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Policy Frameworks And Citizens’ Use Of Fintech Solutions: The Pros And Cons In Egypt, Salma Al-Mohamady 2024 American University in Cairo

Policy Frameworks And Citizens’ Use Of Fintech Solutions: The Pros And Cons In Egypt, Salma Al-Mohamady

Theses and Dissertations

This thesis provides a comprehensive analysis of the significant influence of financial technology (FinTech) on the banking industry, consumer finance, and economic growth. It specifically concentrates on the swiftly changing FinTech environment in Egypt. The study investigates the impact of incorporating advanced technologies on worldwide financial practices, which has significantly transformed traditional banking models and facilitated the emergence of inventive financial services. The transition is clearly apparent in Egypt, where the expansion of FinTech has been driven by advances in regulations, adaptation to technology, and a population that is becoming more comfortable with digital solutions.

Using a combination of quantitative …


2023 Community Bank Case Study Competition, Joseph Kelly 2024 University of Arkansas, Fayetteville

2023 Community Bank Case Study Competition, Joseph Kelly

Finance Undergraduate Honors Theses

We studied a community bank in Danville, Arkansas named Chambers Bank. This was part of a 2023 Community Bank Case Study Competition, which illustrated the financial analysis, staffing, and training of the bank. We learned about technology implemented into the bank, and how the bank works with customers locally to ensure the best quality care.


2023 Community Bank Case Study Competition, Alivia Brewer 2024 University of Arkansas, Fayetteville

2023 Community Bank Case Study Competition, Alivia Brewer

Finance Undergraduate Honors Theses

Study of Chambers Bank, located in Danville, Arkansas for the 2023 Community Bank Case Study Competition. This paper covers financial analysis, training and technology, as well as staffing.


Financial Characteristics Of Mobile Banking And Payment Users In The United States, Jordan Mitchell, Xiao Li, Doug Steel, Phillip Decker 2024 University of Houston Clear Lake

Financial Characteristics Of Mobile Banking And Payment Users In The United States, Jordan Mitchell, Xiao Li, Doug Steel, Phillip Decker

Journal of Global Business Insights

This study aims to examine the personal finance characteristics of mobile banking and mobile payment users in the United States. To achieve this goal, we used the 2018 National Financial Capability Study, which surveyed over 27,000 American adults regarding their personal financial standing and behaviors. By using ordinary least squares models, our results indicated that the use of mobile banking and mobile payment technology was associated with lower age, Non-White Ethnicity, higher income, higher debt load, debt types (auto, student, credit card, and predatory), and spending more than one’s income. These results reveal that the higher one’s income, financial liabilities, …


Is Esg A Determinant Of Banks’ Resilience And Growth Everywhere? A Response From An Ai-Aided Approach, Mohamed ELKLAWY 2024 American University in Cairo

Is Esg A Determinant Of Banks’ Resilience And Growth Everywhere? A Response From An Ai-Aided Approach, Mohamed Elklawy

Theses and Dissertations

There are many calls for banks to expand their contribution to the transition towards a sustainable world by sponsoring initiatives that promote the United National Sustainable Development Goals. This role is more materialized in developing countries as banks are the key source of funding; thus, they have the power of money to mutate the DNA of businesses to operate responsibly with respect to the surrounding environment and society. Various studies consider the reflection of adopting sustainable approaches by banks, though focusing on developed countries who took the initiative to lead this change. As the banks in developing countries try to …


Valuing Circularity: Sustainable Finance With Real Options Methodology, Mostafa Alloub 2024 American University in Cairo

Valuing Circularity: Sustainable Finance With Real Options Methodology, Mostafa Alloub

Theses and Dissertations

This thesis presents an enhanced framework for valuing circular investments based on the Value Hill model using real options analysis. We propose a new flexible numerical methodology for valuing circularity using the Least Squares Monte Carlo simulation (LSMC) method of Longstaff and Schwartz (2001). The Value Hill model of circularity represents the course followed by the value of an asset, specifically after primary use. To validate the efficiency of our model, we conduct an empirical study on the smartphone business using the case of Apple. Results of our empirical analysis show that investing in circularity enhances financial value. Our model …


What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan HUANG, Fuwei Jiang, Jiexun WANG 2024 EDHEC

What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang

Research Collection Lee Kong Chian School Of Business

This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in- and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.


