Portfolio and Security Analysis Commons^™

Ai-Scm Cmm: A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines, Omar F. El-Gayar, Patti Brooks, Insu Park

Annual Research Symposium

Artificial intelligence is increasingly deployed in supply chain management, yet many organizations struggle to align adoption efforts with process readiness, data quality, governance, and workforce capabilities, and they still lack validated supply chain specific roadmap for assessing readiness, sequencing investments, and reducing implementation risk. This study develops and evaluates a Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management to address that gap. Using a design science research approach, the study synthesizes prior literature and practitioner knowledge to define maturity dimensions, capability indicators, and staged progression levels for AI integration in supply chain contexts. The artifact and assessment …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

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 …

Selling Trust: The Evolution Of Relationship Selling In The Investment Industry, Kaden N. Kroslak, Frederik Beuk

Williams Honors College, Honors Research Projects

This honors research project examines how relationship selling in the investment industry, especially within registered investment advisory firms, has evolved over time. Advisor-client relationships are being shaped by technology, analytics, regulations, and a frenzy of information. This literature review explores whether the stated factors of technology, credibility, regulations, information access, and fiduciary duty, caused change in how investment advisors create, maintain, and grow client relationships within the context of trust. The project styling, in form of a literature review analyzes peer-reviewed studies on financial technology, artificial intelligence, psychological approaches, and regulatory systems. The outcome is a paper which helps fill …

Experimental Methods In Predicting Market Drift And Other Portfolio Optimization Factors Using Graph Theory, Perry Harrison Zhang

Computer Science Senior Theses

No abstract provided.

Balancing Perspectives: Assessing The Integration Of Ai In Academic Support Within Higher Education, Sami Ali

2024 Spring Honors Capstone Projects - Archive

The rapid advancement of A The rapid proliferation of Artificial Intelligence (AI) across various sectors highlights its transformative potential, yet its integration into educational settings raises ethical concerns, particularly regarding its misuse by students. This study conducts a detailed sentiment analysis and systematic literature review to examine the diverse perspectives on AI within education, from both academic and non-academic viewpoints. Utilizing advanced data mining tools to analyze sentiments and trends, this research reveals a complex landscape where optimism about AI’s capabilities is tempered by concerns over ethical implications and potential misuse. The findings contribute to the dialogue on leveraging AI …

Robo-Advisers And Investor Behavior, Benjamin Loos, Pengfei Ma, Alessandro Previtero, Andres Hackethal

Sim Kee Boon Institute for Financial Economics

Using data from a large German retail bank, we investigate the effects of the introduction of a robo-advisory tool on clients’ portfolios. Robo clients experience a significant increase in financial risk-taking and improve portfolio efficiency along several dimensions (more diversification, less home bias, more investment in passive funds, reduced investment fees). Our evidence is consistent with robo-advisers being a more cost-effective approach for offering financial advice, especially to less sophisticated investors.

Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba

SMU Data Science Review

Non-Fungible Tokens (NFTs) enable ownership and transfer of digital assets using blockchain technology. As a relatively new financial asset class, NFTs lack robust oversight and regulations. These conditions create an environment that is susceptible to fraudulent activity and market manipulation schemes. This study examines the buyer-seller network transactional data from some of the most popular NFT marketplaces (e.g., AtomicHub, OpenSea) to identify and predict fraudulent activity. To accomplish this goal multiple features such as price, volume, and network metrics were extracted from NFT transactional data. These were fed into a Multiple-Scale Convolutional Neural Network that predicts suspected fraudulent activity based …

Art Investment Funds And Nfts, Francesca Osborne

MA Theses

Art price inflation, rising levels of wealth, and the artworld’s financialization have
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/="/">momentous returns realized by successful collectors, art investment funds have
/="/">emerged with the conviction art can be used as a speculative or strategic alternative asset. However, the majority of art funds have been dissolved or put on hold. This paper examines the investment characteristics of fine art to uncover the rationale for art investment fund failures, finding the art market’s inefficiency as the foremost explanation. Subsequently, non-fungible token (NFT) art and …

Non-Profit Accounting And Financial Strategies For The Exponential Age, Nathan A. Judd

Honors Projects

This research project was designed to introduce the current state of digital assets with all of its potential risks and rewards within the non-profit business sector. Non-profit organizations receive donations constantly, but what happens when an individual gives a digital asset such as Bitcoin to the non-profit? The answer is quite complicated from an accounting and strategic business approach but will be unpacked and reviewed. Other nonprofit topics included are the exponential network effects for digital assets, official FASB accounting regulation treatments for digital assets, taxation documentation from the IRS regarding digital assets, and potential implementation strategies to consider.

Active Learning With Cybersecurity, Carole Shook

TFSC Publications and Presentations

A global campus grant was obtained in Spring 2020 to develop modules for Cybersecurity. This presentation encompasses the use of Cyberciege and case studies that require active learning of students.

