Portfolio and Security Analysis Commons^™

From Static Λ To Moving Penalties: Dynamic Regularization In Mean-Variance Portfolio Choice, Ariel Santiago

CMC Senior Theses

This thesis evaluates whether dynamically tuned weight penalties can improve high-dimensional mean-variance portfolio choice. Classical Markowitz portfolios perform poorly when the number of assets is large relative to the data, because small estimation errors in means and covariances can generate extreme, fragile allocations. A common remedy is to regularize the weights using L1 (lasso), L2 (ridge), or elastic-net penalties, but these are typically chosen once and held fixed. Using monthly excess returns on the 48 Fama-French industry portfolios from January 2010 to June 2025, this thesis compares penalized mean-variance and minimum-variance strategies under long-only and long-short constraints, with and without …

The Elements Necessary For A Successful Startup, Ciaran Mcgurran

Faculty Curated Undergraduate Works

This paper seeks to uncover what really goes into a startup company to get it off the ground, keep it afloat and growing, and mitigate competition through a case study focus on a software-aided investment-strategy building company. Through an interview of the founder and CEO of the case company as well as first-hand experience working in the company, this paper will seek to gain an understanding of the necessary elements and planning that must go into a startup company for it to have success. Additional online texts also provide supplementary general information on startups and how the planning process is …

The Effect Of Disaggregated Country Risk On Foreign Portfolio Investment Flows In South Africa, Paul-Francois Muzindutsi, Tristan Kyle Govender, Nokwanda Nkwanyana, Sanelisiwe Zulu, Nondumiso Myeni, Sinegugu Khuzwayo, Fikile Dube

Economic and Business Review

This study explores the relationship between disaggregated country risk and foreign portfolio investment (FPI) flows in South Africa, focusing on both the long-run and short-run effects of economic, financial, and political country risk measures on net foreign purchases of shares (NFPS) and net foreign purchases of bonds (NFPB) during the period from 1995 to 2019. We employed autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) models to assess the relationships between the variables. The results indicate that all disaggregated country risk measures have a long-run effect on NFPS and NFPB, and the impacts of these risks are asymmetric. …

Speculative Bubbles In The Recent Ai Boom: Nasdaq And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi

Research Collection School Of Economics

The recent artificial intelligence (AI) boom covers a period of rapid innovation and wide adoption of AI intelligence technologies across diverse industries. These developments have fueled an unprecedented frenzy in the Nasdaq, with AI-focused companies experiencing soaring stock prices that raise concerns about speculative bubbles and real-economy consequences. Against this background, this study investigates the formation of speculative bubbles in the Nasdaq stock market with a specific focus on the so-called Magnificent Seven (Mag-7) individual stocks during the AI boom, spanning the period from January 2017 to January 2025. We apply the real-time PSY bubble detection methodology of Phillips et …

Falling Short In The Digital Age: Evaluating The Performance Of Data Center Etfs, Davinder K. Malhotra, Ivar Kirkhorn, Frank Ragone

School of Business Faculty Papers

This study evaluates the performance of U.S. data center Exchange-Traded Funds (ETFs) relative to major equity and technology benchmarks, using monthly returns from January 2000 through December 2024, with particular emphasis on the COVID-19 period and the subsequent post-vaccine era. Data center ETFs have not provided better risk-adjusted returns even though they are often advertised as access points to the digital economy. Digital infrastructure demand increased through the pandemic but did not improve the performance of these funds which stayed weak across both traditional and conditional multi-factor asset pricing models. These ETFs struggle with asset selection and market timing proficiency, …

The Startup Ecosystem In Southern Nevada: Growth, Energy, And Emerging Entrepreneurship In 2025, Len Jessup, Sean Curry

Policy Briefs and Reports

The startup ecosystem in Southern Nevada has undergone significant transformation during the past decade, evolving from a fragmented and nascent environment into a dynamic and increasingly coordinated landscape. This study examines the growth of the Southern Nevada startup ecosystem, analyzing key components such as funding sources, incubators, accelerators, and public-private collaborations. Utilizing both quantitative and qualitative data, including investment trends, economic impact reports, and interviews with over 100 stakeholders, this policy brief provides a comprehensive assessment of the strengths and gaps within the ecosystem. Key findings indicate that while the region has made substantial progress, particularly in fostering early-stage investments …

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 …

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 …

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 …

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 …

Financial Risk In A Changing Climate, Mashuk S. Rahman

LSU New Orleans Theses and Dissertations

Essay 1:

