Digital Commons Network^™

Stock Returns, Oil Prices, And Leverage: Evidence From U.S. Firms, Md Ruhul Amin, André Varella Mollick

Economics and Finance Faculty Publications and Presentations

This paper examines how the relationship between stock returns of U.S. firms and WTI oil prices is affected by leverage (debt to total assets) from 1990 to 2020. Results from our fixed-effect regression models suggest that leverage effects on stock returns are pervasive both in aggregate and cross-industry levels, while the mining industry is more sensitive. In addition to the positive oil price effects attenuated by leverage at the aggregate level, we observe stronger marginal effects of leverage only for the mining sector. Being more exposed to commodity prices, the positive effects of oil prices on stock returns in the …

Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho

Electrical and Computer Engineering Publications

Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this paper, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …

Harnessing Digitalization For Sustainable Economic Development: Insights For Asia, John Beirne, David Fernandez

Research Collection Lee Kong Chian School Of Business

Digitalization has helped to transform economies by enhancing competitiveness and productivity across a wide range of sectors. The use of big data and the rise of online platforms have accelerated this process over the past decade. In addition, the adoption of digital solutions in the face of social distancing and lockdown measures introduced due to the coronavirus disease 2019 (COVID-19) pandemic has been integral to the economic recovery process. The shift to a digitalized economy has also reduced barriers to market entry for firms, lowered inequality, and led to a promotion of social and economic inclusion. Advances in digital technology …

Vat Treatment Of The Financial Services: Implications For The Real Economy, Ismail Baydur, Fatih Yilmaz

Research Collection School Of Economics

Financial institutions are exempt from the value-added tax (VAT) in most countries. We develop a general equilibrium model with endogenous firm entry and a banking sector to accommodate three key distortions related to exempt treatment: (i) self-supply bias in the banking sector, (ii) under-taxation of payment services, and (iii) input distortions in the business sector and tax cascading. We calibrate our model to the average of Germany, France, and the UK data. Our results show that repealing exempt treatment always increases tax revenues. However, welfare gains occur only at low VAT rates due to the hump-shaped VAT Laffer curve.

Testing The Relationship Between Confidence And Effort: A Behavioral Finance Perspective On The Problem Of Financial Literacy, Louie Bernard A. Jacob, Miguel Angelo S. Rabago, Hans Erickson A. Tan, Lawrence B. Dacuycuy, Gerardo L. Largoza, Maria Fe Carmen L. Dabbay

Angelo King Institute for Economic and Business Studies (AKI)

This experimental study tested the relationship between confidence and effort with the ultimate objective of discovering how these factors may influence financial literacy. This was done through a modified version of a slider test and ball allocation task. The population consisted of 85 random participants who were primarily approached through social media. A simple OLS regression, along with robustness checks, namely the Tobit model and instrumental variable (IV) regression model using Tobit estimators, were utilized to confirm the causal relationship between confidence and effort.

Corporate Crime And Punishment: An Empirical Study, Dorothy S. Lund, Natasha Sarin

All Faculty Scholarship

For many years, law and economics scholars, as well as politicians and regulators, have debated whether corporate criminal enforcement overdeters beneficial corporate activity or in the alternative, lets corporate criminals off too easily. This debate has recently expanded in its polarization: On the one hand, academics, judges, and politicians have excoriated enforcement agencies for failing to send guilty bankers to jail in the wake of the 2008 financial crisis; on the other, the U.S. Department of Justice has since relaxed policies that encouraged individual prosecutions and reduced the size of fines and number of prosecutions. A crucial and yet understudied …

Do Esg Funds Deliver On Their Promises?, Quinn Curtis, Jill E. Fisch, Adriana Z. Robertson

All Faculty Scholarship

Corporations have received growing criticism for their role in climate change, perpetuating racial and gender inequality, and other pressing social issues. In response to these concerns, shareholders are increasingly focusing on environmental, social, and corporate governance (ESG) criteria in selecting investments, and asset managers are responding by offering a growing number of ESG mutual funds. The flow of assets into ESG is one of the most dramatic trends in asset management.

