Multi-factor Analysis of Option Pricing (BSM) and Prediction of Pricing Direction Under the Convergence of Phenomenal Worlds

Abstract

In the development involving options pricing, models with data-based predictions of future volatility at their core have dominated, with their inclusion of elements such as implied volatility and the implication of Brownian motion, normal distributions under a variety of programmatic analyses acting to generate range values, structuring models that are evidence of the gradual formation of pricing concepts as trading researchers uncover predictions of asset values, and surfacing impediments to moving their pricing ranges to specificity. The development of the BSM is widely regulated by the mutual proximity between the acceptance of the model concept by traders in this period and the degree of sophistication in dealing with limited rationality. Facilitating efficient control of options markets and outlining later pricing directions. The initial understanding of the various interpretations of finite and infinite rationality of information, influenced by the complexity of specific value manipulation. The extension of uncertainty in its role generates the form of the scientific matrix of opposing terms - related phenomenal world concepts, regulated by the role of complex financial markets (the scientific matrix brought by the economists at the beginning of the market development contains its pricing model development), embodied by the transfer of the phenomenal world. The alternative phenomenal world model formed by the extension will be justified by considering the integration of feedback with external financial markets.