Given the missing-not-at-random (MNAR) nature of carbon emissions figures under the voluntary disclosure regulator environment, this research imputes synthetic emissions figures for both disclosing and non-disclosing publicly traded US firms, using an IV approach adapted for sample bias correction. The forward-observing implied cost of equity capital measure is consistently higher for carbon-intensive firms regardless of disclosure decision. This higher cost found in the large swath of high-emitting firms reduces the net present value of green transition investments, thus fueling existing research on the counterproductive natures of capital allocation in efforts to reduce corporate pollution. Contrary to emerging research, …

Identifying Risk-Taking Behavior And Prudent Asset Allocation In Pension Funds In Indonesia, Mohammad Alvin Prabowosunu, Reza Yamora Siregar, Rosi Melati, Devan Hadrian, Rizky Rizaldi Ronaldo

Economics and Finance in Indonesia

This research aims to investigate asset allocation strategies in the pension fund industry in Indonesia in relation to liability profiles and risk-taking behavior. Utilizing data on market returns for each asset class and several financial indicators of pension funds, we applied the risk-taking behavior model proposed by Andonov & Rauh (2022) and a modified model to observe the Liability-Driven Investment (LDI) strategies of pension funds in Indonesia. We discovered that private defined contribution pension fund schemes (PPIP) tend to exhibit higher risk-taking behavior, primarily through investment allocation in equities. On the other hand, private defined benefit pension funds (PPMP) demonstrate …

The Mathematics Of Financial Portfolio Optimization Incorporating Environmental, Social, And Governance Score Information, Ian Driskill

Master's Theses

We numerically investigate the effects that Environmental, Social, and Governance (ESG) scores have on portfolio optimization with Modern Portfolio Theory assumptions and how ESG scores correlate with the market returns of a rated company's stock. Additionally, we review and analyze a research paper published in the Journal of Financial Economics regarding ESG investing titled “Responsible investing: The ESG-efficient frontier” by Pedersen, Fitzgibbons, and Lukasz. Our overall goal is provide insight for socially responsible inclined investors, to help them understand what ESG scores tell us and how those scores may effect their overall investment returns."

The Alchemy Of Diversification: A Deep Dive Into The Stock-Bond Correlation, Evan Coffey

Business and Economics Honors Papers

This research delves into the intricate dynamics of the stock-bond correlation, seeking to reveal the underlying factors that drive its fluctuations. Through a comprehensive analysis of empirical data, it investigates the diverse array of influences that contribute to the variability in the relationship between stock and bond returns. Factors such as inflation, unemployment, market volatility, FED policy, and market growth are scrutinized for their impact on altering the correlation pattern. Additionally, the research explores the implications of the stock-bond correlation on portfolio diversification. By explaining the multifaceted nature of the correlation, this study provides valuable insights for investors, policymakers, and …

A Stock Optimization Problem In Finance: Understanding Financial And Economic Indicators Through Analytical Predictive Modeling, Aditya Chakraborty, Chris Tsokos

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Given the significant impact of healthcare stock changes on the global economy, including its GDP and other financial factors, we endeavored to create an analytical prediction model for forecasting the annual percentage change of these stocks. Our model, which is nonlinear, incorporates five key discoveries. We focused on predicting the average weekly closing price (pWCP) of AbbVie Inc. (North Chicago, IL, USA)'s healthcare stock (ABBV) from 1 August 2017 to 31 December 2019. The stock was chosen based on the low beta risk, high dividend yield, and high yearly percentage return criteria. Alongside predicting the weekly stock price, our model …

Capturing Value In Emerging Markets: A Real Options Perspective On Resilience And Risk, Alexander Castillo

CMC Senior Theses

This paper examines the evaluation of investment opportunities in emerging markets (EMs) through real options analysis, against the backdrop of their unique risk profiles and the recent trend of EMs exhibiting resilience in economic performance. While EMs are associated with high growth rates and infrastructure gaps, they have shown adaptability, particularly in monetary policy responses to inflation. This paper explores the sensitivity of net present value (NPV) and real options (RO) to changes in the capital asset pricing model, adapting the yield spread to capture default risk and local risk-free rates. Utilizing oil benchmark price data, the paper constructs a …

Are Bond Returns Predictable With Real-Time Macro Data?, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

We investigate the predictability of bond returns using real-time macro variables and consider the possibility of a nonlinear predictive relationship and the presence of weak factors. To address these issues, we propose a scaled sufficient forecasting (sSUFF) method and analyze its asymptotic properties. Using both the existing and the new method, we find empirically that real-time macro variables have significant forecasting power both in-sample and out-of-sample. Moreover, they generate sizable economic values, and their predictability is not spanned by the yield curve. We also observe that the forecasted bond returns are countercyclical, and the magnitude of predictability is stronger during …

Ucimco Endowment Semi-Annual Presentation, Fall 2023, Will Alain, Billy Cardino, Tyler Causa, Patrick Collins, Bill Cook, Cole Grubbs, Kieran Hollander, Dylan Hollick, Jared Minnichbach, Alexandra Nenish, Jordan Pick, Kipp Ransome, Kirk Ransome, Kyle Rosenfeld, Tyler Sargent, Michael Scheller, Max Shilstone, Mckade Trauger, Nick Troha

Business and Economics Presentations

The Ursinus College Investment Management Company (UCIMCO) consists of groups of student analysts who manage endowment-style and stock selection funds on behalf of the college endowment. This presentation, by the endowment team, examines performance and investment philosophy while discussing selections in the portfolio including: fixed income, U.S. and international equities, real estate and commodities.

