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2025

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Full-Text Articles in Business

Portfolio Construction Analysis, Liam Peoples Jan 2025

Portfolio Construction Analysis, Liam Peoples

Senior Honors Theses and Projects

This project examines the construction and evaluation of a diversified equity portfolio designed to generate positive risk-adjusted alpha relative to the S&P 500 over a five-year investment horizon. The analysis is conducted within a macroeconomic environment characterized by structurally higher interest rates, slowing real GDP growth, and elevating geopolitical and political risks. A comprehensive top-down assessment of financial, economic, industrial, global, political, housing, and trade dynamics forms the foundation for establishing portfolio selection criteria. Emphasis is placed on balance sheet strength, durable cash flows, and pricing power, reflecting the higher cost of capital and increased volatility relative to the pre- …

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Steering Through The Investment Potential Of Lear Corporation, Wazni Abed Jaber Jan 2025

Steering Through The Investment Potential Of Lear Corporation, Wazni Abed Jaber

Senior Honors Theses and Projects

Lear Corporation stands for the intersection of innovation and tradition within the electrically, autonomously, and sustainability-driven world. Based on our financial analysis of Lear using free cash flow projections, dividend valuation, and WACC modeling, we estimate the stock’s value at $140.28. Yet it seems that behind all those financial numbers there are so much larger questions: Can a 100-year-old automotive giant reform itself when consumer needs change rapidly, competition remains relentless, and regulators are under ever-increasing pressure? This analysis examines Lear’s financial strength and how it plans to adapt and grow amid ongoing industry change. In the end, Lear’s story …

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Signaling Innovation: The Nontax Benefits Of Claiming R&D Tax Credits, Bradford F. Hepfer, Hannah W. Judd, Sarah C. Rice Jan 2025

Signaling Innovation: The Nontax Benefits Of Claiming R&D Tax Credits, Bradford F. Hepfer, Hannah W. Judd, Sarah C. Rice

Faculty Publications

Using the IPO setting, we test whether firms signal the quality of their investments in innovation activities by claiming R&D tax credits. We find the presence and amount of the R&D credit are each associated with lower information asymmetry and with higher investor demand at IPO. Conservatively, we estimate that sample firms realize additional IPO proceeds of 32–45 percent of their creditable R&D expenditures, indicating economically significant non-tax benefits associated with the R&D credit. We verify the R&D credit signal by showing its positive association with firms’ future patenting activity, patent citations, and post-IPO stock returns. Results from these tests …

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A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu Jan 2025

A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu

Engineering Technology Faculty Publications

The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …

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Sticky Valuations, Systemic Risks: Quantifying The Denominator Effect Of Private Equity Holdings In U.S. Public Pensions, Rutvij Thakkar Jan 2025

Sticky Valuations, Systemic Risks: Quantifying The Denominator Effect Of Private Equity Holdings In U.S. Public Pensions, Rutvij Thakkar

CMC Senior Theses

U.S. public pension systems have increasingly adopted the "Yale Model," shifting assets under management into private equity to capture excess returns. However, the valuation asymmetry between marked-to-market public equities and smoothed private net asset values creates a mechanical denominator effect during market downturns. This thesis quantifies this passive allocation drift using a fixed-effects panel regression of 2,706 observations from 182 U.S. public pension plans between 2005 and 2024. I find that a 10 percentage point decline in public equity returns mechanically increases private equity allocation by 50.5 basis points, an effect that amplifies to 55 basis points during systemic crises. …

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Comparing Esg Reporting And Market Dynamics In The Technology And Consumer Industries: Analyzing Investor Reactions And Understanding The Future Of Corporate Reporting, Sophia Nguyen Jan 2025

Comparing Esg Reporting And Market Dynamics In The Technology And Consumer Industries: Analyzing Investor Reactions And Understanding The Future Of Corporate Reporting, Sophia Nguyen

CMC Senior Theses

The increasing emphasis on Environmental, Social, and Governance (ESG) reporting has sparked debate about its influence on market reactions and corporate transparency. This thesis investigates the impact of ESG disclosures on investor behavior and market dynamics within the technology industry specifically, focusing on the correlation between ESG performance and stock price volatility, as well as other financial ratios. This relationship will be compared to those of various companies within the consumer business industry, to determine whether investors have the same reactions towards consumer business companies compared to consumer-facing technology companies and other technology companies. Additionally, the study explores whether investors …

