Business Commons^™

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 …

Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao

Research Collection Lee Kong Chian School Of Business

One of the most important trends in the pharmaceutical industry is the rapid growth of specialty drugs. Specialty drugs, mostly bio based, tend to be high risk, high priced, and more regulated than traditional drugs, resulting in unprecedented challenges in distribution. Such challenges lead to the emergence of specialty distributors (SDs), which, compared with traditional wholesalers (WSs), represent a more controlled channel and carry a smaller variety of drugs. Due to the risky nature of specialty drugs, manufacturers must consider the trade-off between access and control in determining whether to use SDs (partially or exclusively). Using a unique dataset assembled …

Vehicle Rebalancing In A Shared Micromobility System With Rider Crowdsourcing, Ziliang Jin, Yulan Wang, Yun Fong Lim, Kai Pan, Zuo-Jun Max Shen

Research Collection Lee Kong Chian School Of Business

Problem definition: Shared micromobility vehicles provide an eco-friendly form of short-distance travel within an urban area. Since customers pick up and drop off vehicles in any service region at any time, such convenience often leads to a severe imbalance between vehicle supply and demand in different service regions. To overcome this, a micromobility operator can crowdsource individual riders with reward incentives in addition to engaging a third-party logistics provider (3PL) to relocate the vehicles. Methodology/results: We construct a time-space network with multiple service regions and formulate a twostage stochastic mixed-integer program considering uncertain customer demands. In the first stage, the …

Perspectives On The Impact, Mission And Purpose Of The Business School, Howard Thomas

Research Collection Lee Kong Chian School Of Business

The business school has been an important success story in the evolution of the modern university. The concept of how the impact, mission, purpose, and value of a management school should be formulated is often delegated to the dean, faculty and advisory committees in most schools. The British Academy has contributed significantly to the emerging debate on the purpose of a business school by both examining the concept of a purposeful business school in business and management education and, more recently, investigating what, and how, business schools should teach, grow and develop. Greater attention has been directed towards developing more …

Business Schools Should Be Schools Of Management: An Evolutionary Perspective, Kai Peters, Howard Thomas

Research Collection Lee Kong Chian School Of Business

This chapter looks at the original driving forces which led to the creation of institutions, particularly in the US, including the vision of their founders which would support our perspective in favour of schools of management. It looks at the years following the Second World War and how the Ford and Carnegie ‘Foundation Reports’ as well as the Cold War led to further evolution away from a school of management to a business school mission. The chapter looks at the period roughly from 1970 to 2000 during which US business school funding, which had been largely provided by the foundations, …

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 …

Why Employees Accept Lower Pay At Mission-Oriented Companies, Insiya Hussain, Marko Pitesa, Stefan Thau, Michael Schaerer

Research Collection Lee Kong Chian School Of Business

Today’s companies are likely to tout how their work benefits human welfare or “makes the world a better place.” Recent research suggests that this may come with a potential financial drawback for workers, as it can inhibit them from negotiating for higher pay. Over five studies, job candidates consistently reported that they worried asking for higher pay from these companies would be seen as greedy or inappropriate. This suggests they are aware of a common bias, known as motivation purity bias, where managers believe employees interested in material rewards of work (such as pay) are less motivated than those motivated …

Reducing Spatial Labeling Redundancy For Active Semi-Supervised Crowd Counting, Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He

Research Collection School Of Computing and Information Systems

Labeling is onerous for crowd counting as it should annotate each individual in crowd images. Recently, several methods have been proposed for semi-supervised crowd counting to reduce the labeling efforts. Given a limited labeling budget, they typically select a few crowd images and densely label all individuals in each of them. Despite the promising results, we argue the None-or-All labeling strategy is suboptimal as the densely labeled individuals in each crowd image usually appear similar while the massive unlabeled crowd images may contain entirely diverse individuals. To this end, we propose to break the labeling chain of previous methods and …

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 …

Augmenting Fake Content Detection In Online Platforms: A Domain Adaptive Transfer Learning Via Adversarial Training Approach, Ka Chung Ng, Ping Fan Ke, Mike K. P. So, Kar Yan Tam

Research Collection School Of Computing and Information Systems

Online platforms are experimenting with interventions such as content screening to moderate the effects of fake, biased, and incensing content. Yet, online platforms face an operational challenge in implementing machine learning algorithms for managing online content due to the labeling problem, where labeled data used for model training are limited and costly to obtain. To address this issue, we propose a domain adaptive transfer learning via adversarial training approach to augment fake content detection with collective human intelligence. We first start with a source domain dataset containing deceptive and trustworthy general news constructed from a large collection of labeled news …

