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An efficient and accurate approach is proposed for forecasting Value at Risk [VaR] and Expected Shortfall [ES] measures in a Bayesian framework. This consists of a new adaptive importance sampling method for Quantile Estimation via Rapid Mixture of <I>t</I> approximations [QERMit]. As a first step the...</i>
Persistent link: https://www.econbiz.de/10005144532
This discussion paper resulted in a publication in the <I>International Journal of Forecasting</I> (2010). Vol. 26(2), 231-247.<P> An efficient and accurate approach is proposed for forecasting Value at Risk [VaR] and Expected Shortfall [ES] measures in a Bayesian framework. This consists of a new...</p></i>
Persistent link: https://www.econbiz.de/10011256664
Quadratic optimization for asset portfolios often leads to error maximization, with optimizers zooming in on large errors in the predicted inputs, that is, expected returns and risks. The consequence in most cases is a poor real-time performance. In this paper we show how to improve real-time...
Persistent link: https://www.econbiz.de/10005504908
Several Bayesian model combination schemes, including some novel approaches that simultaneously allow for parameter uncertainty, model uncertainty and robust time varying model weights, are compared in terms of forecast accuracy and economic gains using financial and macroeconomic time series....
Persistent link: https://www.econbiz.de/10004964452
Several Bayesian model combination schemes, including some novel approaches that simultaneously allow for parameter uncertainty, model uncertainty and robust time varying model weights, are compared in terms of forecast accuracy and economic gains using financial and macroeconomic time series....
Persistent link: https://www.econbiz.de/10011256933
Quadratic optimization for asset portfolios often leads to error maximization, with optimizers zooming in on large errors in the predicted inputs, that is, expected returns and risks. The consequence in most cases is a poor real-time performance. In this paper we show how to improve real-time...
Persistent link: https://www.econbiz.de/10011257558
We value rating-triggered step-up bonds with three methods: (i) the Jarrow, Lando andTurnbull (1997, JLT) framework, (ii) a similar framework using historical probabilities and(iii) as plain vanilla bonds. We find that the market seems to value single step-up bondsaccording to the JLT model,...
Persistent link: https://www.econbiz.de/10011255659
We value rating-triggered step-up bonds with three methods: (i) the Jarrow, Lando and
Persistent link: https://www.econbiz.de/10005209470
We consider eight different measures (issued amount, coupon, listed, age, missing
Persistent link: https://www.econbiz.de/10005209522
We consider eight different measures (issued amount, coupon, listed, age, missingprices, price volatility, number of contributors and yield dispersion) to approximate corporatebond liquidity and use a five-variable model to control for maturity, credit and currencydifferences between bonds. The...
Persistent link: https://www.econbiz.de/10011256564