---
title: Quant Letter No. 46: April 2024, Week 4
url: https://www.ml-quant.com/issues/2024-04-24/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
issue_date: 2024-04-24
---


# Quant Letter No. 46: April 2024, Week 4

Sent 2024-04-24. 183 items.

## arXiv

### Finance

- __[Statistical Edge](https://arxiv.org/abs/2404.14252)__: The article shows that using past trading data to predict the likelihood of new order execution can give traders a statistical advantage, backed by simulations and real-world trading evidence. (2024-04-22, shares: 6) · https://www.ml-quant.com/papers/arxiv/2404.14252/
- __[Tail Risk](https://arxiv.org/abs/2404.14136)__: The article proves the joint identifiability and elicitability of tail risk measures and the corresponding quantile, making it easier to fit, compare, and validate models for tail risk measures. (2024-04-22, shares: 5) · https://www.ml-quant.com/papers/arxiv/2404.14136/
- __[Buyback Contracts](https://arxiv.org/abs/2404.13754)__: The article proposes a new method for pricing and managing share buyback contracts using optimized heuristic strategies, which overcomes the limitations of traditional optimal control methods. (2024-04-21, shares: 5) · https://www.ml-quant.com/papers/arxiv/2404.13754/
- __[Asymmetric CAPM](https://arxiv.org/abs/2404.14137)__: The article presents a new capital asset pricing model that takes into account the different risks of falling and rising prices, offering a more accurate measure of market risk. (2024-04-22, shares: 4) · https://www.ml-quant.com/papers/arxiv/2404.14137/
- __[Network Contagion Centrality](https://arxiv.org/abs/2404.14337)__: The article presents a new method for assessing the risk of financial contagion across networks, including a statistical validation technique for practical application. (2024-04-22, shares: 3) · https://www.ml-quant.com/papers/arxiv/2404.14337/
- __[Farmers' Climate Change Adaptation](https://arxiv.org/abs/2404.13818)__: The study introduces the Environmental, Social, Economics (ESE) score, a comprehensive sustainable credit rating system for farmers, incorporating agricultural sustainability factors into personal credit assessments. (2024-04-22, shares: 2) · https://www.ml-quant.com/papers/arxiv/2404.13818/
- __[Checkerboard Copula Dependence](https://arxiv.org/abs/2404.15023)__: The research suggests using the checkerboard copula for selecting the copula when not all marginal distributions of a random vector are continuous, as it contains the least information among all possible copulas. (2024-04-23, shares: 2) · https://www.ml-quant.com/papers/arxiv/2404.15023/
- __[Distortion Risk Measures](https://arxiv.org/abs/2404.13637)__: The paper offers a comprehensive framework for extreme distortion risk measures, establishing precise lower and upper limits based on the first two moments and some shape information of the underlying distributions. (2024-04-21, shares: 2) · https://www.ml-quant.com/papers/arxiv/2404.13637/

### Economics

- __[Efficient Stochastic Volatility Analysis](https://arxiv.org/abs/2404.13986)__: The article discusses a Bayesian analysis of stochastic volatility models, using a new approximation method and applying it to study excess holding yields. (2024-04-22, shares: 7) · https://www.ml-quant.com/papers/arxiv/2404.13986/
- __[Competition in Crowdsourcing](http://dx.doi.org/10.1287/orsc.2021.15163)__: The study examines the balance between competition and collaboration in crowdsourcing communities, noting that increased skill levels lead to more competition but also leniency towards non-threatening members. (2024-04-22, shares: 7) · https://www.ml-quant.com/papers/doi/10-1287-orsc-2021-15163/
- __[US Higher Education Skills Dataset](https://arxiv.org/abs/2404.13163)__: The research uses natural language processing to analyze over three million U.S. course syllabi, creating detailed skill profiles for institutions and academic majors to aid in workforce development research. (2024-04-19, shares: 5) · https://www.ml-quant.com/papers/arxiv/2404.13163/
- __[Firm Growth Models Revisited](https://arxiv.org/abs/2404.15226)__: The paper explores firm growth models, presenting new theoretical and empirical findings on firm size and growth rates, and suggesting a lack of understanding about the mechanisms driving firm growth. (2024-04-23, shares: 4) · https://www.ml-quant.com/papers/arxiv/2404.15226/
- __[Statewide Travel Forecasting with GPS](https://arxiv.org/abs/2404.13211)__: A study uses smartphone GPS data to predict travel demand in Indiana, showing a 5-15% difference from traditional models, with growth expected in suburban areas and urban corridors. (2024-04-20, shares: 3) · https://www.ml-quant.com/papers/arxiv/2404.13211/
- __[Natural Capital and Climate Change](https://arxiv.org/abs/2404.14041)__: The article proposes treating Earth's natural capital as a stock option to maintain and restore ecosystems, in response to the climate crisis caused by excessive fossil fuel use. (2024-04-22, shares: 2) · https://www.ml-quant.com/papers/arxiv/2404.14041/
- __[Global Minimum Tax for Corporations](https://arxiv.org/abs/2404.14302)__: The Global Minimum Tax on large multinational firms boosts tax revenues in both tax haven and non-haven countries, but gradual rate increases may lead to a split tax rate and lower revenues in non-haven countries. (2024-04-22, shares: 2) · https://www.ml-quant.com/papers/arxiv/2404.14302/
- __[Tracking Economy with Public Ledgers](https://arxiv.org/abs/2404.13189)__: The article suggests a tool to track every cent in the economy using a serial number and a public ledger, to enhance public spending efficiency and effectiveness, while preserving privacy and enabling statistical analysis. (2024-04-19, shares: 2) · https://www.ml-quant.com/papers/arxiv/2404.13189/

### Miscellaneous

- __[Continuous-time Risk-sensitive RL](https://arxiv.org/abs/2404.12598)__: The article discusses continuous-time risk-sensitive reinforcement learning. It shows its similarity to maintaining the martingale property of a process involving the value function and the q-function. The paper also suggests an algorithm that includes risk sensitivity and proves its effectiveness for Merton's investment problem and its enhanced performance in the linear-quadratic control problem. (2024-04-19, shares: 3) · https://www.ml-quant.com/papers/arxiv/2404.12598/

### Crypto & Blockchain

- __[Optimal Liquidity in AMMs](https://arxiv.org/abs/2404.13291)__: The study presents a model for ideal liquidity provision in automated market makers, indicating that exchange rate volatility increases the optimal transaction fee and the pricing formula is tied to the performance of underlying assets. (2024-04-20, shares: 7) · https://www.ml-quant.com/papers/arxiv/2404.13291/
- __[Blockchain Governance: Liquid Democracy](https://arxiv.org/abs/2404.13768?utm_source=dlvr.it&utm_medium=twitter)__: Liquid Democracy: The research investigates how DAOs can enhance human cooperation, emphasizing the role of the Network Nervous System's staking mechanism in aligning personal interests with the long-term success of the DAO. (2024-04-21, shares: 4) · https://www.ml-quant.com/papers/arxiv/2404.13768/

### Historical Trending

- __[Neural Networks for Swaptions Pricing](https://arxiv.org/abs/2404.11257)__: The article introduces a new method for pricing financial derivatives using advanced deep learning techniques, enhancing efficiency and precision in computational finance. (2024-04-17, shares: 6) · https://www.ml-quant.com/papers/arxiv/2404.11257/
- __[AI in Financial Trading: Recommender Systems](https://arxiv.org/abs/2404.11080)__: Recommender Systems: The text explores the use of Artificial Intelligence, particularly Recommender Systems, to mimic traditional asset selection and portfolio construction, integrating AI data analytics with AI-based portfolio construction methods. (2024-04-17, shares: 4) · https://www.ml-quant.com/papers/arxiv/2404.11080/

