Abstract
Using conditional time-varying copula models, we characterize the dependence structure of return comovements of gold and other financial assets (stocks, bonds, real estate and oil) during economic expansion and contraction regimes. We also investigate which key macroeconomic and non-macroeconomic variables significantly impact the asset return comovements using a two stage Markov Switching Stochastic Volatility (MSSV) framework. Our results show that the non-macro variables have significant influence on the return comovements. We find that gold is an inappropriate hedge against interest rate changes for real-estate and oilbased portfolios,while for bond portfolios, gold offers a good hedge against inflation uncertainty. We also provide evidence that the “flight to safety” phenomenon is due to the implied volatility of the stock market, rather than the observed stock market uncertainty. Finally,weforecast the asset return comovements and examine their economic significance. We show that a dynamic MSSV model which includes the macroeconomic and nonmacroeconomic
variables yields superior forecast of future asset return comovements when compared with a multivariate conditional covariance model.
variables yields superior forecast of future asset return comovements when compared with a multivariate conditional covariance model.
Original language | English |
---|---|
Pages (from-to) | 229-242 |
Number of pages | 14 |
Journal | International Review of Financial Analysis |
Volume | 47 |
Early online date | 18 Aug 2016 |
DOIs | |
Publication status | Published - Oct 2016 |
Keywords
- Gold
- Asset return comovements
- Forecasting
- Markov Switching stochastic volatility model
- Dependence structure