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The serial dependency of multivariate financial data will often be filtered by considering the residuals of univariate GARCH models adapted to every single series. This is the correct filtering strategy if the multivariate process follows a so-called copula based multivariate dynamic model...
Persistent link: https://www.econbiz.de/10010299747
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …
Persistent link: https://www.econbiz.de/10010325989
Das in Finanzmarktdaten zu beobachtende volatility-clustering impliziert, daß große Renditeschocks bei der Preisbildung die Wahrscheinlichkeit einer hohen zukünftigen Volatilität steigern. Ausgehend von den von Engle (1982) vorgeschlagenen ARCH-Modellen hat sich eine ganze Reihe von...
Persistent link: https://www.econbiz.de/10010296494
portfolio (Bayer, Siemens and Volkswagen). Classical V aR estimation methodology such as exponential moving average (EMA) as …
Persistent link: https://www.econbiz.de/10010274140
The paper proposes two estimation approaches for duration models that are subject to right censored observations and …
Persistent link: https://www.econbiz.de/10010262324
variable x2. To explore interaction effects, so-called interaction terms x1x2 are typically included in estimation …
Persistent link: https://www.econbiz.de/10010265792
using complete data methods. Estimation and inference uses Reiter's (Survey Methodology 2003) formulae. Using Current …
Persistent link: https://www.econbiz.de/10010269337
using complete data methods. Estimation and inference uses Reiter's (Survey Methodology 2003) formulae. Using Current …
Persistent link: https://www.econbiz.de/10010271567
This paper proposes a method to implement maximum likelihood estimation of the dynamic panel data type 2 and 3 tobit …
Persistent link: https://www.econbiz.de/10010276140
This paper introduces a new long memory volatility process, denoted by Adaptive FIGARCH, or A-FIGARCH, which is designed to account for both long memory and structural change in the conditional variance process. Structural change is modeled by allowing the intercept to follow a slowly varying...
Persistent link: https://www.econbiz.de/10010284151