Business Commons^™

Assessing Energy Mutual Funds: Performance, Risks, And Managerial Skills, Srinvias Nippani, Davinder Malhotra

Faculty Publications

This study investigates the risk-adjusted performance of energy equity mutual funds across a 23-year period, employing the Cumulative Wealth Index (CWI) to gauge their long-term performance relative to benchmark indices. Despite inherent volatility due to the energy sector’s cyclical nature, these funds consistently outperformed benchmarks based on monthly returns, showcasing resilience amid market fluctuations. However, challenges emerged during the COVID-19 pandemic, with notable improvements post-vaccination. Utilizing a multi-factor model, the research highlights the interconnectivity of energy equity mutual funds with broader market movements and systemic factors. Despite their primary focus on the energy sector, these funds exhibit sensitivity to larger …

Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

Do illegal insiders internalize legal risk? We address this question with hand-collected data from 530 SEC (the U.S. Securities and Exchange Commission) investigations. Using two plausibly exogenous shocks to expected penalties, we show that insiders trade less aggressively and earlier and concentrate on tips of greater value when facing a higher risk. The results match the predictions of a model where an insider internalizes the impact of trades on prices and the likelihood of prosecution and anticipates penalties in proportion to trade profits. Our findings lend support to the effectiveness of U.S. regulations' deterrence and the long-standing hypothesis that insider …

Earnhft: Efficient Hierarchical Reinforcement Learning For High Frequency Trading, Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

High-frequency trading (HFT) is using computer algorithms to make trading decisions in short time scales (e.g., second-level), which is widely used in the Cryptocurrency (Crypto) market, (e.g., Bitcoin). Reinforcement learning (RL) in financial research has shown stellar performance on many quantitative trading tasks. However, most methods focus on low-frequency trading, e.g., day-level, which cannot be directly applied to HFT because of two challenges. First, RL for HFT involves dealing with extremely long trajectories (e.g., 2.4 million steps per month), which is hard to optimize and evaluate. Second, the dramatic price fluctuations and market trend changes of Crypto make existing algorithms …

Explaining Financial Inclusion: A Critical Realist Theory On The Role Of Financial Literacy, Bryan Bernabe, Jyro B. Triviño

Leadership and Strategy Faculty Publications

The impact of financial inclusion on social groups' economic divide is explored in this study, which introduces a critical realist theory underscoring the crucial role of financial literacy elements—behavior, attitude, knowledge, and skills—in promoting financial inclusivity. Initially framing a positivist explanatory theory inspired by Jaccard & Jaccoby's work and existing literature, the study then refines this into a critical realist causal theory using Sayer's established principles. This shift toward a critical realist approach allows for a more comprehensive and sophisticated theoretical evolution. By delving into fundamental causal mechanisms and considering the impact of social structures and context, the critical realist …

Examining Sustainable Overseas Investment Information-Sharing Model For Automobile Enterprises: A Multi-Modal Weight Network Approach, Yuan Cheng, Xiaofang Chen, Changbo Lin, Sheqing Ma, Jie Feng

Research Collection School Of Accountancy

In an era of globalization, automotive companies are increasingly looking to make overseas investments to expand their production capacity and explore foreign markets. However, the outcomes of such investments are often influenced by a myriad of factors, including policy changes, social dynamics, and market conditions. To address the need for a comprehensive overseas investment information-sharing model, this research proposes an innovative approach based on a multi-modal weight network. This model aims to provide users with a global perspective on overseas investment opportunities, encompassing policy insights, and market dynamics. It integrates data from various sources, offering multi-dimensional information on investment regions, …

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.

Market-Gan: Adding Control To Financial Market Data Generation With Semantic Context, Haochong Xia, Shuo Sun, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making. Despite the development of financial market simulation methodologies, existing frameworks often struggle with adapting to specialized simulation context. We pinpoint the challenges as i) current financial datasets do not contain context labels; ii) current techniques are not designed to generate financial data with context as control, which demands greater precision compared to other modalities; iii) the inherent difficulties in generating context-aligned, high-fidelity data given the non-stationary, noisy nature of financial data. To address these challenges, our contributions are: i) we proposed the Contextual …

Robust Permissioned Blockchain Consensus For Unstable Communication In Fanet, Zihao Wang, Hang Wang, Zhuowen Li, Xinghua Li, Yinbin Miao, Yanbing Ren, Yunwei Wang, Zhe Ren, Deng, Robert H.

Research Collection School Of Computing and Information Systems

The utilization of blockchain technology as a distributed information sharing system has gained widespread adoption across various domains. However, its application to Flying Ad-Hoc Network (FANET), characterized by severe packet loss, poses significant challenges. The high packet loss rates in FANETs can result in decreased consensus success rates and negatively impact information sharing consistency and efficiency. In this paper, we proposed RoUBC, a novel consensus scheme for Flying Ad-Hoc Networks (FANET), which is based on the Raft protocol and is designed to address the challenges posed by the severe packet loss network in FANET. The proposed scheme consists of two …

Ua80/1 Treasurer's Report, W Club

University Organizations

W Club treasurer's report dated January 31, 2024.

