Business Commons^™

Competition Law Reform And Firm Performance: Evidence From Developing Countries, Incheol Kim, Suin Lee, Bina Sharma

Finance Faculty Publications and Presentations

We examine the effects of competition laws on firm performance in East Asian countries that have enacted antitrust legislation in the last three decades. Exploiting the staggered changes of these laws as quasi-exogenous shocks, we find that strengthened competition laws improve firm performance. Treated firms increase R&D investments and efficiency in inventory and asset management, while free cash flow decreases after reforms. Also, the effect of competition laws on firm performance is stronger with weaker corporate governance. Our findings indicate that government intervention promoting competitive market environments could benefit corporate owners in emerging markets where corporate governance is often substandard.

From Hype To Reality: A Critical Analysis Of Blockchain-Based Regenerative Finance, Simon J.D. Schillebeeckx, Marco Schletz

Research Collection Lee Kong Chian School Of Business

The authors dive deep into the field of ReFi, a concept that enhances financial practices through decentralization and focuses on environmental and societal systems. The authors highlight several key problems of the space and point out that genuinely disruptive ReFi models are still in their infancy. The good news is that ReFi’s potentials are manifold and exciting. In the not-too-distant future, we might see financial applications backed by blockchain that can enhance data credibility, exchangeability, and transparency to redefine how corporations create and apportion environmental value.

Is Carbon Risk Priced In The Cross-Section Of Corporate Bond Returns?, Tinghua Duan, Frank Weikai Li, Quan Wen

Research Collection Lee Kong Chian School Of Business

This paper examines the pricing of a firm's carbon risk, measured by its carbon emissions intensity, in the cross-section of corporate bond returns. Contrary to the "carbon risk premium" hypothesis, we find bonds of firms with higher carbon emissions intensity earn significantly lower returns. This effect cannot be explained by a comprehensive list of bond characteristics and exposure to known risk factors. Investigating sources of the low carbon premium, we find the underperformance of bonds issued by carbon-intensive firms cannot be fully explained by divestment from institutional investors. Instead, our evidence is most consistent with investor underreaction to carbon risk, …

Unusual Changes In The U.S. Treasury Security Market During The Fourth Round Of Quantitative Easing, Kyle D. Allen, Scott E. Hein

Finance Faculty Publications and Presentations

The Covid-19 Pandemic and policy response rattled the US Treasury markets. Conventional US Treasuries, inflation adjusted US Treasuries, and the relationship between the two developed in ways such that ignoring changes in real interest rates yielded distorted inflation expectations estimates. Since the beginning of the pandemic, monetary policy kept nominal rates low and close to zero, but positive. Real rates, on the other hand, became increasingly negative. The relationship between the two market rates became negatively correlated, and distorted because of the fourth round of quantitative easing, along with the Fed preventing nominal yields from turning negative. Federal Reserve actions …

The Cost Of Cheap Talk: How Campaign Promises And Default Contributions Affect Donation-Based Crowd Funding Success., Tianci Leon Qiu

Dissertations and Theses Collection (Open Access)

Non-profit organisations (NPOs) find it increasingly harder to engage donors and raise funds from the public. Post-pandemic: the emphasis on tactics to raise funds online through donation-based crowdfunding (DCF) platforms has surged in importance for both NPO survival and continued beneficiary aid. However, unlike equity-based crowdfunding platforms where campaign organisers are obligated to provide investors with tangible returns based on funding milestones, NPOs on DCF platforms do not have to adhere to any funding milestones or are beholden to any tangible obligations towards donors. Consequently, NPOs are greatly incentivised to deploy cheap talk – non-binding, unverifiable messages and claims to …

What Drives The Value Of Financial Analysts’ Advice? The Role Of Earnings And Growth Forecasts, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

We offer a parsimonious index at the individual analyst level to measure the extent to which an analyst relies on earnings and long-term growth forecasts in producing her advice. Using this index, we evaluate the contribution of earnings and growth forecasts to the investment value of analysts’ stock recommendations. We find that the fraction of analysts’ advice attributed to forecasts varies considerably across analysts and sectors. The investment value of recommendations is higher for analysts who rely less on their forecasts and more on other sources of information when forming investment advice. Investors recognize the superiority of recommendations from analysts …

The Information In Asset Fire Sales, Sheng Huang, Matthew C. Ringgenberg, Zhe Zhang

Research Collection Lee Kong Chian School Of Business

Asset prices remain depressed for years following mutual fund fire sales, but little is known about the causes of these price drops. We show that asymmetric information generates price pressure during fire sales. We separate trades into expected trades, which assume fund managers scale down their portfolio, and discretionary trades. We find that discretionary trades contain fundamental information, whereas expected trades do not. Moreover, other traders cannot distinguish between discretionary and expected trades. Our findings help explain the magnitude and persistence of fire sale discounts: fund managers choose which assets to sell, and information asymmetries make it difficult for arbitrageurs …

