Portfolio and Security Analysis Commons^™

Equity Fund Monthly Report, February 2021, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Hedge Fund Franchises, William Fung, David Hsieh, Narayan Naik, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

We investigate the growth strategies of hedge fund firms. We find that firms with successful first funds are able to launch follow-on funds that charge higher performance fees, set more onerous redemption terms, and attract greater inflows. Motivated by the aforementioned spillover effects, first funds outperform follow-on funds, after adjusting for risk. Consistent with the agency view, greater incentive alignment moderates the performance differential between first and follow-on funds. Moreover, multiple-product firms underperform single-product firms but harvest greater fee revenues, thereby hurting investors while benefitting firm partners. Investors respond to this growth strategy by redeeming from first funds of firms …

Portfolio Diversification Using Shape-Based Clustering, Tristan Lim, Chin Sin Ong

Research Collection School Of Computing and Information Systems

Portfolio diversification involves lowering the correlation between portfolio assets to achieve improved risk–return exposure. It is reasonable to infer from the classic Anscombe quartet that relying on descriptive statistics, and specifically, correlation, to achieve portfolio diversification may not derive the most optimal multiperiod portfolio risk-adjusted return because stocks in a portfolio can exhibit different price trends over time, even with the same computed pairwise correlation. This research applied a shape-based time-series clustering technique of agglomerative hierarchical clustering using dynamic time-series warping as a distance measure to aggregate stocks into like-trending clusters across time as a portfolio diversification tool. Results support …

Ai Stock-Screening Methodology For Portfolio Construction, Omar Ahmed Khater

Theses and Dissertations

Selecting profitable stocks is crucial in constructing an all-equity portfolio. Investors need to rely on screening mechanisms to aid investment decision making. New stock selection methods are highly desired, and existing methods are constantly improved. In this research, we investigate the potential of relying on artificial intelligence to guide the stock selection process. The developed model employed genetic algorithms to optimize the selection of screening rules from among a set of widely accepted fundamental indicators. The model robustness and performance are tested using stock market real data over a 14-year period from 2006 till 2019. Based on portfolio quality factors …

Equity Fund Monthly Report, January 2021, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Fixed Income Fund Report, January 2021, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

The Archway Investment Fund, Annual Report 2021, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

The Virus, Risk, And Commercial Mortgage-Backed Securities: Examining Dodd-Frank’S Impact In The Midst Of A Pandemic, Owen Haney

Fordham Journal of Corporate & Financial Law

When lawmakers sought to reshape the financial industry through the passage of the Dodd-Frank Act in 2010, they specifically attacked the “moral hazard” in the asset-backed securities market that they believed was partly responsible for the collapse of global financial markets. Congress identified several practices in asset-backed securitizations that posed a risk to the world economy. In particular, regulators believed that the “originate-to-distribute” model, whereby loan originators—those parties armed with the best knowledge regarding the quality of the loans in the transaction and who consequently set underwriting standards—could sell off the loans without bearing any risk should those borrowers (homeowners …

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 …

Are Investment Banks Helpful Or Hurtful? An Analysis Of Intraday Volatility In The Direct Listing Process As Compared To Investment Bank-Involvement In Traditional Ipos, Alexis Paff

Scripps Senior Theses

In this paper, I carry out an empirical analysis of the pricing volatility of direct listings as compared to traditional IPOs. Direct listings solve an efficiency problem in the US going-public market, in which well-funded, late-stage firms lack incentives to pursue a public listing, which would create liquidity for preexisting shareholders and allow for a more diverse body of public shareholders. Direct listings have been allowed on the New York Stock Exchange since early 2018, and four firms, Spotify, Slack, Asana, and Palantir, have gone public through this new listing mechanism. While underwriters are heavily involved in the IPO process, …

Diversifying Investment Portfolios With Collectible Sneakers: Expected Returns And Benefits Of Diversification, Samuel Soo

CMC Senior Theses

This thesis seeks to identify if collectible sneakers can provide diversification benefits to an investor’s portfolio. Using data from a global collectible sneaker marketplace, StockX, I constructed an index to compare it with other traditional assets, including the S&P 500 index and 5-year US Treasury Bills. By calculating key metrics including expected returns, volatility, and correlation, I analyzed the risk-return characteristics of the collectible sneaker asset class compared to other traditional asset classes. From the data analysis I performed, I found that collectible sneakers did not outperform returns significantly compared to traditional asset classes, but had low correlations, which provides …

