Finance and Financial Management Commons^™

Bridging Economic Growth And Literacy: Mediation–Moderation Pathways Linking Agriculture, Environment, And Poverty Reduction Across Asian Economies, Muhammad Abubakar, Wasim Abbas Shaheen, Umair Umer

Business Review

In the framework of reducing poverty, this study explores the numerous connections between economic, environmental, and agricultural aspects, paying particular attention to the moderating role of literacy. The Study aims to assess how agricultural employment, arable land, forest area, fertilizer usage, and ecological resources shape poverty outcomes in Asia. Utilizing panel data from 46 nations between 2000 to 2023, sourced from the World Development Indicators, the analysis applies advanced econometrics such as FMOLS and DOLS, alongside a panel co-integration framework validated through panel unit root and cointegration tests. Results indicate that agricultural employment significantly reduces poverty, arable land has mixed …

Relationship Between Change In Unrealized Gains Or Losses Of Afs Securities And Credit Spreads Of U.S. Life Insurance Companies, Kwang Liang Yeo

Dissertations and Theses Collection (Open Access)

This study evaluates the transmission of unrealized fair value accounting losses to credit default risk within the United States life insurance sector during a period of unprecedented monetary tightening. Integrating a pre-specified confirmatory econometric framework with a text-based exploratory analysis of regulatory filings, we examine how changes in Other Comprehensive Income (OCI) and benchmark interest rate dynamics shape market perceptions of insurer default probability. Our findings reveal that credit default swap markets do not price OCI variations contemporaneously; instead, they reflect a structural one-quarter pricing lag that aligns with the regulatory timeline of financial disclosures. Furthermore, the relationship between interest …

Research On The Impact Of Industrial-Financial Cooperation On Corporate R&D Investment, Jiayin Yin

Dissertations and Theses Collection (Open Access)

The national industrial-financial cooperation pilot policy represents a key strategic initiative to implement China's strategy of building a "financial powerhouse" and guide financial resources toward empowering high-quality development in the real economy. In December 2016, four central government departments in China jointly announced the first batch of national industrial-financial cooperation pilot cities. Leveraging this quasi-natural experiment, this study comprehensively evaluates the impact of the pilot policy on corporate R&D investment activities using a sample of Chinese A-share listed companies from 2014 to 2019.

Research findings indicate: (1) The industrial-financial cooperation pilot policy significantly increases enterprises' R&D investment levels. Specifically, compared …

Budgeting Apps, Financial Literacy, And Financial Control, Max Masabo, Abdullah Mohammad Mahi

Presentations - 2026

Our paper shows the real hidden connections between budgeting app usage and financial wellbeing of U.S Households

Budgeting Apps, Financial Literacy And Financial Distress: Evidence From U.S. Households, Max Ngenzi Masabo

Posters - 2026

• First, it provides the first large-scale, nationally representative evidence on how budgeting app usage relates to household financial distress in the United States. Contrary to the intended purpose of these tools, we find that app users, especially frequent users, experience significantly higher levels of financial strain. • Second, we show that financial literacy is a critical moderating factor. The adverse association between budgeting apps and financial distress is substantially stronger among low-literacy individuals, highlighting financial literacy as an essential safeguard against harmful fintech outcomes. • Third, we identify behavioral mechanisms through which budgeting apps may exacerbate financial difficulties. App …

2026 Private Capital Markets Report, Craig R. Everett

Pepperdine Private Capital Markets Report

The Pepperdine private cost of capital survey was originally launched in 2007 and is the first comprehensive and simultaneous investigation of the major private capital market segments. This year’s survey specifically examined the behavior of senior lenders, asset‐based lenders, mezzanine funds, private equity groups, venture capital firms, angel investors, privately‐held businesses, investment bankers, business brokers, limited partners, and business appraisers. The Pepperdine survey investigated, for each private capital market segment, the important benchmarks that must be met in order to qualify for capital, how much capital is typically accessible, what the required returns are for extending capital in today’s economic …

Sustainable Finance: An Analysis Of Climate-Resilient Infrastructure Investments, Ngan Trat

