Showing 1 - 10 of 51
parsimony and robustness. APS is applied within a Bayesian analysis of a GARCH-mixture model which is used for the evaluation of …
Persistent link: https://www.econbiz.de/10005051715
methods. The effects of several model characteristics (unit roots, GARCH, stochastic volatility, heavy tailed disturbance …
Persistent link: https://www.econbiz.de/10008570624
Carlo methods. The effects of several model characteristics (unit roots, GARCH, stochastic volatility, heavy tailed …
Persistent link: https://www.econbiz.de/10008584714
The internal models amendment to the Basel Accord allows banks to use internal models to forecast Value-at-Risk (VaR) thresholds, which are used to calculate the required capital that banks must hold in reserve as a protection against negative changes in the value of their trading portfolios. As...
Persistent link: https://www.econbiz.de/10008484079
America, time-varying mixture GARCH models and asymmetric volatility, and diagnostic checking for non-stationary ARMA models …
Persistent link: https://www.econbiz.de/10010860064
Credit risk is the most important type of risk in terms of monetary value. Another key risk measure is market risk, which is concerned with stocks and bonds, and related financial derivatives, as well as exchange rates and interest rates. This paper is concerned with market risk management and...
Persistent link: https://www.econbiz.de/10005056578
papers cover the following topics: currency hedging strategies using dynamic multivariate GARCH, risk management of risk … under the Basel Accord: A Bayesian approach to forecasting value-at-risk of VIX futures, fast clustering of GARCH processes …
Persistent link: https://www.econbiz.de/10010674394
compute the VaR for major precious metals using the calibrated RiskMetrics, different GARCH models, and the semi …
Persistent link: https://www.econbiz.de/10008870925
compute the VaR for major precious metals using the calibrated RiskMetrics, different GARCH models, and the semi …
Persistent link: https://www.econbiz.de/10008484085
We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...
Persistent link: https://www.econbiz.de/10011272625