An Examination Of The Determinants Of Ease Of Doing Business: Perspectives From World Economies, Omar Eldarawy

Theses and Dissertations

This thesis’ purpose is to explore the correlation between Ease of Doing Business sub-scores and the overall Ease of Doing Business score. The study includes a detailed quantitative study into the previously mentioned relationship. The Ease of Doing Business sub-scores comprise of scores representing starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts, and resolving insolvency. This is conducted via a series of diagnostic tests to identify an appropriate regression model. These tests include the Hausman Test, RESET Test, and Breusch-Pagan Test. Based on the tests, …

Microfinancing And Entrepreneurship In Cocoa Refinement In Côte D’Ivoire, Erin Soro

The Journal of Purdue Undergraduate Research

No abstract provided.

An Examination Of The Impacts Of Macroeconomic Indicators On Conventional And Islamic Equity Fund Returns: Perspectives From The Mena Region, Amr Elshabouny

Theses and Dissertations

This study examines the performance of conventional and Islamic equity mutual funds in the MENA region, and the influence of major macroeconomic determinants on the two types, by analyzing 503 conventional and 128 Shariah-compliant funds. It incorporates three major macroeconomic variables using Generalized Linear Models (GLM). The findings indicate no significant superiority of Islamic funds over conventional ones. The study also notes that while market performance and foreign exchange rates positively affect both fund types, GDP growth and inflation have a negative impact. Islamic funds are less influenced by excess market returns, GDP growth, and inflation compared to conventional funds, …

Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper aims to provide insights on the design of optimal subsidy policies to enhance energy security amidst energy disruptions triggered by geopolitical conflicts. We introduce a novel Markov switching dynamic stochastic general equilibrium (MS-DSGE) model to address the limitations of existing integrated assessment models in environmental evaluation. These models often fail to adequately consider the environmental and economic impacts of geopolitical conflicts and do not prioritize energy security sufficiently in policymaking. Our application of the MS-DSGE model to the Russia–Ukraine conflict reveals significant decreases in output, social welfare, and energy consumption during disruptions. The mere anticipation of an energy …

Don't Make Me Look Bad: A Study On The Relationship Between Ceo Narcissism And Opinion Shopping, Ali Jon Kooti

Theses, Dissertations and Capstones

CEO narcissism has become an urgent growing trend in business and accounting literature lately due to its strategic impact on CEO behavior and decision-making. Similarly, the opportunistic behavior of audit opinion shopping is a well-known concern among U.S. and international regulators and has been the subject of academic research for decades. This study investigates the association between the two. Specifically, this study examines whether narcissistic CEOs, motivated by their need for positive self-image, recognition, and praise, as well as their fear of adverse effects on their status and compensation, engage in opinion shopping in order to avoid receiving an unfavorable …

Local Institutional Investors And Corporate Monitoring: Evidence From Cross-Listed Korean Stocks In The Us Market, Changhwan Choi, Chune Young Chung, Jun Myung Song

Sim Kee Boon Institute for Financial Economics

Using Korean firms that are cross-listed in the US market, this paper investigates whether there are standalone effects of geographic and market proximity of institutional investors on monitoring performance. We find that Korean institutional ownership is negatively associated with earnings management while the US institutional ownership has no impact on earnings management. This suggests that there is the geographic proximity advantage over the market proximity advantage in the emerging markets. Furthermore, we also show that the impact of geographic proximity is stronger for firms with high informational opacity

Institutional Herding And Investor Sentiment, Xu Guo, Chen Gu, Chengping Zhang, Shenru Li

Faculty Publications - College of Business

We investigate the role of investor sentiment in institutional herding behavior and its impact on stock prices. We find that institutional investors exhibit more herding behavior during periods of high sentiment, which has a significant impact on stock prices. Our results show that herding has a stabilizing effect on the stock market when investor sentiment is low, while it causes price distortions when sentiment is high. We also show that the impact of sentiment on price is particularly pronounced for small, non-profitable, low tangibility, high-growth firms.

Fixed Income Fund Report, January 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Dad’S New Car, Ahmed Ali Siddiqui

IBA Press

No abstract provided.

The Saim's Bookstore & Harmony Bank, Ahmed Ali Siddiqui

IBA Press

No abstract provided.

A Journey To Our Dream House, Ahmed Ali Siddiqui

IBA Press

No abstract provided.

Yusuf's First Bank Account, Ahmed Ali Siddiqui

IBA Press

No abstract provided.

Yusuf’S Saving Goal, Ahmed Ali Siddiqui

IBA Press

No abstract provided.

