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This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M,...
Persistent link: https://www.econbiz.de/10005407963
over the last 30 years. First, we develop a new structural regime-switching volatility spillover model to decompose total … (negative) effect of the structural factors on country betas (country-specific volatility), especially in Europe, while industry …
Persistent link: https://www.econbiz.de/10005408196
estimation methodologies,including estimation of the conditional correlations using the symmetric and asymmetric DCC …
Persistent link: https://www.econbiz.de/10005413082
stochastic volatility model estimated via the efficient Monte Carlo likelihood technique. A comparison of the different models …
Persistent link: https://www.econbiz.de/10005076972
are employed: a bivariate t-GARCH(1,1) model, two Kalman filter based approaches, a bivariate stochastic volatility model …
Persistent link: https://www.econbiz.de/10005077020
implied market factor and its instantaneous return’s volatility are leptokurtic distributed. Having a proxy for the systematic … the prevailing relationship between the weekly rolling volatility of the return of the implied market factor and weekly …
Persistent link: https://www.econbiz.de/10005561708
This paper investigates the testable restrictions on the time-series behavior of equity premia implied by a representative agent model whose state- and time-non separable preferences are subject to taste shocks. The model nests state- and time-separable preferences with and without taste shocks...
Persistent link: https://www.econbiz.de/10005561766
This paper presents a 2-regime SETAR model where the process under examination is governed by a long-memory process in the first regime and a short-memory process in the second regime. Persistence properties are studied and methods for locating the threshold parameter are proposed. Such a...
Persistent link: https://www.econbiz.de/10005119075
-parametric regression approach to next-day volatility forecasting. A second finding is that the GARCH(1,1) model severely over-estimated the … standard deviation of the sample is 35% while the sample standard deviation estimate is a mere 19%. Over-estimation of the … unconditional variance leads to poor volatility forecasts during the period under discussion with the MSE of GARCH(1,1) 1-year ahead …
Persistent link: https://www.econbiz.de/10005407908
, using a bivariate SWARCH model to show the dependence of the high and low volatility states of the IT.CAC on the NASDAQ-100 …, with no intermediate simultaneous high-low volatility states. …
Persistent link: https://www.econbiz.de/10005556399