Finance and Financial Management Commons^™

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

Partner Performance Evaluation, Disclosure Of Key Audit Matters, And Audit Quality, Shenghua Chen

Dissertations and Theses Collection (Open Access)

Transparency of information and audit quality are crucial for the efficiency and stability of the market. The disclosure of key audit matters has become an essential part of audit reports, yet there remains widespread debate regarding the role of key audit matters. This study finds a significant positive correlation between the extent of key audit matter disclosures and audit quality. Detailed disclosures can enhance information transparency, strengthen auditors’ sense of responsibility, and reduce information asymmetry. However, over-templating may have negative effects on audit quality, leading to a lack of personalized judgment by auditors. Additionally, this paper suggests that the partner …

An Agent-Based Computational Finance Simulation Model To Study Market Efficiency, Wei Feng, Keng Siau, Wee-Yeap Lau, Lim-Thye Goh, Haonan Chen

Research Collection School Of Computing and Information Systems

The advancement of computational modeling, data systems, and digital infrastructure has enabled the rise of agent-based computational finance (ACF). This study models interactions among heterogeneous investors. By embedding behavioral logics such as environmental, social, and governance (ESG) preferences and volatility thresholds, the model captures microstructural dynamics under different trading rules. Using ACF, the authors compare transaction plus 0 day (T+0) to transaction plus 1 day (T+1). Results show that T+0 improves price discovery, deepens liquidity, and reduces transaction costs. From a computational perspective, this research contributes to ACF by showing how policy logic and investor heterogeneity can be encoded and …

Natural Capital Credit Risk Assessment In Agricultural Lending: An Approach Based On The Natural Capital Protocol, Francisco Ascui, Theodor Florian Cojoianu

Research Collection College of Integrative Studies

It is increasingly recognised that financial institutions have significant impacts and dependencies on natural capital – defined as the stock of the world’s renewable and non-renewable natural resources and ecosystems that yield flows of environmental goods and services, which directly and indirectly underpin the global economy and human wellbeing. Historically, many of these impacts and dependencies have been overlooked. The value of goods and services that nature provides ‘for free’ has often been ignored, and resources have typically been priced at their cost of extraction, rather than the cost of their replacement or substitution, which would promote more sustainable long-term …

Breaking The Language Barriers? Machine Translation Technology And Analysts’ Forecasts For Firms With Foreign Operations, Bingxu Fang, Pengkai Lin

Research Collection School Of Accountancy

We study the impact of machine translation technology on analysts’ forecasts for firms with foreign operations. Exploiting the staggered rollout of Google Translate’s support for translating foreign languages into English, we find that U.S. analysts improve their forecast accuracy for firms with substantial business exposure to the corresponding foreign countries. We obtain similar evidence using an international sample of analysts covering firms outside their home countries. The improvement in forecast accuracy is greater for analysts with limited language skills or brokerage resources to process foreign information. Further analysis suggests that analysts raise more questions about firms’ foreign exposure during conference …

Bank Competition Amid Digital Disruption: Implications For Financial Inclusion, Erica Xuewei Jiang, Yang Gloria Yu, Jinyuan Zhang

Sim Kee Boon Institute for Financial Economics

We study how digital disruption impacts bank competition, considering consumers’ heterogeneous digital preferences. We find that the rollout of 3G networks contracts bank branch networks and leads to divergence in branching and pricing strategies across banks. These developments benefit young consumers but increase the unbanked rate for poorer and older consumers. A structural model shows that the higher perceived digital quality by younger borrowers mainly prompts these adjustments, causing significant surplus losses for older savers. Counterfactual exercises illustrate that subsidizing older savers opting for mobile banking effectively offsets these disparities at minimal cost, facilitating a smoother digital transition.

Competency Model For General Managers Of Chain Independent Clinical Laboratory (Icl) Subsidiaries, Haiyan Wen

Dissertations and Theses Collection (Open Access)

An independent clinical laboratory (ICL) is a medical institution that has received approval from health authorities, holds independent legal status, and specializes in medical testing or pathological diagnostics, assuming responsibility independently. It is also referred to as a third-party medical testing laboratory. During in-depth research on the enterprises, it was found that while the chain ICL industry is rapidly growing, the issues of uncertainty and difficulty in selecting subsidiary general managers have become a common concern and pain point among senior managers.

