EconPapers    
Economics at your fingertips  
 

Combined Custom Hedging: Optimal Design, Noninsurable Exposure, and Operational Risk Management

Paolo Guiotto () and Andrea Roncoroni ()
Additional contact information
Paolo Guiotto: Department of Mathematics, University of Padova, 35121 Padova, Italy
Andrea Roncoroni: Department of Finance, ESSEC Business School, 95021 Cergy-Pontoise, France

Operations Research, 2022, vol. 70, issue 1, 38-54

Abstract: We develop a normative framework for the optimal design, value assessment, and risk management integration of combined custom contingent claims. A risk-averse firm faces a mix of financially insurable and noninsurable risk. The firm seeks optimal positioning in a pair of custom claims, one written on the insurable term and another written on any listed index correlated to the noninsurable term. We prove that a unique optimum always exists unless the index is redundant and show that the optimal payoff schedules satisfy a design integral equation. We assess the firm’s incremental benefit in terms of both an indifference value and an efficiency rating; this benefit increases with the correlation of the index to the noninsurable term, and it decreases with the correlation of the index to the insurable term. Our hedge proves to be empirically relevant for a highly risk-averse firm facing a market shock (COVID-19 pandemic). In the context of a newsvendor model featuring random price and demand, we show that (i) integrating our optimal combined custom hedge with the corresponding optimal procurement policy allows the firm to obtain a significant improvement in both risk and return, and (ii) this gain may be traded off for a substantial enhancement in operational flexibility.

Keywords: Financial Engineering; integrated risk management; noninsurable risk; financial product design; COVID-19 pandemic (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.2021.2133 (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:oropre:v:70:y:2022:i:1:p:38-54

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:70:y:2022:i:1:p:38-54