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Journal ArticleDOI

The impacts of private risk aversion magnitude and moral hazard in R&D project under uncertain environment

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TLDR
This study investigates the impacts of information asymmetry on the optimal compensation contracts and the firm’s profits under four information structures and provides managerial recommendations on mitigating the adverse impacts caused by asymmetric information.
Abstract
The R&D project manager tends to misreport risk aversion magnitude and shirk under uncertain environment for acquiring information rent and risk premium, which brings a significant challenge for the firm when designing compensation contracts. We consider an agency problem where a firm employs a manager who has private information about his risk aversion magnitude and unobservable efforts to implement a R&D project through a menu of incentive contracts. Both the subjective assessments about the risk aversion degree and the project variability are characterized as uncertain variables. Within the framework of uncertainty theory and principal-agent theory, we investigate the impacts of information asymmetry on the optimal compensation contracts and the firm’s profits under four information structures. We demonstrate that, counterintuitive as it sounds, the manager’s optimal contract under full information is the same as that under pure adverse selection. Nevertheless, compared to the case under full information, the firm should distort the commission rate upwards under pure moral hazard and dual asymmetric information. We also show that when the manager’s efforts are observable, hidden information about the risk aversion magnitude has no effect on the firm’s profit. However, when unobservable, private risk aversion degree always brings about information rent and induces a loss for the firm’s profit. Finally, our study provides managerial recommendations on mitigating the adverse impacts caused by asymmetric information.

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References
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Journal ArticleDOI

Moral Hazard and Observability

TL;DR: In this article, the role of imperfect information in a principal-agent relationship subject to moral hazard is considered, and a necessary and sufficient condition for imperfect information to improve on contracts based on the payoff alone is derived.
Posted Content

Moral Hazard in Teams

TL;DR: In this paper, the authors study moral hazard with many agents and focus on two features that are novel in a multiagent setting: free riding and competition, and show that competition among agents (due to relative evaluations) has merit solely as a device to extract information optimally.
Journal ArticleDOI

Moral Hazard in Teams

TL;DR: In this article, the authors study moral hazard with many agents and focus on two features that are novel in a multiagent setting: free riding and competition, and show that competition among agents (due to relative evaluations) has merit solely as a device to extract information optimally.
Book

Uncertainty Theory

Baoding Liu
TL;DR: Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference.
Journal ArticleDOI

Uncertain Currency Model and Currency Option Pricing

TL;DR: The foreign exchange rate is viewed as an uncertain processes, described by uncertain differential equations driven by the Liu process, and an uncertain currency model is built and the uncertain currency option problems are discussed.