November 2023, Week 1

Estimating Realized Correlation in High-Frequency Financial Data

A new method for analyzing high-frequency financial data shows that intraday market changes are mainly driven by intraday correlation changes.

30 Oct 20235 shares2 citations todaySource ↗

Agent-based Model for Deep Hedging

The Chiarella-Heston model, an advanced agent-based model, enhances deep hedging strategies by incorporating different types of traders, and performs better in creating realistic financial time series than three other models.

28 Oct 20239 shares13 citations todaySource ↗

Estimating Systemic Risk in Networks

The article proposes a two-step nonparametric estimation method for measuring financial systemic risk, showing that only the second step's estimation error affects the results.

28 Oct 20234 sharesSource ↗

Optimal Fees in Hedge Funds with Compensation

The research suggests alternative fee schemes for hedge funds, arguing that traditional management and performance fees are suboptimal and that the recommended schemes reduce the fund's volatility.

29 Oct 20233 shares3 citations todaySource ↗

Visibility Graph Analysis of Oil Futures Markets

A study using visibility graph methodology examines the effects of the Russia-Ukraine conflict and COVID-19 on crude oil futures markets, uncovering distinct market reactions to global disturbances.

29 Oct 20235 shares1 citation todaySource ↗

Investing Characteristics' Impact on Financial Performance

A research study identifies 13 key investment characteristics that contribute to success in the equity market, offering a deeper understanding of the necessary traits for success in these markets.

1 Nov 20235 shares1 citation todaySource ↗

Corruption's Impact on Performance

The study investigates the effect of managerial corruption on company performance, emphasizing the need for ethical corporate governance and careful manager selection.

30 Oct 20234 shares2 citations todaySource ↗

Characterizing Law-Invariant Measures

The paper introduces new characterizations for law-invariant star-shaped functionals, demonstrating their wide use in finance, insurance, and probability scenarios.

30 Oct 20232 shares16 citations todaySource ↗

NFT Market Fluctuations: Statistical Properties

Statistical Properties: The study shows that the Non-fungible token (NFT) market, although new and unique in its trading methods, has many statistical similarities with traditional financial markets, with some variations in certain quantitative measures.

30 Oct 20237 shares15 citations todaySource ↗

High Frequency Analysis of Bitcoin Volume-Volatility

Research shows that unexpected trading volume is the key factor in spot volatility in Bitcoin futures and spot markets, while Bitcoin futures volumes have a calming effect on systemic volatility.

27 Oct 20232 sharesSource ↗

Optimal Execution with Machine Learning

A study introduces a numerical algorithm using dynamic programming and deep learning for optimal order execution, highlighting the convenience of using neural-network substitutes in stochastic control issues.

18 Apr 202252 shares4 citations todaySource ↗

Analysis of Nonlinear Pricing

A paper proposes a method to calculate the best price schedule considering consumer diversity in continuous-choice situations, demonstrating that optimal price discrimination can boost a firm's profit by at least 5.5% compared to linear pricing.

22 Feb 202343 shares1 citation todaySource ↗

Risk Evaluation and Robust Optimization with Model Aggregation

The model aggregation (MA) approach is a new method for risk evaluation that provides a robust value and distributional model, refining Value-at-Risk and Expected Shortfall characterizations.

17 Jan 202233 shares16 citations todaySource ↗

Deep Reinforcement Learning for Portfolio Management Enhancement

A reinforcement learning framework for portfolio management is introduced, allowing for continuous asset weights, short selling, and decision-making, with three reinforcement learning algorithms compared for effectiveness.

26 Nov 201933 shares7 citations todaySource ↗

Option Valuation on a Credit Index using Levy-driven Ornstein-Uhlenbeck Process

A Levy-driven Ornstein-Uhlenbeck process is proposed to model the risk-free rate and default intensities for evaluating option contracts on a credit index, with derived formulas and numerical experiments conducted.

12 Jan 202327 sharesSource ↗

TabR: Tabular DL Meets Nearest Neighbors

Tabular DL Meets Nearest Neighbors: TabR, a new deep learning model for tabular data, outperforms existing models by using a k-Nearest-Neighbors-like component for better predictions.

26 Jul 202368 shares117 citations todaySource ↗

Online Estimation & Community Detection of Network Point Processes

The research introduces a fast online variational inference algorithm for estimating latent structure in dynamic event arrivals on a network, offering comparable performance to non-online variants with computational benefits.

3 Sep 202019 shares4 citations todaySource ↗

VolGAN: Realistic Volatility Surfaces

Realistic Volatility Surfaces: VolGAN, a new model that can generate realistic scenarios for the joint dynamics of implied volatility surfaces and underlying assets, is introduced.

