Optimal Performance Metrics
Jaeyoung Sung
Additional contact information
Jaeyoung Sung: Ajou University
Chapter Chapter 6 in Contract Theory: Discrete- and Continuous-Time Models, 2023, pp 99-111 from Springer
Abstract:
Abstract We study the use of a signal process in continuous-time contracting. The usefulness of the signal depends on the way that the signal is related to the agent’s performanceOptimal performance metric Second best, risk-based continuous time optimal performance metrics outcome, in terms of information content and correlation. We discuss various cases for useful signals. A signal can be useless if it has zero information content about the agent’s effort and if it is conditionally independent of the outcome. However, even when it has zero information content, and if it is (positively or negatively) correlated with the outcome, the signal can be useful in contracting in that it can help reduce the compensation risk. In general, the signal process can positively affect the construction of the optimal performance metric not only by helping improve the information content, but by helping reduce the compensation risk. We also discuss the concept of the relative performance evaluation (RPE)Relative performance evaluation (RPE) and its role (sometimes its irrelevance) in the presence of financial markets.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-5487-2_6
Ordering information: This item can be ordered from
http://www.springer.com/9789819954872
DOI: 10.1007/978-981-99-5487-2_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().