But are these funds giving investors what they promise? This question has attracted the attention of regulators, with the Department of Labor and the Securities and Exchange Commission (SEC) …

Is Offense Worth More Than Defense In The National Basketball Association?, Justin Ehrlich, Joel Potter

Sport Management - All Scholarship

Motivated by the popular sports saying, “Offense sells tickets, defense wins championships,” we use Forbes revenue data to quantify whether offense really does sell more ‘tickets’ than defense in the National Basketball Association (NBA). Employing team offensive and defensive win shares as measures of offensive and defensive proficiency, we find offensively oriented teams generate the same amount of revenue as do defensively oriented teams, other things equal. Our results suggest that both profit-maximizing and win-maximizing teams should value offensively and defensively players equivalently (per unit). Thus, in an efficient free agent market, we would expect equilibrium player salaries for offensive …

Pandemic Hope For Chapter 11 Financing, David A. Skeel Jr.

All Faculty Scholarship

One of the biggest surprises of the recent pandemic from a bankruptcy perspective has been the ready availability of financing. A variety of factors—such as an estimated $2.5 trillion in available funding at the outset of the crisis and the buoyant stock market—may have contributed. In this Essay, I focus on a less widely appreciated factor, a striking shift in the capital structure of many corporate debtors. Rather than borrowing from one group of lenders, debtors now often borrow from multiple groups of diverse lenders. Although the new capital structure complexity has downsides, it also could counteract a longstanding problem …

Stock Return Prediction Using Financial News: A Unified Sequence Model Based On Hierarchical Attention And Long-Short Term Memory Networks, Haoling Chen, Peng Liu

Research Collection Lee Kong Chian School Of Business

Stock return prediction has been a hot topic in both research and industry given its potential for large financial gain. The return signal, apart from its inherent volatility and complexity, is often accompanied by a multitude of noises, such as other stocks’ performance, macroeconomic factors and financial news, etc. To better characterize these factors, we propose a new model that consists of two levels of sequence: an NLP-based module to capture the sequential nature of words and sentences in the financial news, and a time-series-based module to exploit the sequential nature of adjacent observations in the stock price. In this …

Covid-19 And Women-Led Businesses Around The World, Yu Liu, Siqi Wei, Jian Xu

Economics and Finance Faculty Publications and Presentations

The impacts of crises are never gender-neutral, and the COVID-19 pandemic is no exception. Using a brand-new dataset covering 24 countries, we document that women-led businesses are subject to a higher likelihood of closure and a longer closure duration than men-led businesses during the pandemic. Women business leaders are also more pessimistic about the future than men business leaders. The disadvantages suffered by women-led businesses widen in high gender inequality economies and developing economies. Our results further indicate that finance and labor factors are likely to be the major contributors to these disadvantages. We suggest that COVID-19′s policy response should …

Volatility Timing Under Low-Volatility Strategy, Poh Ling Neo, Chyng Wen Tee

Research Collection Lee Kong Chian School Of Business

The authors show that the slope of the volatility decile portfolio’s return profile contains valuable information that can be used to time volatility under different market conditions in the United States. During good (bad) market conditions, the high- (low-) volatility portfolio produces the highest return. The authors proceed to devise a volatility timing strategy based on statistical tests on the slope of the volatility decile portfolio’s return profile. Volatility timing is achieved by being aggressive during strong growth periods and conservative during market downturns. Superior performance is obtained, with an additional return of 4.1% observed in the volatility timing strategy, …

Algorithmic Transparency, Jian Sun

Research Collection Lee Kong Chian School Of Business

I study the optimal algorithmic disclosure in a lending market where lenders use a predictive algorithm to mitigate adverse selection. The predictive algorithm is unobservable to borrowers and uses a manipulable borrower feature as input. A regulator maximizes market efficiency by disclosing information about the statistical properties of variables embedded in the predictive algorithm to borrowers. Under the optimal disclosure policy, the posterior belief consists of two disjoint regions in which the borrower feature is more relevant and less relevant in predicting borrower quality, respectively. The optimal disclosure policy differentiates posterior lending market equilibria by the equilibrium data manipulation levels. …