Twitter’S Relationship With Overreaction In Individual Security Returns, David Halle

CMC Senior Theses

Using stock market return data from 2007 to 2019 from The Center for Research in Security Prices, I inquire into the impact that Twitter has on the overreactions of individual stock returns by breaking down returns into pre and post-Twitter periods. I examine negative serial correlation, demonstrating return reversals, between a lag crossed Twitter dummy variable and initial returns. With stock reversals serving as an indicator of initial overreaction and assuming stationarity of overreactions over time, I find that the presence of Twitter results in significantly more overreactions for highly followed companies when using monthly returns. However, when assessing Twitter’s …

Option Implied Volatility's Predictability On Monthly Stock Returns, Hung T. Dao

Senior Independent Study Theses

Since the trading of options is based on underlying stocks, it is reasonable to assume that information from the options market can be used to explain the returns in the stock market. Our independent study investigates the relationship between options implied volatility and stock returns. Previous studies have found significant results in using implied volatility in predicting stock returns. This paper provides a discussion of such studies, the theoretical framework for the research topic, and the Black-Scholes model, which is famous for its application in implied volatility calculation. Monthly returns of 20 large US firms are regressed against implied volatility …

What Is The Riskfree Rate? A Search For The Basic Building Block, Aswath Damodaran

Journal of New Finance

In corporate finance and valuation, we start off with the presumption that the riskfree rate is given and easy to obtain and focus the bulk of our attention on estimating the risk parameters of individuals firms and risk premiums. But is the riskfree rate that simple to obtain? Both academics and practitioners have long used government security rates as riskfree rates, though there have been differences on whether to use short term or long- term rates. In this paper, we not only provide a framework for deciding whether to use short or long term rates in analysis but also a …

Equity Fund Monthly Report, December 2020, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Fixed Income Fund Report, December 2020, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Insider Trading Enforcement And The Private Information Environment: Evidence From The Newman Ruling, Andrew T. Pierce

Graduate Theses and Dissertations

I exploit a shock to U.S. insider trading law to investigate whether a reduction in the enforceability of tipper-tippee insider trading restrictions leads to changes in information parity among investors and the efficiency of price discovery. The December 2014 Federal Second Circuit Court of Appeals ruling in US v. Newman constrained enforcement by restricting the types of exchanges between managers and investors that trigger tipper-tippee insider trading liability. Following Newman, I find that Second Circuit hedge funds experienced a significant increase in their stock picking ability of Second Circuit stocks in terms of preempting future earnings announcement returns and future …

Diversification Using International Exchange-Traded Funds, Alese K. Jones

Honors Theses

Exchange-Traded Funds (ETFs) are diversified portfolios of assets which trade like stocks and track a benchmark index. This manuscript looks at the diversification and return benefits a U.S. investor would receive by investing in Emerging market (EEM) and Total World (DGT) ETFs over the period of June 2003 to July 2019. We use S&P 500 ETF IVV as a proxy for U.S. market. EEM had the highest absolute return but also the highest risk. However, the U.S. ETF IVV had the greatest risk-adjusted return and the lowest tracking error. International ETFs were also highly correlated with the S&P 500. Overall, …

Behavioral Finance For The Individual Investor, Drake Gens

Senior Honors Theses

The Efficient Market Hypothesis (EMH) has been generally accepted in academia despite its well-researched flaws; by understanding how and when markets deviate from efficiency, investors have an opportunity to not only better understand their investing habits, but also possibly generate higher investment returns. Various market anomalies, such as the Value Effect (De Bondt & Thaler, 1985), the Monday Effect (French, 1980), and the January Effect (De Bondt and Thaler, 1958 & 1987), attest to the fact that markets experience periods of deviation from efficiency. Fiévet and Sornette (2016) finding that markets experience inefficiency during periods of significant volatility is confirmed …

Is The Synthetic Stock Price Really Lower Than Actual Price?, Jianfeng Hu

Research Collection Lee Kong Chian School Of Business

Conventional wisdom suggests synthetic stock prices are lower than actual prices due to short‐sale constraints and voting premiums. This study finds that such underpricing of the synthetic midquote disappears if arbitrageurs face security borrowing costs. The synthetic spread predominantly contains the actual spread. Synthetic stock overpricing is as common as underpricing but the former is more persistent and more profitable. The difference between synthetic and actual quotes is significantly affected by options market makers' hedging costs and investors' demand for leverage.

