Designing Utilizing Rules for Corporate Transparency of Listed Issuers in Tehran Stock Exchange(TSE)

Corporate transparency is one of the key subjects in stock market transparency. Securities and Exchange Organization (SEO) uses punishment and punishing rules to increase market transparency but this approach is somehow minimalistic and traditional while using utilizing rules as a modern approach creates great improvement in Tehran Exchange Market transparency. In this paper utilizing rules designed and extracted from legal documents and Agent based Simulation predicted number of transparent corporations in ten years of simulation with top ten rule with stochastic rules. Simulation model simulated for 10 times and Results Showed that with implementation of each top ten rule 13 to 27 percent of corporations expose their information voluntarily without any force in the market. 41 to 68 percent of corporations will be transparent if all the top ten rules implemented. The results showed that using utilizing and persuasive approach with punitive approach can create great improvement in market transparency.