Shrinking Factor Dimension: A Reduced-Rank Approach, Ai He, Dashan Huang, Jiaen Li, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

We propose a reduced-rank approach (RRA) to reduce a large number of factors to a few parsimonious ones. In contrast to PCA and PLS, the RRA factors are designed to explain the cross section of stock returns, not to maximize factor variations or factor covariances with returns. Out of 70 factor proxies, we find that five RRA factors outperform the Fama-French (2015) five factors for pricing target portfolios, but performs similarly for pricing individual stocks. Our results suggest that existing factor proxies do not provide enough new information at the stock level beyond the Fama-French (2015) five factors.

Structural Identification Of Pair Trades, Yi Liu

Dissertations, Theses, and Capstone Projects

This dissertation examines the structural identification of pair trades based on company fundamentals, stock price paths, and company’s capacity to transform fundamentals into value. The dissertation consists of four chapters. Chapter 1 lays the foundation for the study of pair identification. It designs the pair trading procedure and defines the trading performance measure. It also reviews and compares the performance of commonly used pair identification metrics in the literature, including normalized price squared distance, return correlation, and co-integration tests. Among the three metrics, the squared price distance represents the most effective metric and generates the best pair trading performance. The …

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 …

Cultural Distance And Momentum Effect—The Case Of Cross-Listed Companies In The United States, Ling Liu

Doctoral Dissertations (DBA)

This paper examines the momentum effect in U.S. cross-listed companies, exploring the relationship between cultural distance and momentum portfolio formation, and how cultural distance affects momentum portfolio returns for US cross-listed firms. The study selects cross-listed companies from January 2001 to December 2022 and create momentum portfolios (Chui, Timan, & Wei, 2010) to test the momentum effect of cross-listed companies in the United States. The cultural distance for cross-listed companies is then calculated using the within-group cultural diversity method (Frijns, Dodd, & Cimerova, 2016) and the Hofstede (2001) dimensional method to find the momentum effect in cultural distance sorted groups. …

Exploring Occupational Therapy’S Role In Foster Care: A Mixed Methods Study On Financial Literacy Education For Foster Youth, Ashley Carmichael, Karen Park

Summer 2023 Virtual OTD Capstone Symposium

Background: Foster youth are children under 21 years old who have been removed from their homes due to neglect or abuse and are susceptible to early adversity and trauma (Alternative Family Services, n.d.; AOTA, 2017). Financial literacy is the knowledge and skills to take control of finances (National Financial Educators Council, n.d.). In the foster care setting, occupational therapists (OTs) provide client-centered care that traditionally focuses on transitional life skills, such as seeking employment (American Occupational Therapy Association [AOTA], 2017).

Problem/Purpose: The lack of resources for foster youth to gain financial literacy skills leads to a disadvantage in …

Determinants Of Net Interest Margin For Banks Operating In Pales-Tine, Islam Abdeljawad, Ajyad Bahlaq

An-Najah University Journal for Research - B (Humanities)

The goal of this research is to identify the factors that influence the net interest margin (NIM) for Palestinian conventional banks. Palestine is a unique country with poor governance, political uncertainty, and regulatory insufficiency, adding higher information asymmetry to the decision-making process. The sample is comprised of unbalanced panel data from 15 commercial banks for the period 2011–2020. The research used a pooled OLS, a fixed-effect model, a random effect model, a robust pooled OLS, a difference GMM, and a system GMM estimators. Evidence collected supports that net interest margin is positively influenced by risk aversion, operating costs, and loan-to-deposit, …

Supply Chain Finance: Exploring The State Of Adoption With Small Business Suppliers In U.S. Defense Procurement Contracts, James C. Phelps Iii

Electronic Theses and Dissertations

Innovative supply chain finance (SCF) practices offer alternative approaches to relief of cash flow distress for suppliers in an extended enterprise by enhancing access to and affordability of working capital. Adopting optional SCF instruments can be especially beneficial for small–medium-sized enterprises (SMEs), which are more acutely affected when credit conditions tighten. This explorative research described the state of buyer-led SCF adoption in defense procurement contracts used to produce highly technical weapons systems. A case study research design with embedded units across four groups of intermediaries was employed to compare the state of SCF adoption between a defense and a commercial …

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 …

The Future Of Cryptocurrency And Blockchain Technology In Finance, Wanyi Wong, Alan @ Ali Madjelisi Megargel

Research Collection School Of Computing and Information Systems

Cryptocurrencies have been all the rage in recent years, with many being drawn to their appeal as speculative investment assets. Its proponents also champion the secure and decentralised nature of the technology it is based on, called the blockchain. Given the secure nature of blockchain technology, the idea of adopting cryptocurrencies as legal tender currency has also been mooted and experimented with – with the most famous example being the Central American nation of El Salvador’s bold move to adopting the cryptocurrency Bitcoin as legal tender in September 2021. In theory, this would provide a solution to the high transaction …

Two Essays On Investor Sentiment, Amin Amoulashkarian

Theses and Dissertations in Business Administration

The body of literature on investor sentiment underlines its impact on future stock returns, with general consensus that investor sentiments and future returns are negatively correlated (Baker and Wurgler, 2006; Brown and Cliff, 2004). This extends to the notion that a bullish investor would expect returns to be above average, while a bearish investor anticipates below-average returns (Brown and Cliff, 2004).

