Showing 1 - 10 of 10,201
The study concentrates on an analysis of the Czech stock market performed by an application of DCC MV GARCH model of Engle (2002). Data sample including years from 1994 to 2009 is represented by daily returns of Prague Stock Exchange index and other 11 major stock indices. There is found an...
Persistent link: https://www.econbiz.de/10008655628
value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by … Muneer & Maheswaran (2018b). We show that the robust volatility ratio is unbiased both in the population as well as in finite … samples. We empirically test the robust volatility ratio on 9 global stock indices from America, Asia Pacific and EMEA markets …
Persistent link: https://www.econbiz.de/10012023869
This paper investigates volatility spillovers across 16 stock markets of both advanced and emerging economies using the … spillover index methodology put forward by Diebold and Yilmaz (2012). Realised volatility as defined by Andersen et al (2003 … based on the volatility estimators put forward by Garman and Klass (1980), Parkinson (1980) and the univariate GARCH …
Persistent link: https://www.econbiz.de/10013047334
for forecasting the volatility of both the TASI and the TIPISI in the context of petrochemical industries, as this model … outperforms the other models in model estimation and daily out-of-sample volatility forecasting of the two indices. This study is …
Persistent link: https://www.econbiz.de/10011960525
Persistent link: https://www.econbiz.de/10014433687
Cointegration has frequently been used in the financial econometrics literature to assess the degree of interdependence of financial markets. We show that if individual stock prices are generated by random walks with possibly contemporaneously correlated innovations, the resulting indices cannot...
Persistent link: https://www.econbiz.de/10013008752
The purpose of the empirical research study is to analyze the volatility of OMX Tallinn Index in Estonia from 2002 to … Model for each phases of OMX Tallinn Index in Estonia from 2002 to 2022 that could grasp not only the volatility but also … asymmetric volatility caused by various important events for each particular period. The total sample size is 6,032 i.e. 3 phases …
Persistent link: https://www.econbiz.de/10014353991
Accords in that the jump component of the volatility process does not need to be treated separately for the purpose of stress …
Persistent link: https://www.econbiz.de/10013078483
forecasting the volatility of Tehran stock market in some horizon of forecasting. This paper provides an analysis of regime … switching in volatility and out-of-sample forecasting of the IRAN using daily data for the period 1995-2011. We first model … volatility regime switching within a univariate Markov-Switching framework. Then We provide out-of-sample forecasts of the TEHRAN …
Persistent link: https://www.econbiz.de/10013112200
study we investigate the mean-volatility spillover effects that happen across international stock markets. The study, by … taking into consideration the stock market returns based on various indices, investigates the mean-volatility spillover … precise and separate measures of return spillovers and volatility spillovers. The analysis provides the evidence of strong …
Persistent link: https://www.econbiz.de/10011872506