Digital Commons Network^™

Esg Significance In Relation To Corporate Bankruptcy Prediction, Sama Elkady

Theses and Dissertations

This thesis aims to enhance corporate risk assessment through studying ESG (Environmental, Social, and Governance) significance in modeling bankruptcy. Through using artificial intelligence’ natural language processing (NLP), we develop a proxy for ESG scoring based on companies annual reporting retrieved through EDGAR. We integrate the derived ESG score with traditional financial ratios used to calculate Altman’s Z-score (1968) in predicting bankruptcy. Through S&P’s Compustat, we obtain a sample of 108 healthy & bankrupt firms -spanning 14 years of fiscal observations- and match them through time and industry. We use stepwise GLM regression to estimate bankruptcy probability observing that ESG and …

Millennials’ Perception Towards Adaption And Intention Of M-Banking: Experience From A Developing Country, Noman Hasan, Md. Shahed Mahmud, Abdul Gaffar Khan, Reshma Pervin Lima, Shiblu Miah

Journal of Global Business Insights

In recent years, m-banking has been developed rapidly around the world. The research aims to measure millennials’ perception towards adaption and intention of m-banking from a developing country’s perspective. A PLS-SEM modeling approach was performed to test the hypothetical model. The empirical results reveal that perceived ease of use, perceived security and privacy, and perceived cost significantly affect the millennials’ attitude to adopt m-banking. In contrast, perceived usefulness and perceived self-efficacy have an insignificant effect. Furthermore, attitude towards adopting m-banking significantly impacts adoption and intention among millennials. Practical and theoretical implications have been identified based on the study results.

Can Corporate Sustainability Performance (Csp) Overcome Indonesia's Corporate Debt Problems?, Johnson Ferry Febrian, Nora Sri Hendriyeni

Jurnal Akuntansi dan Keuangan Indonesia

Based on IMF publications (2022), Indonesian companies have a risky debt level that may cause bankruptcy, so companies are required to make leverage adjustments to return the debt to its optimal level. In recent years, corporate sustainability performance (CSP) practices have been proven to improve performance and overcome financial problems such as debt by integrating sustainability aspects into business processes. Based on stakeholder theory and trade-off theory, this study aims to examine the effect of CSP on leverage adjustment and the role of competitive advantage, equity mispricing, profitability, and firm size in moderating this relationship. This study used a sample …

Esg Performance, Debt Equity Choices, And Rapid Adjustments In Indonesia, Arum Pujiastuti, Rizki Dini Shandra Yunita, Fitria Yuni Astuti

Jurnal Akuntansi dan Keuangan Indonesia

Previous research has explored the relationship between sustainability performance and firm performance; however, there is a noticeable scarcity of studies addressing the intricate connection between sustainability performance and firm financing. This study aims to bridge this gap by investigating how sustainability performance impacts firm financing decisions and capital structure adjustment in the context of Indonesia. Leveraging Environmental, Social, and Governance (ESG) performance data specific to Indonesia, this research contributes novelty to financing choices and the speed at which firms adjust their leverage. Through a combination of fixed-effect modelling and dynamic panel Generalized Method of Moments (GMM), the study employs a …

Do Fundamental Financial Ratios Affect The Company's Stock Price? Indonesia Evidence, Arumega Zarefar, Armadani Armadani

Jurnal Akuntansi dan Keuangan Indonesia

The objectives of this research aims to examine the effect of corporate fundamental financial ratios on stock prices and to examine whether firm age determine stock prices in the perspective of signaling theory. Here Generalized Least Squares (GLS) approach was used as the main analysis technique, and Ordinary Least Squares (OLS) was incorporated for the robustness test. The research was conducted on companies listed on the Indonesia Stock Exchange during the 2014-2020 period. This study finds that return on assets, solvency ratio, and Tobin's Q positively affect stock prices, that cash ratio has a negative effect on stock prices, and …

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 …

Financial Inclusion And Human Development: A Comparative Analysis Of Mena And Brics, Mohammad Eid

Theses and Dissertations

Various efforts to enhance human development in several countries has been underway for years now, but the level of human development attained by countries in BRICS and MENA regions vary. This study empirically examines the role of financial inclusion and its impacts on human development; it investigates whether financial inclusion can be used to drive human development by examining and comparing its results in MENA and BRICS countries. The dependent variable is the score of Human Development index HDI. This study provides a unique comparative analysis of the role of financial inclusion and its effects on human development in MENA …