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Taking Stock: Investigating The Relationship Between Stock-Based Compensation And Share Price Performance In Public Software Companies, Ethan Choi Jan 2025

Taking Stock: Investigating The Relationship Between Stock-Based Compensation And Share Price Performance In Public Software Companies, Ethan Choi

CMC Senior Theses

There has been considerable debate around the practice of compensating employees and executives using stock-based compensation (“SBC”). Studies point to a myriad of both benefits and drawbacks of SBC; while in practice, firms with high SBC intensity have harmed shareholders through share count dilution. One industry in particular has drawn sharp investor criticism for its SBC intensity: software. Despite the software sector’s growing importance to the economy and influence in the public markets, no academic literature has analyzed the impacts of SBC on software companies specifically. Filling the gap, investor literature has sought to examine this topic in the context …

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National And Regional Bank Deposits And Their Relationship To The Stock Market, Joseph Zhong Jan 2025

National And Regional Bank Deposits And Their Relationship To The Stock Market, Joseph Zhong

CMC Senior Theses

Institutional investors started using bank deposits as a Leading Economic Indicator to predict stock market returns. I find that bank deposits lead stock market returns by 2 weeks at the national level. Examining the mechanism through which bank deposits affect stock market returns, existing literature postulates the Bank Deposit Lending Channel: increased bank deposits increase financial liquidity, powering and leading stock market returns. I do not find evidence for the Bank Deposit Lending Channel. In my regional analysis, I find that bank deposit behavior differs drastically between US regions. In general, regional bank deposits still lead stock market returns. In …

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Startup Equity To Stock Exchange: Key Drivers In Venture-Backed Ipo Journeys, Aryaman Shiv Khosla Jan 2025

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 …

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Sustainability Gaps: The Role Of Esg Disparities In M&A Performance During The Covid-19 Era, Anastasia Nikolaeva Jan 2025

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 …

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A Multiple Perspective Analysis On Urban Poverty In Developing Nations: A Case Study On Nigeria, Colonial Implications, And Modern-Day Outcomes, Julian Rivera-Williams Jan 2025

A Multiple Perspective Analysis On Urban Poverty In Developing Nations: A Case Study On Nigeria, Colonial Implications, And Modern-Day Outcomes, Julian Rivera-Williams

CMC Senior Theses

This paper will dissect urbanization and poverty in Nigeria as a case study of the challenges of underdevelopment and the lingering effects of colonialism in Africa. To draw a complete understanding of challenges faced by developing nations facing systemic underdevelopment, high poverty, and low productivity– nations like Nigeria, my research will uncover colonial impacts and post-colonial policies that initiated urban poverty and underdevelopment outcomes we see today. The purpose of my thesis is to encompass existing fragmented academia on the causes and consequences of underdevelopment and connect historical implications to current impacts of global development today including the influence of …

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Better Than Blume: An Approach To Forecasting Future Stock Betas With Linear Bayesian Models And Sample-Wide Priors, Kian Shah Jan 2025

Better Than Blume: An Approach To Forecasting Future Stock Betas With Linear Bayesian Models And Sample-Wide Priors, Kian Shah

CMC Senior Theses

This paper investigates the predictive accuracy of stock beta forecasts by comparing the widely used Blume adjusted beta to four Bayesian regression models I developed. Stock beta, an essential measure of systematic risk, plays a crucial role in portfolio management and valuation; however, raw betas lack forecasting capabilities. While various attempts have been made to develop alternative beta forecasting models, the Blume adjustment remains the most commonly used. To evaluate this, I created four Bayesian models utilizing a single, sample-wide set of priors, simplifying the computational requirements compared to stock-specific priors. The analysis is based on daily return data for …

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Uncovering Earnings Management In The U.S. Tech Industry: Strategies To Meet Or Just Beat Analyst Eps Expectations, Morgan Schilling Jan 2025

Uncovering Earnings Management In The U.S. Tech Industry: Strategies To Meet Or Just Beat Analyst Eps Expectations, Morgan Schilling

CMC Senior Theses

This paper investigates earnings management practices within the U.S. tech industry, focusing on firms that meet or just beat analyst EPS expectations. I specifically built off the Stubben (2010) model that used discretionary revenue to identify potential mismanagement across multiple industries. The modified model incorporates deferred revenue as well as accounts receivable to identify revenue recognition practices in an industry where subscription based revenue is highly relevant. I hypothesize that tech firms with aggressive revenue recognition strategies, particularly those with higher levels of accounts receivable, are more likely to engage in earnings management in order to meet EPS targets. A …

