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Enhanced machine learning methods provide an encouraging alternative to forecast asset prices by extending or generalizing the possible model specifications compared to conventional linear regression methods. Even if enhanced methods of machine learning in the literature often lead to better...
Persistent link: https://www.econbiz.de/10014503903
relationship between the S&P500 Composite Index and the Volatility Index (VIX), but few empirical studies have focused on the …
Persistent link: https://www.econbiz.de/10012611071
This paper examines exchange-rate volatility with GARCH models using monthly exchange-rate return series from 1985:1 to … points. Our results reveal presence of volatility in the three currencies and equally indicate that most of the asymmetric … models rejected the existence of a leverage effect except for models with volatility break. Evaluating the models through …
Persistent link: https://www.econbiz.de/10011482587
This paper examines the effect of foreign exchange news announcements on the volatility of stock returns in Nigeria … volatility equations. The empirical results revealed a positive and significant effect of exchange news announcements on stock … market volatility in Nigeria under symmetric conditional variance. However, there was strong evidence of asymmetric effect …
Persistent link: https://www.econbiz.de/10011994272
This study investigated how stock market volatility responded dynamically to unexpected changes during the COVID-19 … pandemic and the resulting uncertainty in Thailand. Using a multivariate GARCH-BEKK model, the conditional volatility dynamics …, the interlinkages, and the conditional correlations between stock market volatility and the increasing rate of COVID-19 …
Persistent link: https://www.econbiz.de/10014332748
This paper examines the volatility of banks equity weekly returns for six banks (coded B1 to B6) using GARCH models … in Student's t-distribution are adjudged the best volatility models for B2 and B3 respectively. The study recommends that … in modelling stock market volatility, variants of GARCH models and alternative error distribution should be considered …
Persistent link: https://www.econbiz.de/10011961657
This study employs the connectedness measure of Diebold and Yilmaz (2012, 2014) to examine the intensity of connectedness among the Nigerian financial markets for the period January 2000 to December 2018. The study used all shares index, Treasury bill rate and Naira/USD official exchange rate to...
Persistent link: https://www.econbiz.de/10012229211
's subsequent volatility in both spot and futures markets. Financial derivatives, which are not only highly representative of the … futures. The purpose of the paper is to investigate the co-volatility spillovers within and across the U.S. energy and … financial sectors in both spot and futures markets, by using 'generated regressors' and a multivariate conditional volatility …
Persistent link: https://www.econbiz.de/10011996068
the high stock price volatility coupled with high credit spreads in Nigeria. The paper suggests that CoCos could have been …
Persistent link: https://www.econbiz.de/10012229205
In the paper we present the application of risk neutral measure estimation in the analysis of the index WIG20 from Polish stock market. The risk neutral measure is calculated from the process of the options on that index. We assume that risk neutral measure is the mixture of lognormal...
Persistent link: https://www.econbiz.de/10011551425