A Systematic Literature Review On Overconfidence And Related Biases Influencing Investment Decision Making, Uttam Karki, Vaneet Bhatia, Dheeraj Sharma

Economic and Business Review

In the current market scenario, it has been observed that biases are among the most significant factors influencing investment decisions. Among these biases, overconfidence is a common phenomenon managers tend to exhibit while making decisions. To understand the role of overconfidence bias in investment decision making, this study thoroughly scrutinizes and consolidates the current research on overconfidence bias. To achieve the objective, this study performs a systematic review of literature utilizing the PRISMA approach and examines 92 journal articles published in the last 20 years. Results suggest that the other two biases—hindsight and confirmation—are related to overconfidence bias. In addition, …

Implementing The Single Supervisory Mechanism In The Euro Area: Effects On Deposit Structure Of Banks, Emilija Popovska, Marko Košak

Economic and Business Review

In this paper we investigate whether the banks which fall under direct supervision by the European Central Bank (ECB) are more likely to be considered more stable and trustworthy by the depositors due to the stricter supervisory activities performed since the implementation of the Single Supervisory Mechanism (SSM). Under the SSM, significant banks switched from national supervisors to ECB, whereas the remaining banks remained under national supervisory authorities (NSAs). Using the difference-in-difference (DID) method, we have found evidence of increased depositors’ trust in significant banks after the SSM implementation. Additionally, in anticipation of the SSM launch and the comprehensive assessment, …

Empirical Essays On Retail Investors, Institutional Investors, And Anomalies, Yuqing Yang

Dissertations, Theses, and Capstone Projects

This dissertation consists of five chapters on market efficiencies through retail and international mutual fund investors.

Chapter 1 This chapter briefly introduces this dissertation.

Chapter 2 This chapter Anomalies Never Disappeared: The Case of Stubborn Retail Investors delves into the “stubborn” retail investors and finds that anomalies traded against by retail investors never disappear in the long run, defying the conventional wisdom that anomalies are disappearing in recent years as market efficiency improves. Incorporating retail trading, I develop asset pricing models that surpass existing prominent models in explaining these long-run alphas. I hypothesize that retail investors exacerbate anomalies: the more …

Empirical Essays On Corporate Financing Behaviors, Joonsung Won

Dissertations, Theses, and Capstone Projects

This dissertation provides an investigation into how external factors influence corporate financing decisions and examines the nature and extent of their impact. To address this, I explore three key external factors: the financial market, financial institutions, and regulatory environment. The chapters explore how the financial market risk perception, financial institutions, and regulatory environment affect corporate financing decisions such as capital structure, bank borrowing, and regulatory capital issuance.

Chapter 1. This chapter presents the motivation and structure of the dissertation.

Chapter 2. Using a recently developed measure of financial market risk perceptions, I show that risk perceptions affect firm-level corporate financing …

Risk Analysis In Financial Statements, A Comparative Study Of Ai Vs Human Risk Assessment, Andre V. Denegri

University Honors Theses

This theses explores the transformative potential of artificial intelligence (AI) in the auditing industry, focusing on its implications for audit quality, efficiency, and the evolving role of human auditors. A comprehensive review of relevant literature highlights the integration of AI-driven tools such as machine learning, deep learning, and natural language processing in audit processes, emphasizing their capabilities in enhancing risk assessment, fraud detection, and data analytics.

The experimental design features an innovative approach to compare the efficacy of AI and human auditors in conducting risk analysis for three companies—Blockbuster, Enron, and Lehman Brothers—presented anonymously with pre-bankruptcy financial information. The findings …

Jakira & Jarrod Jackson: An Estate Planning Case, Kasim Alli, Crystal Hudson

Southwestern Business Administration Journal

Abstract: Jarrod and Jakira Jackson are an African American power couple who have amassed a net worth of more than $37 million dollars primarily through a small real estate business. Both were first in their families to go to college and by far the wealthiest. Now they need help passing on their wealth and their legacy to their twin teenagers. The Jackson family needs an estate planning assessment to ensure that their twins and family members are cared for and to ensure that as much of their estate gets passed onto their heirs as possible.