Ursinus College Women's Investment Fund, Fall 2023, Sarah Dilello, Emily Carkhuff, Katie Ciuffreda, Laura Bradley, Samantha Mallen, Carly Troilo, Camila Knipe, Isabella Scarpetti, Mayleigh Rickey, Carlie Shiller

Business and Economics Presentations

The Ursinus College Investment Management Company (UCIMCO) consists of groups of student analysts who manage endowment-style and stock selection funds on behalf of the college endowment. In 2020, a group of women students began to manage their own fund. This presentation reviews activities of the Fall 2023 semester and analyzes the stock performance of various companies including: Salesforce, InterDigital Inc., SPX Technologies, NextEra Energy and RenaissanceRe Holdings.

Stock Splits And Corporate Peer Effects, Albert J. Saad

Theses and Dissertations

We find that a company’s decision to execute a stock split is affected by the number of stock splits carried out by its peers. Through the use of a broad peer group construction methodology, we also reveal the presence of asymmetric effects with regard to companies of different market capitalization size. In the periods of 1983–1996 and 1997–2009 we find that firms are more likely to split their stock if more of their peers have recently done so. However, in the period of 2010–2019 we see that the opposite is true. These results provide further evidence on social learning from …

Ownership Of Esg Characteristics, Mark E. Bateman, Lisa R. Goldberg

School of Public Service Faculty Publications

A portfolio can be viewed as the collection of the businesses, policies and practices of constituent companies. We measure investors' Ownership of this collection. Ownership metrics aggregate an assortment of company specific Environmental, Social and Governance (ESG) characteristics to the portfolio level, and they can inform investment and engagement decisions. Relative to a benchmark, investor Ownership is active and satisfies a zero-sum property, which underscores the distinction between Ownership and impact. Ownership of ESG characteristics may be interpreted as ascribing ethical responsibility, but that conclusion and any decisions that result from it belong to the investor.

Presidential Economic Approval Rating And The Cross-Section Of Stock Returns, Zilin Chen, Zhi Da, Dashan Huang, Liyao Wang

Research Collection Lee Kong Chian School Of Business

We construct a monthly presidential economic approval rating (PEAR) index from 1981 to 2019, by averaging ratings on the president’s handling of the economy across various national polls. In the cross-section, stocks with high betas to changes in the PEAR index significantly under-perform those with low betas by 1.00% per month in the future, on a risk-adjusted basis. The low PEAR beta premium persists up to one year, and is present in various sub-samples and even in other G7 countries. PEAR beta dynamically reveals a firm’s perceived alignment to the incumbent president’s economic policies and investors seem to misprice such …

Investor Sentiment And Paradigm Shifts In Equity Premium Forecasting, Liya Chu, Kai Li, Tony Xue-Zhong He, Jun Tu

Research Collection Lee Kong Chian School Of Business

This study investigates the impact of investor sentiment on excess equity return forecasting. A high (low) investor sentiment may weaken the connection between fundamental economic (behavioral-based non-fundamental) predictors and market returns. We find that although fundamental variables can be strong predictors when sentiment is low, they tend to lose their predictive power when investor sentiment is high. Non-fundamental predictors perform well during high-sentiment periods while their predictive ability deteriorates when investor sentiment is low. These paradigm shifts in equity return forecasting provide a key to understanding and resolving the lack of predictive power for both fundamental and non-fundamental variables debated …

Forecasting Equity Index Volatility By Measuring The Linkage Among Component Stocks, Yue Qiu, Tian Xie, Jun Yu, Qiankun Zhou

Research Collection School Of Economics

The linkage among the realized volatilities of component stocks is important when modeling and forecasting the relevant index volatility. In this article, the linkage is measured via an extended Common Correlated Effects (CCEs) approach under a panel heterogeneous autoregression model where unobserved common factors in errors are assumed. Consistency of the CCE estimator is obtained. The common factors are extracted using the principal component analysis. Empirical studies show that realized volatility models exploiting the linkage effects lead to significantly better out-of-sample forecast performance, for example, an up to 32% increase in the pseudo R2. We also conduct various forecasting exercises …