Diverse Hedge Funds, Yan LU, Narayan Y. NAIK, Melvyn TEO 2024 University of Central Florida

Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

Hedge fund teams with heterogeneous educational backgrounds, academic specializations, work experiences, genders, and races, outperform homogeneous teams after adjusting for risk and fund characteristics. An event study of manager team transitions, instrumental variable regressions, and an analysis of managers who simultaneously operate solo- and team-managed funds address endogeneity concerns. Diverse teams deliver superior returns by arbitraging more stock anomalies, avoiding behavioral biases, and minimizing downside risks. Moreover, diversity allows hedge funds to circumvent capacity constraints and generate persistent performance. Our results suggest that diversity adds value in asset management. Authors have furnished an Internet Appendix, which is available on the …


An Examination Of The Determinants Of Ease Of Doing Business: Perspectives From World Economies, Omar ElDarawy 2024 American University in Cairo

An Examination Of The Determinants Of Ease Of Doing Business: Perspectives From World Economies, Omar Eldarawy

Theses and Dissertations

This thesis’ purpose is to explore the correlation between Ease of Doing Business sub-scores and the overall Ease of Doing Business score. The study includes a detailed quantitative study into the previously mentioned relationship. The Ease of Doing Business sub-scores comprise of scores representing starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts, and resolving insolvency. This is conducted via a series of diagnostic tests to identify an appropriate regression model. These tests include the Hausman Test, RESET Test, and Breusch-Pagan Test. Based on the tests, …


Microfinancing And Entrepreneurship In Cocoa Refinement In Côte D’Ivoire, Erin Soro 2024 Purdue University

Microfinancing And Entrepreneurship In Cocoa Refinement In Côte D’Ivoire, Erin Soro

The Journal of Purdue Undergraduate Research

No abstract provided.


An Examination Of The Impacts Of Macroeconomic Indicators On Conventional And Islamic Equity Fund Returns: Perspectives From The Mena Region, Amr Elshabouny 2024 American University in Cairo

An Examination Of The Impacts Of Macroeconomic Indicators On Conventional And Islamic Equity Fund Returns: Perspectives From The Mena Region, Amr Elshabouny

Theses and Dissertations

This study examines the performance of conventional and Islamic equity mutual funds in the MENA region, and the influence of major macroeconomic determinants on the two types, by analyzing 503 conventional and 128 Shariah-compliant funds. It incorporates three major macroeconomic variables using Generalized Linear Models (GLM). The findings indicate no significant superiority of Islamic funds over conventional ones. The study also notes that while market performance and foreign exchange rates positively affect both fund types, GDP growth and inflation have a negative impact. Islamic funds are less influenced by excess market returns, GDP growth, and inflation compared to conventional funds, …


Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung CHAN, Maria Teresa PUNZI, Hong ZHAO 2024 Singapore Management University

Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper aims to provide insights on the design of optimal subsidy policies to enhance energy security amidst energy disruptions triggered by geopolitical conflicts. We introduce a novel Markov switching dynamic stochastic general equilibrium (MS-DSGE) model to address the limitations of existing integrated assessment models in environmental evaluation. These models often fail to adequately consider the environmental and economic impacts of geopolitical conflicts and do not prioritize energy security sufficiently in policymaking. Our application of the MS-DSGE model to the Russia–Ukraine conflict reveals significant decreases in output, social welfare, and energy consumption during disruptions. The mere anticipation of an energy …


Market Reaction Test On Banks & Brokers Based On Bitcoin Price History. A Look At National Commercial Banks And Security Broker, Exchanges, And Service Stocks Following The Most Volatile Swings In Bitcoin’S Price., Payton Earl 2024 Claremont Colleges

Market Reaction Test On Banks & Brokers Based On Bitcoin Price History. A Look At National Commercial Banks And Security Broker, Exchanges, And Service Stocks Following The Most Volatile Swings In Bitcoin’S Price., Payton Earl

CMC Senior Theses

This paper examines if there is an inverse correlation between Bitcoin’s most volatile price swings and national commercial banks and security brokers, exchanges and service companies performance. Company performance in the dataset is measured by Cumulative Abnormal Returns during 2021 within a two-day period where Bitcoin has had the most significant uptick and downtick events. Using a market-adjusted model for my regression, it is concluded that Bitcoin’s largest uptick event did indeed have an inversely negative effect on traditional banks and trading securities companies, as the Cumulative Abnormal Returns were negative for my 107 observations and the event was statistically …


Monetary Policy, Macroprudential Policy, And Bank Risk-Taking Behaviour In The Indonesian Banking Industry, Cep J. Anwar, Nicholas Okot, Indra Suhendra, Dwi Indriyani, Ferry Jie 2024 Edith Cowan University

Monetary Policy, Macroprudential Policy, And Bank Risk-Taking Behaviour In The Indonesian Banking Industry, Cep J. Anwar, Nicholas Okot, Indra Suhendra, Dwi Indriyani, Ferry Jie

Research outputs 2022 to 2026

There is a growing consensus on the translation of monetary policy actions into changes in credit demand on account of changes in interest rates. The study investigates monetary policy, macroprudential policy, bank-specific and macroeconomic determinants of bank risk-taking from 2010–2022 in Indonesia. The study aims to address a gap in the literature because most previous studies have focused on advanced markets. First, three POLS and fixed effect models are estimated. However, the Durbin Wu-Hausman test indicated endogeneity issues with the estimated models. The second stage uses a system GMM estimation to investigate the impact of central bank rates and macroprudential …


Bio-Bust: Investigating Biotech Stock Factors Contributing To Abnormal Returns In The Wake Of Silicon Valley Bank's Failure, Spencer Kent 2024 Claremont Colleges

