Olkhov, Victor (2020): Classical Option Pricing and Some Steps Further.
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Abstract
This paper takes the trade dataset of the value C and the volume V of executed transactions and regards relations C=pV as the only definition of the implemented price p. Any other price definitions, price models and forecasts form agents price expectations. Expectations force agents perform transactions and thus impact the price p dynamics. This paper considers the classical Black-Scholes-Merton (BSM) model for the underline asset price determined by the trade dataset and takes into account agents expectations. We show that the BSM model implicitly uses assumption that the value and the volume of transactions follow identical Brownian processes. Violation of this identity leads to 2-dimensional BSM-like equation with two constant volatilities. The impact of agents expectations can further increase the dimension of the BSM model. Agents expectations may depend on the option price data and that can lead to nonlinear BSM-like equations. We reconsider the Heston stochastic volatility model for the price determined by the value and the volume and derive 3-dimensional BSM-like model with stochastic value volatility and constant volume volatility. Variety of the BSM-like equations states the problem of reasonable balance between the accuracy and the complexity of the option pricing equations.
Item Type: | MPRA Paper |
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Original Title: | Classical Option Pricing and Some Steps Further |
English Title: | Classical Option Pricing and Some Steps Further |
Language: | English |
Keywords: | Option Pricing; Black-Scholes-Merton Equations; Stochastic Volatility; Market Transactions; Expectations; Nonlinear equations |
Subjects: | G - Financial Economics > G1 - General Financial Markets G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
Item ID: | 103601 |
Depositing User: | Victor Olkhov |
Date Deposited: | 22 Oct 2020 06:45 |
Last Modified: | 22 Oct 2020 06:45 |
References: | Ball, C.A., Roma, A.: Stochastic Volatility Option Pricing. The Journal of Financial and Quantitative Analysis. 29 (4), 589-607 (1994) Bates, D.S.: Testing Option Pricing Models. G.S. Maddale and C.R. Rao, (ed), Handbook of Statistics: Statistical Methods in Finance. 14, 567-611(1996) Berkowitz, S.A., Dennis E. Logue, D.E. and E. A. Noser, Jr.: The Total Cost of Transactions on the NYSE, The Journal Of Finance, 43, (1), 97-112 (1988) Bensaid, B., Lesne, J., Pages, H., and Scheinkman, J.: Derivative asset pricing with transaction costs. Math. Finance. 2, 63–86 (1992) Black, F., Scholes, M.: The Pricing of Options and Corporate Liabilities. The Journal of Political Economy. 81, 637-65 (1973) Black, F., Derman, E., Toy, W.: A One-Factor Model of Interest Rates and Its Application to Treasury Bond Options. Financial Analysts Journal. 46 (1), 33-39 (1990) Blume, L. E., and Easley, D.: Rational Expectations Equilibrium: An Alternative Approach. Journal of Economic Theory. 34, 116–29 (1984) Borland, L.: A Theory of Non-Gaussian Option Pricing. arXiv:cond-mat/0205078 (2004) Britten-Jones, M., Neuberger, A.: Option Prices, Implied Price Processes, and Stochastic Volatility. The Journal of Finance. 55 (2), 839-866 (2000) Broadie, M., Detemple, J.: The Valuation Of American Options On Multiple Assets. Mathematical Finance. 7 (3), 241–286 (1997) Buryak,A. and I. Guo,: Effective And Simple VWAP Options Pricing Model, Intern. J. Theor. Applied Finance, 17, (6), 1450036, (2014) https://doi.org/10.1142/S0219024914500356 Busseti, E. and S. Boyd,: Volume Weighted Average Price Optimal Execution, 1-34, arXiv:1509.08503v1 (2015) Carmona, R., and Durrleman, V.: Generalizing the Black-Scholes formula to multivariate contingent claims. Journal of Computational Finance. 9(2), 43(2006) Choi, J.: Sum Of All Black-Scholes-Merton Models: An Efficient Pricing Method For Spread, Basket, And Asian Options. arXiv:1805.03172v1 (2018) Cohen, S.N. Tegner, M.: European Option Pricing with Stochastic Volatility models under Parameter, Uncertainty. arXiv:1807.03882v1 (2018) Cox, J.C., Ross, S.A.: The Valuation Of Options For Alternative Stochastic Processes. Journal of Financial Economics. 3, 145-166 (1976) Engle, R., Figlewski, S.: Modeling the Dynamics of Correlations among Implied Volatilities. Review of Finance. 