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This study examines the spillover and connectedness network among the United States and the Association of Southeast Asian Nations (ASEAN)+6 stock market returns during times of uncertainty in the world economy, such as the COVID-19 pandemic and the conflict between Russia and Ukraine. The...
Persistent link: https://www.econbiz.de/10015071478
This paper investigates the conditional correlations and volatility spillovers between crude oil returns and stock … empirical results from the VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility spillovers between the …
Persistent link: https://www.econbiz.de/10013149274
The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …
Persistent link: https://www.econbiz.de/10013149486
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10013091156
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10009535531
In this paper we develop a general framework to analyze state space models with time-varying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...
Persistent link: https://www.econbiz.de/10012842441
In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...
Persistent link: https://www.econbiz.de/10012156426
In this paper, an attempt has been made to model the volatility of NIFTY index of National Stock Exchange (NSE) and … comprises 3736 data points for the analysis by using Box-Jenkins or ARIMA model. The volatility in the Indian stock market … suggested by Hannan-Rissanen. As per the analysis, ARIMA (1,0,1) model was found to be the best fit to forecast the volatility …
Persistent link: https://www.econbiz.de/10013001574
Asymmetric volatility in equity markets has been widely documented in finance, where two competing explanations, as … considered in Bekaert and Wu (2000), are the financial leverage and the volatility feedback hypothesis. We explicitly test for … September 2008. To this aim, we examine asymmetric volatility based on a novel model of market returns, implied market …
Persistent link: https://www.econbiz.de/10013039137
We propose a new class of conditional heteroskedasticity in the volatility (CH-V) models which allows for time …-varying volatility of volatility in the volatility of asset returns. This class nests a variety of GARCH-type models and the SHARV model … of Ding (2021b). CH-V models can be seen as a special case of the stochastic volatility of volatility model. We then …
Persistent link: https://www.econbiz.de/10013214647