Product Question Answering In E-Commerce: A Survey, Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam

Research Collection School Of Computing and Information Systems

Product question answering (PQA), aiming to automatically provide instant responses to customer’s questions in E-Commerce platforms, has drawn increasing attention in recent years. Compared with typical QA problems, PQA exhibits unique challenges such as the subjectivity and reliability of user-generated contents in E-commerce platforms. Therefore, various problem settings and novel methods have been proposed to capture these special characteristics. In this paper, we aim to systematically review existing research efforts on PQA. Specifically, we categorize PQA studies into four problem settings in terms of the form of provided answers. We analyze the pros and cons, as well as present existing …

Female Ceos And Investment Efficiency In The Vietnamese Market, Jun Myung Song, Chune Young Chung

Sim Kee Boon Institute for Financial Economics

This paper proposes female CEOs’ overconfidence and risky behavior stem from gender stereotype threats. With two subsamples in Vietnam—firms in the Northern and Southern regions–we empirically show that female CEOs in the North, where there is less gender stereotype, tend to overinvest relative to male CEOs. However, in the South, they are indifferent. Additional analysis reinforces the main finding that female CEOs from the North tend to take more risks even when dealing with market volatility and uncertainty (e.g., the COVID-19 pandemic). Such risky behaviors of female CEOs in the North do not deteriorate firm value but instead, possibly improve …

Air Pollution, Regulations On Emission And Firms' Social Responsibility, Jun Myung Song

Sim Kee Boon Institute for Financial Economics

This paper examines whether firms adjust their strategy in emission when air pollution is severe. Considering high PM 2.5 as severe air pollution across 65 countries, I show that firms from countries with severe air pollution have low emission score, suggesting that they put less effort in reducing emission. This is because if they improve emission strategy, firm performance deteriorates. However, such relationship disappears when the government’s environmental stringency is strong, suggesting that government’s intervention is crucial for sustainable environment. This paper concludes with analysis on the factors which can mediate the negative impact of air pollution on firms’ emission …

Essays On Corporate Social (Ir)Responsiblity, Alliance Formation And Stock Market Reaction, Qiwen Yu

Dissertations and Theses Collection (Open Access)

This dissertation consists of two essays related to corporate social (ir) responsibility (CSR/ CSI), alliance formation, and stock market reaction. The first essay examines how a potential partner’s performances in CSR and CSI may play distinct signaling roles in influencing alliance formation. I argue that partner CSR primarily serves as a signal of the partner’s trustworthiness, increasing a focal firm’s willingness to collaborate with a high-CSR partner. In contrast, partner CSI primarily signals the risks of negative spillover of a partner’s reputation for social irresponsibility to a focal firm, reducing the focal firm’s propensity to ally with a high-CSI partner. …

An Empirical Research On The Financial Distress Risk In The Garden And Construction Industry, Jianlin Guan

Dissertations and Theses Collection (Open Access)

In recent years, the garden and construction industry has faced significant financial distressdue to the downward pressure on the macro economy. This financial distress not onlyposesrisks to the financial stability and management of enterprises but also has far-reachingimpactson society.

This paper utilizes various analytical methods such as case analysis, empirical analysis, andevent analysis to derive the following conclusions:(1)The participation of garden constructionindustry enterprises in public-private partnership (PPP) projects leads to increased financial distress.(2)The higher the debt ratio of the local government where listed gardenandconstruction enterprises are located, the greater the financial distress theyexperience.(3)Enterprises in the garden and construction industry, whose …

Local, Yet Global: Implications Of Caste For Mnes And International Business, Hari Bapuji, Snehanjali Chrispal, Balagopal Vissa, Gokhan Ertug

Research Collection Lee Kong Chian School Of Business

Caste is an informal institution that influences socioeconomic action in many contexts. It is becoming increasingly evident that international business research, practice, and policy need to programmatically address caste. To facilitate this endeavour, we review the limited research in IB that has addressed caste, and theorize caste as a distinct informal institution by distinguishing it from systems of stratification like race, class, and gender. In addition, we propose a parsimonious framework to highlight the implications of caste for Indian and non-Indian MNEsin their Indian and global operations. In doing this, we focus on implications with respect to the internal organization …

Automatic Scoring Of Speeded Interpersonal Assessment Center Exercises Via Machine Learning: Initial Psychometric Evidence And Practical Guidelines, Louis Hickman, Christoph N. Herde, Filip Lievens, Louis Tay