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Bridging The Gap: Exploring The Factors Influencing The Adoption Of Agriculture Technologies, Cyrus Gaylord Jan 2025

Bridging The Gap: Exploring The Factors Influencing The Adoption Of Agriculture Technologies, Cyrus Gaylord

CMC Senior Theses

This study investigates the factors influencing the adoption of precision agriculture technologies (AgTech) by farmers across U.S. states. While venture capital (VC) has driven innovation in AgTech startups, the adoption of these technologies by farmers is shaped by a range of economic, demographic, and behavioral factors. My research primarily focuses on demand-side factors, analyzing the role of farm size, government subsidies, education levels, digital engagement, and economic conditions in farmers' decisions to adopt AgTech solutions. Through a random-effects regression model using state-level data from 2021 and 2023, I examine how these factors influence adoption rates, finding that larger farm size, …

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Unlocking Value Or Signaling Trouble? Exploring The Determinants Of Immediate Market Reactions To Underwater Employee Option Exchanges, Riley Lai Jan 2025

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 …

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The Public Face Of Private Credit: Performance Dynamics In Business Development Companies, Russell Kuan Jan 2025

The Public Face Of Private Credit: Performance Dynamics In Business Development Companies, Russell Kuan

CMC Senior Theses

This study examines the performance dynamics of public Business Development Companies (BDCs) – a unique and growing component of the private credit market that bridges public and private financing. Publicly traded BDCs provide critical capital to underserved middle-market firms, while giving investors access to private credit opportunities. Using a hand-pulled dataset derived from 10-K filings and supplemental sources, this research identifies the key financial and operational factors driving BDC performance, with a focus on senior secured loan allocations, portfolio yield, and leverage strategies. The findings reveal that portfolio yield and senior secured loan allocations are significant predictors of total returns …

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Weighted War: A Team-Specific Approach To Optimizing Mlb Rosters, Paul Wendler Jan 2025

Weighted War: A Team-Specific Approach To Optimizing Mlb Rosters, Paul Wendler

CMC Senior Theses

This paper introduces a new baseball statistic, Weighted WAR (wWAR), designed to enhance Major League Baseball (MLB) roster optimization by incorporating team-specific factors into player valuation. Traditional WAR (Wins Above Replacement) offers a generalized measure of player performance relative to the league minimum salaried player. The study bridges the gap by developing wWAR, a customizable, team-specific framework for evaluating player impact. Taking player data, team data, and salary data from 2021-2023 the study proves the significance of wWAR’s impact relative to the traditional WAR statistic using case studies and regression analysis. The results demonstrate that wWAR outperforms traditional WAR in …

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Just As Advertised: The Perception And Effectiveness Of Artificial Intelligence In Digital Advertising, Brandon Isem Cáceres Jan 2025

Just As Advertised: The Perception And Effectiveness Of Artificial Intelligence In Digital Advertising, Brandon Isem Cáceres

CMC Senior Theses

What do you think when you hear “AI in advertising”? Does it spark intrigue, or does it feel like just another tech buzzword? In today’s fast-paced digital marketing landscape, connecting with consumers is a high-stakes challenge, and artificial intelligence is at the forefront of innovation. From automating campaigns to creating hyper-targeted content, AI promises efficiency and precision—but how do audiences perceive this shift? By analyzing key performance indicators (KPIs) like impressions, click-through rates, and cost-per-click in an an original A/B test, this thesis evaluates the perception and effectiveness of AI-driven advertising strategies. Combining historical insights, case studies, and an original …

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Altman Z-Score Relationship With Stock Price Performance After Layoff Announcements, Natalie Phillips Jan 2025

Altman Z-Score Relationship With Stock Price Performance After Layoff Announcements, Natalie Phillips

CMC Senior Theses

This paper examines the broader implications of such workforce reductions, historically prevalent in corporate environments since the advent of "new capitalism" in the late 20th century. Characterized by intense global competition, deregulation, and technological advancements, this era saw a surge in corporate downsizing as a means to enhance efficiency and competitiveness. Despite the strategic intentions, layoffs often signal underlying organizational challenges, prompting critical inquiry into their short- and long-term impacts on firm performance and investor sentiment. Central to this study is the exploration of whether a firm's Altman Z-Score, a metric predicting bankruptcy risk, influences stock price reactions following layoff …