Teaching Math With Confidence-Recommendations For Improving Numeracy From The Lens Of Confidence Building, Louie Bernard A. Jacob, Miguel Angelo S. Rabago, Hans Erickson A. Tan, Lawrence Dacuycuy, Gerardo L. Largoza, Maria Fe Carmen L. Dabbay

Angelo King Institute for Economic and Business Studies (AKI)

Despite the vast amount of literature surrounding the topic of financial literacy and related problems, there is still no universally accepted solution to this issue because the main factors causing financial literacy problems are still not fully understood both by researchers and current policy-makers. A possible new approach was discovered by Skagerlund et al. (2018), as their research suggested that financial literacy is driven by numeracy (the ability to process and perform basic numerical concepts and calculations) rather than direct knowledge about financial concepts. Given that numeracy is an effort based task, this policy brief provides a list of recommendations …

The Behavioral Si* Model, With Applications To The Swine Flu And Covid-19 Pandemics, Jussi Keppo, Marianna Kudlyak, Elena Quercioli, Lones Smith, Andrea Wilson

Economics and Finance Faculty Publications and Presentations

The 1927 SIR contagion model is the dynamical system for an infection that passes at a constant rate in random pairwise meetings. Our Behavioral SI* Model assumes that everyone has access to a constant elasticity of avoidance technology. We then derive the passing rate in fully solvable Nash equilibrium of the game where everyone optimizes. The resulting dynamics are log-linear, and incidence is log-linear in prevalence, with slope less than one.

The SI* models yields extreme predictions for major contagions, not realized. At breakout, the SI* models capture exponential growth. In our BSI* model, increasing avoidance behavior bends the curve, …

Socially Responsible Corporate Customers, Rui Dai, Hao Liang, Lilian Ng

Research Collection Lee Kong Chian School Of Business

Corporate customers are an important stakeholder in global supply chains. We employ several unique international databases to test whether socially responsible corporate customers can infuse similar socially responsible business behavior in suppliers. Our findings suggest a unilateral effect on corporate social responsibility (CSR) only from customers to suppliers, an evidence further supported by exogenous variation in customers’ close-call CSR proposals and by product scandals. Customers exert influence on suppliers’ CSR through positive assortative matching and their decision-making process. Enhanced collaborative CSR efforts help improve operational efficiency and firm valuation of both customers and suppliers but increase only the customers’ future …

Mutual Fund Stewardship And The Empty Voting Problem, Jill E. Fisch

All Faculty Scholarship

When Roberta Karmel wrote the articles that are the subject of this symposium, she was skeptical of both the potential value of shareholder voting and the emerging involvement of institutional investors in corporate governance. In the ensuing years, both the increased role and engagement of institutional investors and the heightened importance of shareholder voting offer new reasons to take Professor Karmel’s concerns seriously. Institutional investors have taken on a broader range of issues ranging from diversity and political spending to climate change and human capital management, and their ability to influence corporate policy on these issues has become more significant. …

Mixed-Signal Stock Splits, Ahmed M. Elnahas, Pankaj K. Jain, Thomas H. Mcinish

Economics and Finance Faculty Publications and Presentations

We investigate CEOs who combine insider selling with stock splits, which is suspicious, because dumping stocks is inconsistent with the positive stock-split signal. Our empirical results indicate that, compared with other splits, these mixed-signal splits perform poorly and are followed by much lower buy-and-hold abnormal returns and much higher likelihoods of announcing an earnings restatement and CEO turnover in the post-split period. Our results are robust to entropy balancing and controlling for CEO characteristics, incentives, and corporate governance and highlight previously ignored agency issues around stock splits. Attention to insider trades is essential to properly interpret a stock-split signal.