19(3), 991-1018 (2014) Fetter, F.A.,: The Definition of Price. The American Economic Review, 2 (4), 783-813 (1912) Figlewski, S.: Derivatives Risks, Old and New. Brookings-Wharton Papers on Financial Services. I (1), 159-217 (1998) Frey, R.: Pricing and Hedging of Credit Derivatives via Nonlinear Filtering. Dep. Math., Univ. Leipzig (2008) Frey,R., Polte, U.: Nonlinear Black–Scholes Equations In Finance: Associated Control Problems And Properties Of Solutions. Siam J. Control Optim. 49 (1), 185–204 (2011) Greenwood, R., Shleifer, A.: Expectations of Returns and Expected Returns: The Review of Financial Studies. 27, 714–46 (2014) Guéant, O. and G. Royer,: VWAP execution and guaranteed VWAP, SIAM J. Finan. Math., 5(1), 445–471 (2014) Hansen, L.P., Sargent, T.J.: Formulating and Estimating Dynamic Rational Expectations Models. Cambridge, NBER (1979) Heston, S.L.: A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options. The Rev. of Fin. Studies. 6 (2), 327-343 (1993) Hull, J., White, A.: The Pricing Of Options On Assets With Stochastic Volatilities. The Journal Of Finance. 42 (2), 281-300 (1987) Hull, J.C.: Options, Futures and other Derivatives. 7th.ed. Englewood Cliffs, NJ: Prentice-Hall. (2009) Hull J. C., White, A.: The General Hull-White Model and Super Calibration. Financial Analysts Journal. 57 (6), 34-43 (2001) Keynes, J.M.: The General Theory of Employment, Interest and Money. London: Macmillan Cambridge Univ. Press. (1936) Kleinert, H., Korbel, J.: Option Pricing Beyond Black-Scholes Based on Double-Fractional Diffusion. arXiv:1503.05655v2 (2016) Kydland, F., Prescott, E.C.: A Competitive Theory of Fluctuations and the Feasibility and Desirability of Stabilization Policy. In Rational Expectations and Economic Policy. Edited by S. Fisher. Cambridge, NBER, 169–98 (1980) Li, M., Deng, S., Zhou, J.: Multi-asset Spread Option Pricing and Hedging. Quantitative Finance. 10 (3), 305–324 (2010) Loeper, G.: Option Pricing With Linear Market Impact and Nonlinear Black–Scholes Equations. The Annals of Applied Probability. 28 (5), 2664–2726 (2018) Lucas, R.E.: Expectations and the Neutrality of Money. Journal of Economic Theory. 4, 103–24 (1972) Manski, C.: Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise. Cambridge, NBER. (2017) Merton, R.: Theory of Rational Option Pricing. The Bell Journal of Economic and management Sci. 4, 141-183 (1973) Merton, R. C.: Applications of option-pricing theory: twenty years later. Nobel Lecture (1997) Muth, J.F.: Rational Expectations and the Theory of Price Movements. Econometrica. 29, 315–35 (1961) Olkhov, V.: On Economic space Notion. International Review of Financial Analysis. 47, 372-381 (2016a) Olkhov, V.: Finance, Risk and Economic space. ACRN Oxford Journal of Finance and Risk Perspectives. 5, 209-221 (2016b) Olkhov, V.: On Hidden Problems of Option Pricing. https://ssrn.com/abstract=2788108 (2016c) Olkhov, V.: Financial Variables, Market Transactions, and Expectations as Functions of Risk. Int. J. Financial Stud. 7, 66; 1-27. doi:10.3390/ijfs7040066 (2019) Padungsaksawasdi, C., and R. T. Daigler,: Volume weighted volatility: empirical evidence for a new realized volatility measure, Int. J. Banking, Accounting and Finance, 9, (1), 61-87 (2018) Poon, S.H.: A Practical Guide to Forecasting Financial Market Volatility. J.Wiley & Sons Ltd, The Atrium. England (2005) Rapuch, G., Roncalli, T.: Some remarks on two-asset options pricing and stochastic dependence of asset prices. Journal of Computational Finance. 7(4), 23-33 (2004) Saikat, N.: Pricing and hedging index options under stochastic volatility: an empirical examination. WP 96-9, Federal Reserve Bank of Atlanta. Atlanta, GA (1996) Sargent, T.J., Wallace, N.: Rational Expectations And The Theory Of Economic Policy. Journal of Monetary Economics. 2, 169-183 (1976) Scholes, M.S.: Derivatives in Dynamic Environment. Nobel Lecture. (1997) Sircar, R., Papanicolaou, G.: General Black-Scholes models accounting for increased market volatility from hedging strategies. Appl. Math. Finance. 5,45–82 (1998) Shiryaev, A.N.: Essentials of Stochastic Finance: Facts, Models, Theory. World Sci. (1999) |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/103601 |
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Classical Option Pricing and Some Steps Further. (deposited 29 Apr 2020 07:26)
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