## SSRN

### Quantitative

- __[Robust Option Straddle Strategy in Indian Markets](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801612)__: The research uses statistical methods and machine learning to predict market volatility and test investment strategies, revealing significant profit potential. (2024-04-20, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801612/
- __[Automated Market Makers Liquidity Pool Design](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801468)__: The study suggests a model for optimal liquidity in automated market makers, showing that exchange rate volatility increases the optimal transaction fee. (2024-04-20, shares: 5) · https://www.ml-quant.com/papers/ssrn/4801468/
- __[Dynamic Data Auditing Scheme for Intelligent IoT Systems](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4804310)__: The article explores the use of blockchain for data integrity verification in Intelligent IoT, emphasizing the need for a more efficient certificate storage strategy. (2024-04-23, shares: 2) · https://www.ml-quant.com/papers/ssrn/4804310/
- __[Byzantine-Robust Federated Learning with Clustering Model Updates](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801966)__: The paper presents FedCmp, a method to protect federated learning from Byzantine attacks by detecting malicious updates using a multiround voting system. (2024-04-20, shares: 3) · https://www.ml-quant.com/papers/ssrn/4801966/
- __[SNF Decay Heat Validation Data Applicability Domain](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801241)__: The study examines decay heat validation data of spent nuclear fuel, finding gaps and suggesting additional measurements for improved validation coverage. (2024-04-20, shares: 3) · https://www.ml-quant.com/papers/ssrn/4801241/
- __[Credit Card Fraud Detection](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801244)__: A new study presents a tailored logistic regression model that can accurately detect credit card fraud, addressing issues of overfitting and underfitting. (2024-04-20, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801244/
- __[SEC Regulation of Investments](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803198)__: The SEC is adjusting its regulatory authority to accommodate the rise of crypto assets, in line with its mission to safeguard investors and facilitate capital formation. (2024-04-22, shares: 3) · https://www.ml-quant.com/papers/ssrn/4803198/
- __[Mutual Funds and Social Responsibility](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801953)__: Chinese mutual funds investing in socially responsible investments (SRI) have shown improved performance, indicating that SRI can be financially beneficial for investors and funds. (2024-04-20, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801953/
- __[Local Volatility Calibration](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801520)__: A study introduces a new calibration criterion for local volatility models that minimizes the gap between theoretical and market implied volatilities, balancing calibration error reduction and overfitting prevention. (2024-04-20, shares: 3) · https://www.ml-quant.com/papers/ssrn/4801520/
- __[AI Analytics Post-IPO](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803528)__: Companies that adopt AI analytics after their IPOs experience a smaller drop in innovation quality, as AI analytics helps alleviate the pressure to meet short-term financial targets and disclosure obligations. (2024-04-22, shares: 2) · https://www.ml-quant.com/papers/ssrn/4803528/
- __[Machine Learning for Crop Yield Prediction](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803868)__: The study uses machine learning to improve crop yield predictions in eFarming, enhancing forecast accuracy and reliability. (2023-06-10, shares: 2) · https://www.ml-quant.com/papers/ssrn/4803868/
- __[IoT and ML in Healthcare Systems](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4798953)__: The article explores the role of IoT and Machine Learning in transforming healthcare management, enabling early disease detection and improved patient care. (2023-06-09, shares: 2) · https://www.ml-quant.com/papers/ssrn/4798953/
- __[Cloud Resource Optimization with ML](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803863)__: The article examines the use of machine learning in optimizing cloud resources for fluctuating workloads, discussing the pros and cons of current techniques. (2023-06-09, shares: 2) · https://www.ml-quant.com/papers/ssrn/4803863/
- __[IoT Device Authentication for Cyber Security](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4798899)__: The study explores the application of machine learning in boosting cybersecurity through IoT device authentication and anomaly detection. (2023-06-10, shares: 3) · https://www.ml-quant.com/papers/ssrn/4798899/
- __[Debt Access and Trade Credit](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4798326)__: The research indicates that better access to debt markets reduces firms' trade credit provision, implying improved bargaining power against influential customers. (2021-11-23, shares: 2) · https://www.ml-quant.com/papers/ssrn/4798326/
- __[Mobile Phones in Rural Bangladesh](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801449)__: A study suggests that mobile phone ownership can help reduce poverty and diversify income, especially in less educated households and deprived areas. (2022-08-04, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801449/
- __[Crisis Prediction for U.S. Regional Banks](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4800639)__: Techniques such as clustering, ridge regression, and sequential feature selection can predict U.S. regional banking crises, helping to improve risk-adjusted returns. (2024-01-18, shares: 2) · https://www.ml-quant.com/papers/ssrn/4800639/
- __[Macroprudential Policy in South Africa](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4804084)__: A study examines South Africa's credit market response to macroprudential policy measures, focusing on the impact on equitable credit allocation. (2024-03-15, shares: 2) · https://www.ml-quant.com/papers/ssrn/4804084/
- __[AI Expert Testimony Admissibility](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4798356)__: The use of AI-based evidence in court depends on the transparency of the AI system's methodology and the court's ability to evaluate it. (2024-04-15, shares: 4) · https://www.ml-quant.com/papers/ssrn/4798356/
- __[Acquirers' Cash Flow in M&A Deals](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4800542)__: Companies with low free cash flow often acquire lower quality targets, use stock as payment, and face increased financial leverage, leading to underperformance in the stock market. (2022-08-08, shares: 2) · https://www.ml-quant.com/papers/ssrn/4800542/

