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Moral Hazard in Dynamic Risk Management

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TLDR
A contracting problem in which a principal hires an agent to manage a risky project is considered, and it is shown that the optimal contract is linear in these factors: the contractible sources of risk, including the output, the quadratic variation of the output and the cross-variations between theoutput and the contractable risk sources.
Abstract
We consider a contracting problem in which a principal hires an agent to manage a risky project. When the agent chooses volatility components of the output process and the principal observes the output continuously, the principal can compute the quadratic variation of the output, but not the individual components. This leads to moral hazard with respect to the risk choices of the agent. We identify a family of admissible contracts for which the optimal agent's action is explicitly characterized, and, using the recent theory of singular changes of measures for Ito processes, we study how restrictive this family is. In particular, in the special case of the standard Homlstrom-Milgrom model with fixed volatility, the family includes all possible contracts. We solve the principal-agent problem in the case of CARA preferences, and show that the optimal contract is linear in these factors: the contractible sources of risk, including the output, the quadratic variation of the output and the cross-variations between the output and the contractible risk sources. Thus, like sample Sharpe ratios used in practice, path-dependent contracts naturally arise when there is moral hazard with respect to risk management. In a numerical example, we show that the loss of efficiency can be significant if the principal does not use the quadratic variation component of the optimal contract.

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References
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Aggregation and linearity in the provision of intertemporal incentives

Bengt Holmstrom, +1 more
- 01 Mar 1987 - 
TL;DR: In this paper, the authors consider the problem of providing incentives over time for an agent with constant absolute risk aversion, and find that the optimal compensation scheme is a linear function of a vector of accounts which count the number of times that each of the N kinds of observable events occurs.
Journal ArticleDOI

Backward Stochastic Differential Equations in Finance

TL;DR: In this article, different properties of backward stochastic differential equations and their applications to finance are discussed. But the main focus of this paper is on the theory of contingent claim valuation, especially cases with constraints.
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Backward stochastic differential equations and partial differential equations with quadratic growth

TL;DR: In this paper, the authors provide existence, comparison and stability results for one-dimensional backward stochastic differential equations (BSDEs) when the coefficient (or generator) $F(t,Y, Z)$ is continuous and has a quadratic growth in $Z$ and the terminal condition is bounded.
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Dynamic Programming and Pricing of Contingent Claims in an Incomplete Market

TL;DR: In this article, the problem of pricing contingent claims or options from the price dynamics of certain securities is well understood in the context of a complete financial market, and the main result of this work is that the maximum price is the smallest price that allows the seller to hedge completely by a controlled portfolio of the basic securities.
Journal ArticleDOI

A Continuous-Time Version of the Principal-Agent Problem

TL;DR: In this paper, a continuous-time principal-agent model is proposed, in which the output is a diffusion process with drift determined by the agent's unobserved effort, and the optimal mix of short-term and long-term incentives depend on the contractual environment.
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