Latest Articles for Market Analysis

This paper outlines methods to detect no-arbitrage violations in financial markets.

A straightforward look at how volatility affects investment decisions.

Examining new strategies for managing risks in credit index options using Reinforcement Learning.

This paper discusses using advanced algorithms to enhance trade execution strategies.

Deep learning transforms financial trading strategies through advanced sentiment analysis.

Analyzing stock return predictability amid changing economic conditions.

A deep dive into cryptocurrency behavior and its ties to financial markets.

Learn how convexity adjustment affects interest rate pricing.

A method to assess asset performance beyond market expectations.

An analysis of consumer behavior with indivisible goods and their impacts on demand.

A new method combines human insights and AI for better trading signals.

Assessing ChatGPT's impact on market sentiment in forex trading.

A new method to determine prices in dynamic economic environments.

A new model enhances interest rate predictions using three interrelated factors.

Learn how to assess cryptocurrency risks for better investment choices.

Research improves calculations in continuous-time Markov models for finance.

Revolutionizing investment strategies with a combined model for better returns.

An analysis of the WallStreetBets community and its impact on asset prices.

Examining risks and methodologies for valuing vulnerable derivatives in today's markets.

Combining machine learning and options for better investment strategies.

A look at how the pandemic affected airline stock prices.

This article discusses a novel generative AI approach for modeling order flow in financial markets.

How managerial responses in earnings calls affect stock prices.

New measures provide insights into financial asset behavior during market stress.

This study examines using Big Bird for identifying native languages via writing.

Learn how implied volatility shapes trading strategies and market behavior.

Explore continuous volatility modeling and its role in financial markets.

The -Cell model merges traditional and machine learning techniques for predicting volatility.

Exploring how risk and performance measures adapt over time.

Learn how traders use statistical arbitrage for profit.

A study on robust finance and pricing in uncertain markets.

This article presents a new method for predicting stock returns based on various factors.

This study presents a new model for predicting the VIX index using historical data.

Learn how position sizing helps manage risk in volatile markets.

A new approach to understanding price movements in stocks and cryptocurrencies.

New methods improve understanding of cause and effect in online markets.

Improving asset return predictability through advanced testing methods.

Learn how to design effective trade mechanisms for small market participants.

Using deep learning for better basket option pricing accuracy.

This study examines how sentiment analysis biases affect stock trading decisions.