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We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...
Persistent link: https://www.econbiz.de/10010515402
The aim of this article is to examine how the dynamics of correlations between two emerging countries (Brazil and Mexico) and the US evolved from January 2003 to December 2013. The main contribution of this study is to explore whether the plunging stock market in the US, in the aftermath of...
Persistent link: https://www.econbiz.de/10010490457
In this study, we investigate the relationship between stock market price and crude oil market price using Multivariate GARCH type model. We use daily frequency data of stock price indices S&P500 and NASDAQ composite and the prices of one major Crude Oil products, defined as the US price of West...
Persistent link: https://www.econbiz.de/10012990701
This paper investigates the empirical properties of oil price and Stock market return volatilities using a range of univariate and multivariate GARCH models and monthly data from the U.S. The study relates the period August 1987 to October 2016, a total of 351 observations given. The aim of this...
Persistent link: https://www.econbiz.de/10012977192
The paper investigates the effects of oil price shocks on stock market volatility in Europe by focusing on three measures of volatility, i.e. the conditional, the realised and the implied volatility. The findings suggest that supply-side shocks and oil specific demand shocks do not affect...
Persistent link: https://www.econbiz.de/10013403135
Like no other calamitous event in recent memory, the COVID-19 pandemic has plunged the world’s financial system into disarray, triggering systemic risk spillovers across markets. In this study, we use 5-minute index futures price data to examine the multiscale interdependence structure of...
Persistent link: https://www.econbiz.de/10013447921
Using daily return data from the four major Central and Eastern European stock markets including fourteen highly liquid stocks and ATX (Vienna), PX (Prague), BUX (Budapest), and WIG20 (Warsaw) market indices, we model the value-at-risk using a set of univariate GARCH-type models. Our results...
Persistent link: https://www.econbiz.de/10003755230
Persistent link: https://www.econbiz.de/10011559376
Persistent link: https://www.econbiz.de/10012102423
linear predictability in the most recent period, for small and medium cap stocks. The main findings are not substantially …
Persistent link: https://www.econbiz.de/10010496122