Showing 1 - 10 of 147
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011257521
Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...
Persistent link: https://www.econbiz.de/10011255481
In this paper we aim to measure actual volatility within a model-based framework using high-frequency data. In the empirical finance literature it is known that tick-by-tick prices are subject to market micro-structure such as bid-ask bounces and trade information. Such market micro-structure...
Persistent link: https://www.econbiz.de/10011255617
This discussion paper led to a publication in the 'Journal of Econometrics', 2011, 163, 215-230.<P> We propose new scoring rules based on partial likelihood for assessing the relative out-of-sample predictive accuracy of competing density forecasts over a specific region of interest, such as the...</p>
Persistent link: https://www.econbiz.de/10011255794
Recent models for credit risk management make use of Hidden Markov Models (HMMs). The HMMs are used to forecast quantiles of corporate default rates. Little research has been done on the quality of such forecasts if the underlying HMM is potentially mis-specified. In this paper, we focus on...
Persistent link: https://www.econbiz.de/10011255911
for volatility forecasting. In this paper we explore the forecasting value of historical volatility (extracted from daily … explanatory variables for volatility. The main focus is on forecasting the daily variability of the Standard & Poor's 100 stock …
Persistent link: https://www.econbiz.de/10011256228
This paper documents that factors extracted from a large set of macroeconomic variables bear useful information for predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression models improve upon both benchmark models that only...
Persistent link: https://www.econbiz.de/10011256330
See the article in <I>Mathematics and Computers in Simulation (MATCOM)</I> (2013). Volume 93(c), pages 9-18.<P> Many macroeconomic forecasts and forecast updates like those from IMF and OECD typically involve both a model component, which is replicable, as well as intuition, which is non-replicable....</p></i>
Persistent link: https://www.econbiz.de/10011256344
The Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of...
Persistent link: https://www.econbiz.de/10011256460
as a GFC-robust strategy by using an additional set of new extreme value forecasting models and by extending the sample …
Persistent link: https://www.econbiz.de/10011256711