Open Access. Powered by Scholars. Published by Universities.®

Business Commons™

Open Access. Powered by Scholars. Published by Universities.®

Research Collection Lee Kong Chian School Of Business

Discipline
Keyword
Publication Year

Articles 451 - 480 of 3153

Full-Text Articles in Business

Preservation Technology Investment And Carbon Abatement Strategies In A Supplier-Retailer Cold Chain Based On A Differential Game, Xueli Ma, Ying Zhao, Qian Luo, Qingguo Bai Oct 2022

Preservation Technology Investment And Carbon Abatement Strategies In A Supplier-Retailer Cold Chain Based On A Differential Game, Xueli Ma, Ying Zhao, Qian Luo, Qingguo Bai

Research Collection Lee Kong Chian School Of Business

Against the background of a low-carbon economy and the rising environmental awareness, extensive attention has been paid to carbon emissions in the cold chain in academic research and practice. In cold chain operations, consumers’ preference for freshness is also growing, which motivates the investment in preservation technology to improve the freshness of perishable products. However, further investment in preservation technology also increases carbon emissions. Considering these idiosyncratic features in cold chains, we apply a differential game model to examine cold chain members’ preservation technology investment and carbon abatement behaviors from a long-term horizon and dynamic perspective. The equilibrium strategies of …

Go to article

Misunderstood Menu Metrics: Side-Length Food Sizing Leads To Quantity Underestimation And Overeating, Thomas Allard, Stefano Puntoni Oct 2022

Misunderstood Menu Metrics: Side-Length Food Sizing Leads To Quantity Underestimation And Overeating, Thomas Allard, Stefano Puntoni

Research Collection Lee Kong Chian School Of Business

This research highlights consumers' failure to understand food sizing communicated using side-length metrics (e.g., 12-inch pizza, 8-inch cake, 2-inch cookie), which are ubiquitous in menus and online interfaces. A series of studies show that describing food size options using side-length metrics leads to food quantity underestimation and food intakes misaligned with consumers' objectives. This robust effect arises because of a linearization heuristic where people do not adequately adjust for the exponential difference in the surface area associated with linear changes in side-length metrics. Choice architecture interventions that replace side-length information with metrics varying linearly with quantities (e.g., surface area, numbers …

Go to article

Artificial Intelligence, Consumers, And The Experience Economy, Hannah H. Chang, Anirban Mukherjee Oct 2022

Artificial Intelligence, Consumers, And The Experience Economy, Hannah H. Chang, Anirban Mukherjee

Research Collection Lee Kong Chian School Of Business

The term Artificial Intelligence (AI) was first used by McCarthy, Minsky, Rochester, and Shannon in a proposal for a summer research project in 1955 (Solomonoff, 1985). It is widely and commonly defined to be “the science and engineering of making intelligent machines” (McCarthy, 2006). Recent technological advances and methodological developments have made AI pervasive in new marketing offerings, ranging from self-driving cars, intelligent voice assistants such as Amazon’s Alexa, to burger-making robots at restaurants and rack-moving robots inside warehouses such as Amazon’s family of robots (Kiva, Pegasus, Xanthus) and delivery drones. There is optimism, and perhaps even over-optimism, of the …

Go to article

Using Machine Learning To Extract Insights From Consumer Data, Hannah H. Chang, Anirban Mukherjee Oct 2022

Using Machine Learning To Extract Insights From Consumer Data, Hannah H. Chang, Anirban Mukherjee

Research Collection Lee Kong Chian School Of Business

Advances in digital technology have led to the digitization of everyday activities of billions of people around the world, generating vast amounts of data on human behavior. From what people buy, to what information they search for, to how they navigate the social, digital, and physical world, human behavior can now be measured at a scale and level of precision that human history has not witnessed before. These developments have created unprecedented opportunities for those interested in understanding observable human behavior–social scientists, businesses, and policymakers—to (re)examine theoretical and substantive questions regarding people’s behavior. Moreover, technology has led to the emergence …

Go to article

Building Up A Culture Of Respect, Siow-Heng Ong Oct 2022

Building Up A Culture Of Respect, Siow-Heng Ong

Research Collection Lee Kong Chian School Of Business

Recently, we have become more acutely aware of a variety of undesirable workplace circumstances and practices in Singapore. personal time; discriminatory workplace practices against members of various categories of minority groups; and bias against women staff.

