Showing 1 - 10 of 96
A new insurance provider or a regulatory agency may be interested in determining a risk measure consistent with observed market prices of a collection of risks. Using a relationship between distorted coherent risk measures and spectral risk measures, we provide a method for reconstructing...
Persistent link: https://www.econbiz.de/10005375062
Here we present an application of two maxentropic procedures to determine the probability density distribution of compound sums of random variables, using only a finite number of empirically determined fractional moments. The two methods are the Standard method of Maximum Entropy (SME), and the...
Persistent link: https://www.econbiz.de/10011082325
In Gzyl and Mayoral (2008) we developed a technique to solve the following type of problems: How to determine a risk aversion function equivalent to pricing a risk with a load, or equivalent to pricing different risks by means of the same risk distortion function. The information on which the...
Persistent link: https://www.econbiz.de/10008494922
We consider the problem of recovering the risk-neutral probability distribution of the price of an asset, when the information available consists of the market price of derivatives of European type having the asset as underlying. The information available may or may not include the spot value of...
Persistent link: https://www.econbiz.de/10010692549
Persistent link: https://www.econbiz.de/10008422775
Persistent link: https://www.econbiz.de/10008149204
Persistent link: https://www.econbiz.de/10009998599
Persistent link: https://www.econbiz.de/10008893150
We analyze the role that corporation plays and could play in anticorruption programs, with the World Bank Governance and Anticorruption (2006-07) report as a base. Using the BPI and CPI and “Doing-Business” databases, its triple strategy —investment climate, ethical practice and...
Persistent link: https://www.econbiz.de/10010559837
The paper proposes a simple estimator for a class of Conditional Expected Shortfall risk measures. The estimator is semiparametric, in the sense that it does not require a full specification of the conditional distribution of the data, and it is very simple to compute, being a least squares...
Persistent link: https://www.econbiz.de/10005543993