Finance and Financial Management Commons^™

Expanding Waste Segregation Initiatives To Reduce Regulated Medical Waste: A Multi-Departmental Quality Improvement Project, Emily M. Su, Anuja L. Sarode, Mohammed Sami, David R. Nehring, Erica L. Laipply, Mustafa Culcuoglu

HCA Healthcare Journal of Medicine

Background

Regulated medical waste (RMW) drives up health care costs, largely due to misclassification of general waste, especially in operating rooms (ORs), intensive care units (ICUs), and obstetrics and gynecology (OBGYN) departments. This study aimed to reduce RMW volume and costs at Akron City Hospital (ACH) through department-specific interventions aligning with Occupational Safety and Health Administration (OSHA) and Ohio Environmental Protection Agency guidelines.

Methods

Periodic analyses compared hospital-wide aggregate RMW volume, pick-up frequency, and disposal costs before and after interventions. The ORs initiated interventions in October 2022, expanding to ICUs and OBGYN by February 2024. Strategies included staff education, flyers …

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 …

A Strategic Analysis Of Project Learn Of Summit County, Alex Kennedy, Tyler Hutchinson, Haley Guest, Zach D. Thomas, Lizzie Sisler

Williams Honors College, Honors Research Projects

Our group is working with Project Learn of Summit County, a GED and ESL assistance program located in the Akron Public Library. Our group will be performing a strategic analysis and providing them with a strategic plan, to be presented to them at the end of the term. We aim to increase awareness for the program, point out areas of growth, and increase functionality.

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 …

Data Utilization In Facilities’ Performance Management Decision- Making At U.S. Four-Year Public Institutions: A Cross-Sectional Exploratory Study, Tanaporn Supanichrattana

Theses and Dissertations

The growing complexity of higher education finance, aging infrastructure, and rising accountability expectations has intensified demands on facilities organizations to manage institutional assets strategically. As colleges and universities face sustained fiscal constraints and expanding operational pressures, the ability of facilities leaders to use data to inform performance management has become increasingly critical. Despite this importance, limited empirical research has examined how facilities leaders integrate data into decision-making within public higher education contexts.

The quantitative study employed a cross-sectional, exploratory survey design to investigate data utilization practices among facilities leaders at U.S. public four-year institutions. Guided by the Data–Information–Knowledge–Wisdom hierarchy and …

Digital Zakat And Islamic Fintech: A Bibliometric Analysis Of Global Research Trends And Collaboration Networks (2012–2025), Muhamad Dupi, Fauziyah Adzimatinur

Journal Of Middle East and Islamic Studies

This paper examines global research trends, collaborative networks, and prevailing themes in digital zakat and Islamic fintech studies published from 2012 to 2025. We retrieved a total of 194 Scopus-indexed publications using bibliometric methods on September 23, 2025, and analyzed them using VOSviewer version 1.6.20. The analysis set a minimum occurrence threshold of 5 for keywords and a minimum citation threshold of 10 for documents. The results indicate that the number of publications has been steadily rising since 2017, with the most in 2023 (42 documents). Malaysia, Indonesia, and Nigeria were the top contributors, and INCEIF University and the International …

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 …

Beyond Compliance: Rethinking Ethical Accounting Through Ai And Esg, Rafael L. Portillo

Honors Program Theses and Research Projects

With the increasing adoption of these modern technologies in world markets while maintaining these ethical principles, there is an increasing need for alignment between technology development and ethical responsibility. For instance, in the world of accounting, there is an increasing demand to maintain alignment between technology development and ethics. It is for this reason that these researchers have chosen to explore the link between Artificial Intelligence, ESG, and financial reporting ethics.

The goal of this study is to look at new concerns and moral risks that appear when ESG expectations, AI systems, and accounting practices interact. Earlier research usually studies …

Integrating Data Analytics: Exploring The Best Methods To Evaluate Players’ Performance To Help Gain A Competitive Advantage On The Football Field, Tanner F. Fountain

Finance Undergraduate Honors Theses

To succeed in the world of sports, leaders need to uncover and utilize any advantage possible in order to gain a competitive advantage over their competition. I discuss how leaders of a sports organization, specifically within the Arkansas Razorback football program, implement the use of analytics on and off the field, as well as how they use their data to create visuals, find potential strengths and weakness, and ultimately help them be more prepared for gameday. Using my personal experience as a Student Analyst for the Razorbacks, along with supplementary information, I share the latest tactics and the strategies for …

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …

Is Complexity Virtuous?, Ryan Elmore, Jack Strauss

Business Information and Analytics: Faculty Scholarship

(Kelly et al., 2024) show that increasing complexity in linear models, with potentially thousands of predictors, is "virtuous". Their work contradicts the dogma of model selection, including the Principles of Parsimony and Occam's Razor. They find that when the number of predictors far exceeds the number of observations, the bias-variance trade-off breaks down, the variance declines, and the Sharpe ratio increases. In the context of ridge regression, we find that very high complexity coupled with large penalty terms (excessive shrinkage) generate forecasts that converge to a rolling window of past returns. For example, we show the past twelve-month moving average …