### Financial

- __[Asset Allocation with Laplace Distribution](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4804682)__: The author adapts a theory for multivariate asset allocation to include returns from a multivariate Laplace distribution, noting slight differences due to problem dimensionality and variance rescaling. (2024-04-23, shares: 42) · https://www.ml-quant.com/papers/ssrn/4804682/
- __[Trading Volume Alpha](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802345)__: The article emphasizes the importance of predicting trading volume in portfolio optimization, noting that the benefits can be as significant as those from return prediction. (2024-04-21, shares: 9) · https://www.ml-quant.com/papers/ssrn/4802345/
- __[Gaussian Processes for Volatility](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803161)__: The study enhances the modeling of the implied volatility surface in option pricing by incorporating temporal dynamics into a Gaussian Process, which performs better than traditional models. (2024-04-22, shares: 4) · https://www.ml-quant.com/papers/ssrn/4803161/
- __[Machine Learning vs Trend Following in Chinese Futures](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802493)__: Machine learning models, especially Multilayer Perceptron (MLP), excel in predicting returns in the Chinese commodity futures market, due to their ability to identify complex patterns and use both volume and price data. (2024-04-22, shares: 2) · https://www.ml-quant.com/papers/ssrn/4802493/
- __[Neural Networks in Merger Arbitrage](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802998)__: The use of feed forward neural networks (FFNNs) in making merger arbitrage investment decisions proves effective, outperforming other models and increasing risk-standardized deal returns on average. (2024-04-22, shares: 3) · https://www.ml-quant.com/papers/ssrn/4802998/
- __[Bitcoin Risk in Equity Portfolios](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4800462)__: The study indicates that Bitcoin's risk impact on equity portfolios has grown, particularly after COVID-19, highlighting a need for investment professionals to manage Bitcoin-related risks. (2024-04-18, shares: 2) · https://www.ml-quant.com/papers/ssrn/4800462/
- __[Credit Factor Spillovers](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4805159)__: The research identifies 21 bond factors that generate significant positive alpha in bond and CDS markets, with similar factor performance across equity and credit markets and noticeable momentum in bond factors. (2024-04-23, shares: 3) · https://www.ml-quant.com/papers/ssrn/4805159/
- __[Regime Asset Allocation](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801115)__: The article suggests new portfolio construction methods that use macroeconomic regime information, offering a strategic and analytical alternative to the usual tactical asset allocation approach. (2024-04-19, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801115/
- __[Option Distributions](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801530)__: The study uses an initial density forecast and monthly index options' bid-ask prices to predict one-month equity index returns, finding that the implied physical significantly improves the initial and implied risk neutral. (2024-04-20, shares: 3) · https://www.ml-quant.com/papers/ssrn/4801530/
- __[Firm Characteristics in Brazil](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801117)__: The research finds that price-related metrics such as momentum, liquidity, size, and volatility have a stronger influence on stock returns in the Brazilian financial market than accounting variables. (2024-04-19, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801117/
- __[Volatility Disagreement](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802261)__: The study uses a model to demonstrate how differing investor opinions on future market volatility can influence the trading of volatility derivatives and impact the stock market, particularly during periods of market instability. (2023-11-29, shares: 2) · https://www.ml-quant.com/papers/ssrn/4802261/
- __[ETFs Impact](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4804048)__: The research shows that ETF ownership and trading have different effects on stock volatility, and that these two mechanisms work together, resolving the debate on the role of ETFs in spreading shocks or providing liquidity to stocks. (2024-03-15, shares: 2) · https://www.ml-quant.com/papers/ssrn/4804048/
- __[Double-Exponential Jumps](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802448)__: The paper introduces a volatility model that combines double-exponential jumps and GARCH volatility diffusion, effectively capturing major market changes, particularly during the COVID-19 crisis, and suggests its potential use in improving option market fitness and hedging. (2024-04-01, shares: 3) · https://www.ml-quant.com/papers/ssrn/4802448/
- __[Bitcoin in German Equities](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4800902)__: The study finds that while Bitcoin can improve risk-return exposures for German stock market investors, it is not very effective as a hedge against market downturns. (2022-05-19, shares: 5) · https://www.ml-quant.com/papers/ssrn/4800902/
- __[Arbitrage-Free Model](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4799267)__: The research presents a four-factor arbitrage-free Nelson-Siegel-Svensson model that is similar to the DNSS model, providing a virtually arbitrage-free DNSS model and broadening the scope for more detailed structural analysis. (2024-04-15, shares: 16) · https://www.ml-quant.com/papers/ssrn/4799267/
- __[Smart Rebalancing](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4800836)__: The article discusses how smart rebalancing can enhance investment strategies by minimizing trading costs, especially in smart beta and factor strategies. (2023-03-11, shares: 2) · https://www.ml-quant.com/papers/ssrn/4800836/
- __[ETF Indexing](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4798552)__: The study reveals that the indexing strategy of ETFs greatly affects the value of its assets, with larger bid-ask spreads for equally weighted ETF index assets. (2024-04-16, shares: 2) · https://www.ml-quant.com/papers/ssrn/4798552/
- __[Equity Lender Base](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802456)__: The research indicates that short sellers mainly borrow from a few repeated lenders, implying that lending-side issues contribute to market inefficiency. (2022-12-09, shares: 2) · https://www.ml-quant.com/papers/ssrn/4802456/
- __[Investment Banks in Equity Financing](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4804665)__: The study shows that confidentially marketed public offerings (CMPOs) generally raise more capital and attract more investors than registered direct offerings (RDOs), but high-risk firms favor RDOs, and both offerings yield negative average abnormal returns. (2024-01-17, shares: 3) · https://www.ml-quant.com/papers/ssrn/4804665/
- __[Currency Portfolios](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801233)__: The research suggests that high foreign exchange (FX) ambiguity results in high currency carry returns, indicating that FX ambiguity encompasses aspects of uncertainty not covered by FX volatility. (2024-03-26, shares: 2) · https://www.ml-quant.com/papers/ssrn/4801233/

## RePEc

### Finance

- __[AI in Finance](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24000581%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A84%3Ay%3A2024%3Ai%3Ac%3As0927538x24000581)__: The article highlights the importance of combining financial expertise with data analytics skills in the era of big data and AI to better manage the financial system. (2024-04-24, shares: 26) · https://www.ml-quant.com/papers/repec/eee-pacfin-v-84-y-2024-i-c-s0927538x24000581/
- __[Cryptocurrency Volatility](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1093%2Fjjfinec%2Fnbac034%3Bh%3Drepec%3Aoup%3Ajfinec%3Av%3A22%3Ay%3A2024%3Ai%3A1%3Ap%3A224-251.)__: The study reveals that price formation for Bitcoin and Ether primarily happens on centralized exchanges, with slower price adjustments on decentralized platforms. (2024-04-24, shares: 19) · https://www.ml-quant.com/papers/repec/oup-jfinec-v-22-y-2024-i-1-p-224-251/
- __[Efficient Frontier Kinks](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fabs%2F10.1142%2FS0217595923500124%3Bh%3Drepec%3Awsi%3Aapjorx%3Av%3A41%3Ay%3A2024%3Ai%3A02%3An%3As0217595923500124)__: The paper explores the characteristics of efficient frontiers in portfolio optimization, demonstrating the absence of tangency and the universal presence of kinks in portfolio choices. (2024-04-24, shares: 16) · https://www.ml-quant.com/papers/repec/wsi-apjorx-v-41-y-2024-i-02-n-s0217595923500124/
- __[Sectoral Contagion Risk](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1566014124000050%3Bh%3Drepec%3Aeee%3Aememar%3Av%3A59%3Ay%3A2024%3Ai%3Ac%3As1566014124000050)__: The study uncovers the structure of sectoral risk contagion, emphasizing the need for accurate identification of risk contagion for effective regulation due to strong inter-sector effects. (2024-04-24, shares: 14) · https://www.ml-quant.com/papers/repec/eee-ememar-v-59-y-2024-i-c-s1566014124000050/
- __[Memory-Enhanced Commodity Momentum](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F1351847X.2023.2220118%3Bh%3Drepec%3Ataf%3Aeurjfi%3Av%3A30%3Ay%3A2024%3Ai%3A8%3Ap%3A773-802)__: The research suggests a memory-enhanced momentum strategy for commodity futures markets, which outperforms traditional momentum and is independent of the overall commodity market movement. (2024-04-24, shares: 12) · https://www.ml-quant.com/papers/repec/taf-eurjfi-v-30-y-2024-i-8-p-773-802/

### Statistical

- __[Machine Learning vs. Logistic Regression](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.inderscience.com%2Flink.php%3Fid%3D137545%3Bh%3Drepec%3Aids%3Aijmefi%3Av%3A17%3Ay%3A2024%3Ai%3A1%3Ap%3A29-48)__: Machine learning models, particularly XGBoost, outperform logistic regressions in predicting credit risk in Brazilian wholesale firms, according to a study. (2024-04-24, shares: 30) · https://www.ml-quant.com/papers/repec/ids-ijmefi-v-17-y-2024-i-1-p-29-48/
- __[Predicting Systemic Financial Risk](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1062940824000123%3Bh%3Drepec%3Aeee%3Aecofin%3Av%3A71%3Ay%3A2024%3Ai%3Ac%3As1062940824000123)__: A research suggests that machine learning models and financial stress index can effectively predict systemic financial risk, with stock and money markets being the most influential. (2024-04-24, shares: 26) · https://www.ml-quant.com/papers/repec/eee-ecofin-v-71-y-2024-i-c-s1062940824000123/
- __[Cryptocurrency Investor Protection](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJFRC-03-2023-0036%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajfrcpp%3Ajfrc-03-2023-0036)__: A study finds that UK cryptocurrency investors tend to favor high-risk investments and lack diversification, influenced by demographic traits, risk tolerance, tech literacy, and emotional attitudes. (2024-04-24, shares: 12) · https://www.ml-quant.com/papers/repec/eme-jfrcpp-jfrc-03-2023-0036/
- __[Option-Implied Kurtosis](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24000374%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A84%3Ay%3A2024%3Ai%3Ac%3As0927538x24000374)__: Including risk-neutral volatility skewness and kurtosis in volatility forecasting models is more accurate than extrapolation, which may lead to less accurate forecasts, according to a research. (2024-04-24, shares: 11) · https://www.ml-quant.com/papers/repec/eee-pacfin-v-84-y-2024-i-c-s0927538x24000374/

