Noura Metawa

• PhD
• Professor (Assistant) at University of Sharjah

To avoid the complexity and time consumption of traditional statistical and mathematical programming, intelligent techniques have gained great attention in different financial research areas, especially in banking decisions’ optimization. However, choosing optimum bank lending decisions that maximize the bank profit in a credit crunch environment i...

Financial mathematics, an interdisciplinary subject between mathematics and finance, is the application of mathematics in the financial field, which carries mainly out the quantitative analysis and research of financial issues by mathematical theories and methods. The idea of financial mathematics is adopted to study investment. First of all, an in...

Financial performance evaluation is very significant for manufacturing industries in a competitive environment to achieve investment goals, especially increasing revenue. Financial performance measures must be identified accurately, because the evaluation process reflects the effectiveness of a company. The purpose of this article is to present a p...

This research investigates how Egyptian investor sentiment affects cryptocurrency returns, focusing specifically on Bitcoin. We utilized an enhanced investor sentiment index in Egypt, constructed through factor analysis of various literature-based variables. Our study's findings revealed a notable positive correlation between the investor sentiment...

This research delves into the influence of leverage considering potential outcomes within operational funds concerning the fiscal implications of the energy industry within the middle east and north Africa region. The research employed an empirical approach by collecting secondary data from the MENA region's energy sector between 2018 and 2022. To...

Purpose This paper deeply investigates the herd behavior of the Egyptian mutual funds under changing and different conditions of the market pre- and post-events and compares the impact of asymmetric risk conditions on the herding behavior of the Egyptian mutual funds in both up and down markets. Design/methodology/approach We test for the existenc...

This article presents our research effort to explore the convergence of sustainable banking practices and predictive modeling for bank loan defaults, with a primary emphasis on addressing the pressing need for resilient financial systems. To this end, an applied methodology is presented in this study to model bank loan defaults, emphasizing the inc...

This study explores the integration of machine learning methodologies in stock analysis to enhance the understanding of the relationship between sustainable business practices and financial performance. Against the backdrop of a shifting investment landscape that emphasizes responsible and informed decision-making, our research addresses the need f...

In the era of green finance and sustainable energy markets, preserving the integrity of financial statements is paramount. This paper introduces an innovative approach to financial statement fraud detection through the application of deep learning techniques. We employ a Temporal Convolutional Network (TCN) to analyze stock market data and identify...

This article investigates potential direct and indirect impact of National Bank of Egypt (NBE) digitalization and its financial inclusion on credit risk. The methodology used in the study is an empirical technique through the collection of secondary data from the period between 2011 and 2021 in the Egyptian banking sector. To accomplish this, the s...

Financial management is an important part of enterprise management, which directly affects the operation and development of enterprises. Attention must be paid to financial management. Industrial financial management data processing can effectively improve the quality and efficiency of enterprise financial management and ensure the long-term and st...

The technology of the system is .Net. It has the advantages of low requirement for client and good expansibility. The whole system is flexible and efficient. The main work of this paper is the system analysis of the financial management system, and based on the system analysis, puts forward the overall business objectives of the financial managemen...

FinTech marketing education poses unique challenges that require new research directions. The constantly-evolving nature of the industry, coupled with the need to keep pace with technological advancements, demands an innovative approach to curriculum design and evaluation. Traditional education methods may not be sufficient to prepare students for...

In response to the evolving dynamics of corporate responsibility, this research explores the integration of Environmental, Social, and Governance (ESG) factors in sustainable business modeling. The study addresses the pressing need for a strategic framework by delving into the complex interplay between ESG considerations and risk score analysis. Le...

The connection between the green economy, technology, and finance has recently become a popular topic for analyzing economic and policy matters. Financial technology can provide not only an opportunity to tap into new pools of private capital to finance green and sustainable projects through innovative financial instruments but also provide support...

Global crises such as the COVID-19 pandemic and other recent environmental, financial, and economic disasters have weakened economies around the world and marginalized efforts to build a sustainable economy and society. Financial crisis prediction (FCP) has a significant impact on the economy. The growth and strength of a country's economy can be g...