A Data Envelopment Analysis Approach To Portfolio Selection: An Application To The Blue Chip Stocks In The Philippine Stock Exchange (2010-2019), Vishal Bhagia, Colleen Monica K. Chiu, Paulynne J. Castillo, Roberto B. Raymundo, Joel Q. Tanchuco

Angelo King Institute for Economic and Business Studies (AKI)

There has been a growing interest in the application of data envelopment analysis (DEA) as a nonparametric approach in portfolio optimization due to its flexibility in overcoming the limitations of the conventional mean-variance portfolio (MVP) model. Therefore, this study aims to validate the allocative efficiency of the DEA cross-efficiency model using blue chip stocks in the Philippine Stock Exchange from 2010 to 2019. This study finds that the proposed model is able to distinguish a unique set of best-performing stocks across each holding period and outperforms the MVP more consistently. The results of this study suggest that the proposed DEA …

Ucimco Endowment Semi-Annual Presentation, Fall 2021, Kareem Elghawy, Kyle Blaze, Jeremy Calabro, Ryan Carkhuff, Jacob Connelly, Christopher Craven, Zachary Crebbin, Olivia Defusco, Colin Holtzman, Brooke Hurley, Matthew Mcmahon, Jared Minnichbach, Zoey Nikolaou, Jared O'Connell, Erik Ojert, Thomas Pancheri, Christopher Porzelt, Tyler Sargent, Scott Sloan, Storm Snape, Matthew Snyder, Matthew Tuley

Business and Economics Presentations

The Ursinus College Investment Management Company (UCIMCO) consists of groups of student analysts who manage endowment-style and stock selection funds on behalf of the college endowment. This presentation, by the endowment team, examines performance and investment philosophy while discussing selections in the portfolio including: developed and emerging market equities, U.S. equities, corporate bonds, U.S. treasuries and U.S. real estate.

Ucimco Stock Selection Semi-Annual Presentation, Fall 2021, Michael Buck, Stevie Benson, Walker Hamilton, Mason Jolivette, Harrison Lorenc, Devin Molina, Stephen Schoenborn, Jack Shimer, Mohammad Sufyan, John Wagner, Riley Yee

Business and Economics Presentations

The Ursinus College Investment Management Company (UCIMCO) consists of groups of student analysts who manage endowment-style and stock selection funds on behalf of the college endowment. This presentation, by the stock selection team, examines quarterly performance and strategy while discussing the most recent selections in the portfolio: Agios Pharmaceuticals, CubeSmart, Splunk and Nexstar Media Group.

Ursinus College Women's Investment Management Company, Fall 2021, Maddy Sorokanych, Taylor Beaumont, Shelby Boyle, Laura Bradley, Olivia Defusco, Rachel Grossbauer, Jess Gutekunst, Rebecca Lewis, Alice Nathanson, Madelyn Nau, Ketlee Staz, Marcella Thanh-Guyet, Theodora Zeibekis

Business and Economics Presentations

The Ursinus College Investment Management Company (UCIMCO) consists of groups of student analysts who manage endowment-style and stock selection funds on behalf of the college endowment. In 2020, a group of women students began to manage their own fund. This presentation reviews activities of the Fall 2021 semester and analyzes the stock performance of various companies including: Anthem, Inc., American Well Corporation, Netflix, Travel and Leisure Company, Cognizant Technology Solutions, Oshkosh and the Hershey Company.

What Is New In Value Investing? A Systematic Literature Review, Florencia Roca

Journal of New Finance

This study provides an overview of the academic research in the field of Value Investing (VI), identifying the knowledge structure, influential authors, connections between relevant papers, and salient trends. Following a defined protocol, the Google Scholar database is examined to extract, rank, and connect influential books and academic articles in VI. Through a systematic literature review methodology, this study retrieves a database of 400 academic works published between 1965 and 2020. Using rigorous bibliometric and visualization tools, it identifies four major research clusters: (1) competing explanations of the value premium, (2) anomalies research, (3) momentum and fundamentals, and (4) wrong …

Japanese Monetary Policy And Its Impact On Stock Market Implied Volatility During Pleasant And Unpleasant Weather, Marinela Adriana Finta

Research Collection Lee Kong Chian School Of Business

We investigate the effect of Japan's Monetary Policy Meeting releases on the intraday dynamics of the Nikkei Stock Average Volatility Index and its futures during pleasant and unpleasant weather. We show that at the time of a monetary policy release when the temperature is pleasant, there is a significant decline in Japanese equities' implied volatility and futures, which lasts for about 10 min and 5 min, respectively. This decline is longer and exhibits a greater variation when releases occur during cold days. Finally, we emphasize the achievable economic profits and losses, given the reaction of Nikkei VI futures to the …