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Quant LetterNo. 46

April 2024, Week 4

183 items across 11 sections, as sent to readers on 24 April 2024. Paper titles open their ML-Quant page; ↗ goes to the source.

Items
183
Papers
108
Sections
11
Issue
No. 46
View as MarkdownOpen in ClaudeOpen in ChatGPTOpen in PerplexitySite index for AI (llms.txt)

arXiv

Quantitative-finance and ML-for-finance preprints from arXiv.

21 items

Finance8

01

Statistical Edge

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.

6 sharesSource ↗

02

Tail Risk

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.

5 shares4 citations todaySource ↗

03

Buyback Contracts

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.

5 shares1 citation todaySource ↗

04

Asymmetric CAPM

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.

4 sharesSource ↗

05

Network Contagion Centrality

The article presents a new method for assessing the risk of financial contagion across networks, including a statistical validation technique for practical application.

3 shares1 citation todaySource ↗

06

Farmers' Climate Change Adaptation

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.

2 sharesSource ↗

07

Checkerboard Copula Dependence

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.

2 shares6 citations todaySource ↗

08

Distortion Risk Measures

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.

2 shares6 citations todaySource ↗

Economics8

02

Competition in Crowdsourcing

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.

7 shares14 citations todaySource ↗

03

US Higher Education Skills Dataset

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.

5 shares15 citations todaySource ↗

04

Firm Growth Models Revisited

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.

4 shares8 citations todaySource ↗

05

Statewide Travel Forecasting with GPS

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.

3 sharesSource ↗

06

Natural Capital and Climate Change

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.

2 shares4 citations todaySource ↗

07

Global Minimum Tax for Corporations

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.

2 shares4 citations todaySource ↗

08

Tracking Economy with Public Ledgers

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.

2 sharesSource ↗

Miscellaneous1

01

Continuous-time Risk-sensitive RL

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.

3 shares12 citations todaySource ↗

Crypto & Blockchain2

01

Optimal Liquidity in AMMs

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.

7 shares8 citations todaySource ↗

02

Blockchain Governance: Liquid Democracy

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.

4 shares10 citations todaySource ↗

Historical Trending2

01

Neural Networks for Swaptions Pricing

The article introduces a new method for pricing financial derivatives using advanced deep learning techniques, enhancing efficiency and precision in computational finance.

6 shares3 citations todaySource ↗

02

AI in Financial Trading: Recommender Systems

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.

4 shares6 citations todaySource ↗

SSRN

Working papers in finance and economics from SSRN.

40 items

Quantitative20

06

Credit Card Fraud Detection

A new study presents a tailored logistic regression model that can accurately detect credit card fraud, addressing issues of overfitting and underfitting.

2 sharesSource ↗

07

SEC Regulation of Investments

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.

3 sharesSource ↗

08

Mutual Funds and Social Responsibility

Chinese mutual funds investing in socially responsible investments (SRI) have shown improved performance, indicating that SRI can be financially beneficial for investors and funds.

2 sharesSource ↗

09

Local Volatility Calibration

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.

3 sharesSource ↗

10

AI Analytics Post-IPO

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.

2 shares34 citations todaySource ↗

12

IoT and ML in Healthcare Systems

The article explores the role of IoT and Machine Learning in transforming healthcare management, enabling early disease detection and improved patient care.

2 sharesSource ↗

13

Cloud Resource Optimization with ML

The article examines the use of machine learning in optimizing cloud resources for fluctuating workloads, discussing the pros and cons of current techniques.

2 shares2 citations todaySource ↗

15

Debt Access and Trade Credit

The research indicates that better access to debt markets reduces firms' trade credit provision, implying improved bargaining power against influential customers.

2 sharesSource ↗

20

Acquirers' Cash Flow in M&A Deals

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.

2 sharesSource ↗

Financial20

01

Asset Allocation with Laplace Distribution

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.

42 sharesSource ↗

02

Trading Volume Alpha

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.

9 shares4 citations todaySource ↗

03

Gaussian Processes for Volatility

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.

4 sharesSource ↗

05

Neural Networks in Merger Arbitrage

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.

3 sharesSource ↗

06

Bitcoin Risk in Equity Portfolios

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.

2 sharesSource ↗

07

Credit Factor Spillovers

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.

3 sharesSource ↗

08

Regime Asset Allocation

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.

2 sharesSource ↗

09

Option Distributions

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.

3 shares1 citation todaySource ↗

10

Firm Characteristics in Brazil

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.

2 sharesSource ↗

11

Volatility Disagreement

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.

