Semiclosed Pricing Mechanism

TL;DR

This paper develops a semi-closed stock market model incorporating news, demand, and supply, modifying classical pricing theories to analyze investor behavior and return distributions.

Contribution

It introduces a novel modified pricing mechanism that integrates news feedback and investor behavior in a semi-closed market setting.

Findings

Modified pricing equation adapts to semi-closed market conditions

Investor behavior varies with news and external influences

Return distributions can be modeled as rational or irrational trajectories

Abstract

This paper aims at designing the different important components of a semi-closed simulated stock market (pricing mechanism, stock allocation and news generation). The purpose is to understand the interactions of the different aspects within a 'semi-closed' system. The complexity and nature of the system led to the process of modifying the pricing mechanism which is viewed from a different angle to the classical Brownian Motion and the Random Walk model. However, it incorporates the essence of these two fundamental theories and then investigates the matrix of investors' behaviours in relation to news feedbacks. This paper also explores the realm of randomly generated news to the responses of participants to determine rational and irrational behaviours. This is carried out through uncompressing the time within the experiment and looking at concordant and disconcordant behaviour. The focus is on how the modified pricing equation adapts to the conditions and uniqueness surrounding a semi-closed stock market. Thus, this paper looks at how a simple market system where the main determinants of share prices are news, demand and supply along with some filtering of the external forces can affect the behaviours of investors in terms of their portfolio composition. The return distributions can then be stipulated as arising from rational or irrational trajectories and subsequently be simulated and matched via the proposed modified Brownian Motion model to empirical return distributions in specific time periods and markets.