Honors Theses

Changes in climate conditions are reshaping our environments and impacting ecosystems. A product of these changes is worsening climate events, and for Mississippi, that means increasingly frequent, high-intensity storms and floods. Its immediate and residual effects can range from disruptive to destructive. Mississippi and its communities are highly vulnerable to the effects of intense natural disasters, and there is a discrepancy between the need for climate-resilient infrastructure investments and the state’s fiscal capabilities to finance the research and construction of such projects. This paper will evaluate existing cases of climate-resilient infrastructure in effect through a sustainable finance lens and identify …

Visual Pattern Mining With Similarity Metrics For Model-Free Trading In The Korean Futures Market, Juhyeon Jang, Jaeyun Kim, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

The fractal market hypothesis highlights multi-scale dynamics in financial time series and provides a theoretical foundation for pattern-based analysis. This study proposes a model-free visual pattern mining framework that transforms high-frequency market data into image representations to support intelligent decision-making. By converting 1-minute KOSPI200 futures data into candlestick chart and Bollinger band images, the method effectively captures structural patterns and volatility dynamics. The framework applies similarity metrics and Intersection over Union (IoU)-based visual comparison to identify historically similar patterns and generate intelligent trading signals without model training or complex parameter tuning. Experimental results demonstrate that combining visual features of candlestick …

The Cost Of Information: How Audit Billing Arrangements Affect Managers’ Information Disclosure, Nicole Bruno

Theses and Dissertations

This study examines how audit billing arrangements (ABAs) influence managers’ willingness to share private information with auditors, a key determinant of audit quality. Drawing on prospect theory, I predict that framing the ABA as either a fixed-fee or a reserve affects managers’ information disclosure decisions, particularly for scope- increasing information. In a 2 x 2 between-subjects experiment, I find an interaction of ABA type and information type. Managers are more willing to disclose scope-increasing information with a fixed-fee ABA than with a reserve ABA, but less willing to disclose scope-consistent information with a fixed-fee ABA than with a reserve ABA. …

Valuing Biodiversity Impact, Han Wei Koh

Dissertations and Theses Collection (Open Access)

Biodiversity loss has emerged as a systemic challenge with far-reaching implications for ecological stability, economic activity, and long-term financial resilience. Despite growing recognition of nature-related risks in finance, biodiversity remains far less developed than climate within investment analysis, particularly at the portfolio level. This dissertation addresses that gap by examining how biodiversity impacts can be measured, valued, and interpreted within an investment portfolio concentrated in resilient and essential sectors of the economy.

The study constructs a Global Essential Economic Systems Portfolio comprising 16 publicly traded companies operating across non-discretionary sectors, including agriculture, energy, materials, pharmaceuticals, utilities, infrastructure, telecommunications, and financial …

The Determinants And Consequences Of Green Credit In Commercial Banks: A Dual-Pillar Perspective Of Asset Quality And Esg, Jianmei Xia

Dissertations and Theses Collection (Open Access)

As China’s “dual carbon” strategy advances, green credit has increasinglybecome a crucial financial instrument driving the green transition of China’s industrial structure. From a dual perspective of asset quality and ESGperformance, this paper systematically examines the determinants andconsequences of green credit practices among commercial banks. Employing a multiple-method approach that combines comparative case study, in-depthinterview, and large-sample empirical analysis, this study aims to address twocore questions: First, what are the key factors driving commercial banks toprovide green credit, and what is the logic behind their differentiated decision- making? Second, how does green credit affect banks’ financial and non-financial performance? This …

A Study On The Capital Market Valuation Effects Of Corporate Ai Adoption: An Empirical Analysis Of Manufacturing Firms In China's A-Share Market, Libin Ma

Dissertations and Theses Collection (Open Access)

This dissertation examines whether and how corporate adoption of artificial intelligence (AI) affects capital market valuation in manufacturing firms. As AI is increasingly embedded in R&D design, production organization, supply chain coordination, and operational management, its value implications depend not only on whether firms adopt AI, but also on how AI is deployed within business processes. Existing research has mainly focused on productivity, innovation, labor substitution, and digital transformation, while the enterprise value consequences of differentiated AI application strategies remain insufficiently examined.