Nevada Campaign Financing: U.S. House Of Representatives, 2020, Kristian Thymianos, Olivia K. Cheche, William E. Brown Jr.

Elections & Governance

In the 2020 election cycle, Nevada’s U.S. House of Representatives delegation fundraised a combined total of $9,994,636. This fact sheet summarizes the campaign donations and expenditures of these representatives. The data are collected from the Open Secrets website.

Local Religiosity, Workplace Safety, And Firm Value, Md Ruhul Amin, Incheol Kim, Suin Lee

Economics and Finance Faculty Publications and Presentations

This paper examines the effect of local religiosity on employee treatment, proxied by workplace safety incidents. Using the establishment-level data compiling on the incidents of work-related injuries, we find that employees of the establishments in more religious counties get less injured than those in less religious counties. We further find that a reduction in occupational accidents is more evident for establishments in counties dominated by one religious denomination, strengthening our argument on community solidarity and homophily stemming from religious networks. Firms whose establishments are located in high religiosity counties are less likely to violate workplace conduct and more likely to …

Corporate Cash Holding, Agency Problems And Economic Policy Uncertainty, Siamak Javadi, Mohsen Mollagholamali, Ali Nejadmalayeri, Saud Al-Thaqeb

Economics and Finance Faculty Publications and Presentations

Consistent with the agency view of cash holdings, we document a strong negative relationship between economic policy uncertainty and corporate cash holdings for non-U.S. firms from 19 countries. Our results are robust to different measures of cash holdings and model specifications and survive after addressing endogeneity. We provide evidence that the decrease in cash holdings is moderated by shareholders' ability to force managers to disgorge cash that fits consistently within the agency framework. Overall, results suggest that lowering cash holdings help alleviate agency problems in the presence of policy uncertainty and underscore the significance of country attributes in corporate finance.

Business Models For Post-Crisis Information Ecosystems, Antje Mays

Library Faculty and Staff Publications

Since early 2020, the global COVID-19 pandemic has interrupted activity across business, education, research, and communities. Public health safety precautions have forced drastic reductions in economic and educational activity, resulting in widespread economic uncertainty and sizeable budget cuts. With library budgets already declining since the 2001-2002 recession following the dotcom crash and more steeply since the 2007-2009 Great Recession spawned by the financial crash, the pandemic has accelerated trends that were already underway. Libraries’ reduced purchasing power places the information ecosystem at risk of contraction in the race to contain costs. While economic contexts and publishing forms have changed considerably. …

Air Pollution, Behavioral Bias, And The Disposition Effect In China, Jennifer (Jie) Li, Massimo Massa, Hong Zhang, Jian Zhang

Research Collection Lee Kong Chian School Of Business

Inspired by the recent health science findings that air pollution affects mental health and cognition, we examine whether air pollution can intensify the cognitive bias observed in the financial markets. Based on a proprietary data set obtained from a large Chinese mutual fund family consisting of complete trading information for more than 773,198 ac-counts in 247 cities, we find that air pollution significantly increases investors' disposition effects. Analysis based on two plausible exogenous variations in air quality (the vast dissi-pation of air pollution caused by strong winds and the Huai River policy) supports a causal interpretation. Mood regulation provides a …

Capital Structure And Political Connections: Evidence From Gcc Banks And The Financial Crisis, Fatma Ahmed, David Macmillan

Economics

Abstract Purpose – This paper investigates the effect of political connections on the capital structure of banks before and after the financial crisis in Gulf Cooperation Council (GCC) countries. Design/methodology/approach – This paper employs the natural experiment that the financial crisis offers and uses a difference-in-differences model to investigate the effect of political connections on capital structure. Capital structure is measured by the total debt to total assets ratio. Control variables include bank size, growth, profitability, coverage ratio and volatility. The research sample includes all the banks in the GCC from 2005 to 2016. Findings – The authors find that …

