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This article studies four transform pricing methods in the context of general equilbrium (GE) framework. The four methods, viz. the Esscher transform, indifference pricing, the Wang transform, and the standard deviation loading, are popular among actuarial literature and practice. The transform...
Persistent link: https://www.econbiz.de/10014196557
In this paper, we compare two one-factor short rate models: the Hull White model and the Black-Karasinski model. Despite their inherent shortcomings the short rate models are being used quite extensively by the practitioners for risk-management purposes. The research, as part of students'...
Persistent link: https://www.econbiz.de/10014213744
In the context of Merton [1974] and Vasicek [1987, 2002] Gaussian single-factor credit risk models, the authors examine the impact of neglected non-normality of the underlying asset return process on the shape of the derived credit loss distribution and the resulting Basel capital requirements....
Persistent link: https://www.econbiz.de/10014238112
The purpose of this paper is to apply a belief rule-based (BRB) system to solve the multi-asset class portfolio optimisation problems. The BRB system, was developed on the basis of the concept of belief structures and the evidential reasoning (ER) approach, is a generic non-linear modelling and...
Persistent link: https://www.econbiz.de/10014044800
Wegeneralize existing structural credit riskmodels that account for contagion effects across economic sectors, to capture the impact of neglected skewness and excess kurtosis in the asset return process, on the shape of the credit loss distribution. We specify Skew-Normal and Skew-Student t...
Persistent link: https://www.econbiz.de/10014258791
This paper implements a simple and transparent procedure for setting loan-to-value (LTV) ratio based on the market risk of the underlying collateralized portfolio. The loan hair cut (i.e. 1-LTV) is closely related to value-at-risk (VaR) which is very sensitive to model assumptions and...
Persistent link: https://www.econbiz.de/10013110492