Predicting bankruptcies and assessing credit risk are two of the most pressing issues in finance. Therefore, financial distress prediction and credit scoring remain hot research topics in the finance sector. Earlier studies have focused on the design of statistical approaches and machine learning models to predict a company's financial distress. In...

Recently, bitcoin-based blockchain technologies have received significant interest among investors. They have concentrated on the prediction of return and risk rates of the financial product. So, an automated tool to predict the return rate of bitcoin is needed for financial products. The recently designed machine learning and deep learning models...

At present, the focus of marketing research is mostly on the influencing factors, composition, and measurement of brand equity. The meta-combined brand equity analysis is based on two main research perspectives: financial perspective and customer perspective. While the financial perspective is based on the incremental discounted future cash flows t...

Nowadays organizations seeking to apply the concept of logistics cooperated, in another way cooperating all functions into a single string, starting with the acquisition of materials until after sales service. And in a competitive environment, all organizations are also sought to create a good image in the minds of customers. Therefore, these have...

Financial organizations can no longer ignore the problem of managing risk. As a component of the financial system, efficient Financial Risk Management (FRM) may significantly affect business results. These findings show that the triangular neutrosophic numbers simulate capital asset key metrics. Performance metrics for capital assets may be modeled...

Stock exchanges are developed as an essential component of economies, as they can promote financial and capital gain. The stock market is network of economic connections where share is bought and sold. Stock Market Prediction (SMP) is quite useful to investors. An effective forecast of stock prices is offer shareholders with suitable help in making...

Despite the fact that many countries around the world have adopted green growth as their strategy for economic development and those studies have investigated the factors that influence green growth from a variety of perspectives in sustainable smart cities, there is a paucity of literature that focuses on the impact that fintech and green finance...

With accelerating global economic integration processes, the financial risk early warning requirements for companies are becoming higher and higher. This study discusses the financial risk evaluation Z-Score Model for intelligent IoT-based enterprises. The financial risk early warning system of an IoT company is made up of four parts: alarm source...

Purpose This paper aims to provide insights regarding the state of the art of digital transformation for small- and medium-sized enterprises (SMEs) in Egypt and propose avenues for future research. Design/methodology/approach A proposed framework for the digitization process in SMEs is developed by providing three layers of working steps toward fu...

At present time, an effective tool becomes essential to forecast business failure as well as financial crisis on small- to medium-sized enterprises. This article presents a new optimal feature selection (FS)-based classification model for financial crisis prediction (FCP). The proposed FCP method involves data acquisition, preprocessing, FS, and cl...

The financial stock market is highly complex, nonlinear and uncertain, which makes it difficult to predict price fluctuation. With the advent of the era of artificial intelligence, a variety of intelligent optimization algorithms are constantly applied to the prediction of the stock market. The purpose of this study is to use a support vector machi...

With the development of information technology, intelligent control technology is the comprehensive application of modern management techniques and methods. This paper mainly studies the intelligent financial decision support system based on data mining. This paper mainly introduces data mining technology, an intelligent financial decision support...

At present times, financial decisions are mainly based on the classifier technique, which is utilized to allocate a collection of observations into fixed groups. A diverse set of data classifier approaches were presented for forecasting the financial crisis of an institution using the past data. An essential process toward the design of a precise f...

Call for Special Issue Journal: “Information” an MDPI Journal. The journal is listed in Scopus (CiteScore: 2.4) and in the Web of Science Core Collection: Emerging Sources Citation Index. Deadline: 30 September 2021 Submission Link: https://www.mdpi.com/journal/information/special_issues/Fighting_Financial_Crime Artificial intelligence, machine...

Stock market direction prediction becomes an essential task in the business sector. The inherent volatile behavior of stock markets worldwide makes the prediction process difficult. The improvement in the prediction accuracy of the stock market direction prediction helps to avoid the risks involved in the investment process. In this aspect, this st...

