Hedging market risk using gold: A wavelet quintile correlation approach

  • Melan Sinaga Fakultas Ekonomi dan Bisnis, Universitas Budi Luhur, Jakarta, Indonesia
  • Agoestina Mappadang Fakultas Ekonomi dan Bisnis, Universitas Budi Luhur, Jakarta, Indonesia
  • Bayu Adi Nugroho Independent Researcher, Jakarta, Indonesia

Keywords: Gold, Hedging, Quintile, Wavelet

Abstract

This research assesses gold's hedging and haven qualities against stock market fluctuations. This study uses the daily returns of three exchange-traded funds that best reflect the gold market and the stock markets of developed and emerging economies: iShares MSCI World (URTH), SPDR Gold (GLD), and SPDR S&P Emerging Markets (EDIV). The data set spans January 13, 2012, to December 29, 2023. For analytical purposes, this study estimates the dynamic correlation from the DCC-GARCH model and the newly constructed wavelet quantile correlations (WQC). According to WQC, gold has consistently been a short- and long-term haven for emerging markets during the COVID-19 pandemic and the Russia-Ukraine conflict. However, gold only shows the long-term safe-haven status for the developed markets. Further, this study shows that gold and stock correlations, both short- and long-term, do change with time. Lastly, this research suggests trading strategies based on a constant proportion approach.

Public interest statements

This study is useful for people to understand hedging methods and trading strategies for gold products

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Published
2024-12-16
How to Cite
Sinaga, M., Mappadang, A., & Nugroho, B. A. (2024). Hedging market risk using gold: A wavelet quintile correlation approach. AKURASI: Jurnal Riset Akuntansi Dan Keuangan, 6(3), 353-366. https://doi.org/10.36407/akurasi.v6i3.1459
Section
Research Articles