Corporate Finance Commons^™

People Orientation And Thing Orientation In Business Majors: Implications For Assessing The Impacts Of Cross-Functional Business Program Curricula, Todd J. Hostager, David A. Christopher, Kristy J. Lauver, Christopher Knowles

International Journal for Business Education

Background/Introduction/Purpose:  Prior research documented significant differences in people orientation and thing orientation (PTO) based on type of major and sex.  This study examines a set of measures for helping business programs to assess whether they are producing graduates equipped to consider both people and things when making decisions, regardless of their major or sex.

Methods/Design:  Students in a strategic management capstone course spent a single 75-minute session responding to a brief new venture pitch by identifying what types of additional information they would need to decide whether to invest in the business.  Three Likert-scaled options gauged the extent to participant …

Who Pays Dividend? Statistical Explanation And Machine Learning Prediction: Evidence From Pakistan, Zohaib Aziz, Javed Iqbal

The Indonesian Capital Market Review

This study explains and predicts the firm’s dividend payment decision using an unbalanced panel dataset of non-financial firms listed on the Pakistan Stock Exchange covering the period 2009-2020. Several traditional statistical models and modern machine learning algorithms are applied to examine the firm-specific and macroeconomic determinants of dividend decision. Logistic regression and dynamic panel probit models indicate that lagged dividend, firm efficiency and firm size positively influence the firm’s dividend decision whereas leverage and sales growth show negative effects. Lagged dividend is found to be the most influential variable in explaining and predicting the dividend decision while the role of …

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …

Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy

Theses and Dissertations

The greenium, or green premium, refers to the lower yield that arises from a bond’s green label, conditional on otherwise identical contractual features and credit risk. In our study, we estimate the greenium by combining causal matching techniques with a neural network–based propensity score approach to construct a closely comparable set of green and conventional bonds. Our empirical framework incorporates issuer fixed effects and currency × issuance-year fixed effects, ensuring that our estimates reflect the impact of the green label itself rather than differences in macro-financial conditions or issuer composition.

Our findings indicate that, once currency-specific issuance-year conditions are absorbed, …

Credit Card Indebtedness During The Covid-19 Pandemic, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Final Practicum Thesis And Portfolio From Accy 421: Professional Development Reviewing The Economic Effects Of Maha Initiatives On Conagra Brands Financial Statements And Studies On Business Professionals, Everett B. Heuer

Honors Theses

The purpose of this paper is to investigate the potential legislative changes brought about by Robert F Kennedy Jr. and the “Make America Healthy Again” campaign to uncover possible financial effects to Conagra Brands’ next fiscal year. This was achieved through research on RFK’s opinions on American food culture from sources such as interviews and Senate confirmation hearings. Findings included disapproval of seed oils and artificial food dyes that could affect Conagra Brands’ subsidiaries. After reviewing Conagra Brands’ 10k for the previous fiscal year as well as mission statements and core values, the team developed multiple plans for Conagra Brands …

Exploring Determinants Of Value For Money And Bundling Effects On Public–Private Partnership Projects: A Data-Driven Empirical Study, Gaurav Khadka

Department of Construction Engineering and Management: Dissertations, Theses, and Student Research

Public–private partnerships (P3s) are widely used to deliver public infrastructure, yet current understanding of what drives variation in Value for Money (VfM) and the effectiveness of project delivery strategies such as bundling remains largely conceptual and grounded in perception-based evidence. Consequently, governments lack empirically validated guidance on which project, financial, and macroeconomic conditions meaningfully influence VfM outcomes and whether bundling improves project performance within the P3 context. This study addresses these gaps through an integrated analysis of 180 Canadian P3 infrastructure projects (1992–2020), one of the most comprehensive datasets of realized VfM internationally, incorporating project characteristics, financial arrangements, and macroeconomic …

When Social Fundraising Is Active But Hard To Measure: Nonprofit Lessons From Social Media Roi Research, Dr. Blair W. Loveland

Journal of Nonprofit Innovation

This article examines a nonprofit measurement problem that appears when social media is used to support fundraising but the organization cannot clearly connect that activity to a measurable financial result. The article draws on a non-experimental quantitative survey of 106 participants in roles tied to marketing, sales, or revenue reporting. The findings showed that social media use was common, but visibility into spending, formal ROI tracking, and end-to-end attribution was often weak. Seventy percent of respondents who answered the spend question did not know their organization's annual social media spend, 59 percent of respondents who answered the ROI question said …

Application Of Open-Source Small Large Language Models For Finance Report Analysis, Tue Vu, Mark Austin, Marcel Tuijn

