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In der Literatur wurden verschiedene parametrische Modelle zur Analyse der Heteroskedastie in Zeitreihen von Finanzmarktdaten entwickelt. Eine Möglichkeit, die bedingte Volatilität nichtparametrisch zu erfassen, ist die Kernschätzung von bedingten Quantilen. In diesem Aufsatz werden einige...
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A growing body of literature argues that the financial cycle is considerably longer in duration and larger in amplitude than the business cycle and that its distinguishing features became more pronounced over time. This paper proposes an empirical approach suitable to test these hypotheses. We...
Persistent link: https://www.econbiz.de/10011299043
I construct an estimable statistic that predicts whether a financial innovation will spread. The approach embeds the multi-host SIR model from epidemiology within a financial model of correlated securities trade; and takes advantage of the related predictive tools from mathematical epidemiology,...
Persistent link: https://www.econbiz.de/10010202945
In this paper we analyze a multivariate non-stationary regression model empirically. With the knowledge about unconditional heteroscedasticty of financial returns, based on univariate studies and a congruent paradigm in Gürtler and Rauh (2009), we test for a time-varying covariance structure...
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out ML-estimation of SV models as well as simulation smoothing where the latent volatilities are sampled at once. Based on … this EIS simulation smoother a Bayesian Markov Chain Monte Carlo (MCMC) posterior analysis of the parameters of SV models …
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fundamental statistical concepts of point process theory, we review duration-based and intensity-based models of financial point …
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