A Political Reciprocity Mechanism, Roland Pongou, Jean-Baptiste Tondji

Economics and Finance Faculty Publications and Presentations

We consider the problem of designing legislative mechanisms that guarantee equilibrium existence, Pareto-efficiency, and inclusiveness. To address this question, we propose a finite-horizon voting procedure that embeds clauses of reciprocity. These clauses grant voters the right to oppose actions that are not in their interest, retract actions that face opposition, and punish harmful actions. We study voters' strategic behavior under this voting procedure using two classical approaches. Following the blocking approach, we introduce two related solution concepts---the reciprocity set and the sophisticated reciprocity set---to predict equilibrium policies. We then show that these solution concepts (1) are always non-empty; (2) only …

Achieving Price Stability, Hwee Kwan Chow, Taojun Xie

Research Collection School Of Economics

The aim of delivering medium-term price stability is the stated objective of the Monetary Authority of Singapore. To this end, the central bank adopted an unusual exchange rate–based monetary policy framework that has served the economy well over the past decades. However, the shift from the phase of catch-up growth to a mature economy raises the question of whether the current monetary policy framework needs reformulation. Moreover, as global financial integration deepens, surges in cross-border capital flows impact Singapore’s exchange rate and asset prices, which has implications for economic dynamism and inclusion. Since a large and persistent deviation of the …

Media Connection And Return Comovement, Zilin Chen, Li Guo, Jun Tu, Jun Tu

Research Collection Lee Kong Chian School Of Business

Media news may cover multiple firms in one article, which establishes a media connection across firms. We propose a media connection strength (MCS) measure between two given firms, which is defined as the number of news articles co-mentioning these two firms. We show that the MCS measure can significantly explain and forecast return comovement of media-connected firm-pairs. Further analyses show that our results are robust to various alternative explanations. We argue that the MCS measure can capture comprehensive and complex correlated fundamental information among media-connected firms and hence may provide a new mechanism for return comovement beyond the existing rational- …

Towards Better Data Augmentation Using Wasserstein Distance In Variational Auto-Encoder, Zichuan Chen, Peng Liu

Research Collection Lee Kong Chian School Of Business

VAE, or variational auto-encoder, compresses data into latent attributes, and generates new data of different varieties. VAE based on KL divergence has been considered as an effective technique for data augmentation. In this paper, we propose the use of Wasserstein distance as a measure of distributional similarity for the latent attributes, and show its superior theoretical lower bound (ELBO) compared with that of KL divergence under mild conditions. Using multiple experiments, we demonstrate that the new loss function exhibits better convergence property and generates artificial images that could better aid the image classification tasks.

Association Between Financial Education, Affective And Cognitive Financial Knowledge, And Financial Behaviors, Lucy M. Delgadillo, Yoon Lee

Applied Sciences, Technology and Education Faculty Publications

Using data from the 2018 National Financial Capability Study, this paper examined the relationship between financial education participation and affective and cognitive financial knowledge. Involvement in financial education yielded statistically significant associations between affective and cognitive domains. The results showed that participation in financial education was associated with both cognitive and affective financial knowledge as well as long-term financial behaviors. The findings supported the case for life-long learning of financial education for young adults, Blacks and Hispanics, and women. One important implication was the need to include both the affective and cognitive domains when teaching or researching financial education.

Something In The Air: Does Air Pollution Affect Fund Managers’ Carbon Divestment?, Thanh Huynh, Frank Weikai Li, Ying Xia Xia

Research Collection Lee Kong Chian School Of Business

We examine whether fund managers overestimate carbon risk when they are exposed to local air pollution. We find that air pollution causes managers to underweight stocks of high-emission firms. The effects are stronger for less salient scopes of carbon emissions, among managers located in pro-environmental states, and among those likely to be surprised by air pollution—consistent with the idea that managers revise their beliefs about climate-transition risk following their exposure to air pollution. Carbon-intensive stocks sold by managers who are exposed to air pollution subsequently outperform stocks that they buy, suggesting that such underweighting is costly to fund investors.