SMU Data Science Review

The rapid integration of generative AI in finance introduces both opportunities and challenges, particularly when analyzing sensitive data such as Securities and Exchange Commission (SEC) filings. This study investigates the use of open-source Small Large Language Models (SLLMs), deployed locally through the Ollama and LangChain frameworks, combined with Retrieval-Augmented Generation (RAG) for extracting financial insights relevant to index performance and reporting quality. Two key objectives guide this work: (1) benchmarking multiple open-source SLLMs for sentiment analysis, multiple-choice reasoning, and financial question answering, and (2) assessing the feasibility of locally deployed SLLMs for domain-specific financial queries. A standardized set of 50 …

Financial Leverage And Firm Performance: An Empirical Review And Analysis, Iqbal Md. M Islam

Journal of Global Business Insights

This paper examines the dual impact of financial leverage on corporate performance by analyzing empirical data across developed and developing nations, industries, and different periods. Leverage can enhance profitability through tax benefits and improved efficiency, but it also maximizes financial risk, making its effects highly context dependent. Theoretical frameworks such as the Trade-off Theory, Modigliani-Miller Theorem, Agency Theory, and Pecking Order Theory offer diverse perspectives on how debt influences firm outcomes. Empirical findings reveal mixed results; moderate leverage may lower capital costs and boost performance, whereas unnecessary debt can lead to financial distress. Disparities emerge between developed and developing economies. …

Corporate Disclosure Meets Natural Language Processing: Topic Modeling, Disclosure Strategy, And Audit Implications, Wanxin Yu

2026

Corporate disclosures serve as a critical channel for firms to communicate their financial performance, strategic initiatives, and firm-specific risks. In recent years, rapid advances in natural language processing (NLP) have provided powerful new tools for extracting insights from the growing volume and complexity of corporate disclosures. This dissertation consists of three studies that explore how advanced textual analysis can reveal deeper insights into corporate disclosures, managerial behavior, and auditor practices.

The first paper (co-authored) develops a topic-based approach to measuring the substantive content of risk factor disclosures. Using an embedding-based topic modeling framework, we identify 30 interpretable risk topics and …

Forecasting The Unpredictable: The Bullwhip Effect In The Toy Industry, Mannat Sethi

CMC Senior Theses

This thesis investigates the bullwhip effect, the amplification of demand variability as it moves upstream in a supply chain, with a focus on the toy industry, and comparative analysis with the technology and consumer goods sectors. Using annual data from 1993 to 2024, the study analyzes production and retail growth for Mattel, Hasbro, Intel, and Procter & Gamble to assess how variance between consumer demand and firm output has changed over time. Bullwhip ratios are calculated as the variance of production growth divided by the variance of retail growth across two periods: 1993–2008 and 2009–2024.

The findings show that toy …

Does Bidder Complexity Affect Market Reactions To M&A Decisions?, Rajib Chowdhury, John A. Doukas

Finance Faculty Publications

We examine whether and how bidder complexity influences investor reactions to merger and acquisition (M&A) announcements. Using an established measure of complexity, we find a significant positive relationship between acquiring firm complexity and cumulative abnormal returns (CAR). This suggests that investors perceive more complex firms as capable and value-enhancing participants in M&A activities. The association is particularly strong for bidders with high operating risk, greater R&D intensity, and larger firm size. We also find that complex bidders tend to offer higher takeover premiums. Overall, our study contributes to the literature by demonstrating that bidder complexity is an important determinant of …

The Conditional Nature Of The Value Premium: Interaction And Cross-Sectional Evidence Across Market Regimes, Samuel L. Klein

Honors Thesis

This thesis examines why value-based investment strategies generate strong returns in some environments yet weaken or collapse in others. Regressions test whether the performance of the book-to-market ratio depends on the investor’s perception of financial health as defined by F-Score and accruals. Across additive regressions, interaction models, cross-sectionals, and heatmap visualizations, a consistent mechanism emerges. The book-to-market effect is strongest when financial information is neither highly reliable nor severely distressed. In these “moderate-quality” environments, investors struggle to fully distinguish the transitory components of earnings from their persistent counterparts. This makes valuation ratios particularly influential. Accrual intensity and financial strength jointly …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

The Impact Of Cost Leadership On Financial Distress Mediated Environmental, Social, And Governance, Steven Asher, Meythi Meythi, Riki Martusa, Rapina Rapina