The first essay proposes a model to examine the influence of unexpected volatility of investor sentiment on the equity risk premium. Assumptions underpinning the model include risk-averse investors, homogeneous expectations regarding asset returns and price changes, and sentiment-influenced expectations …

Two Essays On Retail Trading, Qiqi Liang

Theses and Dissertations in Business Administration

Essay 1: Retail investors from the discount broker Robinhood swarm into stocks with pending earnings announcements and stay away from them immediately after the announcements. We study four competing explanations for this phenomenon: liquidity provision, informed trading, lottery preference, and attention-induced herding by noise traders. We find strong evidence that, immediately around earnings announcements, Robinhood investors’ behavior is primarily driven by attention-induced noise trading. Our results offer new insights into retail traders’ motivation for trading when they face heightened uncertainty from earnings announcements. Our study also goes beyond Barber et al.’s (2022) limited focus on the top 0.5% of the …

Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu

Research Collection Lee Kong Chian School Of Business

Bayesian Optimization (BO) has recently received increasing attention due to its efficiency in optimizing expensive-to-evaluate functions. For some practical problems, it is essential to consider the path-dependent switching cost between consecutive sampling locations given a total traveling budget. For example, when using a drone to locate cracks in a building wall or search for lost survivors in the wild, the search path needs to be efficiently planned given the limited battery power of the drone. Tackling such problems requires a careful cost-benefit analysis of candidate locations and balancing exploration and exploitation. In this work, we formulate such a problem as …

Evolve Path Tracer: Early Detection Of Malicious Addresses In Cryptocurrency, Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu

Research Collection School Of Computing and Information Systems

With the boom of cryptocurrency and its concomitant financial risk concerns, detecting fraudulent behaviors and associated malicious addresses has been drawing significant research effort. Most existing studies, however, rely on the full history features or full-fledged address transaction networks, both of which are unavailable in the problem of early malicious address detection and therefore failing them for the task. To detect fraudulent behaviors of malicious addresses in the early stage, we present Evolve Path Tracer, which consists of Evolve Path Encoder LSTM, Evolve Path Graph GCN, and Hierarchical Survival Predictor. Specifically, in addition to the general address features, we propose …

Budgeting And Cataloging Enhancement For Small And Medium-Sized Enterprises Towards Sustainable Development Goals, Velicia Faustine Halim, Hasnul Suhaimi

Journal of Environmental Science and Sustainable Development

This paper describes a business coaching activity for small and medium enterprises (SMEs) in chemical and waste management industries. Based on the analysis results, there was a lack of budgeting practice and suboptimal catalog marketing that comprised the majority of existing problems in SMEs. This research aims to assist the SME in improving its budgeting practice and product catalog. The method used is a qualitative method based on a business coaching approach. The research instruments adopted included in-depth individual interviews (IDI). The collected data was then processed and analyzed, starting with generating the SME's business process and service blueprint, followed …

On Teaching Multi-Criteria Decision Making With A Robot Assistant, Chen Zhang, Hakan Saraoglu, David A. Louton

Information Systems and Analytics Department Faculty Conference Proceedings

We propose a system and method for a robot assistant for teaching multi-attribute decision making (MCDM). Through questions and answers in natural language, the robot assistant learns the user’s preferences on multiple criteria involving a selection decision and makes recommendations using data on each criterion and the learned user preferences. It will include a use-case demonstration where NAO the robot will assist a human in forming a simple portfolio of mutual funds. Presenters will illustrate the architecture of the robot assisted MCDM and describe a method that is extensively used to structure complex decision problems and has been applied to …

Plan For Retirement Versus The Occupational Impact Throughout Retirement: The Significance Of Identity And Role Transitions, Priscilla Guardado, Amy Lyons-Brown

Summer 2023 Virtual OTD Capstone Symposium

OBJECTIVE: The purpose of this study was to conduct a mixed methods research study on retired individuals and identifying their occupational identity throughout their retired experience.

METHODS: Using survey methods, a demographic questionnaire was sent out to individuals who signed up to participate in the study. To participate, individuals had to be in the age range of 50-80 years with a minimum of 2 years post retirement. A total of 15 participants initially signed up with a 93% survey response rate (n=14) and 86% (n=13) response rate for completion of the study with an interview.