Bio-Bust: Investigating Biotech Stock Factors Contributing To Abnormal Returns In The Wake Of Silicon Valley Bank's Failure, Spencer Kent

CMC Senior Theses

Following the unprecedented collapse of Silicon Valley Bank (SVB) in March 2023, this study explores abnormal stock price reactions within the biotechnology sector. As the chosen financial institution for countless Silicon Valley-type technology and healthcare firms, SVB's failure had a profound impact on small to mid-sized biotech companies. Analyzing a dataset of 180 biotech firms during a two-day event window over SVB’s collapse, I investigate whether exposure to SVB, or other factors, was the primary contributor to negative abnormal stock price reactions, considering variables such as the percentage of cash held at SVB, whether a firm maintained an active SVB …


Activism Aftershocks: Looking Beyond The Short-Term Stock Surges Caused By Activist Hedge Fund Campaign Announcements, Zara Vakath 2024 Claremont Colleges

Activism Aftershocks: Looking Beyond The Short-Term Stock Surges Caused By Activist Hedge Fund Campaign Announcements, Zara Vakath

CMC Senior Theses

It is well known that firms targeted by activist hedge funds experience positive abnormal stock returns during the campaign announcement window. However, the link between these short-term returns and the impact to long-term target firm performance has not been established. In this study, I find essentially no link between the positive announcement window returns and long-term performance improvements, using a variety of different methods. I examine performance changes over time and also relative to a matched sample of firms that have not been targeted by activist hedge funds. Additionally, I assess the correlation between the magnitude of short-term abnormal stock …


Ai-Nvesting: An Empirical Analysis With Sector Categorization And Prompt Complexity Considerations Assessing The Predictive Power Of Chatgpt In Stock Market Forecasting, Ian J. Larson 2024 Claremont Colleges

Ai-Nvesting: An Empirical Analysis With Sector Categorization And Prompt Complexity Considerations Assessing The Predictive Power Of Chatgpt In Stock Market Forecasting, Ian J. Larson

CMC Senior Theses

Abstract

This paper investigates whether ChatGPT has any predictive power when it comes to the stock market. Since its public release in December 2022, OpenAI’s ChatGPT has become a popular tool for millions of users across the world. With new use cases being found every day, I explore whether the system has any utility at predicting where stock prices will go. Using a 10-year study window, I prompt ChatGPT to give U.S. equity picks on a one-year holding period basis, segregating its picks into 3 different category sizes across 8 directed prompts. I examine the 24 equal weight portfolios of …


Ceo Characteristics That Lead To Extreme Outperformance: A Statistical Analysis Of William Thorndike’S “The Outsiders”, William Turner 2024 Claremont Colleges

Ceo Characteristics That Lead To Extreme Outperformance: A Statistical Analysis Of William Thorndike’S “The Outsiders”, William Turner

CMC Senior Theses

What makes a high-performing CEO? What CEOs should you invest in? These are the questions that the Board of Directors, headhunters, academics, and investors all seek the answer to. This paper explores the answer to this question by examining CEO performance at the extremes. Inspired by the work of William N. Thorndike’s “The Outsiders: Eight Unconventional CEOs and Their Radically Rational Blueprint for Success,” this study expands upon his methodology, employing a statistical approach to analyze a broader dataset of CEOs over the past thirty years. Using a logit model of hyper-outperforming versus hyper-underperforming CEOs, it assesses the …


Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim 2024 Claremont Colleges

Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim

CMC Senior Theses

Artificial Intelligence (AI) has positively transformed the Financial services sector but also introduced AI biases against protected groups, amplifying existing prejudices against marginalized communities. The financial decisions made by biased algorithms could cause life-changing ramifications in applications such as lending and credit scoring. Human Centered AI (HCAI) is an emerging concept where AI systems seek to augment, not replace human abilities while preserving human control to ensure transparency, equity and privacy. The evolving field of HCAI shares a common ground with and can be enhanced by the Human Centered Design principles in that they both put humans, the user, at …


Revolutionizing Lithium Extraction: Analysis Of Factors Affecting Commercialization Timelines With Insights From The Shale Gas Boom, Bilge Tayyar 2024 Claremont Colleges

Revolutionizing Lithium Extraction: Analysis Of Factors Affecting Commercialization Timelines With Insights From The Shale Gas Boom, Bilge Tayyar

CMC Senior Theses

This study draws parallels between Direct Lithium Extraction (DLE) and hydraulic fracturing to highlight the transformative potential of DLE technology in the lithium industry. The comparative analysis supports the hypothesis that DLE might expedite commercialization timelines, similar to the effect hydraulic fracturing has had on traditional shale gas extraction. The study includes a regression analysis to determine the factors affecting the commercialization of conventional lithium brine extraction methods, thereby better understanding the potential changes DLE will create. The regression model, based on data from 11 projects, examines the impact of variables such as temperature range, tax rates, royalty rates, regulatory …


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