Utah State University
Universidad de La Salle, Bogotá
University of South Florida
Singapore Management University
East Tennessee State University
Old Dominion University
Is Anti-Herding Always A Smart Choice? Evidence From Mutual Funds,
2023
University of Auckland
Is Anti-Herding Always A Smart Choice? Evidence From Mutual Funds, John Byong-Tek Lee, Jun Ma, Dimitris Margaritis, Wanyi Yang
Sim Kee Boon Institute for Financial Economics
Recent empirical studies document a negative relation between herding behaviour and the skill of mutual fund managers. We explore this relationship further by focusing on fund managers' contrarian buy and sell behaviour against the market. Our study reveals an asymmetry in the performance of mutual funds with contrarian buy behaviour and contrarian sell behaviour. The contrarian-buy behaviour reflects skill by positively predicting the cross-section of next period's mutual fund returns, while the contrarian-sell behaviour reflects a lack of skill associated with a negative prediction. These findings are robust to various risk-adjusted performance measures. Contrarian-buy funds outperform momentum-buy funds by 3% …
Who Profits From Trading Options?,
2023
Singapore Management University
Who Profits From Trading Options?, Jianfeng Hu, Antonia Kirilova, Gilbert Seongkyu Park, Doojin. Ryu
Research Collection Lee Kong Chian School Of Business
We use account-level transaction data to examine trading styles and profitability in a leading derivatives market. Approximately 66% of active retail investors predominantly hold simple, one-sided positions in only one class of options, whereas institutional investors are more likely to use complex strategies. Hypothesizing that the complexity of trading styles reflects investors' skills, we examine the effect of options trading styles on investment performance. We find that retail investors using simple strategies lose to the rest of the market. For both retail and institutional investors, selling volatility is the most successful strategy. We conclude that these style effects are persistent …
Predictive Ai For The S&P 500 Index,
2023
Dartmouth College
Predictive Ai For The S&P 500 Index, Jacqueline Rose Perry
Computer Science Senior Theses
Artificial intelligence has powerful applications in virtually every field, and the financial world is no exception. Utilizing various elements of artificial intelligence, this research aims to predict the future value of the S&P 500 index using numerous models, and in doing so, identify relevant features. More specifically, models that include combinations of historical data, public sentiment, and technical indicators were employed to predict the stock price one day and three days forward. To account for public opinion, the sentiment of tweets and news headlines from the beginning of 2015 through the end of 2019 was calculated using FinBERT, a pre-trained …
Diverse Hedge Funds,
2023
Singapore Management University
Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Song Wee 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 …
Does Herding Behavior Exist In The Cryptocurrency Market?,
2023
Sacred Heart University
Does Herding Behavior Exist In The Cryptocurrency Market?, Anis Mnif
Doctoral Dissertations (DBA)
This paper examines herd behavior in the cryptocurrency market using data of the top 15 large cryptocurrencies and the CCi30 Index as a proxy for market return. The idea that investors mimic and follow the behavior of others in the cryptocurrency market rather than conducting their own research has received attention in the finance literature. The CSAD results in the static model detected herding but given the existence of structural breakdowns and nonlinearities in the data series, we opted to conduct a rolling window analysis. The results indicate strong herding behavior that fluctuates over time. Furthermore, results from the logistic …
Intrafirm Knowledge Sharing In The Investment Research Industry,
2023
Singapore Management University
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 …
Assessing Diversification Of S&P500 And Cdx Indexes,
2023
Sacred Heart University
Assessing Diversification Of S&P500 And Cdx Indexes, Jeffrey A. Palma
Doctoral Dissertations (DBA)
In this paper, I conduct a study of comovement between equity and corporate bonds using S&P500 and Investment Grade and High Yield CDX Indexes to evaluate the diversification benefits of holding these assets in portfolios. I assess comovement and diversification potential using DCC-GARCH and copulas. This approach allows for a review of equity and credit linkages through multiple lenses and evaluation of how these relationships have evolved over time. In general, I find only modest potential for diversification between equity and CDX markets and strong evidence of increased comovement over time.