Go to article

The Sun Is Rising In The East: Dual-Class Shares And The Competitive Landscape Of Technological Industries In Asia, Hao Liang, Tran Bao Phuong Nguyen, Wei Zhang Oct 2022

The Sun Is Rising In The East: Dual-Class Shares And The Competitive Landscape Of Technological Industries In Asia, Hao Liang, Tran Bao Phuong Nguyen, Wei Zhang

Research Collection Lee Kong Chian School Of Business

There has recently been a relaxation of listing regulations to accommodate and attract firms going public with dual-class shares (DCS), notably in Asia. We examine the value implications of DCS adoption by employing an event study around a regulatory change allowing DCS listings in Hong Kong. We find negative market reactions around these regulatory discussions for firms already listed in Hong Kong, especially for firms in technology (tech) sectors. However, the market reaction turned positive for tech firms during Hong Kong’s first DCS listing. We identify two distinct channels that influenced shareholders’ perspectives on DCS: the competition channel, which dominated …

Go to article

Bringing Excitement To Empirical Business Ethics Research: Thoughts On The Future Of Business Ethics, Mayowa T. Babalola, Matthijs Bal, Charles H. Cho, Lucia Garcia-Lorenzo, Omrane Guedhami, Hao Liang, Greg Shailer, Suzanne Van Gils Oct 2022

Bringing Excitement To Empirical Business Ethics Research: Thoughts On The Future Of Business Ethics, Mayowa T. Babalola, Matthijs Bal, Charles H. Cho, Lucia Garcia-Lorenzo, Omrane Guedhami, Hao Liang, Greg Shailer, Suzanne Van Gils

Research Collection Lee Kong Chian School Of Business

To commemorate 40 years since the founding of the Journal of Business Ethics, the editors-in-chief of the journal have invited the editors to provide commentaries on the future of business ethics. This essay comprises a selection of commentaries aimed at creating dialog around the theme Bringing Excitement to Empirical Business Ethics Research (inspired by the title of the commentary by Babalola and van Gils). These editors, considering the diversity of empirical approaches in business ethics, envisage a future in which quantitative business ethics research is more bold and innovative, as well as reflexive about its techniques, and dialog between quantitative …

Go to article

Broken Effects? How To Reduce False Positives In Panel Regressions, Xina Li, Phebo D. Wibbens Sep 2022

Broken Effects? How To Reduce False Positives In Panel Regressions, Xina Li, Phebo D. Wibbens

Research Collection Lee Kong Chian School Of Business

Many published papers in the management field have used statistical methods that, according to the latest insights in econometrics, can lead to elevated rates of false positives: results that appear “significant, ” whereas they are not. The question is how problematic these less robust econometric analyses are in practice for management research. This paper presents simulations and an empirical replication to investigate two widespread but now largely discredited practices in panel data analysis: nonclustered standard errors and random effects (RE). The simulations indicate that these two practices can lead to strongly elevated rates of false positives in typical empirical settings …

Go to article

Out Of The Trap: Conversion Funnel Business Model, Customer Switching Costs, And Industry Profitability, Niloofar Abolfathi, Andrea Fosfuri, Simone Santamaria Sep 2022

Out Of The Trap: Conversion Funnel Business Model, Customer Switching Costs, And Industry Profitability, Niloofar Abolfathi, Andrea Fosfuri, Simone Santamaria

