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Messung des Marktrisikos mit generalisierter autoregressiver bedingter heteroskedastischer Modellierung der Volatilität : ein Vergleich univariater und multivariater Konzepte
Krasnosselski, Nikolai; Cremers, Heinz; Sanddorf, Walter - 2014
The globalisation on financial markets and the development of financial derivatives has increased not only chances but also potential risk within the banking industry. Especially market risk has gained major significance since market price variation of interest rates, stocks or exchange rates...
Persistent link: https://www.econbiz.de/10010237661
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Inference for structural impulse responses in SVAR-GARCH models
Bruder, Stefan - 2018
Conditional heteroskedasticity can be exploited to identify the structural vector autoregressions (SVAR) but the implications for inference on structural impulse responses have not been investigated in detail yet. We consider the conditionally heteroskedastic SVAR-GARCH model and propose a...
Persistent link: https://www.econbiz.de/10011817166
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Validierung von Konzepten zur Messung des Marktrisikos : insbesondere des Value at Risk und des Expected Shortfall
Mehmke, Fabian; Cremers, Heinz; Packham, Natalie - 2012
Market risk management is one of the key factors to success in managing financial institutions. Underestimated risk can have desastrous consequences for individual companies and even whole economies, not least as could be seen during the recent crises. Overestimated risk, on the other side, may...
Persistent link: https://www.econbiz.de/10009575075
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Option-implied term structures
Vogt, Erik - 2014
predictability. …
Persistent link: https://www.econbiz.de/10010459730
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Asymptotic properties of the maximum likelihood estimator of random effects models with serial correlation
Skoglund, Jimmy (contributor); Karlsson, Sune (contributor) - 2001 - [Elektronische Ressource]
This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...
Persistent link: https://www.econbiz.de/10001600056
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Dividend growth predictability and the price-dividend ratio
Piatti, Ilaria; Trojani, Fabio - 2012 - This version: October 2012
Conventional tests of present-value models over-reject the null of no predictability. In order to better account for …-dividend ratios and dividend growth. We find evidence of return predictability, but no apparent evidence of dividend growth … predictability in postwar US data, thus reconciling the diverging conclusions in the literature. Our findings are robust to the …
Persistent link: https://www.econbiz.de/10009684124
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Specification and estimation of random effects models with serial correlation of general form
Skoglund, Jimmy (contributor); Karlsson, Sune (contributor) - 2001 - [Elektronische Ressource]
This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...
Persistent link: https://www.econbiz.de/10001600058
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A simple efficient GMM estimator of GARCH models
Skoglund, Jimmy (contributor) - 2001 - [Elektronische Ressource]
This paper is concerned with efficient GMM estimation and inference in GARCH models. Sufficient conditions for the estimator to be consistent and asymptotically normal are established for the GARCH(1,1) conditional variance process. In addition efficiency results are obtained in the general...
Persistent link: https://www.econbiz.de/10001600059
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Improved inference in financial factor models
Beck, Elliot; De Nard, Gianluca; Wolf, Michael - 2023
Conditional heteroskedasticity of the error terms is a common occurrence in financial factor models, such as the CAPM and Fama-French factor models. This feature necessitates the use of heteroskedasticity consistent (HC) standard errors to make valid inference for regression coefficients. In...
Persistent link: https://www.econbiz.de/10014232090
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A data-driven selection of an appropriate seasonal adjustment approach
Webel, Karsten - 2016
Recent releases of X-13ARIMA-SEATS and JDemetra+ enable their users to choose between the non-parametric X-11 and the parametric ARIMA model-based approach to seasonal adjustment for any given time series without the necessity of switching between different software packages. To ease the...
Persistent link: https://www.econbiz.de/10011452778