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We extend the definition of a convex risk measure to a conditional framework where additional information is available. We characterize these risk measures through the associated acceptance sets and prove a representation result in terms of conditional expectations. As an example we consider the...
Persistent link: https://www.econbiz.de/10010263581
Persistent link: https://www.econbiz.de/10003133271
We extend the definition of a convex risk measure to a conditional framework where additional information is available. We characterize these risk measures through the associated acceptance sets and prove a representation result in terms of conditional expectations. As an example we consider the...
Persistent link: https://www.econbiz.de/10003035916
SFB 649 Discussion Paper 2005-006 Conditional and Dynamic Convex Risk Measures Kai Detlefsen* Giacomo Scandolo** * CASE - Center of Applied Statistics and Economics, Humboldt-Universität zu Berlin, Germany ** Department of Mathematics for Economic Decisions,...
Persistent link: https://www.econbiz.de/10004457492
Persistent link: https://www.econbiz.de/10008214150
We extend the definition of a convex risk measure to a conditional framework where additional information is available. We characterize these risk measures through the associated acceptance sets and prove a representation result in terms of conditional expectations. As an example we consider the...
Persistent link: https://www.econbiz.de/10005678011
We extend the definition of a convex risk measure to a conditional framework where additional information is available. We characterize these risk measures through the associated acceptance sets and prove a representation result in terms of conditional expectations. A suitable regularity...
Persistent link: https://www.econbiz.de/10005390720
This paper analyzes empirical market utility functions and pricing kernelsderived from the DAX and DAX option data for three market regimes. Aconsistent parametric framework of stochastic volatility is used. All empiricalmarket utility functions show a region of risk proclivity that is...
Persistent link: https://www.econbiz.de/10005861046
The Black-Scholes formula, one of the major breakthroughs of modern finance,allows for an easy and fast computation of option prices. But some of its assumptions, like constant volatility or log-normal distribution of asset prices,do not find justification in the markets. More complex models,...
Persistent link: https://www.econbiz.de/10005862326
Recently, Diebold and Li (2003) obtained good forecasting results foryield curves in a reparametrized Nelson-Siegel framework. We analyze similarmodeling approaches for price curves of variance swaps that serve nowadaysas hedging instruments for options on realized variance. We consider the...
Persistent link: https://www.econbiz.de/10005854703