Assessment of Contingent Liabilities for Risk Assets Evolutions Built on Brownian Motion
- 1 Bogolyubov Institute for Theoretical Physics of NAS of Ukraine, Kyiv, Ukraine
Abstract
This paper is a generalization of the results of the previous papers. Using these results a class of evolutions of risk assets based on the geometric Brownian motion is constructed. Among these evolutions of risk assets, the important class of the random processes is the random processes with parameters built on the basis of the discrete geometric Brownian motion. For this class of random processes the interval of non-arbitrage prices are found for the wide class of contingent liabilities. In particular, for the payoff functions of standard options call and put of the European type the fair prices of super-hedge are obtained. Analogous results are obtained for the put and call of arithmetical options of Asian type. For the parameters entering in the definition of random process the description of all statistical estimates is presented. Statistical estimate for which the fair price of super-hedge for the payoff functions of standard call and put options of European type is minimal is indicated. From the formulas found it follows that the fair price of super-hedge can be less than the price of the underlying asset. In terms of estimates the simple formula for the fair price of super-hedge is found. Every estimates can be realized in the reality. This depends on the distribution function of the observed dates in the financial market.
- Gonchar, N.S. (2019) Description of Incomplete Financial Markets for Time Evolution of Risk Assets. Advances in Pure Mathematics, 9, 567-610. https://doi.org/10.4236/apm.2019.96029
- Eberlein, E. and Jacod, J. (1997) On the Range of Option Price. Finance and Stochastics, 1, 131-140. https://doi.org/10.1007/s007800050019
- Bellamy, N. and Jeanblanc, M. (1999) Incompleteness of Markets Driven by Mixed Diffusion. Finance and Stochastics, 4, 209-222. https://doi.org/10.1007/s007800050012
- Gonchar, N.S. (2008) Mathematical Foundations of Information Economics. Bogolyubov Institute for Theoretical Physics, Kiev.
- Gonchar, N.S. (2015) Mathematical Model of Banking Operation. Cybernetics and System Analysis, 51, 378-399. https://doi.org/10.1007/s10559-015-9730-0
- Gonchar, N.S. and Terentieva, L.S. (2008) Default Risk Valuation of the Firm with the Special Process of Internal Yield. Journal of Automation and Information Sciences, 40, 57-71. https://doi.org/10.1615/JAutomatInfScien.v40.i8.60
- Gonchar, N.S. (2017) Banking and Risk Assessment. In: Jerzy, K., Ed., Banking: Services, Opportunity and Risks, Nova Science Publisher, Inc., New York, Chapter 8.
- Kreps, D.M. (1981) Arbitrage and Equilibrium in Economics with Infinitely Many Commodities. Journal of Mathematical Economics, 8, 15-35. https://doi.org/10.1016/0304-4068(81)90010-0
- Harrison, J.M. and Kreps, D.M. (1979) Martingales and Arbitrage in Multiperiod Securities Markets. Journal of Economic Theory, 20, 381-408. https://doi.org/10.1016/0022-0531(79)90043-7
- Harrison, J.M. and Pliska, S.R. (1981) Martingales and Stochastic Integrals in the Theory of Continous Trading. Stochastic Processes and their Applications, 11, 215-260. https://doi.org/10.1016/0304-4149(81)90026-0
- Delbaen, F. and Schachermayer, W. (2006) The Mathematics and Arbitrage. Springer, Berlin.
- Dalang, R.C., Morton, A. and Willinger, W. (1990) Equivalent Martingale Measures and No-Arbitrage in Stochastic Securities Market Model. Stochastics and Stochastic Reports, 29, 185-201. https://doi.org/10.1080/17442509008833613
- Kramkov, D.O. (1996) Optional Decomposition of Super-Martingales and Hedging in Incomplete Security Markets. Probability Theory and Related Fields, 105, 459-479. https://doi.org/10.1007/BF01191909
- Follmer, H. and Kramkov, D.O. (1997) Optional Decomposition Theorem under Constraints. Probability Theory and Related Fields, 109, 1-25. https://doi.org/10.1007/s004400050122