The paper develops two Dynamic Conditional Correlation (DCC) models, namely the Wishart DCC (WDCC) model and the Matrix-Exponential Conditional Correlation (MECC) model. The paper applies the WDCC approach to the exponential GARCH (EGARCH) and GJR models to propose asymmetric DCC models. We use the standardized multivariate t-distribution to accommodate heavy-tailed errors. The paper presents a...

The paper develops two Dynamic Conditional Correlation (DCC) models, namely the Wishart DCC (WDCC) model and the Matrix-Exponential Conditional Correlation (MECC) model. The paper applies the WDCC approach to the exponential GARCH (EGARCH) and GJR models to propose asymmetric DCC models. We use the standardized multivariate t-distribution to accommodate heavy-tailed errors. The paper presents a...

Motivated by recent developments in light of the sub-prime and subsequent financial crisis we fit two different vector autoregressive generalized conditional heteroscedastic (VAR-GARCH) models to three financial indices with the aim of understanding the development of dependency structures between credit spreads and other macroeconomic variables. Our analysis includes daily quotes from June 200...

This paper investigates the extent of volatility or risk spillovers between currency carry trade and asset markets, namely equity bond in South Africa to infer connectivity two markets. The operation examined this involves strategies, both which use African rand as investment currency, with U.S. dollar Japanese yen funding currencies. vector autoregressive BEKK-Generalised Autoregressive Condit...

Forecasting Value-at-Risk (VaR) for financial portfolios is a staggering task in financial risk management. The turmoil in financial markets as observed since September 2008 called for more complex VaR models, as ”standard” VaR approaches failed to anticipate the collective market movements faced during the financial crisis. Hence, recent research on portfolio management mainly focussed on mode...

This study investigates the intraday price and volatility spillover effect between the Japanese market and the Korean market, using a VAR-asymmetric BEKK GARCH model. In particular, the study considers three high-frequency (10-min, 30-min, and 1-hour) intraday datasets of TOPIX and KOSPI200 markets. The empirical results indicate a bi-directional price spillover effect in the 10-min intervals, ...

Our research explores how the COVID-19 pandemic has influenced asymmetric spillover effects in oil and gold markets. Through a VAR(p)-BEKK-AGARCH(1,1) model fitted to daily price data, 1) we find evidence of only from market that this effect is stronger during 2) conclude negative information shock larger impact on return volatility compared positive intensified pandemic.

return and volatility spillovers are important for portfolio selection, asset valuation and market efficiency investigation. using a var-bekk framework model, this paper investigates return and volatility spillover effects between three size-sorted equity indices in tehran stock exchange (tse). although daily return of large stocks leads small stocks (lead-lag effect), there wasn’t any spillove...

China’s introduction of CSI300 futures in 2010 has aroused widespread attention to whether the stock index futures market has effectively stabilized price fluctuations of its spot market in the past four years. Since the prices of CSI300 futures and CSI300 contain numerous noises and fluctuate drastically over time, this paper applies discrete wavelet transform to denoise these series by decomp...