Portfolio and Security Analysis Commons^™

Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil

Theses and Dissertations

Trading stocks of publicly traded companies in stock markets is a challenging topic since investors are researching what tools can be used to maximize their profits while minimizing risks, which encouraged all researchers to research and test different methods to reach such a goal. As a result, the use of both fundamental analysis and technical analysis started to evolve to support traders in buying and selling stocks. Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast …

A Financial Valuation Of Comcast (Cmcsa), Lucas Marcinkowski

Honors Thesis

The current valuation of the global entertainment and media industry revenue is $2.32 trillion. When investing in the entertainment and media industry, individuals think of the fame and glamorous side of the entertainment industry. However, the industry is fiercely competitive and continuously evolving. Through examining the historical financial statement of the publicly traded media and technology conglomerate Comcast, as well as its competitors, I forecasted the future financial valuation of Comcast utilizing the Discounted Free Cash Flow and Public Comparable Firm Multiples models. This analysis examines the effects of the pandemic and other economic conditions on the entertainment and media …

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 …

Financial Consulting Internship In Valencia: Alternative Investments And Ai, Mason Sidney Rike

Finance Undergraduate Honors Theses

During the summer before my senior year, I had the opportunity to work as a research analyst in the finance department of TuaTeam, a financial and strategic consulting firm in Valencia, Spain. TuaTeam is a relatively new firm that serves its clients in a wide range of areas, from strategic restructuring and business model development to finding funding for future projects and identifying/evaluating potential investment opportunities. TuaTeam also works closely with communities around Spain to foster innovation and development among youth and professionals seeking to gain experience in new trends in technology and cultural enrichment. The company currently holds classes …

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."

Finance And Artificial Intelligence, Luke Schawang

Theses/Capstones/Creative Projects

The integration of artificial intelligence (AI) into finance represents a significant evolution in the industry, one that has been ongoing for years but is now accelerating rapidly. This paper explores the various forms and functions of AI, from reactive machines to the potential for superintelligence, and examines its impact on banking, business finance, and investing.

In banking, AI has bolstered cybersecurity and fraud detection, leveraging machine learning algorithms to continuously improve accuracy and efficiency. Similarly, in business finance, AI tools like chatbots and algorithms streamline processes, enhance productivity, and reduce costs. In investing, AI-driven solutions such as robo advisors offer …

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.

Financial Literacy And Ipo Underpricing, Xiaoran Jia, Kiridaran G. Kanagaretnam, Chee Yeow Lim, Gerald J. Lobo

Research Collection School Of Accountancy

Using an international sample of IPO firms and two country-level measures of financial literacy, we find strong evidence that financial literacy is negatively associated with IPO underpricing. In cross-sectional analyses, we find that the effect of financial literacy in reducing IPO underpricing is more pronounced when the information environment is less transparent. Employing path analysis, we document that information friction, firm transparency, and stock market participation are mechanisms that mediate this relationship. Our study contributes to and extends the literature by providing strong evidence that citizens' financial literacy has an important and consistent influence on IPO underpricing.

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 …

Equity Fund Monthly Report, April 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Fixed Income Fund Report, April 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Siphoned Apart: A Portfolio Perspective On Order Flow Segmentation, Markus Baldauf, Joshua Mollner, Bart Zhou Yueshen

Research Collection Lee Kong Chian School Of Business

We study liquidity supply in fragmented markets. Market makers intermediate heterogeneous order flows, trading off spread revenue against inventory costs. Applying our model to payment for order flow (PFOF), we demonstrate that portfolio-based considerations of inventory management incentivize market makers to segment retail orders by siphoning them off-exchange. Banning order flow segmentation reduces total welfare, can make trading more costly for all investors, and can resolve a prisoner's dilemma among market makers. These results differentiate our inventory-based model from the existing information-based theories of PFOF.

Intrafirm Knowledge Sharing In The Investment Research Industry, Artur Hugon, An-Ping Lin, Stanimir Markov

Research Collection School Of Accountancy

We study interdepartment knowledge sharing in an investment research setting where the benefits are potentially significant for the brokerage and the capital market, but so are the frictions impeding it. Using hand-collected data on equity analyst access to in-house debt research expertise, we find significant benefits to equity analysts in the form of improved ability to forecast cash flows and to anticipate credit rating downgrades. Moreover, we find evidence that access to management and research expertise underlie in-house debt analysts' capacity to generate information beneficial to equity analysts. Finally, these benefits exist only in the presence of a collaborative brokerage …

The Effects Of Social Media On Investment Decisions Within An Online Community, Hector Vasquez, David Cross

Publications

This case study examined the effects of social media on investment decisions within an online community. The problem was the use of misinformation by inexperienced investors to make investment decisions, with investors making investment decisions based on misinformation. Data was gathered through an online questionnaire administered through one-on-one interviews with members from an online financial community. Twenty participants were gathered; responses were analyzed for recurring themes. Results validated a relationship between social media and investment decisions exists. A strongly recurring theme was that individual investors use social media as a resource to seek out potential investment ideas and make investment …

The Impact Of Celebrity News On Entertainment Industry Stock Prices, Alexandra Widuri Ariani, Zaäfri Ananto Husodo