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Labor Versus Capital: Impacts Of Employment Lawsuits On Capital Expenditures, Victoria Williams Jan 2025

Labor Versus Capital: Impacts Of Employment Lawsuits On Capital Expenditures, Victoria Williams

CMC Senior Theses

This thesis explores the relationship between employment-related litigation and capital expenditures (CapEx) within firms, particularly focusing on the trade-off between labor and capital as automation becomes increasingly viable. It investigates whether legal challenges in the form of labor lawsuits prompt companies to increase investments in automation to mitigate future labor risks and costs related to employing human workers. The research includes analysis of the impact of litigation on CapEx across different time periods and industries. Results suggest a significant, though not unequivocally robust, positive correlation between litigation and CapEx increases. Notably, the impact of litigation on CapEx was more pronounced …

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Pay-Performance Sensitivity: How Firm Performance Impacts Ceo Compensation, Yuefeng Ma Jan 2025

Pay-Performance Sensitivity: How Firm Performance Impacts Ceo Compensation, Yuefeng Ma

CMC Senior Theses

This study investigates the relationship between firm performance and CEO compensation, revisiting and extending the foundational framework established by Jensen and Murphy (1990). The sample comprises compensation data for the Chief Executive Officer (CEO) of all publicly traded companies on the Wharton Research Data Services (WRDS) Compustat – ExecuComp dataset from 1994 to 2023. Using Ordinary Least Squares (OLS) regression models, the analysis evaluates the sensitivity of CEO pay to changes in shareholder wealth and other performance metrics, while accounting for structural and temporal shifts driven by corporate governance, macroeconomic environment, and legislation. The findings reveal that changes in shareholder …

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How Did The Implementation Of Asc 842 Affect Credit Markets And Stock Performance Among Publicly Traded Firms With Extensive Lease Obligations?, Eduardo Hernandez Jan 2025

How Did The Implementation Of Asc 842 Affect Credit Markets And Stock Performance Among Publicly Traded Firms With Extensive Lease Obligations?, Eduardo Hernandez

CMC Senior Theses

I investigate whether the mandatory lease capitalization under ASC 842 led to measurable shifts in market-based assessments of firm risk, from both a creditor and investor perspective. Sampled firms and financial quarters are segmented based on lease intensity (a proxy for a firm’s reliance on leases) and firm size (based on market capitalization). Contrary to initial expectations, the results suggest that firms with higher lease intensity experienced a significant increase in stock returns and a decline in bond yields following the implementation of ASC 842, which indicates that the added transparency may have reassured equity and credit investors. This study …

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Forecasting Equity Betas Using Option-Implied Moments, Ivan Kolesnikov Jan 2025

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 …

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Accounting Metrics And Stock Sensitivity: A Comparative Analysis Between Small Cap And Large Cap Companies, Diana B. Carranza Jan 2025

Accounting Metrics And Stock Sensitivity: A Comparative Analysis Between Small Cap And Large Cap Companies, Diana B. Carranza

CMC Senior Theses

This study examines whether the cumulative abnormal returns (CARs) of small-cap companies are more sensitive to accounting metrics such as return on assets (ROA), return on investment (ROI), return on equity (ROE), and the debt-to-equity (D/E) ratio compared to large-cap companies. Using a sample of firms from the S&P 500 and S&P 600, moderated linear regression models were applied to test the relationship between profitability, leverage, and stock price reactions. The models include interaction terms with firm size and control for time-fixed effects. The results show that while profitability metrics are positively and significantly associated with CARs for large-cap firms, …

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Optimal Capital Allocation Decisions And Investments In The Nba, Anderson Cynkar Jan 2025

Optimal Capital Allocation Decisions And Investments In The Nba, Anderson Cynkar

CMC Senior Theses

This thesis investigates the relationship between salary concentration and winning in the NBA, primarily focusing on how the concentration of payroll among top-earning players influences success. Several concentration metrics were constructed and employed including the use of a Herfindahl-Hirschman Index (HHI) to measure the share of payroll each player receives across a team. I used fixed effects regressions and clustered standard errors at a team level to control for unobserved factors that remain the same over time. The results revealed a consistent inverted U-shape curve, signaling that an optimal concentration of capital exists for the highest paid player, two highest …