Are Healthcare Stocks A Safe Haven During Covid-19? : An Analysis Of Stock Return And Sector Segmentation Across Developed And Emerging Markets, Attani Tuwatchai

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study examines whether the healthcare sector functioned as a safe haven during the COVID-19 pandemic by analyzing its time-varying correlation with major market indices across developed and emerging economies. Utilizing a multi-method approach—centered on the DCC-GARCH model and supported by OLS regression—the research investigates how health crises and public policy responses influenced sector-level market dynamics. The analysis focuses on three main areas: the evolution of correlation structures before and during the pandemic, the influence of pandemic-related factors on correlation strength, and differences between developed and emerging markets. Although a Probit model was initially applied to estimate the likelihood of …

Money Doesn’T Grow On Trees: How Financial Literacy Is Learned And Developed Within American Childhood, Nate Lewis

Soaring: A Journal of Undergraduate Research

Financial literacy refers to the ability to process and utilize economic information to make informed decisions for their wellbeing. Given concerning indicators of financial outcomes within the United States, it is crucial to understand how and when strong financial behavior is developed. Efforts to enhance financial education have explored incorporating financial concepts into children’s literature and games. Yet, research indicates that financial literacy is far more rooted in the habits learned from one’s family, despite the emphasis often placed on schooling and socioeconomic status. It is therefore evident that efforts to promote financial literacy must always involve empowering family members …

Facilitating Factors For Female Leadership In Finance, Haleigh Woloszak

Honors Program Theses

High levels of gender inequity remain in finance leadership positions. This research is interested in the factors that facilitate female leadership in finance roles as opposed to the challenges women face in this industry. Through semi-structured interviews and thematic analysis, this paper explores the education, career development, organizational practices, professional support networks, and personal factors of successful women in finance. Commonalities among interviewee’s responses suggest that capabilities, one’s perspective on their career, personal support and domestic responsibility, and workplace relationships play a role in the success of the women in our sample. Additionally, participants discuss in depth specific organizational and …

Risky Business: Executive Compensation Attributes And Enterprise Risk Management, Stephanie Austin-Campbell

Doctor of Business Administration Dissertations

Banks are among the most powerful corporations across the globe. The banking sector is the lifeblood of the economy, and excessive bank failure can have devasting consequences for economies worldwide. The economic crisis of 2008 began in the U.S. and encapsulated other countries. Using regression analysis models, this study examined the relationship between specific executive compensation elements and the organizational strategies used to manage enterprise risk through the lens of Behavioral Agency Theory (BAM). BAM is incorporated into the study to explain how different forms of executive compensation influence executives’ tendencies to appropriately mitigate gains and losses. Historically, incurred agency …

Corporate Decision-Making: Three Essays In Applied Finance, Mohamed Ahmed Abd El Rahman Ahmed Khashbah

CGU Theses & Dissertations

Corporate Decision-Making: Three Essays in Applied Finance.By Mohamed Ahmed Abd El Rahman Ahmed Khashbah Claremont Graduate University: 2024 This dissertation consists of three distinct chapters, each focusing on a different topic. Chapter 1 of this dissertation investigates the relative effectiveness of earnings and cash flows as predictors in corporate decision-making processes within the U.S. financial market. Drawing on two decades of comprehensive financial data from Compustat, encompassing the years 2000 to 2019 and involving 18,595 firm-year observations across 980 diverse companies, this study employs a robust methodological framework. Advanced statistical techniques, including regression and correlation analyses, alongside firm-specific time-series and …

Confronting Ai-Induced Power Disparity And Emotional Disruption: Expansive Duties Of Broker-Dealers And Investment Advisers, Shuping Li, Wei Shen

Northwestern Journal of International Law & Business

The increasing use of AI models in investment services has raised concerns about ineffective responses, power disparity, and investor harm caused by emotional disruption. Generative AI-driven investment service providers often fail to address consumer issues quickly, guiding customers through superfluous and meaningless verbiage or professional terminology in infinite loops without providing an option to talk with a human customer service staff. Customers who are “stuck” in ineffective or inaccurate responses from AI agents may waste time for investors, make poor investment or trading decisions, and the platform may profit from investor rational decision-making owing to investors’ emotional disruption.

This article …

Ceo Marital Status And Corporate Cash Holdings, Ahmed M. Elnahas, Md Noman Hossain, Siamak Javadi

Finance Faculty Publications

We examine the effect of CEO marital status on corporate cash holdings. Consistent with the classical agency framework, we find that firms with single CEOs hold more cash compared to otherwise similar firms with married CEOs and that the excess cash held by single CEOs is significantly discounted by shareholders. Our findings survive a battery of tests to ease endogeneity and selection bias, confirming that results are not simply reflecting innate heterogeneity in preferences. Overall, our findings indicate that a variable outside the common firm- and macro-level determinants, CEO marital status, can significantly influence corporate policies.