Finance and Financial Management Commons^™

Proof Of Reserves: A Double-Helix Framework, Maksym Lazirko, Deniz Appelbaum, Miklos Vasarhelyi

Department of Accounting and Finance Faculty Scholarship and Creative Works

Cryptocurrency exchanges face increasing pressure to demonstrate reserve adequacy following platform failures, yet current Proof of Reserves (PoR) systems suffer from incomplete verification approaches that examine either on-chain or off-chain assets separately. This study introduces the Double-Helix Framework, a verification methodology that integrates on-chain blockchain analysis with off-chain consensus algorithms to provide complete assessment of exchange financial positions. The framework employs parallel verification strands that simultaneously validate blockchain-recorded transactions and off-chain financial information, creating a unified assessment mechanism that addresses the verification gaps in existing PoR systems. The framework's integration of traditional auditing principles with distributed ledger verification creates new …

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 …

Deconstructing The Greenium: Exploring Mispricing In The Green Bond Market, Koto Yamada

Honors Theses

This paper investigates the sources and conditions under which the greenium – a yield discount observed for green bonds relative to comparable conventional bonds – appears in global fixed income markets. Using a dataset of over 26,000 bonds issued between 2012 and 2024 across 37 countries and 5,400 firms, I find that the existence of the greenium is highly context-dependent, shaped by factors such as issuer reputation, institutional trust, and green capital allocation across sectors. Repeat green issuers receive yield discounts of up to 57 basis points, particularly in the EU and Nordic countries, where strong climate policies and disclosure …

Do Environmental Risks Explain The Sovereign Sukuk Yields In Malaysia?, Roslina Mohamad Shafi, Norhasimah Shaharuddin, Norsaliza Abu Bakar, Amirul Afif Muhamat, Mosab I. Tabash

The Indonesian Capital Market Review

Given the increasing risks posed by environmental degradation, severe climate change, and recent pandemics, the establishment of a sustainable economy has become a priority for numerous nations. From this perspective, it is crucial to emphasize sustainable finance since it has the potential to serve as a vehicle for accomplishing a green economic agenda. Sovereign sukuk held a prominent position in the sukuk market, both domestically and internationally, but its influence was particularly significant inside the domestic sphere. The study seeks to examine the link between environmental risks and the yield performance of sovereign sukuk. Sukuk performed less favourably compared to …

Forecasting Equity Betas Using Option-Implied Moments, Ivan Kolesnikov

CMC Senior Theses

Traditional beta estimates are constructed from historical stock‑and‑market returns and therefore adjust only as fast as realized data accrue. This thesis investigates whether the forward‑looking information embedded in equity‑option prices can enhance beta forecasts. Using near‑end‑of‑day quotes for 236 S&P 500 firms between 2007 and 2024, I extract risk‑neutral variance and skewness, construct five alternative beta estimators (historical, option‑implied, and three hybrids), and evaluate them against realized betas over six‑, twelve‑, and twenty‑four‑month windows. Rolling‑OLS beta remains the most accurate benchmark at short horizons, yet option‑implied moments add economically and statistically significant value when systematic exposure is expected to change …

Amending Regulation D'S Accredited-Investor Definition To Allow Natural Persons To Opt Out Of Unwanted Regulatory Protections, John L. Orcutt

Fordham Journal of Corporate & Financial Law

No abstract provided.

Navigating New Capital Sources: Financing Constraints And The Growth Of Private Credit, David George Mathias Jr.

CMC Senior Theses

The rapid growth of private credit—non-bank lending where firms receive funds directly from private lenders like asset managers, private equity firms, and institutional investors—has reshaped corporate financing dynamics. This paper examines how private credit influences firm financing constraints and macroeconomic risk through the use of a dataset consisting of private credit deals, firm-level financial metrics, and macroeconomic indicators from 1995 to 2023. Regression analysis reveals that private credit has an insignificant effect on financing constraints as it generally acts as a substitute for traditional financing and a counterforce to tightening bank policies. However, a significant relationship emerges between private credit …

Unlocking Value Or Signaling Trouble? Exploring The Determinants Of Immediate Market Reactions To Underwater Employee Option Exchanges, Riley Lai

CMC Senior Theses

Whether employee option exchanges are an effective process to ensure a firm’s future outlook is vital for companies to consider. Evaluating the impact of these exchanges on firm value and shareholder wealth can provide insights for companies to align employee incentives with shareholder interests. This paper seeks to determine a definitive correlation between employee option exchange announcements and positive or negative abnormal returns over the announcement window. The focus is on the regulatory environment post-Section 409A, a provision in the Internal Revenue Code that prohibits the issuance of in-the-money employee stock options. This paper fills a significant gap in the …

Dynamic Quantile Positioning: A Visual Approach To Financial Ratio Benchmarking Against Industry Peers, Wojciech Kuryłek

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: This paper introduces an innovative visualization method for financial ratio benchmarking that enables comprehensive evaluation of a company’s financial performance relative to industry peers, addressing the challenge of information overload in financial analysis.

