Optimal Communication In Bank Lending Decisions

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Optimal Communication In Bank Lending Decisions

Alternative title

Published Date

2023-08

Publisher

Type

Thesis or Dissertation

Abstract

I study the optimal design of compensation contracts and information systems that motivateloan officers to provide high effort and truthful communication of borrowers’ soft information. I explore how a bank can balance these competing objectives in equilibrium. My findings suggest that if the bank seeks to incentivize both effort and truthful communication, it may design a positively biased information system and compensate loan officers even if a loan application is ultimately rejected. When the cost of motivating effort increases, the bank may opt for a less informative information system and shift to a hard information regime that prioritizes perfect revelation of states while disregarding soft information communication. Interestingly, the loan officer may prefer a perfect information system if she is in charge of the information design process.

Keywords

Description

University of Minnesota Ph.D. dissertation. August 2023. Major: Business Administration. Advisor: Chandra Kanodia. 1 computer file (PDF); viii, 71 pages.

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Feng, Juerui. (2023). Optimal Communication In Bank Lending Decisions. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/258863.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.