Using Chinese A-share listed manufacturing firms from 2015 to 2024 as the sample, this study identifies firm-level AI …

From Ancient Harmony To Modern Sustainability: Assessing The Coupling Of Taoist “Harmony Between Humanity And Nature” With Esg And Its Impact On Firm Innovation And Performance, Biyi Wang

Dissertations and Theses Collection (Open Access)

Against the backdrop of intensifying global ecological crises, the ESG evaluation system has become a core metric for corporate sustainable development worldwide. However, the Western-dominated ESG system lacks crucial cultural dimensions in its application within Chinese corporate practices. The ecological wisdom embedded in the Taoist concept of “Harmony between Humanity and Nature” offers a significant philosophical foundation for the ESG localization. Extant research has focused on the influence of Confucian culture on ESG, with insufficient exploration of the modern managerial value of “Harmony between Humanity and Nature”. A scientific coupling framework linking this concept with ESG indicators has yet to …

Macroprudential Easing Measures In The Context Of Contractionary Monetary Policy: The Case Of Brazil In 2014, Marcos Antonio Paliari, Marcos Roberto Vasconcelos

Journal of Banking and Financial Economics

This paper evaluates the effects of a macroprudential policy of regulatory easing implemented amidst a contractionary monetary policy in Brazil. The intervention, carried out by the Central Bank in the third quarter of 2014, relaxed reserve requirements on time deposits to stimulate bank credit for vehicle financing. Using a Difference-in-Differences approach with fixed effects by credit modality and month, the analysis is based on monthly disbursement data for consumer loans from 2011 to 2018. Twelve rolling monthly windows are used to capture the dynamic evolution of the policy’s effects. Results based on a synthetic control group indicate statistically significant and …

Customer-Centricity In The Financial Services Sector: A Preliminary Look, Rhea Ingram, Katie H. Whetstone

AMTP Proceedings 2026

Financial institutions are under scrutiny as they work to rebuild consumer trust following the financial crisis. One effective approach for these organizations is to adopt a customer-centric strategy. Research indicates that businesses with a strong focus on customer-centricity tend to earn, on average, 60% higher profits than their competitors (Deloitte, 2017). While genuinely customer-centric companies are relatively rare, many organizations are in the process of transforming into a customer-centric model. This paper offers a preliminary examination of the rhetoric used by financial institutions, suggesting some progress in their customer-centric approach.

Price Discovery On Decentralized Exchanges, Agostino Capponi, Ruizhe Jia, Shihao Yu

Research Collection Lee Kong Chian School Of Business

Decentralized exchanges (DEXs) allow traders to express their willingness to pay for quick execution through a public priority fee bidding mechanism. We provide evidence that high-fee DEX trades are more informative and contribute more to price discovery. Using address-level blockchain transaction data, we show that informed traders persistently bid higher fees to secure early execution, revealing a strong willingness to pay for execution priority. Further, analysis of Ethereum mempool data demonstrates that informed traders employ a “jump bidding” strategy, placing high initial bids to deter potential competitors.

Using The Four-Quadrant Model Of Think/Feel/Fast/ Slow To Understand The Decision-Making Of Self-Managed Superannuation Fund Trustees, Roger Colbeck, Steven D’Alessandro, John Minas

Research outputs 2022 to 2026

This research focuses on decision-making by trustees of self-managed superannuation funds (SMSFs) in Australia. Behavioral attributes are examined using the four-quadrant model (FQM) developed by Lovric et al. (2010), comprising the cognitive, affective, controlled, and automatic quadrants. The FQM integrates two closely related dual-process theories (DPT). Both the DPT framework and the FQM draw on foundational principles from the cognitive and behavioral sciences. The result of the mixed methods study uses the FQM to explain investment decision-making. The dataset was examined using cluster analysis to identify underlying group structures, followed by regression modelling to assess the relationships between key variables. …

Merger Waves In A Small Open Economy: Industry Shocks, Behavioral Variables, Mergers And Acquisitions In Singapore, Eng Sian Quek