The study combines theoretical and data analysis to identify distinct and important competency characteristics of general managers of …

Universal Return And Factor Timing, Poh Ling Neo, Chyng Wen Tee, Jeroen Kerkhof

Research Collection Lee Kong Chian School Of Business

The authors highlight the shortcomings of commonly used performance graphs in assessing and comparing investment returns. This paper's main conceptual contribution is the introduction of Universal Return (UR) - a visual method to evaluate and rank investment strategies that challenges the traditional focus on raw performance statistics. The authors argue that the ranking of investment performance when viewed from a pool of investors over different entry time is more important than its overall absolute returns, as it better aligns investment analysis with the needs of investors, who are primarily concerned with identifying currently successful strategies or managers rather than dwelling …

The Effect Of Private Placement On Investment Efficiency: Empirical Evidence From The New Refinancing Regulations, Zhiyong Han

Dissertations and Theses Collection (Open Access)

Compared with public offerings, private placements are more attractive to investors due to a lower threshold, a simpler procedure, and a higher success rate of issuance. These advantages make private placements the preferred choice for listed companies seeking to issue additional shares in many capital markets. With the increased prevalence of private placements as a refinancing method, how to effectively leverage raised funds and improve investment efficiency has emerged as a topic under discussion within the academic community. However, whether private placements can affect investment efficiency remains controversial. Moreover, previous studies lack systematic empirical evidence, and endogeneity issues hinder an …

Impact Of Project Simulation Shareholding Incentive On Team Performance: Research Based On The Construction Industry, Jian Zhou

Dissertations and Theses Collection (Open Access)

China's construction industry is vast and possesses a wide market; however, it faces challenges such as unclear stratification and low concentration levels. Construction enterprises face significant constraints in key areas such as financial strength, team stability, and technological advancement, while also bearing substantial costs related to supervision and accountability. The project simulation shareholding mode enhances employees' sense of belonging and responsibility through a collaborative approach characterized by joint management, shared risks, and shared benefits. This improves project execution efficiency and quality, ultimately strengthening the core competitiveness of the enterprise. In the construction industry, projects often involve substantial investments and long-term …

Manufacturing Enterprises' Gross Margins And Performance: A Study On The Moderating Effect Of Management Expenses And R&D Expenses, Jiuliu Zhang

Dissertations and Theses Collection (Open Access)

In the context of globalization, manufacturing enterprises are integral to national economies, with their financial stability closely related to increasingly fierce market competition. Among various financial metrics, gross margin stands out as a key indicator of product profitability, significantly impacting production decisions, cost control, and pricing strategies. Understanding the relationship between the gross margins of manufacturing enterprises and their performance is essential for optimizing their financial structures and enhancing their market competitiveness. The study aims to investigate the correlation between gross margin and enterprise performance by developing complex, scientifically sound models and utilizing big data analysis technology. Additionally, it examines …

A Full-History Network Dataset For Btc Asset Decentralization Profiling, Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu

Research Collection School Of Computing and Information Systems

Since its advent in 2009, Bitcoin (BTC) has garnered increasing attention from both academia and industry. However, due to the massive transaction volume, no systematic study has quantitatively measured the asset decentralization degree specifically from a network perspective.In this paper, by conducting a thorough analysis of the BTC transaction network, we first address the significant gap in the availability of full-history BTC graph and network property dataset, which spans over 15 years from the genesis block (1st March, 2009) to the 845651-th block (29, May 2024). We then present the first systematic investigation to profile BTC's asset decentralization and design …

An Empirical Test Of Auction Efficiency: Evidence From Mbs Auctions Of The Federal Reserve, Pietro Bonadi, Ali Hortacsu, Zhaogang Song

