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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
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-GARCH model for volatility and DCC model for correlation to allow for inclusion of indexes that measure financial conditions. In … find that worse financial conditions are associated with both higher volatility and higher correlations between stock … returns, especially during crises. Moreover, including the FCI in volatility and correlation modeling improves Value …
Persistent link: https://www.econbiz.de/10013007323
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
characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …
Persistent link: https://www.econbiz.de/10003636008
In this paper, we present a brief description of multivariate GARCH models. Usually, their parameter estimates are obtained using maximum likelihood methods. Considering new methodological processes to model the volatilities of time series, we need to use another inference approach to get...
Persistent link: https://www.econbiz.de/10013099873
In this paper, we present a brief description of multivariate GARCH models. Usually, their parameter estimates are obtained using maximum likelihood methods. Considering new methodological processes to model the volatilities of time series, we need to use another inference approach to get...
Persistent link: https://www.econbiz.de/10013101092