An Iridescent Insights of Statistical Interdependencies of Financial Markets

Navigating the ubiquitous non-normality within financial data, this study meticulously unravels the complex, often asymmetric, nature of financial return distributions across diverse asset classes and market conditions. Steering away from traditional Gaussian assumptions, the research sheds light on...

Full description

Saved in:
Bibliographic Details
Main Authors: Choi, Insu, Kim, Woo Chang
Format: Conference Proceeding
Language:English
Subjects:
Big Data
Correlation
Correlation coefficients
Econometrics
Financial Analysis
Measurement
Mutual Information
Navigation
Network analyzers
Oral communication
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Navigating the ubiquitous non-normality within financial data, this study meticulously unravels the complex, often asymmetric, nature of financial return distributions across diverse asset classes and market conditions. Steering away from traditional Gaussian assumptions, the research sheds light on substantial disparities between theoretical frameworks and actual market phenomena by deploying normality testing techniques. Through an amalgamation of statistical, econometric, and network analyses, this research offers integrated insights into financial market dynamics.
ISSN:2375-9356
DOI:10.1109/BigComp60711.2024.00068