2 sharesSource ↗

12

ETFs Impact

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.

2 sharesSource ↗

13

Double-Exponential Jumps

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.

3 sharesSource ↗

14

Bitcoin in German Equities

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.

5 sharesSource ↗

15

Arbitrage-Free Model

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.

16 sharesSource ↗

16

Smart Rebalancing

The article discusses how smart rebalancing can enhance investment strategies by minimizing trading costs, especially in smart beta and factor strategies.

2 sharesSource ↗

17

ETF Indexing

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.

2 sharesSource ↗

18

Equity Lender Base

The research indicates that short sellers mainly borrow from a few repeated lenders, implying that lending-side issues contribute to market inefficiency.

2 sharesSource ↗

19

Investment Banks in Equity Financing

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.

3 sharesSource ↗

20

Currency Portfolios

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.

2 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

30 items

Finance5

01

AI in Finance

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.

26 sharesSource ↗

02

Cryptocurrency Volatility

The study reveals that price formation for Bitcoin and Ether primarily happens on centralized exchanges, with slower price adjustments on decentralized platforms.

19 sharesSource ↗

03

Efficient Frontier Kinks

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.

16 sharesSource ↗

04

Sectoral Contagion Risk

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.

14 sharesSource ↗

05

Memory-Enhanced Commodity Momentum

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.

12 sharesSource ↗

Statistical4

02

Predicting Systemic Financial Risk

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.

26 sharesSource ↗

03

Cryptocurrency Investor Protection

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.

12 sharesSource ↗

04

Option-Implied Kurtosis

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.

11 sharesSource ↗

Machine Learning9

01

Predicting Output Trends in China

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.

28 sharesSource ↗

04

Double/Debiased ML in Stata

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.

20 sharesSource ↗

05

Addressing sample bias in ML

The research suggests two control function methods to improve machine learning accuracy when training and prediction samples differ, reducing prediction error and selection bias.

17 sharesSource ↗

06

Forecasting S&P 500 returns with ML

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.

17 sharesSource ↗

09

ML in hierarchical time series forecasting

A multi-output regression model using variables from different hierarchical levels can provide reliable forecasts for supply chain decisions, especially during deep promotional discounts.

13 sharesSource ↗

Deep Learning2

01

Big Data Fan Charts

The article suggests using machine learning to create big data-driven macroeconomic fan charts for better public policy decision-making.

16 sharesSource ↗

02

Data Augmentation for Legal Cases

The article explores the application of machine learning in the COLIEE competition, using data augmentation to enhance the analysis of legal documents.

13 sharesSource ↗

Historical Trending10

01

FDI in Western Europe

The study uses machine learning to analyze factors affecting foreign direct investment in Western Europe, offering insights for capital allocation decisions.

24 sharesSource ↗

02

ML for Stock Market

The article suggests that machine learning could yield profitable returns in day-trading for short-term investments.

23 sharesSource ↗

05

Real Estate Prices and Global Shock

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.

8 sharesSource ↗

Machine learning

The general machine-learning papers the letter carried in 2023-25.

17 items

Recently Published10

01

Language Model as Q-Function

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.

107 shares273 citations todaySource ↗

02

Dynamic Mesh Reconstruction

The Dynamic Gaussians Mesh (DG-Mesh) framework is introduced, which significantly enhances mesh reconstruction and rendering from a single monocular video.

58 shares27 citations todaySource ↗

03

FlowMap: Camera Poses and Depth

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.

48 shares75 citations todaySource ↗

04

SAM for Object Segmentation

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.

39 shares39 citations todaySource ↗

05

PhysDreamer: Object Interaction

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.

36 shares227 citations todaySource ↗

09

SubRiemannian Bridge Sampling

The study demonstrates a method for bridge simulation on sub-Riemannian manifolds, showing how machine learning can be adapted for training on these manifolds.

21 shares5 citations todaySource ↗

10

BLINK: Multimodal LLMs Visual Perception Benchmark

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.

21 shares603 citations todaySource ↗

Historical Trending7

01

DreamerV3: Algorithm Mastery

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.

3,254 shares1,418 citations todaySource ↗

02

Inevitable Machine Consciousness

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.

179 shares8 citations todaySource ↗

03

StructLM: Knowledge Grounding

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.

55 shares46 citations todaySource ↗

04

Unified Model Editing Framework

The article presents EMMET, a new algorithm that combines the ROME and MEMIT model editing techniques under the preservation-memorization objective.

49 shares82 citations todaySource ↗

06

BAMBOO: MLFF Electrolyte Development Framework

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.