Research Collection Lee Kong Chian School Of Business

Research Summary: Across many industries, firms employ a conversion funnel business model to attract customers with basic and affordable products, generate lock-in, and then sell them more advanced and expensive products. We argue that this business model, coupled with high customer switching costs, results in a market outcome characterized by aggressive pricing and reduced profits. A sudden reduction in customer switching costs disrupts the conversion funnel and can eventually increase industrywide prices and profitability, an outcome that contradicts conventional wisdom in strategy research. We develop a stylized model to formalize our ideas and provide supportive evidence using a difference-in-differences methodology …

Go to article

Contextualizing The Organizational Mindset, Joseph A. Carpini, Burak Oc Sep 2022

Contextualizing The Organizational Mindset, Joseph A. Carpini, Burak Oc

Research Collection Lee Kong Chian School Of Business

Although Schneider and Pulakos (2022, p. 2) call for scholars to adopt an “organizational mindset,” which includes “an increased organizational frame of reference on variables of interest,” the authors have overlooked the importance of contextualizing such a mindset. Contextualizing “entails linking observations to a set of relevant facts, events, or points of view that make possible research and theory that form part of a larger whole” (Rousseau & Fried, 2001, p. 1). Contextualizing is essential because it provides a common vernacular that facilitates the valid and reliable extension of the industrial-organizational (I-O) mindset to the study of organizational differences and …

Go to article

Overnight Returns, Daytime Reversals, And Future Stock Returns, Ferhat Akbas, Ekkehart Boehmer, Chao Jiang, Paul D. Koch Sep 2022

Overnight Returns, Daytime Reversals, And Future Stock Returns, Ferhat Akbas, Ekkehart Boehmer, Chao Jiang, Paul D. Koch

Research Collection Lee Kong Chian School Of Business

A higher frequency of positive overnight returns followed by negative trading day reversals during a month suggests a more intense daily tug of war between opposing investor clienteles, who are likely composed of noise traders overnight and arbitrageurs during the day. We show that a more intense daily tug of war predicts higher future returns in the cross section. Additional tests support the conclusion that, in a more intense tug of war, daytime arbitrageurs are more likely to discount the possibility that positive news arrives overnight and thus overcorrect the persistent upward overnight price pressure.

Go to article

What You See Is What You Get? Measuring Companies' Projected Employer Image Attributes Via Companies' Employment Webpages, Christian P. Theurer, Philipp Schapers, Andranik Tumasjan, Isabell M. Welpe, Filip Lievens Sep 2022

What You See Is What You Get? Measuring Companies' Projected Employer Image Attributes Via Companies' Employment Webpages, Christian P. Theurer, Philipp Schapers, Andranik Tumasjan, Isabell M. Welpe, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Information on a company's employment webpage sends signals about the employer image the company intends to project to applicants. Nonetheless, we know little about the content of recruitment signals sent via company employment webpages. This study develops a method to measure companies' projected employer image attributes based on their employment webpages. Specifically, we analyze companies' projected employer image attributes by applying computer-aided text analysis (CATA) to the employment webpages of 461 Fortune 500 companies (i.e., more than 11,100 individual pages). Our results show that projected employer image attributes remain relatively stable over time. Moreover, we find relatively low levels of …

Go to article

Employer Image Within And Across Industries: Moving Beyond Assessing Points-Of-Relevance To Identifying Points-Of-Difference, Greet Van Hoye, Filip Lievens, Bert Weijters, Saartje Cromheecke Sep 2022

Employer Image Within And Across Industries: Moving Beyond Assessing Points-Of-Relevance To Identifying Points-Of-Difference, Greet Van Hoye, Filip Lievens, Bert Weijters, Saartje Cromheecke

Research Collection Lee Kong Chian School Of Business

This study draws from brand positioning research to introduce the notions of points-of-relevance and points-of-difference to employer image research. Similar to prior research, this means that we start by investigating the relevant image attributes (points-of-relevance) that potential applicants use for judging organizations' attractiveness as an employer. However, we go beyond past research by examining whether the same points-of-relevance are used within and across industries. Next, we further extend current research by identifying which of the relevant image attributes also serve as points-of-difference for distinguishing between organizations and industries. The sample consisted of 24 organizations from 6 industries (total N = …

