Title:-Leakage-Aware Machine Learning for Global Stock Index Direction and High-Volatility Risk Prediction under Walk-Forward and Crisis-Period Validation Download
Authors:-Aanay Shah/Ajay Goyal

Author’s Details :

1. Aanay Shah

Udgam School For Children, Ahmedabad-380054, Gujarat, India.

2. Ajay Goyal

Institute of Design, Nirma University, Ahmedabad-382481, India.

Date of Publication (ONLINE) :-17-08-2026
Online Publication Certificate No. :- IJCBM/2306

DOI :-10.71037/ijcbm.v2i3.06

How to cite this article:
Shah Aanay/Goyal Ajay, “Leakage-Aware Machine Learning for Global Stock Index Direction and High-Volatility Risk Prediction under Walk-Forward and Crisis-Period Validation” IJCBM, Vol-2, Issue-3, July-Sept., 2026, Page No. :-67-83. URL : https://ijcbm.gyanvividha.com/wp-content/uploads/2026/08/Aanay-Shah-Ajay-Goyal-IJCBM-vol-2-issue-3-July-Sept.-2026-pp-67-83.pdf

Publication Details:

Journal : Indian Journal of Commerce, Business & Management (IJCBM)

ISSN : 3108-057X (Online)

3108-1282 (Print)

Published In : Volume-2 | Issue-3, July-Sept., 2026.

Page Number(s) : 67-83

Publisher Name :

Mrs Anubha Chaudhary | https://ijcbm.gyanvividha.com | E-ISSN 3108-057X | P-ISSN 3108-1282