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A Binomial Lattice Method for Pricing Corporate Debt and Modeling Chapter 11 Proceedings

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  • Broadie, Mark
  • Kaya, Özgür

Abstract

The pricing of corporate debt is still a challenging and active research area in corporate finance. Starting with Merton (1974), many authors proposed a structural approach in which the value of the assets of the firm is modeled by a stochastic process, and all other variables are derived from this basic process. These structural models have become more complex over time in order to capture more realistic aspects of bankruptcy proceedings. The literature in this area emphasizes closed-form solutions that are derived by either partial differential equation methods or analytical pricing techniques. However, it is not always possible to build a comprehensive model with realistic model features and achieve a closed-form solution at the same time. In this paper, we develop a binomial lattice method that can be used to handle complex structural models such as ones that include Chapter 11 proceedings of the U.S. bankruptcy code. Although lattice methods have been widely used in the option pricing literature, they are relatively new in corporate debt pricing. In particular, the limited liability requirement of the equity holders needs to be handled carefully in this context. Our method can be used to solve the Leland (1994) model and its extension to the finite maturity case, the more complex model of Broadie, Chernov, and Sundaresan (2007), and others.

Suggested Citation

  • Broadie, Mark & Kaya, Özgür, 2007. "A Binomial Lattice Method for Pricing Corporate Debt and Modeling Chapter 11 Proceedings," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(2), pages 279-312, June.
  • Handle: RePEc:cup:jfinqa:v:42:y:2007:i:02:p:279-312_00
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    Cited by:

    1. Kim, Hwa-Sung, 2023. "Forced conversion to Chapter 7 bankruptcy and optimal financial decisions," Finance Research Letters, Elsevier, vol. 54(C).
    2. Agliardi, Elettra & Koussis, Nicos, 2013. "Optimal capital structure and the impact of time-to-build," Finance Research Letters, Elsevier, vol. 10(3), pages 124-130.
    3. Ayadi, Mohamed A. & Ben-Ameur, Hatem & Fakhfakh, Tarek, 2016. "A dynamic program for valuing corporate securities," European Journal of Operational Research, Elsevier, vol. 249(2), pages 751-770.
    4. Jie Dai, 2014. "Assessing Solvency of Financial Institutions: An Option-theoretic Approach," Proceedings of Economics and Finance Conferences 0401522, International Institute of Social and Economic Sciences.
    5. Nick Georgiopoulos, 2017. "High Uncertainty Financing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-24, November.
    6. E. Agliardi & N. Koussis, 2014. "Debt Maturity Choices, Multi-stage Investments and Financing Constraints," Working Papers wp980, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Mjøs, Aksel & Persson, Svein-Arne, 2010. "Callable risky perpetual debt with protection period," European Journal of Operational Research, Elsevier, vol. 207(1), pages 391-400, November.
    8. Anna Kamille Nyegaard & Johan Raunkjær Ott & Mogens Steffensen, 2021. "An Intrinsic Value Approach to Valuation with Forward–Backward Loops in Dividend Paying Stocks," Mathematics, MDPI, vol. 9(13), pages 1-23, June.
    9. McWalter, Thomas A. & Ritchken, Peter H., 2022. "On stock-based loans," Journal of Financial Intermediation, Elsevier, vol. 52(C).
    10. Gast¨®n S. Milanesi & Emilio El Alabi & Gabriela Pesce, 2015. "Continuity or Liquidation in Situations of Ambiguity: Fuzzy Binomial Model to Valuate Leveraged Firms," Research in Applied Economics, Macrothink Institute, vol. 7(1), pages 26-47, March.
    11. Mjøs, Aksel & Persson, Svein-Arne, 2008. "Level dependent annuities: Defaults of multiple degrees," Discussion Papers 2008/6, Norwegian School of Economics, Department of Business and Management Science.
    12. Makarov, R. & Metzler, A. & Ni, Z., 2015. "Modelling default risk with occupation times," Finance Research Letters, Elsevier, vol. 13(C), pages 54-65.
    13. Borochin, Paul & Kopeliovich, Yaacov & Shea, Kevin, 2020. "A general method for valuing complex capital structures," Finance Research Letters, Elsevier, vol. 35(C).
    14. Alex Backwell & Thomas A. McWalter & Peter H. Ritchken, 2022. "On buybacks, dilutions, dividends, and the pricing of stock‐based claims," Mathematical Finance, Wiley Blackwell, vol. 32(1), pages 273-308, January.
    15. Hatem Ben-Ameur & Tarek Fakhfakh & Alexandre Roch, 2024. "Valuing Corporate Securities When the Firm’s Assets are Illiquid," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 579-598, February.
    16. Chuang-Chang Chang & Jun-Biao Lin & Chun-Chieh Yang, 2015. "The effect of stochastic interest rates on a firm’s capital structure under a generalized model," Review of Quantitative Finance and Accounting, Springer, vol. 45(4), pages 695-719, November.
    17. Wenyuan Wang & Xiang Yu & Xiaowen Zhou, 2021. "On optimality of barrier dividend control under endogenous regime switching with application to Chapter 11 bankruptcy," Papers 2108.01800, arXiv.org, revised Nov 2023.
    18. Agliardi, Elettra & Koussis, Nicos, 2011. "Optimal capital structure and investment options in finite horizon," Finance Research Letters, Elsevier, vol. 8(1), pages 28-36, March.
    19. McWalter, Thomas A. & Ritchken, Peter H., 2022. "Black economic empowerment regulation and risk incentives," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    20. Milanesi, Gastón Silverio, 2023. "Valoración de estrategias competitivas, acuerdos colaborativos y penalizaciones con Opciones Reales Multinomiales y Teoría de Juegos [Valuation of competitive strategies, collaborative agreements a," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 35(1), pages 360-388, June.
    21. Liu, Liang-Chih & Dai, Tian-Shyr & Wang, Chuan-Ju, 2016. "Evaluating corporate bonds and analyzing claim holders’ decisions with complex debt structure," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 151-174.
    22. Tianyang Wang & James Dyer & Warren Hahn, 2015. "A copula-based approach for generating lattices," Review of Derivatives Research, Springer, vol. 18(3), pages 263-289, October.
    23. Buttignon Fabio, 2020. "Distressed Firm Valuation: A Scenario Discounted Cash Flow Approach," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 15(1), pages 1-47, February.
    24. Michael Albert & Jason Fink & Kristin E. Fink, 2008. "Adaptive Mesh Modeling And Barrier Option Pricing Under A Jump‐Diffusion Process," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(4), pages 381-408, December.
    25. Oleg Sokolinskiy, 2019. "Debt rollover-induced local volatility model," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 1065-1084, May.

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