Attention to oil prices and its impact on the oil, gold and stock markets and their covariance

被引:9
作者
Fiszeder, Piotr [1 ,2 ]
Faldzinski, Marcin [1 ,2 ]
Molnar, Peter [1 ,2 ,3 ]
机构
[1] Nicolaus Copernicus Univ Torun, Fac Econ Sci & Management, Torun, Poland
[2] Prague Univ Econ & Business, Fac Finance & Accounting, Prague, Czech Republic
[3] Univ Stavanger, UiS Business Sch, N-4036 Stavanger, Norway
关键词
Volatility; Google searches; Oil; Dynamic conditional correlation; High-low range; Covariance forecasting; VALUE-AT-RISK; FORECASTING VOLATILITY; INVESTOR ATTENTION; INTERNET CONCERN; GARCH MODELS; SEARCH; COMMODITIES; VARIANCE; RANGE;
D O I
10.1016/j.eneco.2023.106643
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies the impact of investor attention to oil prices on returns, volatility, and covariances of three exchange traded funds representing oil, gold, and the stock market. For this purpose, we suggest a new multi-variate volatility model based on open, high, low, and closing prices that incorporates the impact of investor attention on returns, volatility, and covariances. We find that this model, which incorporates Google searches for "oil prices" as an exogeneous variable, outperforms other considered multivariate volatility models, and dem-onstrates that Google searches for "oil prices" can explain and forecast covariances between returns of oil, gold, and the stock market.
引用
收藏
页数:10
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