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The Pricing Of Forecast-Based Earnings Uncertainty In Equity Markets, Brenda G. Galvan Jan 2025

The Pricing Of Forecast-Based Earnings Uncertainty In Equity Markets, Brenda G. Galvan

CMC Senior Theses

This paper constructs a firm-level measure of earnings forecast uncertainty by adapting the macroeconomic methodology of Jurado et al. (2015) to micro-level financial statement data from Compustat and CRSP. Using a two-stage estimation procedure, I first forecast the scaled year-over-year changes in earnings, defined as the change in income before extraordinary items normalized by firm sales,based on lagged firm fundamentals. I then model the squared forecast errors to extract the unpredictable component of earnings variation, generating a forward-looking, firm-specific measure of ex-ante uncertainty. Empirically, I examine whether this forecast uncertainty measure is priced in equity markets by regressing future stock …

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The Effect Of The Tcja And Cares Act On Charitable Contributions And The Financial Health Of The Nonprofit Sector, Nathanio A. Bright Jan 2025

The Effect Of The Tcja And Cares Act On Charitable Contributions And The Financial Health Of The Nonprofit Sector, Nathanio A. Bright

CMC Senior Theses

This thesis examines the impact of the Tax Cuts and Jobs Act of 2017 and the Coronavirus Aid, Relief, and Economic Security Act of 2020 on charitable contributions and nonprofit financial health. The standard deduction increase introduced by the TCJA disincentivized middle to low-income earners from making contributions. In March 2020, Congress temporarily increased the AGI limit on charitable deductions while simultaneously offering an above-the-line deduction for all U.S. taxpayers. While earlier studies have analyzed the effect of the TCJA in disincentivizing charitable contributions, no study has examined the moderating effect of the TCJA and CARES Act in affecting contributions …

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The Counter-Cyclicality Of Earnings Management: Evidence Through 2024, William J. Hall Jan 2025

The Counter-Cyclicality Of Earnings Management: Evidence Through 2024, William J. Hall

CMC Senior Theses

This thesis examines the relationship between macroeconomic conditions and earnings management, extending the analysis of Hillegeist and Lin (2019) using updated data through 2024. Based on 16,635 firm-quarter observations, my study affirms the results found in prior literature and confirms that there is a negative association between the change in GDP and the direction of firms’ earnings management behavior, indicating that earnings management is counter-cyclical. My study also finds that firms manage earnings asymmetrically based on the current macroeconomic state, with firms managing earnings more in economic downturns and less in expansions. My findings suggest that despite major macroeconomic and …

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Optimizing Bitcoin Allocation: Predictability Of Bitcoin Portfolio Weights Through Macroeconomic Variables, Kirby Baynes Jan 2025

Optimizing Bitcoin Allocation: Predictability Of Bitcoin Portfolio Weights Through Macroeconomic Variables, Kirby Baynes

CMC Senior Theses

This thesis examines whether Bitcoin is a beneficial asset in a diversified, mean-variance optimized portfolio and whether its portfolio weights can be reliably predicted using macroeconomic variables. Using data from December 2013 to February 2025, the analysis applies rolling-window portfolio optimization and OLS regressions with Newey-West standard errors to test the relationship between Bitcoin allocations and a set of macroeconomic indicators. Results show that Bitcoin receives non-zero weights across portfolios and that its optimal allocation is sensitive to variables such as changes in the Credit Spread and Yield Curve. These variables were statistically significant in several models and produced meaningful …

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Scaling Social Impact Bonds In The United States: Barriers, Incentives, And Policy Solutions, Angelique M. Rivanis Jan 2025

Scaling Social Impact Bonds In The United States: Barriers, Incentives, And Policy Solutions, Angelique M. Rivanis

CMC Senior Theses

Social Impact Bonds (SIBs) are a form of outcomes-based financing that fund social programs by shifting financial risk from the government to private investors. While SIBs have gained international traction, their long-term viability in the United States depends on structural reforms. This thesis examines two completed U.S. SIB projects, Rikers Island in New York and the Just-in-Reach project in Los Angeles, through an analysis of their design, implementation, and outcomes. While both projects focus on criminal justice, they provide context about the scalability of SIBs across multiple social policy areas.The three primary constraints are high transaction costs, limited investor interest, …

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