The Cryptic Nature Of Crypto Digital Assets Regulations: The Ripple Lawsuit And Why The Industry Needs Regulatory Clarity, Jacqueline Hennelly

Fordham Journal of Corporate & Financial Law

The tension and associated time lag between technology and regulation has been well documented. Paradigmatic of this phenomenon is the global evolution of blockchain technology and digital assets. Digital assets in the blockchain allow users to transact directly without financial intermediaries. However, the regulatory guidelines for the assets, their issuance, and the subsequent transactions are unclear. The Securities and Exchange Commission (SEC) has filed an action to apply its existing regulations and the judicial interpretations to Ripple’s issuance of XRP, its token, and Ripple’s control over subsequent user transactions of XRP. This Note uses SEC v. Ripple as a case …

Misvaluing Effective Investors In Intangible Capital, Dustin Lind

CMC Senior Theses

Cohen et al. (2013) measure a firm’s ability at investing in knowledge capital, a type of intangible capital, through a model that captures how well a firm translates R&D intensity into future sales growth. Using this model, they show that an investment portfolio comprised of firms that have high R&D spending ability and high R&D intensity earn significant positive abnormal returns. I modify their model to capture a broader investment in intangible capital by replacing R&D intensity with SG&A intensity and substituting sales growth with gross profit growth. My measure of ability at investing in intangible capital has two main …

Bitcoin As A Viable Alternative To Legacy Reserve Assets: Reasons, Risks, And Adoption, Jeffry Blake Dunson Ii

Senior Honors Theses

Reserve assets include commodities, currencies, or other capital held by institutions as a hedge against the fluctuations of external factors. While the United States’ rise to power helped establish the US dollar as the most predominant reserve asset of the past fifty years, current events & the fast pace of technological advancement has exposed some limitations in the system. Blockchain technology has allowed for assets with cryptographically verifiable integrity that fundamentally depart from the US dollar standard and has potential to overhaul reserve assets as we know it. The course of this research details the downsides of legacy reserve assets, …

Stock Trend Prediction Using Candlestick Charting And Ensemble Machine Learning Techniques With A Novelty Feature Engineering Scheme, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Stock market forecasting is a knotty challenging task due to the highly noisy, nonparametric, complex and chaotic nature of the stock price time series. With a simple eight-trigram feature engineering scheme of the inter-day candlestick patterns, we construct a novel ensemble machine learning framework for daily stock pattern prediction, combining traditional candlestick charting with the latest artificial intelligence methods. Several machine learning techniques, including deep learning methods, are applied to stock data to predict the direction of the closing price. This framework can give a suitable machine learning prediction method for each pattern based on the trained results. The investment …

A False Sense Of Security: How Congress And The Sec Are Dropping The Ball On Cryptocurrency, Tessa E. Shurr

Dickinson Law Review (2017-Present)

Today, companies use blockchain technology and digital assets for a variety of purposes. This Comment analyzes the digital token. If the Securities and Exchange Commission (SEC) views a digital token as a security, then the issuer of the digital token must comply with the registration and extensive disclosure requirements of federal securities laws.

To determine whether a digital asset is a security, the SEC relies on the test that the Supreme Court established in SEC v. W.J. Howey Co. Rather than enforcing a statute or agency rule, the SEC enforces securities laws by applying the Howey test on a fact-intensive …

A Little Birdy Told Me: Analysis Of The Impact Of Public Tweet Sentiment On Stock Prices, Alexander Novitsky

CMC Senior Theses

The combination of the advent of the internet in 1983 with the Securities and Exchange Commission’s ruling allowing firms the use of social media for public disclosures merged to create a wealth of user data that traders could quickly capitalize on to improve their own predictive stock return models. This thesis analyzes some of the impact that this new data may have on stock return models by comparing a model that uses the Index Price and Yesterday’s Stock Return to one that includes those two factors as well as average tweet Polarity and Subjectivity. This analysis is done with ten …

Lifeguard: "Providing Safety In An Unsafe World", Lincoln Bent, Morgan Gafford, Will Ransdell

Governor's Scholars Program Poster Presentations

A poster presented by Lincoln Bent, Morgan Gafford and Will Ransdell for the class Business, Accounting and Entrepreneurship: Proposed Business Plans.

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

Robo-Advisors And Wealth Management, Kok Fai Phoon, Cher Chiew Francis Koh

Research Collection Lee Kong Chian School Of Business

The recent rise of robo-advisors (RAs) has threatened the traditional fund and wealth management industry. RAs' assets under management (AUM) have risen manyfold through competitiveness on pricing, transparency and services and better expected returns linked to the use of quantitative finance and technology with less subjective human intervention. This article examines the postulation that RAs have an edge over traditional wealth managers. RAs can combine the judgement and computing resources of both human and machine, or bionic power, to provide alternative wealth management services to meet the diverse needs of private wealth clients. However, the authors expect traditional wealth managers …

Reflective Practice Series: Selected Instructional Models Using Synchronous Video Conferencing Software, Martin W. Sivula

MBA Faculty Conference Papers & Journal Articles

With the vast array of resources available to instructors, one would think that instruction and teaching would yield success for all learners. Now, well into the 21^st century has much changed in the classroom? Certainly, movable desks and chairs, advanced audio and visual equipment, and a plethora of all types of technologies which might be able to enhance training and education. Over the last several decades research on individualized instruction, cognitive science, educational psychology, and multimedia instruction (to name a few) have permeated the literature on instruction. With all the research and the vast array of studies on improving …

