Recently we used the maximum entropy principle for finding the price density in a multi agent insurance market. The result is similar to what the Buhlmann had obtained by maximizing the utility function. Here we begin with the price density that is derived by applying the maximum entropy principle to a conservative economic system (exchange market), then reverse the Buhlmann calculation to find the utility function and the risk aversion of agents with respect to this density
This article proposes the application of the maximum-entropy principle (MEP) to agency contracting (...
Option pricing has been a popular topic in the financial industry. If there were an effective way t...
Entropy based ideas find wide-ranging applications in finance for calibrating models of portfolio ri...
We apply the maximum entropy principle to economic systems in equilibrium and find the density funct...
The maximum entropy principle can be used to assign utility values when only partial information is ...
This article revisits the maximum entropy algorithm in the context of recovering the probability dis...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
International audienceWe obtain the maximum entropy distribution for an asset from call and digital ...
In this paper, the continuous optimal control theory is used to model and solve the maximum entropy ...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
Traditionally, the Maximum Entropy technique is used to select a probability distribution in situati...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
In risk management the estimation of the distribution of random sums or collective models from hist...
The recovering of a positive density function of which a finite number of moments are assigned is co...
This article proposes the application of the maximum-entropy principle (MEP) to agency contracting (...
Option pricing has been a popular topic in the financial industry. If there were an effective way t...
Entropy based ideas find wide-ranging applications in finance for calibrating models of portfolio ri...
We apply the maximum entropy principle to economic systems in equilibrium and find the density funct...
The maximum entropy principle can be used to assign utility values when only partial information is ...
This article revisits the maximum entropy algorithm in the context of recovering the probability dis...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
International audienceWe obtain the maximum entropy distribution for an asset from call and digital ...
In this paper, the continuous optimal control theory is used to model and solve the maximum entropy ...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
Traditionally, the Maximum Entropy technique is used to select a probability distribution in situati...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
In risk management the estimation of the distribution of random sums or collective models from hist...
The recovering of a positive density function of which a finite number of moments are assigned is co...
This article proposes the application of the maximum-entropy principle (MEP) to agency contracting (...
Option pricing has been a popular topic in the financial industry. If there were an effective way t...
Entropy based ideas find wide-ranging applications in finance for calibrating models of portfolio ri...