Study of Using Applications of Artificial Intelligence in Performance of Financial Markets

In an attempt to revive the stock market in Egypt and revitalize it to fulfill its developmental role, the Egyptian government has pursued a program of economic and financial reform aimed at improving the regulatory environment for the work of that market and removing all restrictions on foreign exchange transactions for foreign investors on the Egyptian Stock Exchange, so this program allowed free movement of entry and exit of the heads Money without any restrictions. Despite differing opinions about the freedom of movement of capital, however

The Lagged Effect of Advertising Expenditures on the Financial Measures of Brand Equity in the Egyptian Context

This research intends to fill the gap in the literature by studying the impact of lagged real advertising expenditures on different perspectives of brand equity in the Egyptian context, which are: Firm-based and Market-based brand equity. The research follows the quantitative research-based approach, with the descriptive explanatory method. Secondary data was collected from firms’ financial reports of sixteen sectors for the period 2013 - 2020 to consider the effect of real advertising expenditures on firm-based and market-based brand equity models. Data was collected from 168 listed companies in the Egyptian stock exchange market, after deleting the financial institutions. The unit of analysis was the corporate brands and data collected was panel data analyzed using Eviews program – version 10, using GLS regression. Results showed that market risk significantly moderates the relationship between advertising expenditures and Firm-based and Market-based brand equity.

The Kumaraswamy Lindley Regression Model with Application on the Egyptian Stock Exchange

We introduce and study the Kumaraswamy Lindely Distribution (KLD) model, which has increasing, decreasing, upside-down bathtub and bathtub shaped hazard functions.. We perform a Monte Carlo simulation study to assess the finite sample behavior of the maximum likelihood estimates of the parameters. We define a new regression model based on the new distribution. The new regression was applied to data from the Egyptian stock exchange in the period of (2015-2019). Finally, we study some properties of regression Residual analysis The martingale residual, Deviance component residual.

Financial efficiency of commercial banks listed in Egyptian stock exchange using data envelopment analysis

PurposeThis study used data envelopment analysis (DEA) models to measure financial efficiency of twelve commercial banks listed in the Egyptian stock exchange (CBLSE), along with evaluating changes to the financial efficiency during the period 2017–2019.Design/methodology/approachThe study used BCC-I, cross-efficiency, super-efficiency models, and Malmquist productivity index (MPI) to assess financial efficiency of the examined banks. The available data from both inputs and outputs were analyzed using R. studio V.I.3. 1056 software.FindingsOut of twelve banks examined, only four banks were efficient under BCC-I model over different years of the study period; however, only one bank (CIB) appeared to be the most efficient compared to other peers in the study sample. Moreover, MPI results revealed decreased financial efficiency during the study period, due to the decreased technological innovation, except for HDB. Tobit regression results confirmed that total assets and total equity are significant factors impacted financial efficiency of CBLSE.Practical implicationsThis study sheds light on the importance of evaluating financial efficiency of CBLSE to all stakeholders, to pinpoint weaknesses in banks' performance, and for evaluating financial policies and investment decisions.Originality/valueSeveral studies sought to implement different models of DEA to assess banking performance in different regions of the world, but very few studies examined financial efficiency of banks. To the best of authors’ knowledge, this study is one of those few that addressed financial efficiency of banks in Egypt.

Maximizing Stockholder Wealth under Corporate Governance Mechanisms: Evidence from EGX

The study dealt the corporate governance mechanisms (CGM) to achieve the goal of maximizing stockholder wealth. That under the dividend decision is the crux of the agency problem. A quantitative sample of 15 companies listed on the Egyptian Stock Exchange for the period from 2005 to 2019. According to the quantitative analysis, the interpretation rate of corporate governance mechanisms is 60.97% of maximizing stockholder wealth in the Egyptian business environment. While the qualitative analysis included 417 individuals that have been examined according to a survey (questionnaire). The results concluded that there is a significant difference in the attitudes of stakeholders towards the role of CGM in determining dividend decision.

The effect of financial literacy on behavioral biases of individual investors in the Egyptian stock exchange

The purpose of this paper is to examine how the dimensions of financial literacy could affect the behavioral biases of individual investors in the Egyptian stock exchange. The study examines the data collected from 403 individual investors in Egypt. The findings revealed the presence of some kinds of behavioral biases among individual investors in the Egyptian stock exchange, which could be categorized into three main categories: belief perseverance biases, information processing biases, and emotional biases (Pompian, 2012). This supports the view that individual investors do not necessarily act rationally. The findings also support the general view that financial literacy has a negative effect on behavioral biases; however, the effect differs between the categories of the behavioral biases, with the most effect on information processing biases, moderate effect on belief perseverance biases, and low effect on emotional biases. Also, this study indicated that the impact of financial literacy on behavioral biases is greater on females than males (Baker, Kumar, Goyal, & Gaur, 2019). Financial intermediaries and consultants can possibly become more effective by understanding the decision-making processes of individual investors. This study adds to the limited academic research that attempted to tackle the impact of financial literacy on the categories of behavioral biases