The case is designed for …

Characteristics Based Factor Models - Comparison Of Estimation Procedures, Henri Ohl

McKelvey School of Engineering Theses & Dissertations

Understanding cross-sectional and time series variation of asset returns is fundamental in finance, particularly in asset pricing. This thesis explores the integration of factor theory with machine learning to deepen our comprehension of these dynamics. Characteristics based factor models offer a systematic framework for quantifying an asset's underlying risk-return structure, leveraging time-varying conditional information on model parameters carried by firm-specific characteristics. These models serve as valuable tools for discerning the driving components of an asset's expected excess return. Recent research established a novel methodology for consistent parameter estimation within this framework, only requiring a large cross-section but not a long …

2024 Private Capital Markets Report, Craig R. Everett

Pepperdine Private Capital Markets Report

The Pepperdine private cost of capital survey was originally launched in 2007 and is the first comprehensive and simultaneous investigation of the major private capital market segments. This year’s survey specifically examined the behavior of senior lenders, asset-based lenders, mezzanine funds, private equity groups, venture capital firms, angel investors, privately-held businesses, investment bankers, business brokers, limited partners, and business appraisers. The Pepperdine survey investigated, for each private capital market segment, the important benchmarks that must be met in order to qualify for capital, how much capital is typically accessible, what the required returns are for extending capital in today’s economic …

Case Study: The Strategy, Implementation, And Financial Performance Of The Bank Of North Dakota, Muhammad Umar Farooq, Faruk Arslan, Donovan Fuqua, Victor Pimentel

Mountain Plains Journal of Business and Technology

This case study seeks to investigate the factors enabling the survival of the Bank of North Dakota (BND), which is the only operational state-owned bank in the United States, and its implications on North Dakota economy's well-being. Since its foundation in 1919, the BND's mission has been to "promote agriculture, commerce, and industry in North Dakota." (Mission, Vision, Core Values, n.d.) This case explores the corporate strategy, its implementation, and the financial performance of the Bank of North Dakota from 2017-2021. By employing a case-study method, this paper draws on analysis and the comments of several elected representatives of North …

Cross-Market Effects Of Consolidation: Evidence From Banking, Andrew Bird, Ding Du, Stephen A. Karolyi

Accounting Faculty Articles and Research

The U.S. banking sector had nearly 70% fewer banks in 2022 relative to 1989, primarily because of mergers. We develop a methodology to estimate cross-market spillover effects of bank mergers and test whether the operations of incumbents facing consolidating competitors in one market are affected in other markets. We find that nonmerging banks within a market that are one standard deviation more exposed to mergers in other markets increase deposits by 2.1% relative to their less exposed competitors. Our methodology may be applied elsewhere to assess the aggregate impacts of industry consolidation and illustrates challenges with product-based or geographic market …

Moving Forward: Automating A Walmart Executive View From Existing Manual Financial Systems, Alexandra Rosen

Finance Undergraduate Honors Theses

Walmart, the largest retail giant globally, is a company that needs no introduction. Headquartered in Bentonville, Arkansas, it has become synonymous with retail innovation and efficiency. Last summer, I had the unique opportunity to immerse myself in Walmart’s culture and the world of finance and accounting through Walmart's Accounting and Finance Development Program (AFDP) internship. This analysis examines my summer in the program and applies my experience to the importance of in-person office work.

Quantum Machine Learning For Credit Scoring, Nikolaos Schetakis, Davit Aghamalyan, Micheael Boguslavsky, Agnieszka Rees, Marc Rakotomalala, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring for small- and medium-sized enterprises (SMEs). We introduce a hybrid quantum–classical model, focusing on the synergy between quantum and classical rather than comparing the performance of separate quantum and classical models. Our model incorporates a quantum layer into a traditional neural network, achieving notable reductions in training time. We apply this innovative framework to a binary classification task with a proprietary real-world classical credit default dataset for SMEs in Singapore. The results indicate that our hybrid model achieves efficient training, requiring significantly fewer epochs …

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.

