IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2302.05808.html
   My bibliography  Save this paper

Long-term option pricing with a lower reflecting barrier

Author

Listed:
  • R. Guy Thomas

Abstract

This paper considers the pricing of long-term options on assets such as housing, where either government intervention or the economic nature of the asset is assumed to limit large falls in prices. The observed asset price is modelled by a geometric Brownian motion (the 'notional price') reflected at a lower barrier. The resulting observed price has standard dynamics but with localised intervention at the barrier, which allows arbitrage with interim losses; this is funded by the government's unlimited powers of intervention, and its exploitation is subject to credit constraints. Despite the lack of an equivalent martingale measure for the observed price, options on this price can be expressed as compound options on the arbitrage-free notional price, to which standard risk-neutral arguments can be applied. Because option deltas tend to zero when the observed price approaches the barrier, hedging with the observed price gives the same results as hedging with the notional price, and so exactly replicates option payoffs. Hedging schemes are not unique, with the cheapest scheme for any derivative being the one which best exploits the interventions at the barrier. The price of a put is clear: direct replication has a lower initial cost than synthetic replication, and the replication portfolio always has positive value. The price of a call is ambiguous: synthetic replication has a lower initial cost than direct replication, but the replication portfolio may give interim losses, and so the preferred replication strategy (and hence price) of a call may depend on what margin payments need to be made on these losses.

