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version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model …
Persistent link: https://www.econbiz.de/10003965868
in specific correlation dynamics. A strong implication emerges: during the period under research, and from a different …
Persistent link: https://www.econbiz.de/10010515402
We investigate the relationship between oil prices and stock markets of selected oil importers and oil exporters at the time of the COVID-19 pandemic. We provide evidence in favour of energy contagion, in term of significantly higher correlations between oil and stock markets returns during...
Persistent link: https://www.econbiz.de/10012226706
current correlation being the best single predictor of the future stock market correlation (2) positive impact of the market …
Persistent link: https://www.econbiz.de/10013380503
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009488893
Releases of key macroeconomic indicators are closely watched by financial markets. We investigate the role of expectation dispersion and economic uncertainty for the stock-market reaction to indicator releases. We find that the strength of the financial market response to news decreases with the...
Persistent link: https://www.econbiz.de/10012404549
This paper suggests how to quantify asymmetries in volatility spillovers that emerge due to bad and good volatility …
Persistent link: https://www.econbiz.de/10010509638
The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...
Persistent link: https://www.econbiz.de/10012416151
This paper applies a fractional integration framework to analyse the stochastic behaviour of two Russian stock market volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period 2010-2018. The empirical findings are consistent...
Persistent link: https://www.econbiz.de/10011903723
This paper applies fractional integration and cointegration methods to examine respectively the univariate properties of the four main cryptocurrencies in terms of market capitalization (BTC, ETH, USDT, BNB) and of four US stock market indices (S&P500, NASDAQ, Dow Jones and MSCI for emerging...
Persistent link: https://www.econbiz.de/10013368898