### Machine Learning

- __[Predicting Output Trends in China](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24000763%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A84%3Ay%3A2024%3Ai%3Ac%3As0927538x24000763)__: Machine learning study on Chinese data from 1993-2016 reveals credit as a better output predictor than money, but its predictive power has lessened post-2007 due to financial development. (2024-04-24, shares: 28) · https://www.ml-quant.com/papers/repec/eee-pacfin-v-84-y-2024-i-c-s0927538x24000763/
- __[Challenges in Reusing ML Applications](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10796-023-10388-4%3Bh%3Drepec%3Aspr%3Ainfosf%3Av%3A26%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s10796-023-10388-4)__: The article categorizes machine learning applications into four types based on reuse strategies and offers insights for their development and deployment. (2024-04-24, shares: 23) · https://www.ml-quant.com/papers/repec/spr-infosf-v-26-y-2024-i-2-d-10-1007-s10796-023-10388-4/
- __[CostSensitive ML for Startup Investments](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Fisaf.1548%3Bh%3Drepec%3Awly%3Aisacfm%3Av%3A31%3Ay%3A2024%3Ai%3A1%3An%3Ae1548)__: Machine learning models used to predict the success of Israeli startups can reduce investment risk, but may also limit potential profits by predicting fewer successful startups. (2024-04-24, shares: 22) · https://www.ml-quant.com/papers/repec/wly-isacfm-v-31-y-2024-i-1-n-e1548/
- __[Double/Debiased ML in Stata](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1177%2F1536867X241233641%3Bh%3Drepec%3Atsj%3Astataj%3Av%3A24%3Ay%3A2024%3Ai%3A1%3Ap%3A3-45)__: The article presents a package named ddml for double/debiased machine learning in Stata, supporting estimators of causal parameters for five econometric models and is compatible with various supervised machine learning programs. (2024-04-24, shares: 20) · https://www.ml-quant.com/papers/repec/tsj-stataj-v-24-y-2024-i-1-p-3-45/
- __[Addressing sample bias in ML](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Fjae.3029%3Bh%3Drepec%3Awly%3Ajapmet%3Av%3A39%3Ay%3A2024%3Ai%3A3%3Ap%3A383-400)__: The research suggests two control function methods to improve machine learning accuracy when training and prediction samples differ, reducing prediction error and selection bias. (2024-04-24, shares: 17) · https://www.ml-quant.com/papers/repec/wly-japmet-v-39-y-2024-i-3-p-383-400/
- __[Forecasting S&P 500 returns with ML](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1186%2Fs40854-024-00644-0%3Bh%3Drepec%3Aspr%3Afininn%3Av%3A10%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1186_s40854-024-00644-0)__: The LSTM classifier, a machine learning technique, can predict future stock prices more accurately than random choice, questioning the random walk and efficient market theories. (2024-04-24, shares: 17) · https://www.ml-quant.com/papers/repec/spr-fininn-v-10-y-2024-i-1-d-10-1186-s40854-024-00644-0/
- __[Intelligent beneficiary selection for social programs](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.inderscience.com%2Flink.php%3Fid%3D137864%3Bh%3Drepec%3Aids%3Ainjdan%3Av%3A16%3Ay%3A2024%3Ai%3A2%3Ap%3A181-206)__: A prediction model using the random forest-based machine learning algorithm can accurately identify beneficiaries for social safety programs, improving traditional manual systems. (2024-04-24, shares: 16) · https://www.ml-quant.com/papers/repec/ids-injdan-v-16-y-2024-i-2-p-181-206/
- __[Software estimation with statistical models](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F7%2F1058%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2024%3Ai%3A7%3Ap%3A1058-%3Ad%3A1368511)__: Machine learning techniques, particularly Random Forest, can accurately predict software development time and effort, reducing the risk of miscalculations. (2024-04-24, shares: 13) · https://www.ml-quant.com/papers/repec/gam-jmathe-v-12-y-2024-i-7-p-1058-d-1368511/
- __[ML in hierarchical time series forecasting](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0169207022001029%3Bh%3Drepec%3Aeee%3Aintfor%3Av%3A40%3Ay%3A2024%3Ai%3A2%3Ap%3A597-615)__: A multi-output regression model using variables from different hierarchical levels can provide reliable forecasts for supply chain decisions, especially during deep promotional discounts. (2024-04-24, shares: 13) · https://www.ml-quant.com/papers/repec/eee-intfor-v-40-y-2024-i-2-p-597-615/

### Deep Learning

- __[Big Data Fan Charts](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1544612324000333%3Bh%3Drepec%3Aeee%3Afinlet%3Av%3A61%3Ay%3A2024%3Ai%3Ac%3As1544612324000333)__: The article suggests using machine learning to create big data-driven macroeconomic fan charts for better public policy decision-making. (2024-04-24, shares: 16) · https://www.ml-quant.com/papers/repec/eee-finlet-v-61-y-2024-i-c-s1544612324000333/
- __[Data Augmentation for Legal Cases](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs12626-024-00158-2%3Bh%3Drepec%3Aspr%3Atrosos%3Av%3A18%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1007_s12626-024-00158-2)__: The article explores the application of machine learning in the COLIEE competition, using data augmentation to enhance the analysis of legal documents. (2024-04-24, shares: 13) · https://www.ml-quant.com/papers/repec/spr-trosos-v-18-y-2024-i-1-d-10-1007-s12626-024-00158-2/