Go to article

Distinctive Features Of Nonverbal Behavior And Mimicry In Application Interviews Through Data Analysis And Machine Learning, Sanne Rogiers, Elias Corneillie, Filip Lievens, Frederik Anseel, Peter Veelaert, Wilfried Philips Sep 2022

Distinctive Features Of Nonverbal Behavior And Mimicry In Application Interviews Through Data Analysis And Machine Learning, Sanne Rogiers, Elias Corneillie, Filip Lievens, Frederik Anseel, Peter Veelaert, Wilfried Philips

Research Collection Lee Kong Chian School Of Business

This paper reveals the characteristics and effects of nonverbal behavior and human mimicry in the context of application interviews. It discloses a novel analyzation method for psychological research by utilizing machine learning. In comparison to traditional manual data analysis, machine learning proves to be able to analyze the data more deeply and to discover connections in the data invisible to the human eye. The paper describes an experiment to measure and analyze the reactions of evaluators to job applicants who adopt specific behaviors: mimicry, suppress, immediacy and natural behavior. First, evaluation of the applicant qualifications by the interviewer reveals …

Go to article

Corporate Actions And The Manipulation Of Retail Investors In China: An Analysis Of Stock Splits, Sheridan Titman, Chi Shen Wei, Bin Zhao Sep 2022

Corporate Actions And The Manipulation Of Retail Investors In China: An Analysis Of Stock Splits, Sheridan Titman, Chi Shen Wei, Bin Zhao

Research Collection Lee Kong Chian School Of Business

We identify a group of “suspicious” firms that use stock splits, perhaps along with other activities, to artificially inflate their share prices. Following the initiation of suspicious splits, share prices temporarily increase, and subsequently decline below their presplit levels. Using account level data from the Shanghai Stock Exchange, we find that small retail investors acquire shares in firms initiating suspicious splits, while more sophisticated investors accumulate positions before suspicious split announcements and sell in the postsplit period. We also find that insiders sell large blocks of shares and obtain loans using company stock as collateral around the initiation of suspicious …

Go to article

Attraction Versus Competition: A Tale Of Two Similarity Effects In Director Selection Of Chinese Firms, Gao Renfei, Helen Hu, Toru Yoshikawa Sep 2022

Attraction Versus Competition: A Tale Of Two Similarity Effects In Director Selection Of Chinese Firms, Gao Renfei, Helen Hu, Toru Yoshikawa

Research Collection Lee Kong Chian School Of Business

Extant research has focused primarily on the collaborative side of chair-director similarity in director selection, whereas the potential competitive side remains underexplored. Emphasizing the dual role of directors as both collaborators and competitors, as perceived by chairs, we incorporate both the similarity-attraction logic and the similarity-competition logic in director selection and develop a collaborative-competitive framework to reconcile the tension between them. Based on new director selection data from Chinese listed firms, we find that chair-director similarity in the competitive-oriented political background is negatively related to the likelihood of the director being selected—consistent with the similarity-competition logic, whereas chair-director similarity in …

Go to article

Experiential Learning: The Case Of Training Mba Students In An Asian School, Chiyachantana N. Chiraphol, Kuan Yong David Ding, Jack Jiajun Hong Sep 2022

Experiential Learning: The Case Of Training Mba Students In An Asian School, Chiyachantana N. Chiraphol, Kuan Yong David Ding, Jack Jiajun Hong

Research Collection Lee Kong Chian School Of Business

Consulting for a startup company is an effective way for Master of Business Administration (MBA) students to learn about management consulting, and the ways and means of a startup company. This paper discusses the experience of an MBA startup project within the context of a core corporate finance course. The project requires the active engagement of several groups of stakeholders—MBA students, the university’s entrepreneurship incubator, a selection of startup companies, and the project’s academic collaborators. In line with the literature, we find that entrepreneurship education through student-startup collaboration contributes to the students’ entrepreneurial learning, and that the offering of an …