The Indonesian Capital Market Review

South Korea's entertainment industry has garnered global popularity. However, the competition between entertainment companies is fierce, necessitating strategies to ensure their survival, such as imposing restrictions on their artists to maintain their public image and trust. This study examined the impacts of celebrity news and activities on the stock returns of six major entertainment companies listed on the Korea Exchange (KRX) from 2018-2021. Employing the Fama-French 3 Factors Model regression, the study investigated the presence of abnormal returns. The findings indicate that comebacks and debuts elicit positive reactions and generate significant abnormal returns. Award acceptances and military service also elicit …

Fixed Income Monthly Report, March 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Investing In Climate: A Role For 'Sovereign Climate Funds', Marianna Kozintseva, Thierry Wizman

Sim Kee Boon Institute for Financial Economics

Efforts to address climate change have generally been focused on deploying mitigation technologies. However, it is adaptation technologies (and climate risk transfer) that will have to gain an increasing share of an investment pool dedicated to climate if human systems are to stay resilient to climate forces. Just like mitigation projects, adaptation projects have a strong public goods aspect, wherein public returns exceed private returns, and thus call for the state’s involvement. We argue that sovereign climate funds (SCFs) - new types of sovereign wealth funds with a climate investment mandate - can be critical purpose-built conduits especially for undertaking …

Equity Fund Monthly Report, March 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Analysts' Earnings Per Share Forecasts: The Effects Of Forecast Uncertainty And Forecast Precision On Investor Judgements, Clarence Goh

Research Collection School Of Accountancy

This study uses controlled experiments to investigate the joint effects of forecast uncertainty and forecast precision on investor judgements. It finds that forecast precision moderates the effects of forecast uncertainty on investors' forecast reliability judgements such that the effects of forecast uncertainty on investors' judgements of forecast reliability are more negative when an analyst's point earnings per share (EPS) forecast is rounded than when it is precise. In addition, the relationship between forecast precision and investors' judgements of forecast reliability is mediated by investors' perceptions of forecast attributes. The evidence also suggests that while forecast uncertainty exerts a negative effect …

Fixed Income Fund Report, February 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Equity Fund Monthly Report, February 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang

Research Collection Lee Kong Chian School Of Business

We confirm prior evidence that bonds on average are offered at prices below their immediate post-offer secondary market prices. However, in cases where banks lead–manage their own bond offerings the underpricing is significantly less as compared with other non-self-marketed offerings. These findings are robust across various matched samples and selection models. Our results suggest that the bond offering process is characterized by substantive agency conflicts between shareholders of corporations (issuers) and underwriters.

Multi-Perspective Analysis For Derivative Financial Product Prediction With Stacked Recurrent Neural Networks, Natural Language Processing And Large Language Model, Ethan Lo

Dissertations, Theses, and Capstone Projects

This study developed a multi-perspective, AI-powered model for predicting E-Mini S&P 500 Index Futures prices, tackling the challenging market dynamics of these derivative financial instruments. Leveraging FinBERT for analysis of Wall Street Journal data alongside technical indicators, trader positioning, and economic factors, my stacked recurrent neural network built with LSTMs and GRUs achieves significantly improved accuracy compared to single sub-models. Furthermore, ChatGPT generation of human-readable analysis reports demonstrates the feasibility of using large language models in financial analysis. This research pioneers the use of stacked RNNs and LLMs for multi-perspective financial analysis, offering a novel blueprint for automated prediction and …

Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

Hedge fund teams with heterogeneous educational backgrounds, academic specializations, work experiences, genders, and races, outperform homogeneous teams after adjusting for risk and fund characteristics. An event study of manager team transitions, instrumental variable regressions, and an analysis of managers who simultaneously operate solo- and team-managed funds address endogeneity concerns. Diverse teams deliver superior returns by arbitraging more stock anomalies, avoiding behavioral biases, and minimizing downside risks. Moreover, diversity allows hedge funds to circumvent capacity constraints and generate persistent performance. Our results suggest that diversity adds value in asset management. Authors have furnished an Internet Appendix, which is available on the …

What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang

Research Collection Lee Kong Chian School Of Business

This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in- and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.

Equity Fund Monthly Report, January 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Fixed Income Fund Report, January 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

"Reconstitute": Business Plan Of A Start-Up Art Invsetment Bussiness: Artvest, Jianing Wang

MA Projects

Art is still used as a financial hedge in times of economic uncertainty. According to Artnet’s Financial Art Index, “The art market outperformed the S&P 500 from January 2022 to July 2023, with art returns rising by 4.2% in nominal terms, while the S&P 500 lost 6.6% during the same period.” 1 Although we are currently in a period of uncertainty about the future global economic outlook, the impact of fluctuations in art prices is relatively low. ArtVest will establish against post-pandemic New York in 2024, seamlessly bridging the realms of art and investment. ArtVest recognizes the potential in the …

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 …

Market Reaction Test On Banks & Brokers Based On Bitcoin Price History. A Look At National Commercial Banks And Security Broker, Exchanges, And Service Stocks Following The Most Volatile Swings In Bitcoin’S Price., Payton Earl

CMC Senior Theses

This paper examines if there is an inverse correlation between Bitcoin’s most volatile price swings and national commercial banks and security brokers, exchanges and service companies performance. Company performance in the dataset is measured by Cumulative Abnormal Returns during 2021 within a two-day period where Bitcoin has had the most significant uptick and downtick events. Using a market-adjusted model for my regression, it is concluded that Bitcoin’s largest uptick event did indeed have an inversely negative effect on traditional banks and trading securities companies, as the Cumulative Abnormal Returns were negative for my 107 observations and the event was statistically …