### Historical Trending

- __[FDI in Western Europe](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJEFAS-05-2021-0069%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajefasp%3Ajefas-05-2021-0069)__: The study uses machine learning to analyze factors affecting foreign direct investment in Western Europe, offering insights for capital allocation decisions. (2023-12-01, shares: 24) · https://www.ml-quant.com/papers/repec/eme-jefasp-jefas-05-2021-0069/
- __[ML for Stock Market](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.2478%2Fjoim-2023-0019%3Bh%3Drepec%3Avrs%3Ajoinma%3Av%3A15%3Ay%3A2023%3Ai%3A4%3Ap%3A93-104%3An%3A4)__: The article suggests that machine learning could yield profitable returns in day-trading for short-term investments. (2023-11-21, shares: 23) · https://www.ml-quant.com/papers/repec/vrs-joinma-v-15-y-2023-i-4-p-93-104-n-4/
- __[River Sediment Load Prediction with ML](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Ftechniumscience.com%2Findex.php%2Ftechnium%2Farticle%2Fview%2F8099%2F2932%3Bh%3Drepec%3Atec%3Atechni%3Av%3A4%3Ay%3A2022%3Ai%3A1%3Ap%3A239-249)__: The research concludes that the Multilayer perceptron algorithm is the most effective for predicting suspended sediment load, based on machine learning studies. (2022-08-05, shares: 17) · https://www.ml-quant.com/papers/repec/tec-techni-v-4-y-2022-i-1-p-239-249/
- __[Factorial Models in Economic Analysis](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Frepec.vavt.ru%2FRePEc%2Falq%2Frufejo%2Frfej_2022_11_17-38.pdf%3Bh%3Drepec%3Aalq%3Arufejo%3Arfej_2022_11_17-38)__: The article proposes new methods for studying time series and building factor models in response to changing economic and sectoral trends. (2022-12-09, shares: 9) · https://www.ml-quant.com/papers/repec/alq-rufejo-rfej-2022-11-17-38/
- __[Real Estate Prices and Global Shock](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.econstor.eu%2Fbitstream%2F10419%2F285368%2F1%2F1883088372.pdf%3Bh%3Drepec%3Azbw%3Acfswop%3A285368)__: The study finds that the 2020 pandemic had only temporary negative effects on German real estate rents and increased asset prices, using causal machine learning. (2022-10-18, shares: 8) · https://www.ml-quant.com/papers/repec/zbw-cfswop-285368/
- __[Dragonfly Optimization for Feature Selection](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Ftechniumscience.com%2Findex.php%2Ftechnium%2Farticle%2Fview%2F7203%2F2817%3Bh%3Drepec%3Atec%3Atechni%3Av%3A4%3Ay%3A2022%3Ai%3A1%3Ap%3A44-52)__: A study uses the Dragonfly algorithm to optimize machine learning in breast cancer classification by reducing and eliminating duplicate features. (2022-01-15, shares: 7) · https://www.ml-quant.com/papers/repec/tec-techni-v-4-y-2022-i-1-p-44-52/
- __[IFCISA: Financial Conditions Index for South America](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.bcu.gub.uy%2FEstadisticas-e-Indicadores%2FDocumentos%2520de%2520Trabajo%2F6.2023.pdf%3Bh%3Drepec%3Abku%3Adoctra%3A2023006)__: Financial Conditions Index for South America: An index is proposed to assess the financial conditions of Brazil, Chile, and Uruguay, particularly in relation to the 2022 Russian invasion of Ukraine and commodity prices. (2023-09-04, shares: 7) · https://www.ml-quant.com/papers/repec/bku-doctra-2023006/
- __[Markowitz-Based Model for Market Shock Hedging](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Frfe.1147%3Bh%3Drepec%3Awly%3Arevfec%3Av%3A40%3Ay%3A2022%3Ai%3A4%3Ap%3A335-347)__: A paper suggests a new investment method for endowments and foundations, involving long only positions in two optimized long/short funds to outperform the typical stock/bond split. (2022-02-10, shares: 7) · https://www.ml-quant.com/papers/repec/wly-revfec-v-40-y-2022-i-4-p-335-347/
- __[Asymmetric Stock Returns and Trading Volume Relationship](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FRAF-02-2023-0045%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Arafpps%3Araf-02-2023-0045)__: A study reveals differences in return-volume relationships for French SMEs and blue chips depending on market conditions and size. (2023-07-04, shares: 7) · https://www.ml-quant.com/papers/repec/eme-rafpps-raf-02-2023-0045/
- __[International CPI Inflation Comovement Strengthened](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.cambridge.org%2Fcore%2Fproduct%2Fidentifier%2FS1365100521000316%2Ftype%2Fjournal_article%3Bh%3Drepec%3Acup%3Amacdyn%3Av%3A27%3Ay%3A2023%3Ai%3A1%3Ap%3A111-140_6)__: A study finds a structural break in international CPI inflation comovement in 2008, based on data from 29 countries from 2001 to 2018. (2023-01-21, shares: 6) · https://www.ml-quant.com/papers/repec/cup-macdyn-v-27-y-2023-i-1-p-111-140-6/

## Machine learning

### Recently Published

- __[Language Model as Q-Function](https://arxiv.org/abs/2404.12358)__: The research explores Direct Preference Optimization (DPO) in Reinforcement Learning From Human Feedback (RLHF), showing its ability to assign credit and its similarity to search-based algorithms in language generation. (2024-04-18, shares: 107) · https://www.ml-quant.com/papers/arxiv/2404.12358/
- __[Dynamic Mesh Reconstruction](https://arxiv.org/abs/2404.12379)__: The Dynamic Gaussians Mesh (DG-Mesh) framework is introduced, which significantly enhances mesh reconstruction and rendering from a single monocular video. (2024-04-18, shares: 58) · https://www.ml-quant.com/papers/arxiv/2404.12379/
- __[FlowMap: Camera Poses and Depth](https://arxiv.org/pdf/2404.15259.pdf)__: Camera Poses and Depth: FlowMap, a new method for determining camera poses, camera intrinsics, and dense depth of a video sequence, performs better than previous methods and matches top Structure from Motion (SfM) methods. (2024-04-23, shares: 48) · https://www.ml-quant.com/papers/arxiv/2404.15259/
- __[SAM for Object Segmentation](https://arxiv.org/pdf/2404.12389.pdf)__: The study applies the Segment Anything model (SAM) to motion segmentation in videos, showing that simple methods combining SAM with optical flow surpass previous approaches. (2024-04-18, shares: 39) · https://www.ml-quant.com/papers/arxiv/2404.12389/
- __[PhysDreamer: Object Interaction](https://arxiv.org/abs/2404.13026)__: Object Interaction: PhysDreamer, a physics-based approach for synthesizing realistic 3D object dynamics in response to interactions, allows static 3D objects to respond dynamically to interactive stimuli. (2024-04-19, shares: 36) · https://www.ml-quant.com/papers/arxiv/2404.13026/
- __[SelfEvolution of Large Language Models](https://arxiv.org/abs/2404.14387)__: The article discusses self-evolution methods in large language models, providing a conceptual framework and suggesting future improvements. (2024-04-22, shares: 30) · https://www.ml-quant.com/papers/arxiv/2404.14387/
- __[FewImage Outdoor Scene Reconstruction](https://arxiv.org/pdf/2404.12378.pdf)__: The authors present 6Img-to-3D, a method for creating 3D reconstructions from six vehicle images, without needing global pose information. (2024-04-18, shares: 23) · https://www.ml-quant.com/papers/arxiv/2404.12378/
- __[D Talking Head Synthesis with Gaussian Splatting](http://arxiv.org/abs/2404.15264v1?utm_source=dlvr.it&utm_medium=twitter)__: The paper introduces TalkingGaussian, a framework for creating high-quality, lip-synchronized talking head videos with improved facial fidelity and efficiency. (2024-04-23, shares: 22) · https://www.ml-quant.com/papers/arxiv/2404.15264/
- __[SubRiemannian Bridge Sampling](http://arxiv.org/abs/2404.15258v1?utm_source=dlvr.it&utm_medium=twitter)__: The study demonstrates a method for bridge simulation on sub-Riemannian manifolds, showing how machine learning can be adapted for training on these manifolds. (2024-04-23, shares: 21) · https://www.ml-quant.com/papers/arxiv/2404.15258/
- __[BLINK: Multimodal LLMs Visual Perception Benchmark](https://arxiv.org/pdf/2404.12390.pdf)__: Multimodal LLMs Visual Perception Benchmark: The authors present Blink, a benchmark for multimodal language models that tests visual perception abilities, showing that current models struggle with these tasks. (2024-04-18, shares: 21) · https://www.ml-quant.com/papers/arxiv/2404.12390/

