Speculation, Cross-Market Sentiment and the Predictability of Gold Market Volatility

Zibo Niu, Riza Demirer, Muhammad Tahir Suleman and Hongwei Zhang

Journal of Behavioral Finance, 2024, vol. 25, issue 3, 278-295

Abstract: This paper explores the predictive role of speculative sentiment on gold market volatility and its economic implications. Utilizing high frequency data for gold futures and speculative sentiment proxies for the gold and stock markets, we show that incorporating speculative sentiment in volatility models can improve volatility forecasts both in- and out-of-sample. While gold market sentiment helps improve the predictive accuracy of volatility models primarily in the short run, we show that cross-market speculative sentiment from the stock market has predictive ability at relatively longer forecast horizons. More importantly, incorporating speculative sentiment proxies in volatility models yields improved cumulative returns as well as Sharpe ratios for investors who allocate part of their portfolios in this traditional safe haven asset. Finally, examining the predictability of asymmetric risk patterns, we show that speculative sentiment in the gold market matters relatively more for good volatility forecasts and in the short and intermediate forecast horizons, while cross-market sentiment effect from the stock market generally applies to longer term forecasts for both the good and bad volatility metrics. Overall, our findings show that speculative sentiment contains significant incremental information over subsequent volatility patterns in gold, offering sizeable economic gains for a mean-variance investor in a practical investment setting.

Date: 2024
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DOI: 10.1080/15427560.2022.2109639

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