EconPapers    
Economics at your fingertips  
 

Optimal Credit Investment with Borrowing Costs

Lijun Bo () and Agostino Capponi ()
Additional contact information
Lijun Bo: School of Mathematical Sciences, University of Science and Technology of China, 230026 Hefei, Anhui, China; Wu Wen Tsun Key Laboratory of Mathematics, Chinese Academy of Science, 230026 Hefei, Anhui, China
Agostino Capponi: Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027

Mathematics of Operations Research, 2017, vol. 42, issue 2, 546-575

Abstract: We consider the portfolio decision problem of a risky investor. The investor borrows at a rate higher than his lending rate and invests in a risky bond whose market price is correlated with the credit quality of the investor. By viewing the concave drift of the wealth process as a continuous function of the admissible control, we characterize the optimal strategy in terms of a relation between a critical borrowing threshold and solutions of a system of first-order conditions. We analyze the nonlinear dynamic programming equation and prove the singular growth of its coefficients. Using a truncation technique relying on the locally Lipschitz continuity of the optimal strategy, we remove the singularity and show the existence and uniqueness of a global regular solution. Our explicit characterization of the strategy has direct financial implications: it indicates that the investor purchases a high number of bond shares when his borrowing costs are low and the bond sufficiently safe, and reduces the size of his long position or even sells short when his financing costs are high or the bond very risky.

Keywords: portfolio decisions; borrowing costs; credit risk; dynamic programming equation (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1287/moor.2016.0818 (application/pdf)

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:inm:ormoor:v:42:y:2017:i:2:p:546-575

Access Statistics for this article

More articles in Mathematics of Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ormoor:v:42:y:2017:i:2:p:546-575