### Historical Trending

- __[DreamerV3: Algorithm Mastery](https://arxiv.org/abs/2301.04104)__: Algorithm Mastery: DreamerV3, a universal algorithm, excels in over 150 varied tasks, including diamond collection in Minecraft without human input, expanding the scope of reinforcement learning. (2023-01-10, shares: 3254) · https://www.ml-quant.com/papers/arxiv/2301.04104/
- __[Inevitable Machine Consciousness](https://arxiv.org/abs/2403.17101)__: A machine model for consciousness, influenced by Alan Turing's computation model and Bernard Baars' theater model, aligns with major theories of human and animal consciousness, indicating the inevitability of machine consciousness. (2024-03-25, shares: 179) · https://www.ml-quant.com/papers/arxiv/2403.17101/
- __[StructLM: Knowledge Grounding](https://arxiv.org/abs/2402.16671)__: Knowledge Grounding: Despite the limitations of large language models in handling structured data, the new StructLM series, trained on a comprehensive dataset, outperforms task-specific models on 16 out of 18 datasets and sets new benchmarks on 8 Structured Knowledge Grounding tasks. (2024-02-26, shares: 55) · https://www.ml-quant.com/papers/arxiv/2402.16671/
- __[Unified Model Editing Framework](https://arxiv.org/abs/2403.14236)__: The article presents EMMET, a new algorithm that combines the ROME and MEMIT model editing techniques under the preservation-memorization objective. (2024-03-21, shares: 49) · https://www.ml-quant.com/papers/arxiv/2403.14236/
- __[Instruction-Following Model Evaluation for QA](https://arxiv.org/abs/2307.16877)__: The study examines the performance of instruction-following models in question-answering tasks, highlighting their strengths and weaknesses, and suggests new evaluation metrics. (2023-07-31, shares: 44) · https://www.ml-quant.com/papers/arxiv/2307.16877/
- __[BAMBOO: MLFF Electrolyte Development Framework](https://arxiv.org/abs/2404.07181)__: MLFF Electrolyte Development Framework: The paper introduces BAMBOO, a new framework for molecular dynamics simulations, effective in predicting properties of liquid electrolytes for lithium batteries. (2024-04-10, shares: 39) · https://www.ml-quant.com/papers/arxiv/2404.07181/
- __[Human Attention Modelling Trends](https://arxiv.org/abs/2402.18673)__: The survey reviews recent attempts to incorporate human attention mechanisms into deep learning models, discussing future research areas and challenges. (2024-02-28, shares: 37) · https://www.ml-quant.com/papers/arxiv/2402.18673/

## Papers with code

### Trending

- __[LM Transparency Tool](https://github.com/facebookresearch/llm-transparency-tool)__: The article introduces the LM Transparency Tool (LMTT), a toolkit for analyzing the mechanics of Transformer-based language models. (2024-04-19, shares: 260)
- __[RecAI](https://github.com/microsoft/recai)__: The paper presents RecAI, a toolkit aimed at improving recommender systems using Large Language Models (LLMs). (2024-04-20, shares: 254)
- __[State Space Model](https://github.com/event-ahu/mamba_state_space_model_paper_list)__: The article offers a detailed review of SSM, including experimental comparisons and analysis to underline its features and benefits. (2024-04-18, shares: 196)
- __[FaceOnLive](https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux)__: The paper explores SPSC and SDSC, methods that enhance a model's detection of unseen attack types by simulating physical and digital attack clues. (2024-04-19, shares: 184)
- __[Beomi](https://github.com/Beomi/InfiniTransformer)__: The article presents a method for efficiently scaling Transformer-based Large Language Models (LLMs) to manage infinitely long inputs within limited memory and computation. (2024-04-18, shares: 87)

### Rising

- __[Efficient LLM Pretraining](https://github.com/xuezhemax/megalodon)__: Transformers have difficulty scaling to long sequences due to complexity and weak length extrapolation, and alternatives are less efficient and accurate. (2024-04-18, shares: 83)
- __[Trillion-Parameter Transducers](https://github.com/facebookresearch/generative-recommenders)__: Large-scale recommendation systems heavily depend on diverse features and handle billions of user actions daily. (2024-04-19, shares: 80)
- __[MyGO Fine-Grained Tokens](https://github.com/zjukg/mygo)__: Multimodal knowledge graph completion (MMKGC) aims to complete knowledge gaps using both structural and multimodal information. (2024-04-18, shares: 64)
- __[TriForce: Accelerated Sequence Generation](https://github.com/Infini-AI-Lab/TriForce)__: Accelerated Sequence Generation: The key-value (KV) cache, used to avoid unnecessary recomputation, becomes a problem as it increases linearly with sequence length. (2024-04-20, shares: 34)
- __[Prepacking: Fast Prefilling](https://github.com/siyan-zhao/prepacking)__: Fast Prefilling: Prefilling for batches with varying prompt lengths can cause unnecessary computation due to the common practice of padding sequences to the maximum length. (2024-04-18, shares: 27)

## GitHub

### Finance

- __[Machine Learning for Algorithmic Trading](https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading)__: HandsOn Machine Learning for Algorithmic Trading is a new book by Packt that focuses on the application of machine learning in trading algorithms. (2019-05-07, shares: 1293)
- __[Data Quality and Machine Learning](https://github.com/cleanlab/cleanlab)__: The article discusses an AI package designed to enhance the quality of unorganized real-world data used in machine learning. (2018-05-11, shares: 8605)
- __[Bitcoin Volatility Forecasting](https://github.com/chibui191/bitcoin_volatility_forecasting)__: The piece investigates the use of GARCH and Multivariate LSTM models for predicting Bitcoin volatility, useful in crypto trading and risk management. (2021-07-18, shares: 188)
- __[Supplemental Material for Algorithmic Trading](https://github.com/NehrenD/algo_trading_and_quant_strategies)__: The article offers extra resources for understanding algorithmic trading and quantitative strategies. (2020-01-20, shares: 238)
- __[Quantitative Finance and Algorithmic Trading](https://github.com/paulperry/quant)__: The article explores the connection between quantitative finance and algorithmic trading. (2015-04-15, shares: 293)

### Trending

- __[Bridging LLM and Recommender System](https://github.com/microsoft/RecAI)__: The article explores the combination of Language Model and Recommender System to improve user interaction. (2023-09-07, shares: 302)
- __[Productionise Jupyter Notebooks](https://github.com/man-group/notebooker)__: The piece offers a tutorial on efficiently scheduling and operationalizing Jupyter Notebooks. (2020-02-28, shares: 842)
- __[List of papers code and resources](https://github.com/cuge1995/awesome-time-series)__: The article compiles a wide range of papers, codes, and resources for research and development purposes. (2020-03-03, shares: 863)
- __[ThinPlate Spline Motion Model](https://github.com/yoyo-nb/Thin-Plate-Spline-Motion-Model)__: The piece introduces the ThinPlate Spline Motion Model for Image Animation, set to be showcased at CVPR 2022. (2021-11-24, shares: 3288)
- __[Scikitlearn compatible neural network](https://github.com/skorch-dev/skorch)__: The article evaluates a scikit-learn compatible neural network library that uses PyTorch for sophisticated machine learning. (2017-07-18, shares: 5618)