Cryptocurrency: The Argument For Its Allocation Within The Traditional Investor's Portfolio, Nicholas Costanza

Finance Undergraduate Honors Theses

This research explores the significance of cryptocurrencies upon the “traditional” investor’s portfolio, particularly elaborating on the potential returns and advocating for its allocation within any balanced (or diversified) portfolio. Cryptocurrencies are a relatively new asset and are still considered to be extremely risky. They are characterized by ever-fluctuating prices, ongoing government regulation, and overall market skepticism. However, the potential of major cryptocurrencies (Bitcoin, Ripple, Ethereum, and Litecoin) to produce major returns cannot be easily ignored. This paper builds upon the research of those in academia, as well as highly respected investors. The hope is to outline both the pros and …

Strategic Implications Of Blockchain, William R. Adams

Marriott Student Review

This thesis introduces blockchain, the underlying technology of cryptocurrencies such as Bitcoin, and discusses how best to conceptualize it relative to other technologies. Following an explanation of the fundamentals of blockchain, also known as the distributed ledger, I identify the characteristics of the technology. Building upon blockchain’s inherent strengths and limitations, I explore potential business applications of blockchain. Finally, I recommend that leaders continue to track the development and adoption of blockchain technology, even if they decide that implementing it does not align with their organization’s strategy at present.

Buzzwords, Evan D. Poff

Marriott Student Review

This feature will explain the following buzzwords:

• Blockchain
• Cryptocurrency
• Work-Life Integration
• Passive Equities
• Risk-Adjusted Returns

Glossary Of Business Evidence, Paul C. Boyd

MBA Faculty Conference Papers & Journal Articles

No abstract provided.

An Analysis Of The Relationship Between Security Information Technology Enhancements And Computer Security Breaches And Incidents, Linda Betz

CCAC Theses and Dissertations

Financial services institutions maintain large amounts of data that include both intellectual property and personally identifiable information for employees and customers. Due to the potential damage to individuals, government regulators hold institutions accountable for ensuring that personal data are protected and require reporting of data security breaches. No company wants a data breach, but finding a security incident or breach early in the attack cycle may decrease the damage or data loss a company experiences. In multiple high profile data breaches reported in major news stories over the past few years, there is a pattern of the adversary being inside …

F.A.C.E.S. (Faculty Academic Community Education Showcase): Professional Growth Experiences In A Career University, Paul J. Colbert, Ph.D.

MBA Faculty Conference Papers & Journal Articles

Institutes of higher education exist for the purpose of developing, fostering, nurturing, and stimulating the intellectual growth and development of students. The core values of a college education provide students conceptual and practical educational opportunities that focus on improving their skills and knowledge. These skills and knowledge translate into purposeful, real-life learning experiences. However, in the academic community, learning is not restricted to students. Faculty, too, must be supported and provided opportunities for personal and professional growth and development. Although professional development is not a novel concept in the education profession, schools often take up the gauntlet, but fall short …

Lessons From The Flash Crash For The Regulation Of High-Frequency Traders, Edgar Ortega Barrales

Fordham Journal of Corporate & Financial Law

Are equity markets vulnerable to a sudden collapse if the traders who account for about half of the volume have no regulatory obligations to stabilize prices? After the “Flash Crash” of May 6, 2010, policymakers have resoundingly answered this question in the affirmative. During the worst of the crash, some of the so-called high-frequency trading firms that dominate equity markets stopped trading and prices collapsed, momentarily wiping out almost $1 trillion in market value. In response, the U.S. Securities and Exchange Commission is considering whether high-frequency trading firms should be required to act as the traders of last resort. This …

Developing A Culturally Responsive Classroom Collaborative Of Faculty, Students, And Institution, Paul J. Colbert

MBA Faculty Conference Papers & Journal Articles

Culture is integral to the learning process. It is the organization and way of life within the community of students and teachers and directs the way they communicate, interact, and approach teaching and learning. Although founded in particular values and principles, the academy, like most organizations, is impacted day-to-day by its culture. Yet, the traditional higher education institution has not been designed to operate within a racially or ethnically diverse student population. The social, political, economic, and cultural forces that support the institution influence the teaching and learning environments. To better address cultural diversity in the classroom, faculty must first …

Threat-Balancing In Vendor Transition, Cecil Eng Huang Chua, Wee-Kiat Lim, Siew Kien Sia, Christina Soh

CCX Research

While many outsourcing contracts are expiring, and vendor transition is becoming an increasing concern, little research helps organizations manage vendor transition. This paper explores vendor transition across two case sites. In one case, the outgoing vendor cooperated with the client which resulted in the client distancing itself from interactions between vendors. In the second case, the outgoing vendor was openly hostile, with the result that the client allied with the incoming vendor to manage vendor transition. These findings mirror expectations from balance of threat theory, a political science theory about interactions between nations. Balance of threat theory predicts that outgoing …