39 shares36 citations todaySource ↗

07

Human Attention Modelling Trends

The survey reviews recent attempts to incorporate human attention mechanisms into deep learning models, discussing future research areas and challenges.

37 shares15 citations todaySource ↗

Papers with code

Papers that shipped their code, from the Papers with Code feed (2023-25).

10 items

Trending5

01

LM Transparency Tool

The article introduces the LM Transparency Tool (LMTT), a toolkit for analyzing the mechanics of Transformer-based language models.

260 shares

02

RecAI

The paper presents RecAI, a toolkit aimed at improving recommender systems using Large Language Models (LLMs).

254 shares

03

State Space Model

The article offers a detailed review of SSM, including experimental comparisons and analysis to underline its features and benefits.

196 shares

04

FaceOnLive

The paper explores SPSC and SDSC, methods that enhance a model's detection of unseen attack types by simulating physical and digital attack clues.

184 shares

05

Beomi

The article presents a method for efficiently scaling Transformer-based Large Language Models (LLMs) to manage infinitely long inputs within limited memory and computation.

87 shares

Rising5

01

Efficient LLM Pretraining

Transformers have difficulty scaling to long sequences due to complexity and weak length extrapolation, and alternatives are less efficient and accurate.

83 shares

02

Trillion-Parameter Transducers

Large-scale recommendation systems heavily depend on diverse features and handle billions of user actions daily.

80 shares

03

MyGO Fine-Grained Tokens

Multimodal knowledge graph completion (MMKGC) aims to complete knowledge gaps using both structural and multimodal information.

64 shares

04

TriForce: Accelerated Sequence Generation

Accelerated Sequence Generation: The key-value (KV) cache, used to avoid unnecessary recomputation, becomes a problem as it increases linearly with sequence length.

34 shares

05

Prepacking: Fast Prefilling

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.

27 shares

GitHub

Repositories the letter featured.

10 items

Finance5

01

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.

1,293 shares

02

Data Quality and Machine Learning

The article discusses an AI package designed to enhance the quality of unorganized real-world data used in machine learning.

8,605 shares

03

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.

188 shares

Trending5

04

ThinPlate Spline Motion Model

The piece introduces the ThinPlate Spline Motion Model for Image Animation, set to be showcased at CVPR 2022.

3,288 shares

05

Scikitlearn compatible neural network

The article evaluates a scikit-learn compatible neural network library that uses PyTorch for sophisticated machine learning.

5,618 shares

News

Industry news: funds, hiring, markets and regulation.

20 items

Quantitative10

01

Tidan Capital's New Volatility Head

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.

14 shares

02

QuantHouse Adds Book Data

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.

8 shares

03

Managed Futures Lead Hedge Fund 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.

6 shares

04

Quant Aspect Up on Currency 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.

5 shares

05

Athena and BTON Financial Launch AI 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.

4 shares

06

Jane Street's Restraining Order Failure

Jane Street Capital's attempt to secure a restraining order against Millennium Management over alleged trading strategy theft was unsuccessful.

4 shares

07

TT Introduces Multileg Spread Algo

Trading Technologies International has introduced TT Splicer, a new order type designed to enhance synthetic multileg spread trading.

4 shares

08

Top 0 Hedge Fund Launches of 2024

A report predicts 2024 to be a record-breaking year for new hedge fund launches, identifying the top 20 prospects and potential challenges.

3 shares

09

Citadel's 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.

3 shares

10

Florida Hedge Fund Manager Jailed

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.

3 shares

Miscellaneous10

01

IMF Warns of Hedge Fund Risk

The IMF has raised concerns about potential financial instability due to a few hedge funds dominating short positions in the US Treasury futures market.

3 shares

02

Record High Hedge Fund Assets

The global hedge fund industry's assets have hit a record high of $4.3tn in Q1 2024, marking six quarters of consecutive growth.

3 shares

03

Hedge Funds Increase Borrowing

Global hedge funds have ramped up their borrowing to a five-year high following a decline in US and European stocks.

2 shares

06

Banks criticized for PE risk

The Bank of England has criticized lenders for insufficient stress tests and poor board oversight.

2 shares

08

MFA urges FICC for Treasury access

The MFA is urging the SEC to improve Treasury clearing access by changing proposed Fixed Income Clearing Corporation rules.

2 shares

09

JANA urges Wolfspeed sale

JANA Partners, an activist hedge fund, is encouraging Wolfspeed to consider all options to increase shareholder value, including a potential sale.