Design/methodology/approach: The method analyses data from nearly 200,000 Polish companies classified by PKD codes (aligned with NACE Rev. 2). It evaluates 14 financial ratios across five categories: sales characteristics, profitability, financial leverage, liquidity, and working capital. Each ratio is mapped against industry distributions divided into five quantiles ranging from ‘far below average’ to ‘far above average’. The visualization displays current and previous year positions …

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 …

Corruption Perception, Institutional Quality And Stock Prices: Evidence From The Egyptian Capital Market, Rasha Elbolok, Gina Eltabei, Dina Hassouna

Business Administration

This study examines the impact of institutional quality and corruption perception on stock prices in the Egyptian capital market, with a focus on the post-revolution period from to . Using the Generalized Method of Moments (GMM) methodology, this study provides empirical evidence on the significant role of macro-political factors and firm-specific variables in shaping stock market dynamics. The findings reveal that institutional quality, characterized by governance efficiency, regulatory frameworks, and the rule of law, positively correlates with stock prices. Similarly, enhanced corruption perception control significantly boosts investor confidence, leading to increased market valuations. Firm-level factors such as Tobin’s Q and …

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 …

Personal Finance – Emerging Issues And Trends. Opening Remarks, Katarzyna Kochaniak, Witold Gradoń

Journal of Banking and Financial Economics

Personal Finance – Emerging Issues and Trends. Opening Remarks

Digital-Only Banks – Retail Banks For Retail Customers Only?, Katarzyna Schmidt-Jessa, Maciej Stradomski

Journal of Banking and Financial Economics

This paper explores how traditional banks perceive digital-only banks and the potential impact of digital-only banks on the retail segment of the banking sector. To obtain the main goal, we conducted in-depth semi-structured interviews with managers and directors representing different traditional banks with profound insight into the bank digitalisation process. The results indicate that, for traditional banks, the development of digital-only banks does not pose a threat or challenge that can significantly undermine their business. A high level of user experience, innovativeness, and lack of obsolete processes and technologies are the main advantages of digital-only banks that attract retail customers. …

Entire Volume Journal Of Banking And Financial Economics 2025, 2(24)

Journal of Banking and Financial Economics

Entire Volume Journal of Banking and Financial Economics 2025, 2(24)

Startup Equity To Stock Exchange: Key Drivers In Venture-Backed Ipo Journeys, Aryaman Shiv Khosla

CMC Senior Theses

This study investigates the components that shape the probability of a venture capital (VC) backed company’s ability to transition from private to public markets through an Initial Public Offering (IPO). The study employs logistic regression models to analyze firm-specific and funding-related determinants of IPO likelihood. Key predictors in this study include total VC funding, number of VC rounds, average deal size growth, size of first round, average days between rounds, company age, number of employees, and primary industry sector. The findings reveal that higher total funding increases IPO likelihood, highlighting the critical role of robust capital access in fueling growth …

Market Reactions To Disruptions In The Aerospace Industry: An Event Study Analysis Of Abnormal Returns And Corporate Resilience, Rose L. Lauture

Doctoral Dissertations (DBA)

This study examines the effects of component failures, regulatory actions, and safety violations on stock returns and market volatility in the U.S. aerospace sector. Using FAA incident reports, WRDS market data, and corporate disclosures, the analysis combines event study methodology with ARCH/GARCH volatility models and a multiple regression approach. The results reveal that while incident frequency does not significantly affect stock prices measured by abnormal returns, firm-specific financial indicators—such as cash holdings and book-to-market ratio—play a substantial role. The study highlights the limited explanatory power of traditional regression models and calls for the inclusion of market risk and investor sentiment …

Analisis Hubungan Volatilitas Pasar Saham, Foreign Portfolio Investment, Dan Indikator Makroekonomi Pada Saham Syariah Sektor Energi Di Indonesia Tahun 2011-2023, Syahrul 'Ali Ibrohim

Jurnal Manajemen dan Usahawan Indonesia

This research aims to analyze the relationship between stock market volatility, Foreign Portfolio Investment (FPI), interest rates, exchange rates, and the Industrial Production Index (IPI) on Islamic stocks in the energy sector in Indonesia from 2011 to 2023, using the Autoregressive Distributed Lag (ARDL) method and monthly frequency data. The research results indicate the existence of cointegration or a long-term relationship among each tested variable as the dependent variable. The long-term test results show that volatility in Islamic stocks in the energy sector is positively influenced by FPI activity. Furthermore, the exchange rate positively affects the IPI. Meanwhile, in the …

Assessing Leadership In Business: A Critical Investigation Of Jamie Dimon, Conner Delaubell

Honors Scholar Theses

This thesis explores the leadership characteristics of Jamie Dimon, the long-serving CEO of JPMorgan Chase. Dimon's exemplary leadership skills and effective leadership styles have helped the financial firm become the largest bank in the United States. Through a detailed analysis of his background, career milestones, management philosophy, and vision for the future, this paper highlights the positive effect Dimon has had in the modern banking landscape. Additionally, the paper includes areas of leadership improvement, including criticisms of the climate and culture he creates.

