Noura Metawa

Noura Metawa
University of Sharjah | US · College of Business

PhD

About

46
Publications
20,932
Reads
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756
Citations
Introduction
Assistant professor of Finance with a demonstrated history of working in the Higher Education Industry. A skilled researcher who freshly applies Artificial Intelligence (AI) modeling techniques and methodologies into banking, finance and economics research. Qualified in analytical skills, leadership, lecturing, risk management, etc. Earned my Masters and Ph.D. in Financial Economics from University of New Orleans in the United States of America.
Additional affiliations
August 2018 - present
Regis University
Position
  • Professor (Assistant)
May 2016 - July 2018
University of New Orleans
Position
  • Research Assistant
November 2012 - January 2014
Mansoura University
Position
  • Research Assistant

Publications

Publications (46)
Article
Full-text available
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...
Article
Full-text available
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...
Article
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...
Article
Full-text available
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...
Article
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...
Article
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
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...
Article
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...
Article
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...
Article
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...
Article
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...
Article
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...
Article
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...
Article
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...
Article
Full-text available
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...
Article
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...
Article
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...
Article
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....
Article
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...
Article
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...
Article
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...
Article
Full-text available
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...
Cover Page
Full-text available
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...
Article
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...
Cover Page
Full-text available
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
Book
Full-text available
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...
Conference Paper
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...
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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...

Questions

Question (1)
Question
What is Regenerative Finance?

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Projects

Projects (5)
Project
This book aims to present a collection of high-quality book chapters on the state-of-the-art in the AI Big Data analysis for financial risk management applications. We are soliciting original contributions that have not been published and are not currently under consideration by any other journals. Both theoretical studies and state-of-the-art practical applications are welcome for submission. All submitted chapters will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this book. This book (AIFRM) introduces the students and aspiring practitioners to the subject of destination marketing in a structured manner. It is primarily intended to researcher students in finance and intelligent big data applications (including intelligent information systems, smart economics and finance applications, and the internet of things in the marketing environment). Academics in higher education institutions including universities and vocational colleges, small business owners, tourism and hospitality consultants, non-profit organizations, policymakers, and legislators. AIFRM-2021 Book will be published by April 2021 by Routledge, an imprint of Informa UK Limited trading as Taylor and Francis Group. https://easychair.org/conferences/?conf=aifrm2021
Project
Call for Book Chapter ---------------------------------- Expert Systems: Smart Financial Applications in Big Data Environments To be Published by Taylor& Francis ====================================== Scope: 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 systems have successfully treated qualitative issues including financial analysis, investments advisories, and knowledge based decision support systems. Due to the increase in financial applications size, complexity and the number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emerging of new engineering research areas is a clear evidence of the emergence of new demands and requirements of modern real-life applications to be more intelligent. Recently, expert systems with explanation for decision making can achieve a high accuracy rate to support financial institutions in a highly volatile climate. It is being promoted by the software engineering community to use such systems as the adequate solution to handle the current requirements of complex big data processing problems that demanding distribution, flexibility, and robustness. The main objective of this book is to provide an exhaustive review on the roles of expert systems in financial sectors with special reference to big data environments. In addition, it aims to provide a collection of high quality research works that address broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. We invite colleagues to contribute original book chapters that will stimulate the continuing effort on the application of the intelligent systems that leads to solve the problem of big data processing in a smart banking and financial environment. We invite all researchers and practitioners who are developing algorithms, systems, and applications, to share their results, ideas, and experiences. Submission Guidelines ---------------------------------- Submitted manuscripts should conform to the standard guidelines of the Taylor & Francis book chapter format. Manuscripts must be prepared using Latex, or MS Word. Prospective authors should submit their manuscripts electronically through easychair submission system or email through this email: [ Mohamed_elhoseny@mans.edu.eg , Mohamed.elhoseny@unt.edu] Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. List of Topics ----------------------- Intelligent Algorithms in Finance Big data analysis in financial applications. Internet of Things (IoT) Application in Financial management Intelligent Investment Advisory Optimization Algorithms for portfolio selection Expert systems in banking management Smart models of strategic financial planning Decision Support Systems in financial domains Secure data processing in financial applications Smart applications of forint exchange trading Big Data Economy, QoS and Business Models Big Data analytics for customer value creation. Evolutionary Computing Algorithms for Financial Applications Swarm Intelligence for Business Applications Genetic Algorithm for Business Applications Big Data Quality and Management for Business Applications Financial Analysis for Mobile and Cloud Applications Business Intelligence Applications for Finance Customer Segmentation or Profiling Utility-Based Data Mining in Business Applications Intelligent Distributed Applications in E-Commerce, E-Health, E-Government Volume Editors -------------------------- Prof. Aboul Ella Hassanien: Faculty of Computers & Information, Cairo University, Egypt, Aboitcairo@gmail.com Prof. M. Kabir Hassan: Department of Economics and Finance, University of New Orleans, USA, mhassan@uno.edu Dr. Mohamed Elhoseny: Faculty of Computers and Information, Mansoura University, Egypt, Mohamed_elhoseny@mans.edu.eg Dr. Noura Metawa: Department of Economics and Finance, University of New Orleans, USA, nsmetawa@uno.edu Publication ESSFA2018 will be published by series on Money and Banking by Taylor & Francis Contact ---------------- All questions about submissions should be emailed to mohamed_elhoseny@mans.edu.eg or mohamed.elhoseny@unt.edu
Project
Special Issue Information Dear Colleagues, In order to reduce the risk of human mistakes in financial domains, expert systems have gained a great advantage in big data environments. In addition to their efficiency in quantitative analyses, such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues, including financial analysis, investments advisories, and knowledge-based decision support systems. Due to the increase in financial application sizes, complexity and the number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emerging of new engineering research areas is a clear evidence of the emergence of new demands and requirements of modern real-life applications to be more intelligent. Recently, expert systems with explanation for decision making can achieve a high accuracy rate to support financial institutions in a highly volatile climate. It is being promoted by the software engineering community to use such systems as the adequate solution to handle the current requirements of complex big data processing problems that demanding distribution, flexibility, and robustness. The overall aim of this Special Issue is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of expert systems for business intelligence and big data analytics in financial applications. Proposed submissions should be original, unpublished, and have novel in-depth research that makes significant methodological or application contributions. Dr. Mohamed Elhoseny Dr. Xiaohui Yuan Prof. Dr. M. Kabir Hassan Dr. Noura Metawa Guest Editors Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Keywords Business Intelligence Applications Intelligent Distributed Applications in E-Commerce, E-Health, E-Government Big data analysis in real life business applications Utility-Based Data Mining in Business Applications Internet of Things (IoT) Application in Financial management Intelligent Investment Advisory Expert systems in banking management Smart models of strategic financial planning Decision Support Systems Secure data processing in business applications Smart applications of forint exchange trading Big Data Economy, QoS and Business Models Big Data analytics for customer value creation. Evolutionary Computing Algorithms for Financial Applications Swarm Intelligence for Business Applications Genetic Algorithm for Business Applications Big Data Quality and Management for Business Applications Financial Analysis for Mobile and Cloud Applications Business Intelligence Applications for Finance Customer Segmentation or Profiling