RESULTS: Most participants reported dealing …

Beyond "Protected" And "Private": An Empirical Security Analysis Of Custom Function Modifiers In Smart Contracts, Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

A smart contract is a piece of application-layer code running on blockchain ledgers and it provides programmatic logic via transaction-based execution of pre-defined functions. Smart contract functions are by default invokable by any party. To safeguard them, the mainstream smart contract language, i.e., Solidity of the popular Ethereum blockchain, proposed a unique language-level keyword called “modifier,” which allows developers to define custom function access control policies beyond the traditional “protected” and “private” modifiers in classic programming languages.In this paper, we aim to conduct a large-scale security analysis of the modifiers used in real-world Ethereum smart contracts. To achieve this, we …

China's Mybank: Creating Shared Value, Heli Wang, Lipika Bhattacharya

Asian Management Insights

Online banking has delivered financial inclusivity and profits, but has it also created shared value?

Blockchain And Regenerative Finance: Charting A Path Toward Regeneration, Marco Schletz, Axel Constant, Angel Hsu, Simon J.D. Schillebeeckx, Roman Beck, Martin Wainstein

Research Collection Lee Kong Chian School Of Business

The Regenerative Finance (ReFi) movement aims to fundamentally transform the governance of global common pool resources (CPRs), such as the atmosphere, which are being degraded despite international efforts. The ReFi movement seeks to achieve this by utilizing digital monitoring, reporting, and verification (D-MRV); tokenization of assets; and decentralized governance approaches. However, there is currently a lack of a clear path forward to create and implement models that actually drive the “Re-” in ReFi beyond perpetuating the existing extractive economics and toward actual regeneration. In addition, ReFi suffers from growing pains, lacking a common interoperability framework and definition for determining what …

Seeking Better Sharpe Ratio Via Bayesian Optimization, Peng Liu

Research Collection Lee Kong Chian School Of Business

Developing an excellent quantitative trading strategy to obtain a high Sharpe ratio requires optimizing several parameters at the same time. Example parameters include the window length of a moving average sequence, the choice of trading instruments, and the thresholds used to generate trading signals. Simultaneously optimizing all these parameters to seek a high Sharpe ratio is a daunting and time-consuming task, partly because of the unknown mechanism determining the Sharpe ratio. This article proposes using Bayesian optimization to systematically search for the optimal parameter configuration that leads to a high Sharpe ratio. The author shows that the proposed intelligent search …

Investigating The Relationship Between Monetary Policy, Macro-Prudential Policy And Credit Risk In Indonesia Banking Industry, Cep J. Anwar, Indra Suhendra, Eka Purwanda, Agus Salim, Nur A. Rakhmawati, Ferry Jie

Research outputs 2022 to 2026

Using a novel panel data set we study the influence of monetary and macro-prudential policies on non-performing loans as a measure of credit risk in Indonesian banking industry from Q1 2010 to Q4 2022. The panel homogeneity assumption was verified through the utilization of the Chow and Roy-Zellner tests. The findings showed that the model was not homogenous, necessitating the use of the Pooled Mean Group (PMG) estimator. The results indicated that monetary and macro-prudential policies significantly impacted credit risk. Furthermore, tight monetary and macro-prudential policies increased and reduced credit risk in the long run, respectively. The findings also showed …

The Effect Of Sustainability Information Disclosure On The Cost Of Equity Capital: An Empirical Analysis Based On Gartner Top 50 Supply Chain Rankings, Lingyu Li, Xianrong Zheng, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

While disclosing financial information has been widely proved to reduce the financing cost of a company, the impact of non-financial information, such as sustainability information, disclosing on the financing cost of the company is still in debate. The goal of this paper is to explore the impact of disclosing sustainability-related information on the cost of equity for firms. The paper first introduces the concept of sustainability information disclosure, and then exhibits its benefit through exploring its impact on reducing a firm’s financing cost. It uses the Gartner supply chain top 50 rankings to construct the experiment environment to test for …

Insider Trading And Corporate Spinoffs, Charlie Charoenwong, Kuan Yong David Ding, Jing Pan

Research Collection Lee Kong Chian School Of Business

This paper studies insider trading to examine undervaluation as a motive behind corporate spinoffs. We show an unmistakable increase (decrease) in the number of insider purchases (sales) and net purchases (sales) in the four quarters prior to a spinoff announcement. In addition, relative to a benchmark period, insider selling is significantly lower, and their net purchases significantly higher, in the three quarters prior to a spinoff announcement compared to other periods. We find that announcement period excess returns for abnormal net insider purchases are significantly higher than excess returns for abnormal net insider sales. Moreover, only firms with abnormal net …