Jurnal Akuntansi dan Keuangan Indonesia

Background: This study investigates the mediating role of environmental, social, and governance (ESG) performance in the relationship between cost leadership and financial distress among companies in Indonesia. Methods: Using path analysis, the research analyzed a sample of 43 firms listed on the Indonesia Stock Exchange from 2018 to 2022. Findings: The findings indicate that cost leadership positively affected ESG; however, no direct relationship was observed between cost leadership or ESG and financial distress. The mediation analysis reveals that ESG acted as a mediator, linking cost leadership to a reduced risk of financial distress. Conclusion: These results highlight the importance of …

Crypto Accounting Market Dynamics: Advanced Econometric Analysis Of Earnings Impact With Bert-Powered Genai Models, Karina Kasztelnik, Steven Campbell, Eva K. Jermakowicz

Journal of Global Awareness

This study is, the authors believe, a groundbreaking investigation into the impact of cryptocurrency news on the earnings of publicly traded companies. Using advanced Generative AI (GenAI) models and the BERT framework for sentiment analysis, we integrated comprehensive data from the Financial Modeling Prep API. This enabled us to employ a rigorous event study methodology and advanced machine learning algorithms. Valuable insights were derived from the BERT model, shedding light on the reasons behind abnormal returns and facilitating a thorough analysis of material and immaterial impacts. The study’s findings highlight the significant influence of both positive and negative cryptocurrency news …

Notes From The Editor, Jay Nathan

Journal of Global Awareness

No abstract provided.

From Answering Questions To Replacing Staff: Analyzing The Effect And Possibilities Of Artificial Intelligence On The Structure Of Organizations, Caleb J. Cissna

Honors Projects

Over the last several years artificial intelligence has risen in commonality, availability, knowledge and usage across multiple industries, including business firms and organizations. Terming the multitude of tasks that are completed by these machines “artificial intelligence” is somewhat dismissive – the broadness of the tasks is unmatched by most any other innovation within the 21^st century. The widespread nature of artificial intelligence today have advanced many organizations, with many using the technology to create competitive advantage for themselves in certain industries, while others have seen it level the competitive field between firms in a given industry. Following this research …

A 360 Perspective About Corporate Finance, Braden C. Fancher

Finance Undergraduate Honors Theses

This thesis provides a comprehensive reflection on the author's experience in the “Finance 360” rotational internship program at Burns & McDonnell, a program designed to expose interns to the diverse functions within a corporate finance and accounting department. Over the course of 10 weeks, the author completed 12 different rotations, gaining hands-on experience across various financial disciplines. This paper highlights five rotations—Operational Financial Analysts, Financial Analytics, Internal Audit, Project Accounting, and Investments—that had the greatest impact on reshaping the author’s understanding of corporate finance. These experiences revealed the deep integration of finance with accounting, analytics, and strategic decision-making, far beyond …

The Financialization Of The American Dream: Private Equity’S Rise In The Single-Family Rental Market, Colby Sherwin

Honors Theses and Capstones

This thesis examines how private equity firms and other institutional investors are reshaping the single-family rental market in the United States, and what that shift means for homeownership, affordability, and community stability. What began as a short-term strategy to acquire foreclosed homes after the 2008 financial crisis has evolved into a long-term business model, with firms now owning hundreds of thousands of properties across the country. Leveraging their financial scale, these investors often outbid individual buyers, particularly in fast-growing cities. While proponents argue that institutional ownership brings professionalism and much-needed supply to tight housing markets, data shows that it has …

The Usefulness Of The Industry Trade Credit Risk Indicator In The Polish Economic Realities In 2013–2023, Robert Dyrcz, Artur Hołda

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: The aim of this article is to introduce the methodology for creating a synthetic industry indicator of trade credit risk (PICM Risk Index©), which will be useful in forecasting the number of defaults in economic sectors. In particular, the PICM Risk Index© indicator is to be characterized by the smallest possible forecast error and is to be variable in monthly periods.