Fixed Income Fund Report, November 2020, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Investor Behavior In The Midst Of A Global Pandemic, Abigail N. Bates

Honors Projects

Investors partaking in portfolio and asset management through the stock market and other avenues do so with certain reasoning and methods in hand. Each investor may have different interests and risk tolerances that guide their choices for investment. Behavioral finance allows for an in-depth look at an investor’s actions and the influencing psychology behind it. Before this approach was popularized, early studies of finance assumed that investors were always rational in their decision making and put resources only into opportunities that would increase their utility or happiness. The behavioral finance approach takes a more comprehensive look at these behaviors and …

What Do Short Sellers Know?, Ekkehart Boehmer, Charles M. Jones, Juan (Julie) Wu, Xiaoyan Zhang

Research Collection Lee Kong Chian School Of Business

Using NYSE short-sale order data, we investigate whether short sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24% of the overall underperformance of heavily shorted stocks. Importantly, short sellers use both public news and private information to anticipate news regarding earnings and analysts. Shorting's predictive ability remains significant after controlling for information in analyst actions and displays no reversal patterns, indicating that short sellers know more than analysts, and the nature of their information …

The Ursinus College Investment Management Company Newsletter, Fall 2020, Scott Deacle, George Psaradakis

Investment Management Company Newsletter

Inside this issue:

Letter from Jacob Kang '21

Letter from Maureen Cumpstone '79

Letter from Johnny Myers '19

At a Glance

Investment Strategies

Endowment at Work

New at UCIMCO

Women's Fund

Investment Performance

Endowment Outlook

Stock Selection Picks

Women's Fund Picks

Our Team

Supporters

How to Contribute

Fixed Income Fund Report, October 2020, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Discovering The Link Between Investor Attention And Trade Volume In The Philippine Stock Exchange, Patrick Allan G. Morando, Isabel Louise D. Banico, Martin Stevens C. Ng, Riggs Mattieu M. Villardo

Angelo King Institute for Economic and Business Studies (AKI)

Investors regard trade volume as a crucial technical indicator that can confirm trends, predict trend reversals, and determine liquidity (Westerhoff, 2006; Mahender et al., 2014). Trade volume is reported throughout the current trading day as often as once an hour; however, the reported hourly and end-of-the-day trade volumes are merely estimates. Actual and final trade volumes are reported the following day. Given the relative inconsistency of reported trade volumes and uncertainty of future trade volumes, investors miss the opportunity to reinforce their trading decisions through the trade volume indicator.

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 …

Financial Knowledge And Portfolio Complexity In Singapore, Benedict S. K. Koh, Olivia S. Mitchell, Susann Rohwedder

Research Collection Lee Kong Chian School Of Business

Financial literacy in Singapore has not been analyzed in much detail, despite the fact that this is one of the world’s most rapidly aging nations. Using the Singapore Life Panel®, we explore older Singaporeans’ levels of financial knowledge and compare them to those observed in the United States. We assess portfolio complexity for these older households, to examine how financial literacy is related to outcomes of interest. We show that older Singaporeans’ levels of financial literacy are comparable overall to those in the United States, even though older Singaporeans score slightly lower on some dimensions (knowledge of interest and inflation), …

Socially Useless? The Crucial Contribution Of Finance To Economic Life, Philip Booth, Diego Zuluaga

Journal of New Finance

The value of financial markets is under-appreciated. Financial markets perform fundamental functions which are vital in reducing transactions costs in the economy for businesses and households. Without well-functioning financial markets, business would find if much more costly to raise capital and ordinary households would find retirement, protection against everyday risks and day-to-day transactions impossible. Those who criticise financial markets ignore the breadth of their functions and focus on a narrow range of activities. However, even activities such as trading, speculation and so on have social value. The evidence that they cause social problems appears more circumstantial when put under closer …

Saving Active Managers From The Market, Scott Vincent

Journal of New Finance

Assets are leaving actively managed mutual funds at an unprecedented rate as investors have come to perceive that active management does not deliver value. Investor disappointment is generally attributed to the high fees and poor relative performance of the class, yet there is a deeper systemic issue at work. In the first part of this paper I argue that portfolio managers are unable to deliver value to investors because they generally do not consider the alpha-diluting opportunity costs of diversification (defined later) when constructing and managing their portfolios. In the second part of the paper I propose the introduction of …