2 shares

10

Schonfeld appoints Alphadyne CTO

Thomas DeBow has left his role as Chief Technology Officer at Alphadyne Capital Management to join Schonfeld Advisors.

2 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

01

Navigating ETFs with James Sayffart

James Sayffart predicts that ETFs, particularly Bitcoin ETFs, will dominate over mutual funds due to the complexities of the mutual fund industry.

14 shares

02

Mission Control Ready with Andy Constan

Andy Constan discusses the Federal Reserve's interest rate policies, the role of financial advisors, and the future of bonds and equities.

13 shares

03

Retail Investing with Stephen Sikes

Stephen Sikes talks about the rise of younger investors and the shift towards more conservative investment vehicles like bonds.

13 shares

04

Reading the Market with AI

Barry Ritholtz interviews Ashish Shah about his career and roles in various financial institutions, including Goldman Sachs Asset Management LP.

12 shares

Related5

01

Gods Among Men

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.

8 shares

02

Geopolitics and Real Yields

The LGIM Real Assets Research Team predicts four major trends that will influence private investment performance and capital distribution for the upcoming decade.

7 shares

03

Global FX: USD View

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.

6 shares

04

A History of the Rich

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.

5 shares

05

Risk Return, Rationality

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.

5 shares

Blogs

Posts from quant and economics blogs and newsletters.

8 items

Quantitative5

01

Equalizing Risk Contributions

The effectiveness of the Equal Risk Contribution (ERC) portfolio, which balances risk from different components, relies on the asset universe structure.

9 shares

02

Balancing Risk and Returns

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.

9 shares

03

Uneven Risk Distribution

The ERC portfolio, created by Maillard et al., aims for equal risk contributions but struggles with uneven risk distribution among asset classes.

9 shares

04

Asset Class Structure Challenge

The ERC portfolio shows potential for risk-adjusted returns, but its performance is heavily influenced by the asset universe structure.

9 shares

05

Improving Risk-Adjusted Returns

Despite promising risk-adjusted returns, the risk distribution of the ERC portfolio is affected by the number of assets in each asset class.

9 shares

Related3

01

Trading News

The effectiveness of the Equal Risk Contribution (ERC) portfolio, which balances risk from different components, depends on the asset universe structure.

9 shares

02

Forex Trading

The success of the Equal Risk Contribution (ERC) portfolio is largely influenced by the structure of the asset universe it operates within.

9 shares

03

Forex News Trading

The Equal Risk Contribution (ERC) portfolio's efficiency in balancing risk is largely reliant on the structure of the asset universe.

9 shares

Videos

Talks, lectures and tutorials.

5 items

Quantitative5

01

Algorithmic Trading Info Session

The course provides comprehensive knowledge on algorithmic trading through theoretical concepts and practical projects.

3 shares

02

Future Prediction Model Building

The quantitative finance community criticizes utility functions for their inaccuracy and limited usefulness.

3 shares

03

Declining Academia Offer

The author rejected a position as Executive Director of a quantitative finance program due to various personal and professional reasons.

6 shares

04

Finance LLMs Info Session

The Large Language Models in Finance Certificate course offers in-depth understanding of LLMs application in finance, including practical use and recent developments.

0 shares

05

NYC Residential Building Emissions Decoded

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.

1 shares

X / Twitter

Posts from quant researchers on X.

12 items

Quantitative6

01

Predicting Trading Volume

A study uses machine learning to accurately predict trading volume based on various factors including technical signals and firm characteristics.

5 shares

03

GBRT for Order Book Modeling

The article explores the application of Gradient Boost Regression Tree in Limit Order Book modeling.

2 shares

04

Equities Premium Challenges

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.

1 shares

05

Calibrating Models

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.

1 shares

06

Whisper Training Data

The article reports on accusations against OpenAI for allegedly using illegally obtained data to train its Whisper system.

1 shares

Miscellaneous6

01

Forecasting Tools Underperform

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.

1 shares

02

Dynamic Factor Modeling with Python

Metran, a Python library, utilizes Dynamic Factor Modeling and auto regressive techniques for a variety of applications, not just hydro timeseries.

1 shares

04

Optimizing Output Quality

The article offers tips on enhancing the quality of interactions with Language Model Machines.

0 shares

05

PseudoMathematics in Finance

The article reviews a 2014 paper about pseudomathematics and financial fraud, particularly the impact of backtest overfitting.

0 shares

06

Stock vs. Bond Trends

The article posits that Democrats boost the stock market and Republicans favor the bond market, with both showing stronger momentum under the GOP.

0 shares

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