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We examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a horizon of ten trading days for a well-diversified portfolio of stocks, bonds and alternative investments. The VaR forecasts are constructed based on daily, weekly or biweekly...
Persistent link: https://www.econbiz.de/10011431503
Expected Shortfall, for a given volatility model. We obtain precise forecasts of the tail of the distribution of returns not …
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forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures …
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Persistent link: https://www.econbiz.de/10009767001
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The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the … definite. Using this approach we can disentangle the estimates of the integrated co-volatility matrix and jump variations from … the co-jumps of two assets have a significant impact on future co-volatility, but that the impact is negligible for …
Persistent link: https://www.econbiz.de/10010477100
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10010391531
. Our results apply to stationary and ergodic time series. In a simulation study we show that our asymptotic theory provides …
Persistent link: https://www.econbiz.de/10011622915
We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...
Persistent link: https://www.econbiz.de/10012416341