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Corporate bonds: fixed versus stochastic coupons—an empirical study

Author

Listed:
  • Belal Ehsan Baaquie

    (Advisor at Helixtap Technology)

  • Muhammad Mahmudul Karim

    (University of Southampton Malaysia)

Abstract

This paper studies a model proposed by Baaquie (Phys A Stat Mech Appl 541:123367, 2020b) for which a corporate bond pays coupons that are stochastic—depending on the valuation of the issuer. It is shown that by considering bonds with stochastic coupons that are ‘equivalent’ to fixed coupon bonds (defined in the paper), the price of the fixed coupon bond can be accurately explained. The proposed model of stochastic coupons has a built-in hedge for the issuer—and has the feature of profit and loss sharing between investor and issuer making it a viable instrument for Islamic finance.

Suggested Citation

  • Belal Ehsan Baaquie & Muhammad Mahmudul Karim, 2024. "Corporate bonds: fixed versus stochastic coupons—an empirical study," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 113-128, February.
    • Handle: RePEc:pal:assmgt:v:25:y:2024:i:1:d:10.1057_s41260-023-00343-y
    DOI: 10.1057/s41260-023-00343-y
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    More about this item

    Keywords

    Corporate bond; Stochastic coupon; Hedge; Bond price; Islamic finance instrument;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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