Gold Volatility and Trader Psychology: A Longitudinal Behavioral Finance Study

Abstract

This study explores the relationship between gold price volatility and trader psychology over a five-year period (2020–2024) using a longitudinal mixed-method approach grounded in behavioral finance. Gold is traditionally regarded as a safe-haven asset, an inflation hedge, and a store of value. However, the selected period experienced significant volatility driven by global disruptions such as the COVID-19 pandemic, inflationary pressures, economic uncertainty, and geopolitical instability. While conventional financial theories attribute gold price movements to macroeconomic variables—such as inflation, interest rates, exchange rates, and geopolitical risks—these models assume rational investor behavior. This research challenges that assumption by incorporating behavioral factors including risk aversion, herd behavior, anchoring bias, investor sentiment, and trading activity. The study combines secondary gold price data with primary survey responses collected from 100 experienced traders through a structured yes/no questionnaire. A volatility dispersion ratio is calculated using six-month high–low price ranges for each year. Statistical techniques including descriptive analysis, Pearson correlation, regression, and mediation modeling are applied to test five hypotheses. Findings indicate that increased volatility is associated with higher risk aversion, stronger herd tendencies, and greater reliance on past price benchmarks. Investor sentiment emerges as the most influential factor and partially mediates the relationship between volatility and trading behavior. The study proposes a behavioral amplification mechanism, where market uncertainty intensifies emotional responses, influencing trading decisions and further contributing to price instability. This research contributes to behavioral finance, commodity market analysis, and investor psychology by presenting an integrated framework linking price volatility with trader behavior. It also offers practical insights for improving risk awareness and behavioral strategies in trading environments.

Introduction

The text presents a research study examining the impact of gold price volatility on trader psychology between 2020 and 2024. The study focuses on how major economic and geopolitical events—such as the COVID-19 pandemic, inflation, supply chain disruptions, and the Russia–Ukraine conflict—caused significant fluctuations in gold prices and influenced trader behavior. The research adopts a longitudinal mixed-method approach, combining historical gold price data with survey responses from experienced traders to analyze behavioral patterns like risk aversion, herd behavior, anchoring bias, investor sentiment, and trading frequency.

The study identifies a gap in existing research, noting that while many studies examine macroeconomic factors affecting gold prices, fewer explore the connection between long-term volatility and psychological behavior. The research aims to bridge traditional financial theories with behavioral finance by developing a behavioral-volatility framework that explains how market uncertainty shapes trader decisions.

Behavioral finance theories, including Prospect Theory, form the theoretical foundation of the study. Key psychological biases discussed include loss aversion, overconfidence, herd behavior, and anchoring bias. The study argues that investor sentiment acts as a mediator between market volatility and trading behavior, especially in gold markets, which are highly sensitive to fear and uncertainty.

The research methodology follows a structured longitudinal mixed-method design. Gold price trends from 2020–2024 are analyzed alongside survey data collected from 100 experienced traders in Kolhapur city, Maharashtra. The study uses a structured questionnaire to gather data on behavioral responses and applies statistical techniques such as descriptive statistics, correlation analysis, regression modeling, and mediation analysis to examine relationships between volatility and trader psychology.

References

Core Behavioral Finance (Foundation) [1] Amos Tversky, & Daniel Kahneman. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. [2] Daniel Kahneman, & Amos Tversky. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. [3] Werner De Bondt, & Richard Thaler. (1985). Does the stock market overreact? Journal of Finance, 40(3), 793–805. [4] Barberis, N., & Richard Thaler. (2003). A survey of behavioral finance. Handbook of the Economics of Finance, 1, 1053–1128. [5] Robert Shiller. (2000). Irrational exuberance. Princeton University Press. [6] Mohite, M D (Jan/ Feb 2026), ‘Gold Price Volatility and Trader Psychology: A Longitudinal Mixed-Method Behavioral Finance Exploration’, published in “Quest Journal of Research in Business and Management”, ISSN (Online): 2347-3002, Volume-14, Issue-2, Page No.: 84-105. Mahesh Kumar Devendra Mohite , CSIBER. Behavioral Bias & Market Psychology [7] Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). Informational cascades. Journal of Political Economy, 100(5), 992–1026. [8] Barber, B. M., & Odean, T. (2001). Overconfidence and investment. Quarterly Journal of Economics, 116(1), 261–292. [9] Baker, M., & Wurgler, J. (2007). Investor sentiment. Journal of Economic Perspectives, 21(2), 129–152. [10] Tetlock, P. C. (2007). Media and investor sentiment. Journal of Finance, 62(3), 1139–1168. [11] Richard Thaler. (2015). Misbehaving: The making of behavioral economics. W. W. Norton. Adaptive & Market Behavior [12] Andrew Lo. (2004). The adaptive markets hypothesis. Journal of Portfolio Management, 30(5), 15–29. Gold Market & Safe Haven Studies [13] Baur, D. G., & Lucey, B. M. (2010). Gold as hedge or safe haven. Financial Review, 45(2), 217–229. [14] Reboredo, J. C. (2013). Gold and oil relationship. Resources Policy, 38(2), 130–137. [15] Wang, Y., & Chueh, Y. (2013). Gold-stock interaction. Economic Modelling, 30, 107–113. [16] Bouri, E., et al. (2018). Investor sentiment and gold returns. Journal of Behavioral and Experimental Finance, 20, 45–55. [17] Smales, L. A. (2020). Gold as safe haven during crisis. Finance Research Letters, 35, 101–108. [18] Shahzad, S. J. H., et al. (2021). Safe-haven behavior of gold. Resources Policy, 72, 102–115. Supporting Behavioral & Applied Works [19] Pompian, M. M. (2011). Behavioral finance and wealth management. Wiley. [20] Statman, M. (2014). Behavioral finance: Finance with normal people. Borsa Istanbul Review, 14(2), 65–73. Data Sources (Essential) [21] MacroTrends. (n.d.). Gold price historical data. Retrieved March 6, 2026. [22] StatMuse Money. (n.d.). Gold price history (2019–2024). Retrieved March 6, 2026.

Copyright

Copyright © 2026 Maheshkumar Devendra Mohite. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.