30 Oct 2023173 sharesSource ↗

Machine Learning for Earnings Forecasts

Using machine learning models and comprehensive Compustat financial statement data for earnings forecasting can yield predictions that are up to 13% more accurate than traditional linear approaches.

31 Oct 20237 shares2 citations todaySource ↗

Smart Beta ETFs & Increased Flow Sensitivity to Multi-Factor Alphas

Smart beta ETFs trading activity significantly impacts mutual fund flow sensitivity, especially in funds with high nonmarket risk factor exposure.

1 Nov 20232 sharesSource ↗

Google Trends Credit Interest Analysis

The paper discusses the use of Google Trends for analyzing credit interest in Armenia, eliminating the need for traditional surveys by gathering online search data.

31 Oct 20232 sharesSource ↗

Projected Fuzzy C-Means Algorithm

The article proposes a new algorithm for high-dimensional data clustering in machine learning, aiming to improve performance and manage anomalous instances.

31 Oct 20232 sharesSource ↗

KMeans Initialization

The article highlights the role of clustering in data mining and machine learning, focusing on the Kmeans algorithm and the challenge of selecting optimal cluster centroids.

28 Oct 20232 sharesSource ↗

The Common Factor in Volatility Risk Premia

Firm-level volatility risk premium has a strong factor structure, with stocks with the weakest exposures to the common bad volatility risk premium factor earning higher average returns, and the common factor in total bad volatility risk premium predicting stock market returns.

31 Oct 20233 sharesSource ↗

Batch-Stochastic Sub-Gradient Method for Non-Smooth Loss Functions

The new machine learning method, Batchstochastic Subgradient, offers stable loss value estimates and is more memory efficient, as demonstrated using SQL.

21 Oct 20232 sharesSource ↗

US. Treasuries: Liquidity Premiums and Results

Liquidity Premiums and Results: A new model of U.S. Treasuries suggests that liquidity factors are more significant than others, Federal Reserve asset purchases impact expected rates and term premiums, and inflation expectations are less stable than previously thought.

6 May 20222 sharesSource ↗

Global Uncertainties and Emerging Market Sectors

A study finds a significant link between global financial uncertainties and emerging market sectoral indices, based on data from 2008 to 2021.

17 Jul 20232 sharesSource ↗

Efficient Heston Model for Climate Contracts

A proposal suggests using Bitcoin-denominated derivatives contracts on carbon bonds to help governments hedge against climate change and influence carbon bond and cryptocurrency prices.

31 Oct 20233 sharesSource ↗

Private Equity Investment & Liquidity Shocks

Private equity investment outcomes can be influenced by investor composition, with funds from property and casualty insurers investing less during natural disasters, resulting in lower returns.

27 Oct 20233 sharesSource ↗

Green Derivatives & Climate Risk

The EU Green Deal aims to make Europe carbon-neutral by 2050, requiring 1 trillion euro in sustainable investments, with derivatives markets and 'green derivatives' crucial for managing climate risk.

27 Oct 20234 shares1 citation todaySource ↗

Time & Frequency Analysis of Oil Futures Market

A study of the oil futures market from 1986 to 2020 reveals patterns and relationships between inventory, basis, hedging pressure, and futures risk premium, emphasizing the importance of the data measurement period.

30 Oct 20234 sharesSource ↗

Art as an Alternative Asset for Diversification

Art and collectibles can act as alternative assets for portfolio diversification, with art performing well compared to standard investments and showing a unique seasonal pattern in returns.

30 Oct 20234 shares1 citation todaySource ↗

Indian Mutual Funds Performance Analysis

The study examines the performance and risk characteristics of Indian mutual funds across market capitalization groups, offering insights for investors and financial professionals.

27 Oct 20232 sharesSource ↗

Algorithmic Trading's Influence on Human-Only Markets

The potential existence of algorithmic trading can impact human price predictions, trading activities, and price dynamics in human-only asset markets, even if no actual algorithmic trading is present.

17 Jul 20233 shares2 citations todaySource ↗

Bond Funds and Liquidity Provision

Changes in regulations have moved profits from liquidity provision in the corporate bond market to mutual funds, increasing volatility and vulnerability to market disruptions like the COVID-19 pandemic.

23 Oct 202323 sharesSource ↗

ETFs and Market Efficiency

Capital constraints on intermediaries can affect the pricing efficiency of assets they manage, as seen in ETFs and their lead market makers during the COVID-19 debt market disruptions.

30 Mar 2022369 sharesSource ↗

ETF Closures: Inaction for Investors?

