Showing 1 - 10 of 257
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/10011451506
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/10010325904
For forecasting volatility of futures returns, the paper proposes an indirect method based on the relationship between … futures and the underlying asset for the returns and time-varying volatility. For volatility forecasting, the paper considers … that the new method based on stochastic volatility models with the asymmetry and long memory outperforms the forecasting …
Persistent link: https://www.econbiz.de/10011662515
or demographics. We show the good forecasting performance of the model relative to popular alternatives, including … about the unconditional mean and along with the time variation improves the long-run forecasting performance of the VAR …
Persistent link: https://www.econbiz.de/10011819540
The Basel Committee on Banking Supervision (BCBS) (2013) recently proposed shifting the quantitative risk metrics system from Value-at-Risk (VaR) to Expected Shortfall (ES). The BCBS (2013) noted that "a number of weaknesses have been identified with using VaR for determining regulatory capital...
Persistent link: https://www.econbiz.de/10011288403
In this paper we study what professional forecasters actually explain. We use spectral analysis and state space modeling to decompose economic time series into a trend, a business-cycle, and an irregular component. To examine which components are captured by professional forecasters we regress...
Persistent link: https://www.econbiz.de/10011403556
Dynamic models for credit rating transitions are important ingredients for dynamic credit risk analyses. We compare the properties of two such models that have recently been put forward. The models mainly differ in their treatment of systematic risk, which can be modeled either using discrete...
Persistent link: https://www.econbiz.de/10010324909
for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in … the intraday volatility measure. For forecasting horizons ranging from one day to one week the most accurate out …
Persistent link: https://www.econbiz.de/10010324972
volatility forecasting. In this paper we explore the forecasting value of historical volatility (extracted from daily return … 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/10010325171
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility, which accommodates level shifts, day-of-the-week...
Persistent link: https://www.econbiz.de/10010325218