Internet financial risk prevention is an important area for financial risk prevention. In recent years, a series of vicious high-risk events, such as cash lending and P2P platform running, have caused a great negative impact on the reputation of the Internet financial industry, which has aroused great concern from all walks of life. Based on big da...

Financial risk assessment becomes a hot research topic among financial firms or companies to assess the financial status and thereby avoid future crises. Earlier studies have focused on statistical models for the assessment of financial risks and the recently developed machine learning (ML) models find useful to improve the assessment performance....

In banking sectors, telemarketing is the major support of selling the products or services. Banking advertisement and marketing are mainly depending upon the comprehensive knowledge of objective data regarding the market and the actual client requirements for the bank gainful way. Decision Support Systems (DSS) play a vital part in telemarketing se...

Cloud computing technology has the characteristics of low investment costs, strong reliability, flexible expansion, and on-demand services, which can greatly reduce the application threshold of enterprise financial informatization construction, improve the return on investment of informationization, and flexibly adapt to the needs of different stag...

There are still some errors and instabilities in futures analysis. In order to improve the accuracy of prediction, this study combines image processing technology and applies image processing technology to interest rate wireless to construct a static model based on image processing. The necessary conditions for no arbitrage are realized by adjustin...

Predictive modeling plays a pivotal role in enhancing supply chain financial optimization by accurately forecasting business demand. This study investigates the efficacy of employing Gradient Boosting Decision Trees (GBDT) as a predictive modeling technique for precisely forecasting business demand within the context of supply chain management. Lev...

Financial crisis prediction (FCP) plays a vital role in the economic phenomenon. The precise prediction of the number and possibility of failing firms acts as an index of the growth and strength of a nation’s economy. Traditionally, several methods have been presented for effective FCP. On the other hand, the classification performance and predicti...

Knowledge-based decision support systems for financial management are an important part of investment plans. Investors are avoiding investing in traditional investment areas such as banks due to low return on investment. The stock exchange is one of the major areas for investment presently. Various non-linear and complex factors affect the stock ex...

19 TOPIC OF THE SPECIAL SESSION Entrepreneurial firms are the backbone of economies and drivers of both economic developments and employment. Young and innovative entrepreneurial firms are germane to the creation, development, and growth of new technologies, industries, and markets and create the most jobs. Yet, these firms often need considerable...

Purpose This paper aims to investigate the relationship between investors’ demographic characteristics (age, gender, education level and experience) and their investment decisions through behavioral factors (sentiment, overconfidence, overreaction and underreaction and herd behavior) as mediator variables in the Egyptian stock market. Design/meth...

Special Issue "Expert Systems: Applications of Business Intelligence in Big Data Environments" Special Issue Editors Special Issue Information Keywords Published Papers A special issue of Sustainability (ISSN 2071-1050). Deadline for manuscript submissions: 30 September 2018

Expert Systems: Smart Financial Applications in Big Data Environments In order to reduce the risk of human mistakes in financial domains, expert systems have gained a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert syste...

The relation between investor protection and investment efficiency in foreign multinationals is largely unexplored. Recognizing this relation is especially important in light of the surge in cross-border activity in recent decades and the potential effect of cross-border investment on a country’s economic development. In this paper we test large sa...

With the increasing impact of capital regulation on banks financial decisions especially in competing environment with credit constraints, it comes the urge to set an optimal mechanism of bank lending decisions that will maximize the bank profit in a timely manner. In this context, we propose a self-organizing method for dynamically organizing bank...

Despite the great efforts to assure quality in higher education institutions, the ambiguity of its related concepts and requirements constitute a big challenge when trying to implement it as an automated information system. The present work introduces a framework for an automated information system that manages the quality assurance in higher educa...

Behavioral finance attempts to explain and increase understanding of the reasoning patterns of investors, including the emotional processes involved and the degree to which they influence the decision making process. In this paper we identify the relationship between behavioral factors and investors investment decisions in the Egyptian Stock Market...