Go to article

Smart Charging Of Electric Vehicle: An Innovative Business Model For Utility Firms, Owen Wu, Safak Yucel, Yangfang (Helen) Zhou Sep 2022

Smart Charging Of Electric Vehicle: An Innovative Business Model For Utility Firms, Owen Wu, Safak Yucel, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Problem Definition: By providing an environmentally friendly alternative to traditional vehicles, electric vehicles will transform urban mobility, particularly in smart cities. In practice, once an electric vehicle is plugged in, the charging station completes charging as soon as possible. Given that the procurement cost of electricity and associated emissions vary significantly during a day, substantial savings can be achieved by smart charging—delaying charging until the cost is lower. In this paper, we study smart charging as an innovative business model for utility firms. Practical Relevance: Utility firms are already investing in charging stations and they can achieve significant cost savings …

Go to article

Fractile Graphical Analysis In Finance: A New Perspective With Applications, Anil K. Bera, Aurobindo Ghosh Sep 2022

Fractile Graphical Analysis In Finance: A New Perspective With Applications, Anil K. Bera, Aurobindo Ghosh

Research Collection Lee Kong Chian School Of Business

Fractile Graphical Analysis (FGA) was proposed by Prasanta Chandra Mahalanobis in 1961 as a method for comparing two distributions at two different points (of time or space) controlling for the rank of a covariate through fractile groups. We use bootstrap techniques to formalize the heuristic method used by Mahalanobis for approximating the standard error of the dependent variable using fractile graphs from two independently selected “interpenetrating network of subsamples.” We highlight the potential and revisit this underutilized technique of FGA with a historical perspective. We explore a new non-parametric regression method called Fractile Regression where we condition on the ranks …

Go to article

The Breadth Of Normative Standards: Antecedents And Consequences For Individuals And Organizations, Shilpa Madan, Shankha Basu, Sharon Ng, Krishna Savani Sep 2022

The Breadth Of Normative Standards: Antecedents And Consequences For Individuals And Organizations, Shilpa Madan, Shankha Basu, Sharon Ng, Krishna Savani

Research Collection Lee Kong Chian School Of Business

Normative standards refer to ideals to which people, products, and organizations are held. The present research (N = 2,224) investigates a novel construct—the breadth of normative standards, or the number of criteria that normative standards need to meet. Using archival and primary data in both organizational and consumer contexts, Studies 1–2 found that Indians’ and Singaporeans’ normative standards in several domains (e.g., a good job, a good body wash) needed to satisfy more criteria than those of Americans and the British. Using incentive-compatible designs, Studies 3–5 identified two downstream consequences of broader normative standards; decision-makers with broader standards pay greater …

Go to article

Reaching For Rigor And Relevance: Better Marketing Research For A Better World, Shilpa Madan, Et. Al. Sep 2022

Reaching For Rigor And Relevance: Better Marketing Research For A Better World, Shilpa Madan, Et. Al.

Research Collection Lee Kong Chian School Of Business

Over the past several decades, scholars have highlighted the obligations and opportunities for marketing as a discipline to play a role in creating a better world — or risk becoming irrelevant for the largest problems facing consumers and society. This paper provides a framework to enhance the relevance and rigor of research in marketing that not only contributes new knowledge to science, but also makes a positive difference in the world. To that end, we urge authors and reviewers to foster cross-fertilization from different theoretical and methodological silos, bolster robustness through multiple methods, and expand the domain of research to …

Go to article

International Asset Pricing With Strategic Business Groups, Massimo Massa, Hong Zhang, Hong Zhang Aug 2022

International Asset Pricing With Strategic Business Groups, Massimo Massa, Hong Zhang, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Firms in global markets often belong to business groups. We argue that this feature can have a profound influence on international asset pricing. In bad times, business groups may strategically reallocate risk across affiliated firms to protect core “central firms.” This strategic behavior induces co-movement among central firms, creating a new intertemporal risk factor. Based on a novel data set of worldwide ownership for 2002–2012, we find that central firms are better protected in bad times and that they earn relatively lower expected returns. Moreover, a centrality factor augments traditional models in explaining the cross section of international stock returns.

