This paper optimally solves the portfolio selection problem that consists of multi assets in a continuous time period to achieve the optimal trade-off between multi-objectives. In this paper, the Stochastic Goal Mixed Integer programming of Stoyan (2009) is extended. The empirical contributions of this research presented on extending the SGMIP model by adding information as a new factor that selects the portfolio elements. The information element used as a portfolio managing characteristics to see whether it is applicable for different problems. The data was collected on a daily basis for all the parameters of the individual stock. Brownian motion formula was used to predict the stock price in the future time period. SP framework used to capture numerous sources of uncertainty and to formulate the portfolio problem. The main challenge of this model is that it contains additional real-world objective and multi types of financial assets, which form a Mixed Integer Programming (MIP). This large-scale problem solved using Optimising Programming Language (OPL) and decomposition algorithm to improve the memory allocation and CPU time. A fascinating result was obtained from the portfolio algorithm design. The ESGMIP portfolio outperforms the Index portfolio return. Under uncertain environment, the availability of information rationalized the diversity when the dynamic portfolio invested in one financial instrument (stocks), and tend to be diversifiable when invested in more than one financial instrument (stock and bond). This work presents a novel extended SGMIP model to reach an optimal solution.

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Financial statements and the fact that many investors depend on the most critical outputs of the auditing quality. We documented the impact of audit quality as measured by audit firm size, tenure, fees, and firm experience on the stock prices and the liquidity of stock companies listed on the Amman Stock Exchange (ASE). The research adopted the deductive approach considering the least squares dummy variable approach following Pham et al. (2020), Sumiadji et al. (2019), Ugwunta et al. (2018), and Al-Thuneibat et al. (2011) to study the relationship between time-varying predictors and outcomes of 185 shareholding companies listed on ASE from 2016 to 2020. The characteristics of an audit firm vary in their effects on both the stock price and the liquidity. Management of the listed companies should be discussed to address the barriers that limit the impact of audit quality on the reliability of information associated with financial statements aiming to reduce information asymmetry and boost investor confidence, and then the share price should rise, and smaller audit firms should be encouraged to perform more specific audit assignments.

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