Genomic Data Analysis for Predicting Market Volatility


Article type :

1

Author :

Basharat Qureshi,Bushra Jamil

Volume :

1

Issue :

2

Abstract :

Abstract This article explores the novel application of genomic data analysis techniques in predicting market volatility. Leveraging the vast and intricate information embedded in the human genome, this research investigates the potential correlations between genetic markers and financial market fluctuations. By integrating cutting-edge bioinformatics tools with quantitative finance models, we aim to shed light on the previously unexplored relationship between genetics and market volatility. The study's findings hold promise for enhancing risk management strategies and refining investment decisions.

Keyword :

Keywords: Genomic data analysis, Market volatility, Genetic markers, Bioinformatics, Quantitative finance, Risk management, Investment decisions, Predictive modeling