Inaction for Investors?: Research indicates smaller ExchangeTraded Funds (ETFs) often yield higher daily returns and typically close after positive returns. Investors usually fare better by not reacting to closure announcements.

23 Jan 202360 sharesSource ↗

Investor Returns: Market-Based Statistics

Market-Based Statistics: The study presents three market-based approximations of actual return from market trades, which deviate from traditional evaluations based on time series analysis of investors' returns.

11 Apr 202325 sharesSource ↗

Cost of Capital: Cross-Sectional Analysis

Cross-Sectional Analysis: Research spanning 20 years across multiple countries shows that most variations in perceived capital cost are not supported by subsequent returns, questioning the production-based asset pricing model.

11 Dec 20202 sharesSource ↗

Equity and Credit Index Options: Risk & Return Analysis

Risk & Return Analysis: A new credit risk model accurately prices equity and credit index options, contradicting previous claims of inconsistent pricing, and highlights the need to balance three systematic risk sources.

14 Jul 20212 sharesSource ↗

Levered ETF Rebalancing: Market Volatility Impact

Market Volatility Impact: The study reveals that the interaction between investor behavior, ETFs fund flows, and index return autocorrelation can either temper or intensify market volatility, as observed during the COVID-19 pandemic onset.

8 Apr 20222 sharesSource ↗

Explainable AI Reveals Bond Excess Return Determinants

The SHapley Additive exPlanations technique is used in a paper to identify key factors influencing bond excess return predictions made by machine learning models.

2 Nov 202321 sharesSource ↗

Forecasting volatility with machine learning: Panel data perspective

Panel data perspective: The study uses machine learning to predict volatility in high-frequency data, with panel-data-based methods proving most effective.

2 Nov 202345 sharesSource ↗

Cross-market info & stock market volatility prediction

A study reveals that cross-market information greatly impacts the volatility of the Chinese stock market, especially in medium and long-term forecasts.

2 Nov 202318 sharesSource ↗

Intraday profitability and trading behavior in algorithmic trading: Profitability and behavior in algorithmic trading.

Profitability and behavior in algorithmic trading.: The study examines the intraday profitability and interactions among traders, revealing that algorithmic traders profit while non-algorithmic traders lose, with market volatility causing contrasting trading behaviors.

2 Nov 202329 sharesSource ↗

Dynamic bond portfolio optimization with a stochastic interest rate model: Bond portfolio optimization with stochastic interest rate model.

Bond portfolio optimization with stochastic interest rate model.: The paper introduces a new framework for multi-period dynamic bond portfolio optimization, showing that multi-period optimization outperforms single-period optimization, particularly over extended investment and utilization periods.

2 Nov 202326 sharesSource ↗

Multiperiod portfolio allocation with volatility clustering and non-normalities: Portfolio allocation with volatility clustering and non-normalities.

Portfolio allocation with volatility clustering and non-normalities.: The research investigates the dynamic multiperiod portfolio choices of a U.S. stock market investor, discovering that considering volatility clustering decreases hedging demands and non-normalities slightly affect allocations.

2 Nov 202323 sharesSource ↗

Performance of U.S. ESG ETFs

A study finds that ESG equity ETFs in the U.S. generally outperform the S&P 500 Index, challenging the notion that ESG investing compromises financial returns.

2 Nov 202315 sharesSource ↗

High-Dimensional Portfolio Optimization with Tree-Structured Factors

A new portfolio optimization method using a tree-structured portfolio sorting technique predicts stock returns and risk exposures, outperforming benchmark strategies in the Chinese A-share market.

2 Nov 202315 sharesSource ↗

Volatility Smile in Emerging Markets: Dynamic Approach

Dynamic Approach: A study shows the Dynamic Nelson-Siegel model is more effective than static models for predicting volatility in options markets.

2 Nov 202323 sharesSource ↗

Bond-Commodity Volatility Spillover & Global Liquidity Risk

Research reveals significant volatility spillovers between gold and bond markets, and oil and some bond markets, suggesting limited diversification benefits for investors.

2 Nov 202320 sharesSource ↗

fBetas & Portfolio Optimization with f-Divergence Risk Measures

A new f-Beta for portfolio optimization, which assesses portfolio performance under an optimally disturbed market probability measure, offers flexibility and interpretability.

2 Nov 202318 sharesSource ↗

Performance of Actively Managed ETFs

A study from 2018-2021 reveals that actively managed Exchange Traded Funds (ETFs) in the U.S. did not yield significant above-market returns, indicating managers lacked superior market timing skills.

23 Dec 202218 sharesSource ↗

Natural Language Graphs

ChatGPT, a large-scale pretrained language model, has significantly advanced various fields of artificial intelligence research.