Research Collection Lee Kong Chian School Of Business

PurposeWe estimate the marginal cost curve of each dealer in each auction, based on structural models of the multiunit discriminatory-price auction.Design/methodology/approachAuction theory has ambiguous implications regarding the relative performance of three formats of multiunit auctions: uniform-price, discriminatory-price and Vickrey auctions. We evaluate the performance of these three auction formats using bid-level data of the Federal Reserve’s purchase auctions of agency MBS from June 2014 through November 2014.FindingsOur results suggest that neither uniform-price nor Vickrey auctions outperform discriminatory-price auctions in terms of the total expenditure. However, Vickrey auctions outperform discriminatory-price auctions in terms of efficiency, with the efficiency gain around 0.74% …

A Practical Guide To Driving Financial Inclusion Through Cbdcs, Heng Wang

Research Collection Yong Pung How School Of Law

Welcome back to our blog series exploring the potential that central bank digital currencies (CBDCs) hold to positively impact individuals that are currently unserved or underserved by financial systems globally. Together with Professor Wang, we first delved into the challenges and opportunities of driving financial inclusion, and how CBDCs could serve as an important mechanism in ensuring that no one is excluded from financial services – or our increasingly digital economies and societies. In our second blog we then examined how CBDCs can be intentionally designed to drive financial inclusion. In this third and final piece, Professor Wang offers a …

Impact Of Industrial Park Platforms On Sme Financing: Evidence From The Ld Park, Zhendong Liu

Dissertations and Theses Collection (Open Access)

Small and medium-sized enterprises (SMEs) are essential to the Chinese economy. However, when seeking financing, SMEs often face stricter financing conditions and higher financing costs due to information asymmetry in the market, commonly referred to as the problem of “difficult and expensive financing.” This issue severely limits the growth potential of SMEs. This study explores the positive role that industrial parks play as a bridge between banks and SMEs in alleviating the “difficult and expensive financing” problem. The study surveyed 54 industrial parks and collected 268 valid questionnaires from banks, industrial parks, and SMEs. The data analysis yielded the following …

Physical Frictions And Digital Banking Adoption, Hyun Soo Choi, Roger Loh

Research Collection Lee Kong Chian School Of Business

The behavioral literature suggests that minor frictions can elicit desirable behavior without obvious coercion. Using closures of ATMs in a densely populated city as an instrument for small frictions to physical banking access, we find that customers affected by ATM closures increase their usage of the bank's digital platform. Other spillover effects of this adoption of financial technology include increases in point-of-sale (POS) transactions, electronic funds transfers, automatic bill payments and savings, and a reduction in cash usage. Our results show that minor frictions can help overcome the status-quo bias and facilitate significant behavior change.

Do Women Receive Worse Financial Advice?, Utpal Bhattacharya, Amit Kumar, Sujata Visaria, Jing Zhao

Research Collection Lee Kong Chian School Of Business

We arranged for trained undercover men and women to pose as potential clients and visit all 65 local financial advisory firms in Hong Kong. At financial planning firms, but not at securities firms, women were more likely than men to receive advice to buy only individual or only local securities. Female clients who signaled high confidence, high risk tolerance, or a domestic outlook were especially likely to receive this suboptimal advice. Our theoretical model explains these patterns as a result of statis-tical discrimination interacting with advisors’ incentives. Taste-based discrimination is unlikely to explain the results.

Temporal Relational Graph Convolutional Network Approach To Financial Performance Prediction, Jeyaraman Brindha Priyadarshini, Bing Tian Dai, Yuan Fang

Research Collection School Of Computing and Information Systems

Accurately predicting financial entity performance remains a challenge due to the dynamic nature of financial markets and vast unstructured textual data. Financial knowledge graphs (FKGs) offer a structured representation for tackling this problem by representing complex financial relationships and concepts. However, constructing a comprehensive and accurate financial knowledge graph that captures the temporal dynamics of financial entities is non-trivial. We introduce FintechKG, a comprehensive financial knowledge graph developed through a three-dimensional information extraction process that incorporates commercial entities and temporal dimensions and uses a financial concept taxonomy that ensures financial domain entity and relationship extraction. We propose a temporal and …

Notes And Thoughts On Retrieving Historical Members Of The S&P 500 From Wrds, Lip Hwe Tee

Research Collection Library

Retrieving all historical members or constituents of the S&P 500 can be done using Python coding on the CRSP dataset through an API connection with WRDS (Wharton Research Data Services (WRDS), n.d. -f; WRDS, n.d. -e).