Dreams And Livelihoods In Rural Areas Require Capital, Too: An Investigation Into The Role Of Diminishing Community Banks, Financial Education, And Access To Capital In Rural Areas, Jackson Walton

Finance Undergraduate Honors Theses

Individuals in rural communities face unprecedented economic challenges due to a lack of financial education and a decline in the prevalence of community banks. These problems have continuously grown exponentially without successful attempt at remedy. The community banks that once served as the center of economic activity and prevalence in rural communities are leaving these communities quickly- leaving many without access to lines of credit, personal relationship banking, and without necessary financial education in a world with more financial options than ever. Access to banking and higher financial literacy proficiency rates are almost directly linked to better financial outcomes like …

The Value Of Cryptocurrency In An Efficient Portfolio, Bryn Taylor

Finance Undergraduate Honors Theses

With the recent approval of Bitcoin-backed exchange traded-funds, it is now easier than ever for mainstream investors to gain exposure to cryptocurrencies. This paper aims to employ the Markowitz efficient frontier model to determine the potential for cryptocurrency investment to increase the risk-adjusted performance of a diversified portfolio of stocks and bonds. The analysis finds that investors can expect a meaningful increase of 4.41% to the risk-adjusted performance of their portfolio when allocating 4.83% of their total investment to cryptocurrency. However, this potential increase is highly sensitive to cryptocurrency returns, volatility, and correlations to stock. As such, whether adding cryptocurrency …

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.

Exploring Growth: A Multifaceted Approach To Development In The Stann Creek District Of Belize, Brady A. Voss

Finance Undergraduate Honors Theses

This honors thesis delves into the multifaceted approach to development within the Stann Creek District of Belize, as undertaken by the Ministry of Agriculture (MOA) in collaboration with the international non-profit Peacework. Authored by Brady A. Voss under the guidance of Dr. Amy Farmer, this research is a culmination of efforts aimed at enhancing economic growth and sustainability in the region.

The thesis begins by outlining the author's involvement in three primary projects during a summer internship in 2023: assessing market awareness of dragon fruit, estimating the cost of production for habanero peppers, and formulating a business plan for the …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

An Analysis Of Bank Willingness To Decrease Deposit Fees, Madison E. Settlage

Finance Undergraduate Honors Theses

Bank deposit fees have been at the forefront of bank criticism for years, as many view them as being too severe and having a disproportionate effect on low-income customers. In recent years, there has been a strong push for declines in these rates. In this paper, I analyze banks willingness to decrease deposit fees using data from bank call reports over the 2017 to 2023 time period. Through statistical analysis, I find that various factors such as 2017 deposit fee level, ROA, total assets, average personal deposits, population, median income, and poverty rates are significant in determining bank fee levels …

An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei

Electronic Theses, Projects, and Dissertations

ABSTRACT

The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …

Lululemon Strategic Audit, Tessa Mozingo, Olivia Eno, Molly Mitchell, Connor Morrissey, James Eshleman

Honors Theses

This case study focuses on lululemon, a prominent athleisure apparel company. Our team conducted an audit of the company revolving around strategic business management principles. Our research used publicly available information that included the company’s website, SEC filings, news articles, lululemon’s annual reports, financial statements, IBIS industry reports, and online sources. The goal of this strategic audit is to develop an understanding of lululemon’s business activities and strategies, collect and analyze both internal and external data, and evaluate lululemon based on strategic management concepts.

In this strategic audit, we conduct internal, external, performance, and competitive analyses and an examination of …

Has Electricity Deregulation Eliminated The Nuclear Option?: Rethinking The Coasian Ios For Project-Finance Investments, Stephen Dansky

Theses and Dissertations

Installed electric generation capacity in the United States is expected to grow significantly over the next two decades. This raises concern about climate change as several common methods of electricity generation emit greenhouse gases. Nuclear power, which doesn’t create greenhouse gases while generating electricity, has been heavily promoted by the nuclear industry and a segment of the environmental community ever since it was codified by the United Nation’s 26^th Climate Change Conference of the Parties as an acceptable energy source to fight climate change. However, this dissertation establishes that the increased revenue risk and uncertainty created by the deregulation …

Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation, Leo Krippner

Sim Kee Boon Institute for Financial Economics

This article introduces the principles and mechanics of the eigensystem vector autoregression (EVAR) framework, where a VAR may be specified and estimated directly via its eigenvalue and eigenvector parameters. Using explicit constraints on the eigensystem permits control of a VAR ís allowable dynamics, which is illustrated empirically with standard and time-varying VAR estimations specified to be always non-explosive.