Suggested Citation

  • R. Guy Thomas, 2023. "Long-term option pricing with a lower reflecting barrier," Papers 2302.05808, arXiv.org.
  • Handle: RePEc:arx:papers:2302.05808
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2302.05808
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mitchell, Mark & Pulvino, Todd, 2012. "Arbitrage crashes and the speed of capital," Journal of Financial Economics, Elsevier, vol. 104(3), pages 469-490.
    2. Mark Loewenstein & Gregory A. Willard, 2000. "Local martingales, arbitrage, and viability," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 16(1), pages 135-161.
    3. Basak, Suleyman & Croitoru, Benjamin, 2000. "Equilibrium Mispricing in a Capital Market with Portfolio Constraints," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 715-748.
    4. Steven L. Heston & Mark Loewenstein & Gregory A. Willard, 2007. "Options and Bubbles," The Review of Financial Studies, Society for Financial Studies, vol. 20(2), pages 359-390.
    5. Dirk Veestraeten, 2008. "Valuing stock options when prices are subject to a lower boundary," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(3), pages 231-247, March.
    6. Thomas, R. Guy, 2021. "Valuation of no-negative-equity guarantees with a lower reflecting barrier," Annals of Actuarial Science, Cambridge University Press, vol. 15(1), pages 115-143, March.
    7. Hans Gerber & Gérard Pafumi, 2000. "Pricing Dynamic Investment Fund Protection," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(2), pages 28-37.
    8. Jun Liu, 2004. "Losing Money on Arbitrage: Optimal Dynamic Portfolio Choice in Markets with Arbitrage Opportunities," The Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 611-641.
    9. Lasse Heje Pedersen & Mark Mitchell & Todd Pulvino, 2007. "Slow Moving Capital," American Economic Review, American Economic Association, vol. 97(2), pages 215-220, May.
    10. Markus Hertrich & Dirk Veestraeten, 2013. "Valuing Stock Options When Prices are Subject to a Lower Boundary: A Correction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(9), pages 889-890, September.
    11. Markus Hertrich, 2015. "A Cautionary Note on the Put-Call Parity under an Asset Pricing Model with a Lower Reflecting Barrier," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 151(III), pages 227-260, September.
    12. Owen A. Lamont & Richard H. Thaler, 2003. "Can the Market Add and Subtract? Mispricing in Tech Stock Carve-outs," Journal of Political Economy, University of Chicago Press, vol. 111(2), pages 227-268, April.
    13. Gordon Gemmill & Dylan Thomas, 1997. "Warrants on the London Stock Exchange: Pricing Biases and Investor Confusion," Review of Finance, European Finance Association, vol. 1(1), pages 31-49.
    14. Ko, Bangwon & Shiu, Elias S.W. & Wei, Li, 2010. "Pricing maturity guarantee with dynamic withdrawal benefit," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 216-223, October.
    15. Dean Buckner & Kevin Dowd & Hardy Hulley, 2022. "Arbitrage Problems with Reflected Geometric Brownian Motion," Papers 2201.05312, arXiv.org, revised Sep 2022.
    16. Bühlmann, Hans & Platen, Eckhard, 2003. "A Discrete Time Benchmark Approach for Insurance and Finance," ASTIN Bulletin, Cambridge University Press, vol. 33(2), pages 153-172, November.
    17. Nassim Nicholas Taleb, 2015. "Unique Option Pricing Measure with neither Dynamic Hedging nor Complete Markets," European Financial Management, European Financial Management Association, vol. 21(2), pages 228-235, March.
    18. Goldman, M Barry & Sosin, Howard B & Gatto, Mary Ann, 1979. "Path Dependent Options: "Buy at the Low, Sell at the High"," Journal of Finance, American Finance Association, vol. 34(5), pages 1111-1127, December.
    19. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    20. Hosty, G. M. & Groves, S. J. & Murray, C. A. & Shah, M., 2008. "Pricing and Risk Capital in the Equity Release Market," British Actuarial Journal, Cambridge University Press, vol. 14(1), pages 41-91, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dean Buckner & Kevin Dowd & Hardy Hulley, 2022. "Arbitrage Problems with Reflected Geometric Brownian Motion," Papers 2201.05312, arXiv.org, revised Sep 2022.
    2. Markus Hertrich & Heinz Zimmermann, 2017. "On the Credibility of the Euro/Swiss Franc Floor: A Financial Market Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 567-578, March.
    3. Wang, Xinjie & Wu, Yangru & Yan, Hongjun & Zhong, Zhaodong (Ken), 2021. "Funding liquidity shocks in a quasi-experiment: Evidence from the CDS Big Bang," Journal of Financial Economics, Elsevier, vol. 139(2), pages 545-560.
    4. Eckhard Platen & Hardy Hulley, 2008. "Hedging for the Long Run," Research Paper Series 214, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Peter Van Tassel, 2016. "Merger options and risk arbitrage," Staff Reports 761, Federal Reserve Bank of New York.
    6. Jiakai Chen & Haoyang Liu & Asani Sarkar & Zhaogang Song, 2020. "Dealers and the Dealer of Last Resort: Evidence from the Agency MBS Markets in the COVID-19 Crisis," Staff Reports 933, Federal Reserve Bank of New York.
    7. Kapadia, Nikunj & Pu, Xiaoling, 2012. "Limited arbitrage between equity and credit markets," Journal of Financial Economics, Elsevier, vol. 105(3), pages 542-564.
    8. Hardy Hulley, 2009. "Strict Local Martingales in Continuous Financial Market Models," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 19, July-Dece.
    9. Péter Kondor, 2009. "Risk in Dynamic Arbitrage: The Price Effects of Convergence Trading," Journal of Finance, American Finance Association, vol. 64(2), pages 631-655, April.
    10. Eckhard Platen, 2008. "A Unifying Approach to Asset Pricing," Research Paper Series 227, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Andrei Shleifer & Robert Vishny, 2011. "Fire Sales in Finance and Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 29-48, Winter.
    12. Matthias Fleckenstein & Francis A. Longstaff & Hanno Lustig, 2010. "Why Does the Treasury Issue Tips? The Tips-Treasury Bond Puzzle," NBER Working Papers 16358, National Bureau of Economic Research, Inc.
    13. He, Zhiguo & Kelly, Bryan & Manela, Asaf, 2017. "Intermediary asset pricing: New evidence from many asset classes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 1-35.
    14. Nina Boyarchenko & Thomas M. Eisenbach & Pooja Gupta & Or Shachar & Peter Van Tassel, 2018. "Bank-Intermediated Arbitrage," Liberty Street Economics 20181018, Federal Reserve Bank of New York.
    15. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    16. Zhigu He & Arvind Krishnamurthy, 2012. "A Model of Capital and Crises," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 735-777.
    17. Hertrich Markus, 2016. "The Costs of Implementing a Unilateral One-Sided Exchange Rate Target Zone," Review of Economics, De Gruyter, vol. 67(1), pages 91-120, May.
    18. Chen, Shiyi & Chng, Michael T. & Liu, Qingfu, 2021. "The implied arbitrage mechanism in financial markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 468-483.
    19. Xiong, Wei, 2001. "Convergence trading with wealth effects: an amplification mechanism in financial markets," Journal of Financial Economics, Elsevier, vol. 62(2), pages 247-292, November.
    20. Rösch, Dominik, 2021. "The impact of arbitrage on market liquidity," Journal of Financial Economics, Elsevier, vol. 142(1), pages 195-213.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2302.05808. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.