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 …

Does Idiosyncratic Volatility Follow A Random-Walk? Evidence From U.S. Stocks, Zihan Cao, Ossama Elhadary

Publications and Research

In asset pricing literature, idiosyncratic volatility (IVOL) measures the firm-specific risk that is not explained by broader market movements. In this study, I investigate whether the idiosyncratic volatility (IVOL) of individual stocks follows a random-walk. Using monthly residuals from the Fama-French three-factor model (Fama & French, 1993), I estimate IVOL for more than 11,000 U.S. stocks, and apply the Augmented Dickey-Fuller test (Said & Dickey, 1984) to determine whether IVOL behaves like a random-walk. While most stocks display random-walk behavior, the proportion varies across industries, with some sectors showing deviations from random-walk behavior. Stocks with different levels of average return …

Analisis Dampak Kebijakan Insentif Fiskal Terhadap Tingkat Komponen Dalam Negeri (Tkdn) Industri Manufaktur Di Indonesia, Muhammad Muhammad, Riyanto Riyanto

Jurnal Kebijakan Ekonomi

Over the last decade, the manufacturing sector's contribution to Indonesia's economy has declined. In 2010, it was 29.10% of GDP, but by 2022, it had dropped to 19.14%. Employment in the sector also fell, from 14.91% of the workforce in 2010 to 13.80% in 2022. To reverse this trend, the government introduced a policy to boost the Domestic Component Level (DCL) in manufacturing. By offering fiscal incentives to industries meeting certain DCL targets, the government aims to drive economic growth and job creation. A study using BPS data from 2008-2019 shows that this policy raised DCL by 23.5%.

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 …

Research On Credit Card Transaction Risk Prediction Model Based On Multi-Source Data Fusion And Its Application, Ziang Qi

Harrisburg University Other Works

In this paper, the credit card risk control and early warning model is constructed to predict and control the credit card risk by fusing multi-source data through data mining technology. After analyzing the theoretical application of XGBoost algorithm on credit card transaction risk, its model parameters are optimized by particle swarm algorithm to construct PSO-XGBoost credit card transaction risk prediction model. The credit card transaction risk prediction performance of the PSO-XGBoost model is verified and applied to the abnormal transaction risk assessment of Bank A. The AUC value, accuracy, F1 value, precision rate, and recall rate of the PSO-XGBoost model …

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 …

Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros

Electronic Theses, Projects, and Dissertations

This study aims to investigate the impact of inflation on US household financial stability from 2013 to 2023. As inflation rises, individuals’ purchasing power erodes leading to influence economic behaviors. Behaviors such as spending, saving, and borrowing should be a priority concern in the US economy. Results of this study reveal that inflation does not affect financial well-being and its direct impact on household stability is statistically weak. Regression testing shows that income emerges as the most significant factor. Most noticeably income influences savings and debt management in a positive way. As per these results, economic policies should be focused …

Analytics Insights From Text: Machine Learning, Ai, And Sentiment Analysis On Beige Books, Charlie Smith

Graduate Theses and Dissertations (2019 - present)

Business analytics is about drawing actionable insights from data. These distinct but connected essays represent a novel approach to explore how natural language processing (NLP) advances and machine learning can transform unstructured text data into actionable conclusions. Essay 1 provides a broad framework. Essay 2 strengthens the sentiment analysis with the most recent artificial intelligence methodologies for capturing nuanced sentiment in complex texts. Essay 3 applies those insights to forecast recessions using topics that can be readily interpreted and applied.

The research demonstrates how these methodologies can be applied to enhance understanding of the same dataset, Beige Books. Published by …

Mortgage Default Classification Modeling For Variable Analysis, Brendan R. Goggins

Honors College Theses

The financial crisis of the early 2000’s is a prime example of the severe consequences that mortgage default and borrower insolvency can have on economies at large. Mortgage default specifically is a prime case with the popularization of mortgage backed securities and the commonality of this loan structure. Multiple hypotheses and models have been formed to understand the reasons, causes, and consequences of mortgage default. This paper uses both machine learning and statistical classification models to inform an understanding of the variables most significant and impactful to the default outcome of mortgages. Consideration is given to both loan-level microeconomic variables …

Kennesaw State University Student Managed Investment Fund Sector Sensitivity Analysis, John Kiersznowski, Joe Johnson, Kyler Howell, Geranger Lewis

Senior Design Project For Engineers

The Kennesaw State University Student Managed Investment Fund (SMIF) Sector Sensitivity Analysis focuses on improving the fund’s decision-making and performance through data science. The SMIF is a diversified index fund designed to outperform indices like the S&P 500. This project investigates how macroeconomic variables—such as GDP growth, inflation, interest rates, and commodity prices—impact sector performance. By structuring data, developing a sustainable data pipeline, and leveraging advanced statistical techniques and predictive modeling, our team was able to provide the framework and proof of actionable insights that enhance the fund's ability to manage risks and optimize returns.

