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Managing Supply Risk in Fixed Price Contracts: A Contingent Claims Perspective

Author

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  • Kamrad, Bardia
  • Ji, Ran
  • Schmidt, Glen M.

Abstract

The primary focus of this paper is supply risk mitigation. though, its objectives are twofold. First, we develop a generic contingent claims model framed as an exercise in stochastic optimal control. The model is easily adjusted to a number of risk-based operational problems. Second, we adapt the model to the problem of supply uncertainty and the valuation of a fixed price contract with a focus on managing supply uncertainty through a portfolio based risk sharing framework. The risk and reward tradeoffs characterizing our general findings in this chapter indicate a subtle balance between supply risk, sourcing allocations and related costs, and accordingly, the resulting operational strategies considered. Given this setup, increased supplier-portfolio risk is a defining measure in establishing optimal operating policies, with the caveat that increases in the supplier portfolio’s volatility, also increase shortages which lowers the contract’s value.

Suggested Citation

  • Kamrad, Bardia & Ji, Ran & Schmidt, Glen M., 2017. "Managing Supply Risk in Fixed Price Contracts: A Contingent Claims Perspective," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 11(1-2), pages 65-88, December.
  • Handle: RePEc:now:fnttom:0200000079
    DOI: 10.1561/0200000079
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    More about this item

    Keywords

    Operational risk management; Contingency planning; Commodity price risk; Supply chain disrutpions;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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