Abstract
A reliable method of options pricing in real time would help various players, including hedgers and speculators, to make informed decisions. In this study, we develop an extensive simulation with multiple business environments, which includes the use of real data from the S&P 500 Index between the years 2010–2017 for the 30 days prior to expiration of the options. Forecasted tradability is computed based on the SH model: a theoretical model of real-time options pricing that takes into account players’ heterogeneity with regard to their willingness to accept offers proposed by the opposing player. The quality of the model is examined for the scenario in which the model players are speculators who act against the real market prices. We show that the equilibrium prices predicted by the SH model are close to the market prices (a deviation of up to approx. 3%) in an In-The-Money environment. Additionally, the tougher the players (i.e., the greater their level of unwillingness to accept a bid from the opposing player), the higher the average tradability. We also find that the level of willingness of the players has a greater effect on tradability than does option moneyness or the market trend.
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Appendices
Appendix A: Modeling parameters
Table A.1 shows the values of the main parameters characterizing the trading floor that were used in the simulation runs.
Appendix B: Pseudo-code
Table B.1 briefly describes the simulation steps characterizing the trading mechanism of the SH model.
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Shvimer, Y., Herbon, A. Tradability, closeness to market prices, and expected profit: their measurement for a binomial model of options pricing in a heterogeneous market. J Econ Interact Coord 15, 737–762 (2020). https://doi.org/10.1007/s11403-019-00259-0
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DOI: https://doi.org/10.1007/s11403-019-00259-0