Methodology: In the construction of the indicator, the economic situation research of the Central Statistical Office was used. The research hypotheses assumed were that the indicator shows a statistically significant relationship with insolvencies in the sectors …

Cross Country Analysis Of Leveraged Loan Issuance: A Comparative Case Study, Cristina D. Vasquez Boero

Honors Program Theses

This paper aims to examine the dynamics of the global leveraged loan market through a cross-country analysis of 32,635 loan issuances spanning 133 industries across 29 countries between 2005 and 2024. The study analyzes key loan-level variables; including commitment size, maturity time, facility type, pledge status, priority lien, economic sector, use of proceeds, issue year, and amortization schedule to identify cross-country variation in loan issuance patterns and borrower characteristics, comparing a selected sample of international countries with the United States. The results reveal that the market for leveraged loans has grown significantly over time, specifically due to a higher frequency …

Harvest Gold Distillery, Alexis Mackey, Alexander Grecco, Cole Smith, Maggie Patterson, Blake Benko

Williams Honors College, Honors Research Projects

The goal of our research project is to establish and grow Harvest Gold Distillery: a corn-based liquor distillery in Ohio that aims to produce and sell high-quality spirits while offering unique services that enhance outreach in the community. The motivation behind this business venture is rooted in one of our team member’s family traditions; Alex’s family makes homemade liquors, which has fostered an in-depth understanding of the distillation process. Alex’s firsthand experience with the craft provides a solid foundation, yet we recognize that starting a distillery involves significant challenges and requires thorough research in several functions of business. This project …

Sustainability Gaps: The Role Of Esg Disparities In M&A Performance During The Covid-19 Era, Anastasia Nikolaeva

CMC Senior Theses

My thesis investigates the impact of environmental, social, and governance (ESG) score disparities between acquirer and target companies on cumulative abnormal returns (CAR) in mergers and acquisitions (M&A) from 2018 to 2022, particularly in light of the COVID-19 pandemic. Using Bloomberg and Refinitiv Eikon datasets, I explore whether the ESG delta between merging firms influences financial outcomes, hypothesizing that higher ESG alignment enhances CAR (cumulative abnormal return). My preliminary findings indicate that larger ESG disparities positively affect acquirer CAR but may reduce target CAR, suggesting that ESG alignment benefits vary by stakeholder and merger dynamics. These results highlight the evolving …

Navigating Workforce Utilization Metric In The Indian It Industry: A Multifaceted Study, Shipra Jha

Management Dynamics

The measurement of workforce utilization is a critical concern for organizations, especially within the dynamic landscape of the IT industry. This research explores the multifaceted nature of utilization metrics by devising Utilization Insight Elicitation Framework (UIEF), focusing on three major themes: defining utilization and understanding the significance, assessing its impact on employee well-being, and contemplating its future relevance. Examining utilization from cost and revenue perspectives reveals how organizations optimize costs while ensuring project profitability. The study scrutinizes the balance between cost-focused and headcount-centered approaches, considering employees' roles and project demands. Additionally, it discusses factors for inclusion/exclusion in utilization calculations and …

Pooling And Winsorizing Machine Learning Forecasts To Predict Stock Returns With High-Dimensional Data, Erik Mekelburg, Jack Strauss

Finance: Faculty Scholarship

We evaluate US market return predictability using a novel data set of several hundred ag- gregated firm-level characteristics. We apply LASSO, Elastic Net, Random Forest, Neural Net, Extreme Gradient Boosting, and Light Gradient Boosting Machine methods and find these models experience large prediction errors that lead to forecast failures. However, winsorizing and pooling machine learning model forecasts provides consistent out-of-sample predictability. To assess robustness, we apply machine learning methods to high-dimensional data for Canada, China, Germany and the UK as well as the Goyal-Welch data. All machine learning models we consider, except for the ensemble pooled methods, fail to significantly …

Advancing Sustainable Investing: A Deep Learning Model For Multi-Source Stock Prediction, Hongxuan Yu, Tingting Zhang, Murat Kizildag

Journal of Global Business Insights

The burgeoning role of the stock market within the national economy elevates the importance of precise stock price analysis and prediction, a field that has garnered substantial interest in academic research. Stock price fluctuations, influenced by many factors, including company fundamentals, market sentiment, capital flows, industry news, and macroeconomic policies, present a highly dynamic and complex challenge for predictive modeling. Addressing this challenge, our study introduces an innovative method that capitalizes on the synthesis of news text and stock price data for forecasting market movements. We employ GloVe embeddings to capture semantic nuances from news text and integrate them with …

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 …

Financial Assessment Of Executive Decision-Making And Risk Management: A Case Study Of Autozone, Carolina Hollis

Honors Theses

This area of investigation pertains to the business organizational structure, executive summary, and risk management decisions of AutoZone within the 2022-2023 fiscal year. This analysis was performed by examining previous financial records, the yearly 10-K report, and various research databases regarding the financial performance of retail auto part companies. Many different sources were used to gather information about AutoZone. AutoZone has an intricate financial system that maintains the going concern by addressing current issues within the financial world to combat problems they could face in the future. These risk factors include inflation, interest rates, energy prices, political climates, and supply …