Stock Splits And Corporate Peer Effects,
2023
CUNY Hunter College
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 …
Assessing The Impact Of Impact Investing: Practices, Challenges, And Opportunities Towards The Standardization Of Impact Assessment Mechanisms,
2023
University of Arkansas, Fayetteville
Assessing The Impact Of Impact Investing: Practices, Challenges, And Opportunities Towards The Standardization Of Impact Assessment Mechanisms, Taylor Poe
Finance Undergraduate Honors Theses
This research project focuses on gathering information on which impact measurement mechanisms are currently used in the impact investing industry, and how these mechanisms are standardized across various firms, geographic locations, and fund types. The overarching goal of the study is to provide an assessment of the impact investing industry and the use of standardized impact assessment practices. The specific goal of this research study is to collect and present information on the current state of impact measurement standardization. Research is separated into three large components: interviews with industry leaders, findings from social finance conferences, and research of scholarly sources. …
Outperforming The Stock Market Using Market Anomalies,
2023
University of Arkansas, Fayetteville
Outperforming The Stock Market Using Market Anomalies, Brett Bennett
Finance Undergraduate Honors Theses
The objective of this study is to explore the use of well-researched market anomalies to generate higher risk-adjusted returns than the overall stock market. Four specific market anomalies are examined: the small-firm effect; price reversals; the January effect; and the momentum effect. It focuses on historical evidence, anomaly characteristics, and potential risks. This study also explores the use of anomaly detection techniques, such as machine learning, in identifying market mispricings. It finds that a selective approach, combining market anomalies with traditional investment strategies, is crucial for effective implementation. This study provides insights for investors seeking to capitalize on market anomalies …
The Effect Of Social Skills On Analyst Performance,
2023
Singapore Management University
The Effect Of Social Skills On Analyst Performance, Cong Cong Li, An-Ping Lin, Hai Lu
Research Collection School Of Accountancy
Social skills are important but difficult to measure. So far, few empirical studies have examined the effect of social skills on the performance of professionals. Using the number of LinkedIn connections as a proxy for social skills, we investigate the effect of financial analysts' social skills on their performance. We use multiple ways to validate the measure of social skills and show that analysts with better social skills produce more accurate earnings forecasts and that their stock recommendations elicit stronger market reactions. Furthermore, these socially skilled analysts are more likely to be voted as All-Star Analysts. This study provides the …
An Investigation Into The Economic Useful Life Of Commercial Aircraft As Impacted By Maintenance And Economic Variables,
2023
Embry-Riddle Aeronautical University
An Investigation Into The Economic Useful Life Of Commercial Aircraft As Impacted By Maintenance And Economic Variables, Robert Gallagher
Doctoral Dissertations and Master's Theses
This research involved examining the economic useful life of commercial aircraft and the impact of maintenance and economic variables on the viability and longevity of the asset. The data sample consisted of the entire population of Boeing commercial aircraft produced between 1956 and 2021. The objective was to determine the effect of both maintenance and economic variables on the longevity and usefulness of commercial aircraft. As manufacturers work with issues such as service life, economic life, safety, and critical design features, those in the aviation community focus on the operational side of the equation––how long can one operate the asset, …
Fraud Pattern Detection For Nft Markets,
2023
Southern Methodist University
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 …
A Review On Derivative Hedging Using Reinforcement Learning,
2023
Singapore Management University
A Review On Derivative Hedging Using Reinforcement Learning, Peng Liu
Research Collection Lee Kong Chian School Of Business
Hedging is a common trading activity to manage the risk of engaging in transactions that involve derivatives such as options. Perfect and timely hedging, however, is an impossible task in the real market that characterizes discrete-time transactions with costs. Recent years have witnessed reinforcement learning (RL) in formulating optimal hedging strategies. Specifically, different RL algorithms have been applied to learn the optimal offsetting position based on market conditions, offering an automatic risk management solution that proposes optimal hedging strategies while catering to both market dynamics and restrictions. In this article, the author provides a comprehensive review of the use of …