## News

### Quantitative

- __[Tidan Capital's New Volatility Head](https://www.hedgeweek.com/tidan-capital-names-head-of-volatility-and-options-arbitrage/)__: Stockholm-based hedge fund firm, Tidan Capital, has hired Magnus Linder as Portfolio Manager for Nova, a market-neutral volatility and options arbitrage strategy launching in Q2 2024. (2024-04-24, shares: 14)
- __[QuantHouse Adds Book Data](https://www.hedgeweek.com/quanthouse-partners-with-bmll-to-add-historical-book-data-to-real-time-offering/)__: Iress's QuantHouse, a provider of API data feeds to hedge funds, has partnered globally with BMLL, a provider of harmonised historical data and analytics for global equity and futures markets. (2024-04-18, shares: 8)
- __[Managed Futures Lead Hedge Fund Gains](https://www.hedgeweek.com/managed-futures-led-broader-hedge-fund-industry-q1-gains/)__: According to the Unlimited Hedge Fund Barometer report, hedge fund performance was positive in the first quarter, with gross returns across all strategies averaging nearly 6%, led by managed futures strategies. (2024-04-18, shares: 6)
- __[Quant Aspect Up on Currency Bets](https://www.hedgeweek.com/quant-aspect-up-21-on-currency-market-bets/)__: Aspect Capital, a London-based quant hedge fund, reported a 21% return in 2024 in its flagship fund due to successful bets on currency markets and commodities. (2024-04-23, shares: 5)
- __[Athena and BTON Financial Launch AI Solution](https://www.hedgeweek.com/athena-and-bton-financial-launch-ai-powered-trading-solution/)__: Athena has incorporated BTON Financial's AI-powered Trader CoPilot solution into its services to assist fund managers in trading decision-making, particularly in equity and ETF execution. (2024-04-19, shares: 4)
- __[Jane Street's Restraining Order Failure](https://www.hedgeweek.com/jane-street-fails-to-secure-millennium-restraining-order/)__: Jane Street Capital's attempt to secure a restraining order against Millennium Management over alleged trading strategy theft was unsuccessful. (2024-04-22, shares: 4)
- __[TT Introduces Multileg Spread Algo](https://www.hedgeweek.com/tt-adds-multi-leg-spread-execution-algo-to-offering/)__: Trading Technologies International has introduced TT Splicer, a new order type designed to enhance synthetic multileg spread trading. (2024-04-23, shares: 4)
- __[Top 0 Hedge Fund Launches of 2024](https://www.hedgeweek.com/ones-to-watch-2024-the-years-20-most-exciting-hedge-fund-lanches/)__: A report predicts 2024 to be a record-breaking year for new hedge fund launches, identifying the top 20 prospects and potential challenges. (2024-04-23, shares: 3)
- __[Citadel's London Office Deal](https://www.hedgeweek.com/citadel-agrees-major-london-office-deal/)__: Citadel and Citadel Securities have agreed to lease more than 250,000 square feet at the new 2 Finsbury Avenue development in London. (2024-04-19, shares: 3)
- __[Florida Hedge Fund Manager Jailed](https://www.hedgeweek.com/florida-hedge-fund-manager-jailed-over-multi-million-dollar-ponzi-scheme/)__: Michael Wayne Williams received a prison sentence of over a year for using his hedge fund management company, Highguard Capital, in a multimillion-dollar Ponzi scheme. (2024-04-22, shares: 3)

### Miscellaneous

- __[IMF Warns of Hedge Fund Risk](https://www.hedgeweek.com/imf-highlights-hedge-fund-risk-to-us-treasury-market/)__: The IMF has raised concerns about potential financial instability due to a few hedge funds dominating short positions in the US Treasury futures market. (2024-04-19, shares: 3)
- __[Record High Hedge Fund Assets](https://www.hedgeweek.com/hedge-fund-assets-hit-record-4-3tn-says-hfr/)__: The global hedge fund industry's assets have hit a record high of $4.3tn in Q1 2024, marking six quarters of consecutive growth. (2024-04-23, shares: 3)
- __[Hedge Funds Increase Borrowing](https://www.hedgeweek.com/hedge-funds-ramp-up-borrowing-to-five-year-high/)__: Global hedge funds have ramped up their borrowing to a five-year high following a decline in US and European stocks. (2024-04-23, shares: 2)
- __[Quant Hedge Fund Hires Ex-JPMorgan VPs](https://www.efinancialcareers.com/news/this-quant-hedge-fund-has-a-thing-for-ex-jp-morgan-v-ps-in-hong-kong)__: Qube is currently experiencing high popularity. (2024-04-22, shares: 2)
- __[Hedge Fund Mountaineer Calls for Share Buyback](https://www.hedgeweek.com/hedge-fund-mountaineer-wants-600m-vishay-share-buy-back-programme/)__: Mountaineer Partners Management, a hedge fund, has recommended Vishay Intertechnology's board to initiate a $600m share buyback scheme. (2024-04-23, shares: 2)
- __[Banks criticized for PE risk](https://www.fnlondon.com/articles/banks-slammed-over-lax-attitude-to-private-equity-risk-922f6057)__: The Bank of England has criticized lenders for insufficient stress tests and poor board oversight. (2024-04-23, shares: 2)
- __[Citadel intern's coding journey](https://www.efinancialcareers.com/news/citadel-securities-intern)__: Citadel Securities is offering job opportunities to university graduates who lack coding skills. (2024-04-19, shares: 2)
- __[MFA urges FICC for Treasury access](https://www.hedgeweek.com/mfa-urges-ficc-to-improve-access-to-treasury-clearing/)__: The MFA is urging the SEC to improve Treasury clearing access by changing proposed Fixed Income Clearing Corporation rules. (2024-04-18, shares: 2)
- __[JANA urges Wolfspeed sale](https://www.hedgeweek.com/activist-jana-wants-wolfspeed-to-consider-sale/)__: JANA Partners, an activist hedge fund, is encouraging Wolfspeed to consider all options to increase shareholder value, including a potential sale. (2024-04-24, shares: 2)
- __[Schonfeld appoints Alphadyne CTO](https://www.hedgeweek.com/schonfeld-taps-alphadyne-cto-for-exec-role/)__: Thomas DeBow has left his role as Chief Technology Officer at Alphadyne Capital Management to join Schonfeld Advisors. (2024-04-18, shares: 2)

## Podcasts

### Quantitative

- __[Navigating ETFs with James Sayffart](https://pdcn.co/e/www.buzzsprout.com/2034153/14912765-james-sayffart-on-navigating-the-evolving-landscape-of-etfs-and-digital-asset-management.mp3)__: James Sayffart predicts that ETFs, particularly Bitcoin ETFs, will dominate over mutual funds due to the complexities of the mutual fund industry. (2024-04-18, shares: 14)
- __[Mission Control Ready with Andy Constan](https://resolve-gestalt-university.captivate.fm/episode/andy-constan-are-you-ready-for-act-3-this-is-mission-control-ready-for-takeoff)__: Andy Constan discusses the Federal Reserve's interest rate policies, the role of financial advisors, and the future of bonds and equities. (2024-04-19, shares: 13)
- __[Retail Investing with Stephen Sikes](https://pdcn.co/e/www.buzzsprout.com/2034153/14908081-navigating-the-new-era-of-retail-investing-with-stephen-sikes-myths-strategies-and-the-rise-of-the-informed-investor.mp3)__: Stephen Sikes talks about the rise of younger investors and the shift towards more conservative investment vehicles like bonds. (2024-04-19, shares: 13)
- __[Reading the Market with AI](https://omny.fm/shows/masters-in-business/goldman-sachs-ashish-shah-on-reading-the-market-wi)__: Barry Ritholtz interviews Ashish Shah about his career and roles in various financial institutions, including Goldman Sachs Asset Management LP. (2024-04-19, shares: 12)
- __[Insights on Trading Strategies with Nick Baltas](https://macrohive.libsyn.com/ep-212-nick-baltas-on-mastering-systematic-strategies-from-alpha-to-ai)__: Nick Baltas explains the differences between alpha, beta, smart beta, and factors, and discusses why momentum is a profitable strategy in trading. (2024-04-19, shares: 10)