Go to article

Customer Concentration And Corporate Carbon Emissions, Saiying Deng, Tinghua Duan, Frank Weikai Li, Xiaoling Pu Aug 2022

Customer Concentration And Corporate Carbon Emissions, Saiying Deng, Tinghua Duan, Frank Weikai Li, Xiaoling Pu

Research Collection Lee Kong Chian School Of Business

This paper examines whether economic links with major corporate customers curb corporate carbon emissions. We show that supplier firms with a concentrated customer base have significantly lower carbon emissions. The baseline results are robust to alternative measures of carbon emissions and customer concentration, and various approaches that mitigate endogeneity concerns due to omitted variables and reverse causality. Moreover, the curbing effect of customer concentration on supplier carbon emissions is more pronounced in firms facing lower customer switching costs, with less (more) supplier (customer) bargaining power, fewer redeployable assets, operating in more carbon-intensive industries, and after the Paris Agreement of 2015. …

Go to article

Pricing And Quality Strategies For An On-Demand Housekeeping Platform With Customer-Intensive Services, Jianjun Yu, Yanli Fang, Yuanguang Zhong, Xiong Zhang, Ruijie Zhang Aug 2022

Pricing And Quality Strategies For An On-Demand Housekeeping Platform With Customer-Intensive Services, Jianjun Yu, Yanli Fang, Yuanguang Zhong, Xiong Zhang, Ruijie Zhang

Research Collection Lee Kong Chian School Of Business

In this paper, we study an on-demand housekeeping platform in which suppliers have hetero-geneous opportunity costs, and customers are sensitive to service quality, price, and waitingtime. The platform charges fees from customers and divides revenue with service suppliers ina certain proportion. We analyze two types of market coverage, namely full market coverageand partial market coverage. We find that as the potential demand market capacity expands,the platform will choose to lower prices to attract more customers and service suppliers until itreaches the partial market, thereby obtaining higher revenue, and suppliers will provide lowerquality services to serve more customers and thus obtain …

Go to article

Information Acquisition And Expected Returns: Evidence From Edgar Search Traffic, Frank Weikai Li, Chengzhu Sun Aug 2022

Information Acquisition And Expected Returns: Evidence From Edgar Search Traffic, Frank Weikai Li, Chengzhu Sun

Research Collection Lee Kong Chian School Of Business

This paper examines expected return information embedded in investors' information acquisition activity. Using a novel dataset containing investors' access of company filings through SEC's EDGAR system, we reverse engineer their expectations over future payoffs and show that the abnormal number of IPs searching for firms' financial statements strongly predict future returns. The return predictability stems from investors allocating more effort to firms with improving fundamentals and following exogeneous shock to underpricing. A long-short portfolio based on our measure of information acquisition activity generate monthly abnormal return of 80 basis points and does not reverse over the long-run.. In addition, the …

Go to article

The Cryptocurrency Participation Puzzle, Ran Duchin, David H. Solomon, Jun Tu, Xi Wang Aug 2022

The Cryptocurrency Participation Puzzle, Ran Duchin, David H. Solomon, Jun Tu, Xi Wang

Research Collection Lee Kong Chian School Of Business

We show that ongoing zero portfolio weights in cryptocurrency are surprisingly difficult to generate in a standard Bayesian portfolio theory framework. With ten years of prior data, equity market investors would need very pessimistic priors on mean returns to justify never having bought cryptocurrency: -10.6% per month for Bitcoin, and -19.6% per month for a diversified portfolio of cryptocurrencies. Moreover, most priors that involve never purchasing cryptocurrency imply that investors should short cryptocurrency. Optimal absolute weights are generally small but non-trivial (1-5%), frequently positive, and fairly smooth despite returns being volatile. Under a wide range of priors, the certainty equivalent …