1 Nov 2023117 shares

Tuning Graph Instructions for Language Models

GraphGPT uses a graph instruction tuning paradigm to align large language models with graph structural knowledge.

30 Oct 202392 shares

Graph-based Tools for Language Model Augmentation

ControlLLM is a new framework that enables large language models to use multimodal tools to tackle complex real-world tasks.

31 Oct 202345 shares

FinGAN for Financial Time Series -> FinGAN for Time Series

This article shares the code related to the FinGAN paper, which uses Generative Adversarial Networks for financial time series forecasting and classification.

26 Oct 202316 shares

Easy Data Loading with DLT -> Data Loading with DLT

The article presents 'data load tool dlt', a Python library that simplifies data loading.

26 Jan 2022669 shares

SolidGPT: Code Collaboration

Code Collaboration: The article explores a platform that facilitates interaction with your code repository and discussion of coding needs.

8 Aug 20231,369 shares

Scariest Options Strategies Revealed

The Options Insider Media Group talks about the current market situation, the forthcoming earnings season, and the five most daunting options strategies.

1 Nov 20238 shares

Macro Volatility and Recession Risks with Boris Vladimirov

Goldman Sachs' Boris discusses fiscal policy's impact on growth, private sector rate sensitivity changes, and recession odds in a podcast.

27 Oct 20234 shares

Corey Hoffstein on Bitcoin ETF and TBill Discussion

Corey Hoffstein and Meb discuss Bitcoin ETF, BlackRock's TargetDate ETFs, and the end of the 60/40 strategy on a radio show.

1 Nov 20233 shares

Efficient Use of Graphs with LLMs in GraphText

In a podcast, Jianan Zhao, a Computer Science student, talks about the efficient use of graphs with LLMs.

31 Oct 20232 shares

In-depth Conversation with Traderade Cofounder on MH Ep.

Kevin and Traderade Cofounder Horselover Fat discuss trading setups, Traderade's origins, and experiences in the trading industry.

31 Oct 20231 shares

Insights on FOMC Meeting: The Financial Conditions Dummy

The Financial Conditions Dummy: Neil Azous from Rareview Capital predicts no further policy tightening ahead of the November FOMC meeting.

31 Oct 20231 shares

Discovering Supply Chain Edges with Graph Neural Networks

Achintya Gopal from Bloomberg uses graph neural networks to predict unknown suppliers and customers, improving supply chain risk analysis.

1 Nov 20239 shares

Where Did All the Quants Go?

A LinkedIn comment criticizes quant programs for lacking intuition and rigor, stressing the need for continuous learning and understanding of financial market logic and mathematics.

29 Oct 202352 shares

Total Return vs. Derivative Income in Covered Call Strategies

Israelov and Ndong's paper discusses the inverse relationship between expected total return and derivative income in covered call strategies.

29 Oct 20233 shares

Decoding the Volatility Puzzle

Swedroe's article investigates the idiosyncratic volatility puzzle by studying the fundamental aspects.

28 Oct 20232 shares

SciPhi ΨΦ: Custom Data Generation with LLMs

Custom Data Generation with LLMs: The article introduces SciPhi ΨΦ, a system for creating synthetic data to meet specific requirements using LLM-based OpenAI Anthropic Llama.

28 Oct 20232 shares

MS Report on Wealth Management and Generative AI Tipping Point

The report by OliverWynan and MS explores the convergence of wealth and asset management and the critical point of generative AI.

27 Oct 20232 shares

Langchain Extensions for Coordinated Computation

The article presents Permchain and Langchain extensions, tools that enable multiple agents to coordinate over several computation steps using LangChain Expression Language and Pregel.

30 Oct 20230 shares

Large Language Model Inferences on Stock Factors

A new study has been released discussing the implications of Large Language Model on different stock factors.

27 Oct 20230 shares

China LLM with Advanced Question Answering Abilities

DISCFinLLM is a novel Chinese financial LLM that features multiturn question answering, text processing, mathematical computation, and enhanced retrieval generation.

30 Oct 20230 shares

Abductive Reasoning in Financial Language Model Building

A new financial LLM that uses abductive reasoning surpasses standard financial LLMs, setting new high scores in financial analysis and interpretation tasks.

30 Oct 20230 shares

Python and R Time Series Library

Pytimetk is a high-performance timeseries library, compatible with Python and R, that utilizes Polaris dataframes for simplicity.

30 Oct 20230 shares

Two Sigma Hedge Fund Scandal

29 Oct 2023230 shares

Famous Quants in History

28 Oct 2023117 shares

Quant Trader in HK or SG

30 Oct 202317 shares

Million Market Experiment Loss

30 Oct 2023114 shares