### Related

- __[Gods Among Men](https://traffic.megaphone.fm/TIFM9770334180.mp3?updated=1713451164)__: In a podcast, Professor Ken French discusses his differing views with Professor Eugene Fama, the idea of long-term investing, and common misunderstandings about stock buybacks. (2024-04-19, shares: 8)
- __[Geopolitics and Real Yields](https://audioboom.com/posts/8493789)__: The LGIM Real Assets Research Team predicts four major trends that will influence private investment performance and capital distribution for the upcoming decade. (2024-04-22, shares: 7)
- __[Global FX: USD View](https://audioboom.com/posts/8492382)__: USD View: Ben Bennett, an Investment Strategist, talks about the effects of geopolitical conflicts and US interest rate reductions on the rise of the US dollar and the condition of equities, credit, and sovereign bonds. (2024-04-18, shares: 6)
- __[A History of the Rich](https://atanyrate.podbean.com/e/global-fx-a-strong-dollar-is-not-a-us-problem/)__: Meera Chandan, Arindam Sandilya, and James Nelligan share their optimistic perspective on the US dollar and the consequences of a collective statement from Japan, Korea, and the US. (2024-04-19, shares: 5)
- __[Risk Return, Rationality](https://traffic.megaphone.fm/NBNK1434058412.mp3?updated=1713298354)__: Guido Alfani's book delves into the history of the wealthy in the West, their methods of wealth accumulation, and their societal roles over the past millennium. (2024-04-19, shares: 5)

## Blogs

### Quantitative

- __[Equalizing Risk Contributions](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The effectiveness of the Equal Risk Contribution (ERC) portfolio, which balances risk from different components, relies on the asset universe structure. (2024-04-24, shares: 9)
- __[Balancing Risk and Returns](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The ERC portfolio is a compromise between equally weighted and minimum variance portfolios, with risk distribution dependent on the number of assets in each class. (2024-04-24, shares: 9)
- __[Uneven Risk Distribution](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The ERC portfolio, created by Maillard et al., aims for equal risk contributions but struggles with uneven risk distribution among asset classes. (2024-04-24, shares: 9)
- __[Asset Class Structure Challenge](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The ERC portfolio shows potential for risk-adjusted returns, but its performance is heavily influenced by the asset universe structure. (2024-04-24, shares: 9)
- __[Improving Risk-Adjusted Returns](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: Despite promising risk-adjusted returns, the risk distribution of the ERC portfolio is affected by the number of assets in each asset class. (2024-04-24, shares: 9)

### Related

- __[Trading News](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The effectiveness of the Equal Risk Contribution (ERC) portfolio, which balances risk from different components, depends on the asset universe structure. (2024-04-24, shares: 9)
- __[Forex Trading](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The success of the Equal Risk Contribution (ERC) portfolio is largely influenced by the structure of the asset universe it operates within. (2024-04-24, shares: 9)
- __[Forex News Trading](https://portfoliooptimizer.io/blog/cluster-risk-parity-equalizing-risk-contributions-between-and-within-asset-classes/)__: The Equal Risk Contribution (ERC) portfolio's efficiency in balancing risk is largely reliant on the structure of the asset universe. (2024-04-24, shares: 9)

## Videos

### Quantitative

- __[Algorithmic Trading Info Session](https://www.youtube.com/watch?v=wIoQ5YW7ZEg)__: The course provides comprehensive knowledge on algorithmic trading through theoretical concepts and practical projects. (2024-04-19, shares: 3)
- __[Future Prediction Model Building](https://www.youtube.com/watch?v=qip-yw-Q-68)__: The quantitative finance community criticizes utility functions for their inaccuracy and limited usefulness. (2024-04-23, shares: 3)
- __[Declining Academia Offer](https://www.youtube.com/watch?v=oRzCYICdpRI)__: The author rejected a position as Executive Director of a quantitative finance program due to various personal and professional reasons. (2024-04-21, shares: 6)
- __[Finance LLMs Info Session](https://www.youtube.com/watch?v=7ess86uN37w)__: The Large Language Models in Finance Certificate course offers in-depth understanding of LLMs application in finance, including practical use and recent developments. (2024-04-19, shares: 0)
- __[NYC Residential Building Emissions Decoded](https://www.youtube.com/watch?v=PcVd9XQJfNs)__: The Two Sigma Data Clinic talk highlights the impact of building operations on NYC's GHG emissions and the city's regulatory efforts using public data and efficiency strategies. (2024-04-19, shares: 1)

## X / Twitter

### Quantitative

- __[Predicting Trading Volume](https://twitter.com/quantseeker/status/1782706064670048536)__: A study uses machine learning to accurately predict trading volume based on various factors including technical signals and firm characteristics. (2024-04-23, shares: 5)
- __[Top Trading and Investing Books](https://twitter.com/quantseeker/status/1781703780788052213)__: The article suggests six informative books on trading, investing, and portfolio management. (2024-04-20, shares: 2)
- __[GBRT for Order Book Modeling](https://twitter.com/carlcarrie/status/1780769703335510468)__: The article explores the application of Gradient Boost Regression Tree in Limit Order Book modeling. (2024-04-18, shares: 2)
- __[Equities Premium Challenges](https://twitter.com/quantseeker/status/1782492026857988556)__: The article highlights the challenges in predicting the risk of rare disasters and their impact on equity risk premiums due to limited data on macroeconomic disasters. (2024-04-22, shares: 1)
- __[Calibrating Models](https://twitter.com/predict_addict/status/1782363233480843687)__: The article discusses the finance sector's efforts to improve technologies for calibrating models, which have previously led to substantial financial losses due to poor calibration. (2024-04-22, shares: 1)
- __[Whisper Training Data](https://twitter.com/carlcarrie/status/1782095619877716419)__: The article reports on accusations against OpenAI for allegedly using illegally obtained data to train its Whisper system. (2024-04-21, shares: 1)

### Miscellaneous

- __[Forecasting Tools Underperform](https://twitter.com/carlcarrie/status/1781289934164316187)__: Forecasting tools such as Prophet, TIDE, and XGBoost often have difficulty accurately predicting financial data sets that cover several business cycles and new turning points. (2024-04-19, shares: 1)
- __[Dynamic Factor Modeling with Python](https://twitter.com/carlcarrie/status/1780921056435241311)__: Metran, a Python library, utilizes Dynamic Factor Modeling and auto regressive techniques for a variety of applications, not just hydro timeseries. (2024-04-18, shares: 1)
- __[Analyst Forecast Dispersion Predicts](https://twitter.com/quantseeker/status/1782501063133683727)__: A recent study shows that the dispersion of analyst forecasts usually predicts stock returns negatively. (2024-04-22, shares: 0)
- __[Optimizing Output Quality](https://twitter.com/carlcarrie/status/1781299831299833977)__: The article offers tips on enhancing the quality of interactions with Language Model Machines. (2024-04-19, shares: 0)
- __[PseudoMathematics in Finance](https://twitter.com/carlcarrie/status/1781295623590801551)__: The article reviews a 2014 paper about pseudomathematics and financial fraud, particularly the impact of backtest overfitting. (2024-04-19, shares: 0)
- __[Stock vs. Bond Trends](https://twitter.com/quantseeker/status/1780894912675758092)__: The article posits that Democrats boost the stock market and Republicans favor the bond market, with both showing stronger momentum under the GOP. (2024-04-18, shares: 0)