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Forecasting value-at-risk and expected shortfall in large portfolios : a general dynamic factor approach
Hallin, Marc; Trucios, Carlos - 2020
Persistent link: https://www.econbiz.de/10012437084
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Multifractality and long-range dependence of asset returns : the scaling behaviour of the Markov-switching multifractal model with lognormal volatility components
Liu, Ruipeng (contributor); Di Matteo, Tiziana (contributor) - 2008
) with Lognormal volatility components. In order to see how well estimated models capture the temporal dependency of the … sufficiently many volatility components. In comparison with a Binomial MSM specification [7], results are almost identical. This … distribution is very limited. -- Markov-switching multifractal ; scaling ; return volatility …
Persistent link: https://www.econbiz.de/10003715073
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Optimal portfolio management in highly volatile markets
Stoyanov, Stoyan Veselinov - 2005
Persistent link: https://www.econbiz.de/10003346695
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Flexible modeling of conditional distributions using smooth mixtures of asymmetric student T densities
Li, Feng; Villani, Mattias; Kohn, Robert - 2009
Chain Monte Carlo ; Mixture of Experts ; Variable selection ; Volatility modeling …
Persistent link: https://www.econbiz.de/10003896094
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Characterizing dependence in financial series
Chollete, Lorán - 2004
Persistent link: https://www.econbiz.de/10003549398
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Jump tails, extreme dependencies, and the distribution of stock returns
Bollerslev, Tim; Todorov, Viktor - 2010
Persistent link: https://www.econbiz.de/10008659419
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Evaluating density forecasts with an application to stock market returns
Raaij, Gabriela de; Raunig, Burkhard - 2002
Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...
Persistent link: https://www.econbiz.de/10011431370
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A dynamic multivariate heavy-tailed model for time-varying volatilities and correlations
Creal, Drew; Koopman, Siem Jan; Lucas, André - 2010
We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
Persistent link: https://www.econbiz.de/10011380135
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A hybrid joint moment ratio test for financial time series
Groenendijk, Patrick A.; Lucas, André; Vries, Casper G. de - 1998
. The methodology is hybrid because it combines a formaltesting procedure with volatility curve pattern recognition based …
Persistent link: https://www.econbiz.de/10011299968
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Mixed normal conditional heteroskedasticity
Haas, Markus; Mittnik, Stefan; Paolella, Marc S. - 2002
can generate a plausible disaggregation of the conditional variance process, in which the components' volatility dynamics …
Persistent link: https://www.econbiz.de/10009767120