Evaluating The Perceived Benefits Of Education In Revenue Cycle Management And The Impact On Medical Claims Reimbursement, Jessica L. Miller

Student Dissertations

Efficient Revenue Cycle Management (RCM) is essential for healthcare organizations to ensure timely and accurate reimbursement for medical claims. The research problem was the significant inadequacies in RCM process in medical billing that has resulted in financial burdens imposed on providers, patients, and the organizations that provide medical services. There are clearly identified educational gaps in RCM that contribute to claim denials, delays, and revenue loss, underscoring the need for robust training programs. The purpose of this study was to explore the perceived impact of education in RCM on medical claim reimbursement outcomes within the U.S. healthcare system. The study …

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 …

Vale Strategic Audit, Nikolas Mancio

Honors Program: Senior Projects (Public)

The Chinese government is critical in shaping the global mining and metals industry, specifically for companies like Vale S.A., the world’s largest iron ore and nickel producer. China’s dominance as the largest importer of iron ore significantly impacts commodity prices and demand, with its government exerting substantial influence through production quotas, infrastructure spending, and environmental regulations. Vale’s strategic position in the Chinese market is a cornerstone of its operations. It is supported by investments in distribution centers, blending facilities, and high-grade iron ore that align with China’s environmental goals. However, this reliance also makes Vale vulnerable to shifts in Chinese …

Pengaruh Performa Perusahaan Terhadap Kualitas Laporan Tanggung Jawab Sosial Perusahaan Yang Dimoderasi Oleh Tahap Siklus Hidup Perusahaan Pada Perusahaan Lq45 Periode 2017-2021, Satya Rifansyah Batubara, Dwi Nastiti Danarsari

Jurnal Manajemen dan Usahawan Indonesia

This study aims to empirically prove the effect of corporate performance on the quality of corporate social responsibility (CSR) reports, moderated by the company's life cycle stages. The study uses a sample of companies listed in the LQ45 index as of August 2019, registered on the Indonesia Stock Exchange (IDX) for the period from 2017 to 2021. The method used in this study is pooled ordinary least squares (OLS) regression. The results show that corporate performance does not have a significant impact on CSR reports. However, firm life cycle stages have a significant effect with a negative correlation direction on …

Lead-Lag And Volatility Point Change Estimations For Cryptocurrencies, Jules Clement Mba, Jenipher Mutale, Ehounou Serge Eloge Florentin Angaman

Journal of Banking and Financial Economics

This study investigates the lead-lag relationships and volatility dynamics among four major cryptocurrencies – Bitcoin, Ethereum, Solana, and Polygon – during the turbulent year of 2022. We address three primary research questions: (1) To what extent do lead-lag relationships exist among major cryptocurrencies, and how do they challenge or support the notion of market efficiency in the crypto space? (2) How do volatility change points in different cryptocurrencies relate to each other and to major market events? (3) How can the identification of lead‑lag relationships and volatility change points inform cryptocurrency investment strategies and risk management practices? Using a continuous-time …

A Method To Incorporate Transition Risk Stress Testing Into Probability Of Default (Pd) Models For Retail Portfolios, Aneta Ptak-Chmielewska, Paweł Kopciuszewski, Alvaro Fernandez Toledo

Journal of Banking and Financial Economics

Climate risk is one of the type of risks in a bank’s portfolio which is not fully recognized, and its impact on the future overall risk changes is hidden due to lack of sufficient knowledge at the moment. One of the most common data comes from Network for Greening the Financial System (NGFS) scenarios related to climate change (physical risk) and climate policy and technology trends (transition risk). In the paper we focused on the transition risk scenarios and their impact on the economy and in particular on credit risk. Our main goal was to check the tendency in the …

Applying Deep Learning To Detect Abnormal Event Log Traces: A Non-Rule-Based Framework, Yunsen Wang, Tiffany Chiu, Miklos A. Vasarhelyi

Department of Accounting and Finance Faculty Scholarship and Creative Works

Process mining is an efficient method that can analyze the full population of transactions using the event log of business processes. Conventional rule-based process mining techniques can detect anomalies; however, it tends to trigger a large number of false alarms. To improve the efficiency of anomaly detection using process mining, this study adopts a deep learning-based classification approach to detect anomalies in the traces of event logs. This approach contributes to the literature by proposing a non-rule-based process mining technique based on deep learning. Results demonstrate that the proposed non-rule-based process mining method can help auditors focus on transactional anomalies.

Improved Estimation Of The Correlation Matrix Using Reinforcement Learning And Text-Based Networks, Cheng Lu, Papa Momar Ndiaye, Majeed Simaan

Department of Accounting and Finance Faculty Scholarship and Creative Works

We propose a data-driven methodology to shrink the correlation matrix and, hence, the covariance matrix using reinforcement learning (RL). Our approach does not impose any assumptions on the stock returns and can be applied to any covariance matrix target. It focuses on the special case of the global minimum variance portfolio and investigates the economic value of our methodology by utilizing text-based networks (Hoberg and Phillips, 2016). The portfolio selection problem, hence, boils down to determining the optimal shrinkage policy using RL. The empirical analysis utilizes a large universe of stocks covering more than 400 assets and 20 years as …

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 …