Research Collection Lee Kong Chian School Of Business

Assessment center (AC) exercises such as role-plays have established themselves as valuable approaches for obtaining insights into interpersonal behavior, but they are often considered the “Rolls Royce” of personnel assessment due to their high costs. The observation and rating process comprises a substantial part of these costs. In an exploratory case study, we capitalize on recent advances in natural language processing (NLP) by developing NLP-based machine learning (ML) models to investigate the possibility of automatically scoring AC exercises. First, we compared the convergent-related validity and contamination with word count of ML scores based on models that used different NLP methods …

Multiple, Speeded Assessments: Initial Evidence On Subgroup Differences And Applicant Perceptions, Filip Lievens, Jan Corstjens, Christoph N. Herde

Research Collection Lee Kong Chian School Of Business

Recently, shorter assessments have emerged as potential alternatives for more resourceful traditional selection approaches. Multiple, speeded assessments (MSAs) represent such an alternative. In MSAs, candidates participate in a large number of short (a maximum of 5 min), behavioral simulations in which they face a variety of job situations. Initial psychometric evidence on the validity of MSAs is promising. Yet, validity represents only one piece of evidence. It is not known whether MSAs disadvantage specific subgroups, which may inhibit diversity. There is also no information on candidates' experience of going through an MSA, which is pivotal for the attractiveness of the …

Scaling Digital Solutions For Wicked Problems: Ecosystem Versatility, Katherine Tatarinov, Tina Ambos, Feichin Ted Tschang

Research Collection Lee Kong Chian School Of Business

Digital solutions are increasingly used to address ‘‘wicked problems’’ that are locally embedded but require global approaches. Scaling these solutions internationally is imperative for their success, but to date we know little about this process. Using a qualitative case study methodology, our paper analyzes how four digital solutions driven by the United Nations are built and how they scale internationally. These solutions address wicked problems through artificial intelligence, blockchain, and geospatial mapping, and are embedded in networks of partners which evolve during scaling to create unique ecosystem roles and configurations. We identify different ecosystem roles and find that the specific …

Hfts And Dealer Banks: Liquidity And Price Discovery In Fx Trading, Wenqian Huang, Peter O'Neill, Angelo Ranaldo, Shihao Yu

Research Collection Lee Kong Chian School Of Business

In this paper, we characterise the liquidity provision and price discovery roles of dealers and HFTs in the FX spot market during the sample period between 2012 and 2015. We find that they have different responses to adverse market conditions: HFT liquidity provision is less sensitive to spikes in market-wide volatility, while dealer bank liquidity is more robust ahead of scheduled macroeconomic news announcements when adverse selection risk is high. In periods of extreme levels of volatility, such as the `Swiss De-peg' event in our sample, HFTs appear to withdraw almost all liquidity while dealers remain. In normal times, we …

The Impact Of Working From Home On Employee Creativity: A Cross Cultural Comparison Of Germany And China, Andrew Heng

Dissertations and Theses Collection (Open Access)

The rise of work-from-home (WFH) arrangements has brought significant changes to how employees work and interact with each other. This dissertation aims to examines the potential impact of WFH arrangements on employee creativity and investigates whether this impact varies across high-context and low-context cultures, with a particular focus on how demographic characteristics such as gender, age, and education may affect this relationship. The study is conducted within a top 10 global automotive supplier with associates in China (high-context culture) and Germany (low-context culture). As individual creativity often arises from collaboration and interaction with others, I hypothesised that as WFH frequency …

The Interactive Effects Of Societal And Organizational Cultural Tightness On Employee Work Related Outcomes, Na Zhao

Dissertations and Theses Collection (Open Access)

Individuals are shaped by both their organizational and societal cultures, yet existing research often approaches these cultural dimensions in isolation, ignoring their combined impact on individual behaviors. In response to this research gap, I developed a novel theoretical framework by combining cultural tightness literature with social information processing theory. This framework highlights the interactive impacts of societal and organizational cultures on employees’ outcomes, including job performance, work attitudes, and mental health. Moreover, I proposed several mechanisms, including motivational, cognitive, and emotional mechanisms, through which these forms of cultural tightness could shape these specified work-related outcomes. To validate this framework, I …

Essays On Stakeholder Economy, Hanyu Zhang

Dissertations and Theses Collection (Open Access)

The dissertation consists of two chapters on stakeholder economy. It looks at how firms interact with the stakeholders, including not only investors, employees, customers, governments, but also the broader community and society at large, and examines how such interactions affect corporate behavior in China and the global setting. The first chapter studies how societal culture shapes firm behavior and growth by analyzing the trade-off of relying on trust in acquiring stakeholder resources, and testing with data on the number of historic Confucian schools surrounding a current firm’s location in China. Companies more exposed to Confucianism have greater social contributions and …