Machine Learning As Arbitrage: Can Economics Help Explain Ai?, Huahao Lu, Matthew Spiegel, Hong Zhang

Sim Kee Boon Institute for Financial Economics

Machine learning algorithms have shown to be remarkably successful tools for predicting asset returns. However, the underlying economic mechanisms behind their performance remain unclear. This paper proposes a model-based dynamic arbitrage trading strategy that combines economic and statistical nonstationarity to demystify this black box. In predicting stock returns based on 153 firm characteristics (anomalies), our strategy ranks anomalies similarly to neural networks in the cross-section. Overall, it accounts for approximately 87.9 bps monthly alphas of the high-minus-low portfolios selected by neural networks in the time series. When unpublished anomalies and microcap stocks are excluded from trading, this strategy can fully …

The Impact Of Instrumental Attribution In Ai-Enabled Monitoring On Counterproductive Work Behavior, Qiang Zhang

Dissertations and Theses Collection (Open Access)

AI-enabled monitoring tools are theoretically expected to suppress unethical employee behavior. However, in practice, employees may perceive such monitoring as being driven by leaders' instrumental motives, primarily focused on personal performance evaluation and self-interest. This perception can foster feelings of job insecurity and moral disengagement, ultimately leading to counterproductive work behavior (CWB), which includes unethical employee behavior and turnover. These outcomes may undermine the intended effectiveness of AI-enabled monitoring tools. This study aims to explore the impact of Instrumental Attribution in AIenabled Monitoring (IAAIM) on CWB, specifically focusing on unethical employee behavior and turnover, through both theoretical and empirical lenses. …

Research On The Influence Mechanism Of Value Co-Creation On Enterprise Performance: Empirical Evidence From China's Motorsport Culture Industry, Xiaodong Weng

Dissertations and Theses Collection (Open Access)

We are in an era of digital economy and enterprise change management. The application of digital technologies such as Artificial Intelligence (AI), Blockchain, Cloud Computing, and Big Data (collectively known as ABCD technologies) has increased the competition in the value chain and value network between customers and enterprises. Users can now intervene in product design, transaction, and feedback before, during, and after the process, breaking through the limitations of time and space. They leverage their low-cost advantage to draw attention, shifting from a traditional, unidirectional supply logic to a value co-creation logic. This influences both enterprises and customers to produce …

Low/No-Code And Traditional Code Integration In Digital Banking, Kim Siang Yeo, Alan @ Ali Madjelisi Megargel

Research Collection School Of Computing and Information Systems

This paper seeks to combine the merits of Low/No-Code Programming (LNCP) with Traditional Programming (TP) systems to achieve true “agility” when creating banking infrastructure. While it is easy to fall prey to Shiny Object Syndrome in today’s dynamic and fast-paced banking technology world, it is not easy to pick out the right technology for today and tomorrow’s financial industry. Instead, LNCPs allow us to hedge all bets by equally lowering the technical entry barriers for each technology. The added integration of TP, when needed, also rounds out the faults related to sole LNCP use and provides any bank with a …

Essays On Corporate Finance, Su Hee Yun

Dissertations and Theses Collection (Open Access)

Chapter 1. The impact of ESG disasters on Green and Brown firms

I investigate the effect of a firm’s prior ESG reputation on the market impact of ESG incidents. I find that firms with a better ESG reputation, i.e., higher ESG ratings, experience less negative stock-market reactions and analysts' forecast revisions compared to firms with a poorer ESG reputation. But managers of Greener firms, when producing earnings guidance, do not forecast a lower impact of these incidents on future earnings. Similarly, actual decreases in future earnings following these incidents are not significantly different between Green and Brown firms. Altogether, the …

