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As part of Basel II's incremental risk charge (IRC) methodology, this paper summarizes our extensive investigations of constructing transition probability matrices (TPMs) for unsecuritized credit products in the trading book. The objective is to create monthly or quarterly TPMs with predefined...
Persistent link: https://www.econbiz.de/10008839370
As part of Basel II's incremental risk charge (IRC) methodology, this paper summarizes our extensive investigations of constructing transition probability matrices (TPMs) for unsecuritized credit products in the trading book. The objective is to create monthly or quarterly TPMs with predefined...
Persistent link: https://www.econbiz.de/10013130280
Persistent link: https://www.econbiz.de/10014326619
Persistent link: https://www.econbiz.de/10012183252
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We provide an analytical VaR approach for the credit portfolio with liquidity horizon and the constant level of risk. Given any time horizon, a two period credit portfolio loss model is derived and, at the end of the first period, the portfolio is rebalanced to ensure a constant level risk of...
Persistent link: https://www.econbiz.de/10013053930
In this work a trinomial tree representing the Heston model variance process is used to estimate the parameters for the Heston stochastic volatility model using historical daily observations of the asset.The results include estimates for all Heston model parameters as well as an estimated most...
Persistent link: https://www.econbiz.de/10014352121
In this paper the ability of a variety of backtesting experiments to identify a model with misspecified volatility is examined. This quantitative testing assumes five years of risk factor observations, considers overlapping and non-overlapping backtest observations with horizons out to a year,...
Persistent link: https://www.econbiz.de/10012891661
This paper examines parameter estimation (mean, volatility and correlation) for correlated Brownian processes making use of overlapping return observations.In doing so, we derive the minimum variance unbiased estimators within the space of linear (for the mean) and quadratic (for the variance...
Persistent link: https://www.econbiz.de/10012933997