Esg Ratings Rewriting Or Recalibration?, Chengshuang Zhang

Dissertations and Theses Collection (Open Access)

ESG ratings are the nexus of sustainable development. Are ongoing retroactive adjustments of ESG scores rewriting or recalibration? Using datasets from 20 random weeks of downloads of Refinitiv ESG universe between 7 October 2021 to 14 December 2022, we find that the positive link between ESG scores or E&S scores to firms’ stock returns existed between 2011 to 2017, disappeared between 2002 to 2011 and attenuated between 2017 to 2021. Using the formation of the International Sustainability Standard Board on 3^rd November 2021 as the external shock event, we further find that the retroactive ESG score adjustments are not …

Essays On Corporate Social Responsibility And Strategic Choices, Yah Ling Liew

Dissertations and Theses Collection (Open Access)

CSR is receiving significant attention from both academics and businesses. However, CSR and economic goals are still perceived as conflicting. To address this gap, this dissertation put together three essays that to inform about the instrumental value of CSR and how CSR could be compatible with economic objectives.

Chapter Two reveals CSR reporting has strategic value for firms by improving firms' relationships with stakeholders and facilitating the development of sustainable development capabilities. Firms are responsive to shareholders' and governments' demands for reporting. As society increasingly demands for CSR reporting, the overlooked issue of costs and benefits of reporting is costly …

The Livingston Survey 2023, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al

Sim Kee Boon Institute for Financial Economics

The 15 participants in the June Livingston Survey predict higher output growth for the first half of 2023 than they predicted in the December 2022 survey. The forecasters, who are surveyed by the Federal Reserve Bank of Philadelphia twice a year, now project that the economy’s output (real GDP) will grow at an annual rate of 1.1 percent during the first half of 2023. They expect weaker conditions in the second half of 2023, when growth is expected to be at an annual rate of -0.7 percent. Both projections represent upward revisions from those of the December 2022 survey. Growth …

Policy Uncertainty Reduces Green Investment, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Government subsidies are often used to stimulate environment-friendly investment. We find that Chinese firms reduce green investment as the uncertainty of subsidies rises. This effect is identified from weather-driven fluctuations in air pollution that lead to fluctuations in subsidy allocations: Firms in cities where weather-driven subsidy uncertainty is high engage in less green R&D investment, patent applications, and research staff. Industries that are heavy emitters and those focused on environmental technologies are more affected. The results suggest that policy uncertainty may originate not only from political and macroeconomic shocks but from behavioral mechanisms that link policy to salient recent conditions.

Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li

Research Collection School Of Economics

We generate new evidence on disagreement among traders in the S&P 500 options market from high-frequency intraday price and volume data. Inference on disagreement is based on a model where investors observe public information but agree to disagree on its interpretation; disagreement among investors is captured by the volume–volatility elasticity. For options, there are two natural variables related to disagreement: moneyness and tenor, which we relate to disagreement about the distribution of the market index at different quantiles and times. The estimated volume–volatility elasticity equals unity for options near the money and close to expiration, which is consistent with the …

Growing Up Under Mao And Deng: On The Ideological Determinants Of Corporate Policies, Hao Liang, Rong Wang, Haikun Zhu

Research Collection Lee Kong Chian School Of Business

Historically, economic activities have been organized around certain ideologies. We investigate the impact of politicians’ ideology on corporate policies by exploring a unique setting of ideological change—China from Mao to Deng around the 1978 economic reform—in a regression discontinuity framework. We find that the age discontinuity of politicians around 18 years old in 1978, who had already joined the Chinese Communist Party (CCP) or joined soon thereafter and later became municipal paramount leaders, has had a lasting effect on contemporary firm- and city-level policies. In particular, firms in cities with mayors that joined the CCP under the ideological regime of …

Privacy Please: Power Distance And People’S Responses To Data Breaches Across Countries, Shilpa Madan, Krishna Savani, Constantine S. Katsikeas

Research Collection Lee Kong Chian School Of Business

Information security and data breaches are perhaps the biggest challenges that global businesses face in the digital economy. Although data breaches can cause significant harm to users, businesses, and society, there is significant individual and national variation in people’s responses to data breaches across markets. This research investigates power distance as an antecedent of people’s divergent reactions to data breaches. Eight studies using archival, correlational, and experimental methods find that high power distance makes users more willing to continue patronizing a business after a data breach (Studies 1–3). This is because they are more likely to believe that the business, …