Price Comovement And Market Segmentation Of Chinese A- And H-Shares: Evidence From A Panel Latent-Factor Model,
2023
Singapore Management University
Price Comovement And Market Segmentation Of Chinese A- And H-Shares: Evidence From A Panel Latent-Factor Model, Yingjie Dong, Wenxin Huang, Yiu Kuen Tse
Research Collection School Of Economics
This paper examines the price comovement of cross-listed Chinese A- and H-shares using a panel model with latent factors and a heterogeneous long-run structure. Our model is more flexible than the cointegration system and is estimated using the data-driven Cup–Lasso method. The long-run H-share price discounts are heterogeneous across different groups of stocks. We have identified both stationary and nonstationary latent factors in the price differentials, which are driven by different economic variables. By analyzing the factor loadings of the nonstationary latent factor, we identify some trading-friction and information-friction variables that have effects on the price convergence between the A- …
Peer Effects In Equity Research,
2023
University of Technology Sydney
Peer Effects In Equity Research, Kenny Phua, Mandy Tham, Chi Shen Wei
Research Collection Lee Kong Chian School Of Business
We study the importance of peer effects among sell-side analysts who work at the same brokerage house, but cover different firms. By mapping the information network within each brokerage, we identify analysts who occupy central positions in their network. Central analysts incorporate more information from their coworkers and produce better research. Using shocks to network structures around brokerage mergers, we identify the influence of peer effects and the importance of industry expertise on analysts’ performance. A portfolio strategy that exploits the forecast revisions of central analysts earns up to 24% per annum.
The Information In Industry-Neutral Self-Financed Trades,
2023
Chapman University
The Information In Industry-Neutral Self-Financed Trades, Yashar H. Barardehi, Zhi Da, Mitch Warachka
Business Faculty Articles and Research
We identify Industry-Neutral Self-Financed Informed Trading (INSFIT) as stock trades financed by offsetting, equivalent dollar-denominated stock trades in the same industry. Approximately 37% of short-term mutual fund trading profits can be attributed to these trade pairs. Consistent with informed trading, INSFIT precedes unusually high media coverage for the underlying stocks. The trades underlying INSFIT are also larger as the release of stock-level news becomes more imminent. Both relative valuation and the hedging of industry exposure motivate INSFIT’s industry neutrality. While INSFIT positively impacts fund performance, active fund managers who execute INSFIT more aggressively obtain smaller trading profits per execution.
Simultaneous Multilateral Search,
2023
Singapore Management University
Simultaneous Multilateral Search, Sergei Glebkin, Bart Zhou Yueshen, Ji Shen
Research Collection Lee Kong Chian School Of Business
This paper studies simultaneous multilateral search (SMS) in over-the-counter markets: When searching, a customer simultaneously contacts several dealers and trades with the one offering the best quote. Higher search intensity (how often one can search) improves welfare, but higher search capacity (how many dealers one can contact) might be harmful. When the market is in distress, customers might inefficiently favor bilateral bargaining (BB) over SMS. Such a preference for BB speaks to the sluggish adoption of SMS trading, like request-for-quote protocols, in over-the-counter markets. Furthermore, a market-wide shift to SMS may not be socially optimal.
Art Investment Funds And Nfts,
2023
Sotheby's Institute of Art
Art Investment Funds And Nfts, Francesca Osborne
MA Theses
Art price inflation, rising levels of wealth, and the artworld’s financialization have
changed the way investors view the art market. In an attempt to capture the
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 collectibles – a …
Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange,
2023
Old Dominion University
Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas
Finance Faculty Publications
This study examines the endogenous market choice and its impact on underwriter spread if Alternative Investment Market (AIM) IPOs that meet Main Market (MM) listing requirements had issued equity in the MM during the 1995–2021 period. We find that the spread is 1.33% higher in the AIM than the MM for IPO listings that meet the MM listing requirements. This finding suggests that AIM companies, meeting the MM listing requirements, could have saved more than £100 million by going public through the MM than the AIM market. We also find that this spread differential is attributed to the issuing firms' …
