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This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...
Persistent link: https://www.econbiz.de/10010126857
Most banks employ historical simulation for Value-at-Risk (VaR) calculations, where VaR is computed from a lower … Monte Carlo (MC). This paper introduces a methodology that encompasses historical and MC VaR as special cases, which is much … distribution. Stressed VaR is typically computed from an historical sample using the Duffie-Pan methodology, whereby the sample is …
Persistent link: https://www.econbiz.de/10013107116
This paper provides some test cases, called circuits, for the evaluation of Gaussian likelihood maximization algorithms of the cointegrated vector autoregressive model. Both I(1) and I(2) models are considered. The performance of algorithms is compared first in terms of effectiveness, defined as...
Persistent link: https://www.econbiz.de/10011781891
Persistent link: https://www.econbiz.de/10010414842
multivariate intraday trading process of return volatility, volume and trading intensity by a VAR model that is augmentedby a joint …
Persistent link: https://www.econbiz.de/10005750002
Persistent link: https://www.econbiz.de/10001699738
In the applications of identified VAR models, finite-sample properties are not obvious to obtain when identifying …
Persistent link: https://www.econbiz.de/10014048605
Many economic applications call for simultaneous equations VAR modeling. We show that the existing importance sampler … and recursive VAR models with a much broader range of linear restrictions than those in the existing literature. We show …
Persistent link: https://www.econbiz.de/10014048937
The aim of this paper is to complement the MDE-SVAR approach when the weighting matrix is not optimal. In empirical studies, this choice is motivated by stochastic singularity or collinearity problems associated with the covariance matrix of Impulse Response Functions. Consequently, the...
Persistent link: https://www.econbiz.de/10014193921
We consider forecast combination and, indirectly, model selection for VAR models when there is uncertainty about which …
Persistent link: https://www.econbiz.de/10014221496