Go to article

Inflation Expectations Can Be A Self-Fulfilling Prophecy, Aurobindo Ghosh, Khyati Chauhan, Muskan Bagrodia Aug 2022

Inflation Expectations Can Be A Self-Fulfilling Prophecy, Aurobindo Ghosh, Khyati Chauhan, Muskan Bagrodia

Research Collection Lee Kong Chian School Of Business

In a commentary, SMU Assistant Professor of Finance (Education) Aurobindo Ghosh, SMU postgraduate student and Research Assistant for the SInDEx Project Muskan Bagrodia and International Monetary Fund Economic Research Assistant Khyati Chauhan weighed in on why inflation expectations matter as much as economic data. They discussed how inflation expectations can be a self-fulfilling prophecy, and shared the key takeaways of the quarterly DBS-Sim Kee Boon Institute’s Singapore Index of Inflation Expectations (DBS-SKBI SInDEx) survey. They concluded that effective communication on inflation control measures, in addition to credible policy decisions, will help consumers feel assured and refrain from basing purchasing decisions …

Go to article

Dynamic Stochastic Matching Under Limited Time, Aouad Ali, Omer Saritac Aug 2022

Dynamic Stochastic Matching Under Limited Time, Aouad Ali, Omer Saritac

Research Collection Lee Kong Chian School Of Business

In centralized matching markets such as carpooling platforms and kidney exchange schemes, new participants constantly enter the market and remain available for potential matches during a limited period of time. To reach an efficient allocation, the "timing"of the matching decisions is a critical aspect of the platform's operations. There is a fundamental tradeoff between increasing market thickness and mitigating the risk that participants abandon the market. Nonetheless, the dynamic properties of matching markets have been mostly overlooked in the algorithmic literature. In this paper, we introduce a general dynamic matching model over edge-weighted graphs, where the agents' arrivals and abandonments …

Go to article

A Comprehensive Examination Of The Cross-Validity Of Pareto-Optimal Versus Fixed-Weight Selection Systems In The Biobjective Selection Context., Wilfried De Corte, Filip Lievens, Paul R. Sackett Aug 2022

A Comprehensive Examination Of The Cross-Validity Of Pareto-Optimal Versus Fixed-Weight Selection Systems In The Biobjective Selection Context., Wilfried De Corte, Filip Lievens, Paul R. Sackett

Research Collection Lee Kong Chian School Of Business

The article presents evidence for the cross-validity potential of fixed-weight (FW) versus Pareto-Optimal (PO) selection systems in biobjective selection situations where both the goals of diversity and quality are valued and the importance of the goals is undecided a priori. The article extends previous research by also studying the cross-validity potential of selection systems in the practically most important sample-to-sample cross-validity scenario. We address three research questions: (a) Do different PO systems show comparable levels of relative (i.e., proportional) achievement upon cross-validation? (b) Do PO systems achieve higher levels of relative achievement upon cross-validation than FW selection systems?, and (c) …

Go to article

Do Alpha Males Deliver Alpha? Facial Width-To-Height Ratio And Hedge Funds, Yan Lu, Melvyn Teo Aug 2022

Do Alpha Males Deliver Alpha? Facial Width-To-Height Ratio And Hedge Funds, Yan Lu, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

An abundance of evidence relates facial width-to-height ratio (fWHR) to masculine behaviors in males. We show that hedge funds operated by high-fWHR managers underperform those operated by low-fWHR managers, bear greater downside risk, are more susceptible to fire sales, and fail more often. High-fWHR managers compensate for their underperformance by marketing their funds more aggressively, thereby garnering higher flows and fee revenues. By exploiting major personal events that shape testosterone, namely marriage and fatherhood, we trace the biological mechanism underlying the relation between fWHR and investment performance to circulating testosterone. Our findings are robust and extend to equity mutual funds.

Go to article

First Prev Next Last