The Downstream Impact Of Upstream Tariffs: Evidence From Investment Decisions In Supply Chains, Thorsten Martin, Clemens A. Otto

Research Collection Lee Kong Chian School Of Business

We study how US manufacturing firms' investment responds to tariff reductions in supplier industries. Our estimates, based on tariff reductions following multinational trade agreements, suggest that a hypothetical 10% reduction of all upstream tariffs would increase downstream investment by 4% to 6%. This estimate is not explained by decreasing uncertainty and stems from tariff reductions for homogeneous and low-R\&D inputs, consistent with the investment response resulting from cost reductions rather than superior foreign technology embodied in imported inputs. Evidence from an instrumental variable estimation using the sudden increase in Chinese import penetration suggests that import competition also increases downstream investment.

Financing Just Energy Transitions In Southeast Asia: Application Of The Just Transition Transaction To Indonesia, Vietnam, And Philippines, Abhinav Jindal, Gireesh Shrimali, Bharat Gangwani, Rajiv B. Lall

Sim Kee Boon Institute for Financial Economics

This paper investigates the applicability of the Just Transition Transaction (JTT), initially developed as a financial mechanism for South Africa's energy transition, to Southeast Asian (SEA) countries, including Indonesia, Vietnam, and the Philippines, which heavily rely on coal. Utilizing South Africa as a reference case study, we deconstruct the JTT and develop a novel framework of necessary and conducive features for evaluating its suitability for supporting a just energy transition in SEA. Our findings suggest that the JTT is well-suited for Indonesia and Vietnam but not as well suited for the Philippines. Recommendations for specific research avenues in estimating baselines …

Buy Now Pay (Pain?) Later, Ed Dehaan, Jungbae Kim, Ben Lourie, Chenqi Zhu

Research Collection School Of Accountancy

“Buy-now-pay-later” (BNPL) is a relatively unregulated FinTech innovation that provides consumers with easy access to credit for retail purchases. BNPL spending is projected to reach $1 trillion by 2025, but we know little about its effects. Using banking data for10.6 million U.S. consumers, we investigate the effects of BNPL on leading indicators of users’ financial health. We find that new BNPL users experience rapid increases in bank overdraft charges and credit card interest and fees compared with nonusers, consistent with BNPL facilitating overborrowing. An instrumental variable exploiting consumers’ pre-BNPL shopping habits bolsters our inferences. Our results inform regulatory investigations into …

Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li

Research Collection Lee Kong Chian School Of Business

Using establishment-level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography-linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross-firm return predictability and is not easily attributable to risk-based explanations. It is more pronounced for focal firms that receive lower investor attention, are more costly to arbitrage, and during high sentiment periods. The cross-firm information spillovers and return predictability are also stronger for geographic peers with economic linkages and with positive information. Our results are broadly consistent with …

The Fourth International Workshop On Smart Data For Blockchain And Distributed Ledger (Sdbd '24), Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang

Research Collection School Of Computing and Information Systems

With the advent of Bitcoin, a cryptographically-enabled peer-to-peer digital payment system, blockchain together with a whole package of distributed ledger technologies, which serve as the underlying foundation of all the crypto-currencies, have been gaining attention from both academia and industry in the last fifteen years. The recent years have witnessed tremendous momentum in the development of blockchain and distributed ledger technologies, largely due to the impressive rise in the market capital of these digital tokens. More and more industries, from banking and insurance, to supply chain and e-commerce, are quickly realizing the great potential in blockchain technology in efficiency boost, …

How Can Cbdcs Be Designed To Drive Financial Inclusion?, Heng Wang

Research Collection Yong Pung How School Of Law

As a new form of national currency, central bank digital currencies (CBDCs) hold the potential to be a transformative innovation that can enhance financial inclusion. However, the realization of this potential is very much contingent on their design. The realization of the benefit is also influenced by the barriers to financial inclusion that were identified in our first blog such as financial literacy, digital divide, and complexity.