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The Relationship Between Gold Prices and Stock Market Performance: Evidence from Emerging Economies

Authors

DR K LAKSHMANA RAO

Lecturer in Commerce – Pithapur Rajah’s Government College (A) Kakinada, Andhra Pradesh-533001, India. (IN)

MADEM KISHORE

Lecturer in Commerce – S.G.A., Government Degree College (A),Yellamanchili, Anakapalli District - Andhra Pradesh (IN)

Dr KANDULA ANJANEYULU

Lecturer in Commerce – Pithapur Rajah’s Government College (A) Kakinada, Andhra Pradesh-533001, India (IN)

DR KATADI HARI KISHAN

Lecturer in Commerce – Pithapur Rajah’s Government College (A) Kakinada, Andhra Pradesh-533001, India (IN)

DR SVGVA PRASAD

Lecturer in Commerce – Pithapur Rajah’s Government College (A) Kakinada, Andhra Pradesh-533001, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.140400018

Subject Category: Finance

Volume/Issue: 14/4 | Page No: 146-150

Publication Timeline

Submitted: 2025-04-30

Published: 2025-05-15

Abstract

Abstract: This study investigates the relationship between gold prices and stock market performance in India and other emerging markets (Brazil, China, South Africa), focusing on gold’s role as a safe-haven asset during economic crises. Employing a mixed-methods approach, we combine quantitative time-series analysis (2000–2025) with qualitative insights from investor surveys. Econometric models, including Vector Autoregression (VAR), Granger Causality tests, and predictive machine learning models, were applied to examine interdependencies between stock market indices (e.g., BSE Sensex, NSE Nifty 50, and international indices) and gold prices. The study also explores the impact of digital gold investments, technological advancements, and macroeconomic factors (interest rates, currency fluctuations, geopolitical events) on traditional gold investment behaviours. Findings confirm gold’s role as a hedge during financial crises (e.g., 2008 global financial crisis, COVID-19 pandemic), though its effectiveness varies across markets and conditions. Predictive models offer practical tools for forecasting gold price movements, benefiting investors and policymakers in volatile markets.

Keywords

Gold Price, Stock Market, Safe-Haven Asset, Digital Gold, Emerging Markets, Predictive Modelling

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References

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