Data-Driven Default Prediction: Insights From Lending Club, Shumaila Gilani, Viktoria Kleer Kliimand

SPARK Symposium Presentations

Peer-to-peer (P2P) lending has transformed consumer credit markets by providing an alternative to traditional banking institutions. LendingClub, a pioneer in this space, facilitates lending between individual investors and borrowers through a data-driven risk assessment model. Our research aims to enhance loan default prediction by developing a more precise classification model based on LendingClub’s historical loan data, ultimately improving risk assessment for investors.

Utilizing a dataset of approximately 650,000 loans from 2007 to 2015, we construct a predictive model to classify loan default risk. Our approach focuses on key financial indicators, including interest rates, borrower grades, debt-to-income ratio, and delinquency history, …

A Comparative Analysis Of Financial Ratios In Healthcare Sectors, Lucille Barnett

Undergraduate Theses

How can for-profit financial strategies be adapted to support nonprofit financial stability? And how would those strategies translate to entities with diverse operational goals? The purpose of this study was to conduct a comparative analysis of nonprofit and for-profit healthcare organizations operating in Texas, examining financial differences driven by organizational structures and objectives across three healthcare sectors: Hospitals, Specialty Care Providers, and Community Health Centers. Using financial data from Form 990 and 10-K tax filings, this analysis aims to identify sector-specific financial challenges and opportunities, providing insight for financial decision-makers seeking to improve the long-term sustainability of nonprofit healthcare providers.

Analyzing Stability Of Estimates At Completion For Long Duration Development Efforts, Bradley Vuu, Jonathan D. Ritschel, Brandon M. Lucas, Edward D. White

Faculty Publications

Defense program managers utilize Earned Value Management (EVM) methodologies to measure, report, and predict the cost and schedule performance of their programs. Previous research conducted by Christensen (1996) and Kim et al. (2019) has shown varied results in the stability of EVM Estimates at Completion (EACs). Stability is defined as a 10% or less deviation from the final EAC at a specified percent completion point of the program. The Christensen (1996) and Kim et al. (2019) studies also noted that program-specific factors, such as phase, can impact the accuracy of EVM metrics. This study builds upon those works by assessing …

De-Dollarization And South Asia: Challenges And Opportunities For Nepal In A Multipolar Currency World, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

The United States dollar’s dominance as the global reserve currency, established under the 1944 Bretton Woods system, persists despite the 1971 decoupling of the gold backing to the dollar. Its liquidity, stability, and full support by the US government confer a solid financial security and advantage to the currency, including a universal acceptance of the dollar and a relatively low borrowing cost. Because of these reasons, the US dollar has been able to dominate the global financial markets for the past eight decades. However, the rapidly emerging global political and economic power shifts are challenging the status of the US …

Uncertainty In Pricing And Risk Measurement Of Survivor Contracts, Kendrick Raymond So, Stephanie Claire Cruz, Elias Antonio Marcela, Jeric C. Briones, Len Patrick Dominic Garces

Mathematics Faculty Publications

As life expectancy increases, pension plans face growing longevity risk. Standardized longevity-linked securities such as survivor contracts allow pension plans to transfer this risk to capital markets. However, more consensus is needed on the appropriate mortality model and premium principle to price these contracts. This paper investigates the impact of the mortality model and premium principle choice on the pricing, risk measurement, and modeling of survivor contracts. We present a framework for evaluating risk measures associated with survivor contracts, specifically survivor forwards (S-forward) and survivor swaps (S-swaps). We analyze how the mortality model and premium principle assumptions affect pricing and …

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 …

An Economic And Production Analysis Of Seaweed Farms In California And The Pacific Northwest, Brian Donovan

Cal Poly Humboldt theses and projects

Since the early 2010s, the seaweed aquaculture industry has steadily expanded in the United States, with states like Alaska, Maine, Hawaii, and Connecticut leading the way in the development of this emerging sector. However, information gaps remain concerning certain aspects of the domestic seaweed aquaculture industry. The purpose of this study was to examine the status of the seaweed aquaculture industry along the West Coast of the United States; specifically in the states of California, Oregon, and Washington. Seaweed farmers in these states were invited to voluntarily complete surveys asking important production, economic, and commercial questions regarding their operations. Data …

Women On Boards Annual Monitoring Report 2024, Center For Entrepreneurship And Innovation

Faculty Books

The AUC Egypt women on boards monitoring report is issued annually to track and monitor the presence and representation of women on boards towards meeting the goal of having 30% women on boards by 2030. The importance of improving representation of women on boards stems from the fact that it is one of the good governance pillars, in addition to the positive impact on firm performance and profitability. The National Strategy for the Empowerment of Egyptian Women 2030 has accordingly promoted for increasing the leadership roles of women and holding key positions in public institutions and companies, setting the target …