USF Tampa Graduate Theses and Dissertations

As an open economy, Singapore has experienced substantial transformations in its mergers and acquisitions (M&A) market over the past several decades, alongside evolving regulatory frameworks designed to maintain its position as a competitive international hub for corporate restructuring. Over the 20 years from 1990 to 2009, Singapore was exposed to a series of major economic shocks, including financial crises, geopolitical conflicts, terrorism, sectoral downturns, oil price shocks, and public health epidemics, all of which were accompanied by pronounced fluctuations in interest rates and equity market conditions. Against this backdrop, this dissertation examines the determinants of M&A waves in Singapore by …

Teaching Children Money Management, Melanie Jewkes, Amanda Christensen, Andrea Schmutz, Vincenza Vicari-Bentley, Kelan Combe, Rochelle Allen, Lauren Olsen, Jenny Weller, Mckenzie Walsh

All Current Publications

Don't fret if, as a parent, you don't feel qualified to teach your children about money. Talking about money and choices made with money (for better or worse) is a great place to start. This publication covers what and how to teach children about money management skills, and gives every-day parents ideas to start the conversation.

Educating For Responsible Ai Governance - Building Interdisciplinary Frameworks For The Management Of Artificial Intelligence, Grace Eboh

Southwestern Business Administration Journal

As Artificial Intelligence (AI) becomes increasingly prevalent across industries, there is a critical need for educational programs that teach effective AI governance and management. This article examines how educational institutions can develop comprehensive curricula to prepare professionals for the complex challenges of overseeing AI systems responsibly. It analyzes current gaps in AI governance education, proposes frameworks for curriculum design, and identifies key competencies required for effective AI stewardship. The findings suggest that successful AI governance education must adopt an interdisciplinary approach that integrates technical literacy, policy understanding, ethical reasoning, and organizational management.

Utilizing The Financial Calculator For Graduated Annuities: Compound Rate, Discount Rate, Present Value, And Future Value, Su-Jane Chen

Southwestern Business Administration Journal

This paper lays out a comprehensive, systemic, and conceptual framework for applying a financial calculator to handle graduated (growing) annuities, a practically important topic that has not received its due attention in finance textbooks. It introduces an alternative to the conventional approach in transforming the growth rate and the interest rate into a single rate as I in the calculator. It then shows that both approaches give the same answer and demonstrates how they can be used interchangeably with the illustration of several numerical examples. In short, this article provides a thorough rationale and gives a clear presentation for the …

Converting The Social Security Trust Fund Into A Sovereign Wealth Fund: A Proposal To Secure The Future, Keanu Moore

Dartmouth College Master’s Theses

This thesis proposes the conversion of the Social Security Trust Fund into a sovereign wealth fund (SWF), paired with the phased creation of a mandatory retirement savings system for all working-age Americans. In response to forecasts projecting Trust Fund depletion by 2034, the proposed portfolio shift would diversify assets beyond U.S. Treasuries into global equities, real estate, alternatives, and fixed income, with the goal of enhancing long-term returns while remaining passively managed. While this reform would extend the Fund’s solvency, it is not, on its own, a permanent fix. To ensure structural sustainability beyond the exhaustion date, the thesis proposes …

Ai Is A Credibility Problem For Capital Markets, Liandong Zhang

Research Collection School Of Accountancy

In a commentary, SMU Dean of the School of Accountancy and Lee Kong Chian Professor of Accounting Zhang Liandong said that artificial intelligence (AI) is not mainly a labour problem for accountancy but also a credibility problem for capital markets. Prof Zhang noted that in an AI-rich economy, accountancy matters not just as a reporting function but also as part of the infrastructure that makes economic information reliable enough for others to act on. He added that the future of accountancy should not be framed too narrowly as a struggle for professional survival. Prof Zhang said that the bigger risk …

Epi Dataset, Nancy Tran

Finance Faculty Publications

EPI Dataset.

Antecedents And Consequences Of Cognitive And Affective Trust In Wealth Management: Impacts On Wealth Manager Selection And Asset Under Management (Aum) Growth, Ting Hsi Chen

Dissertations and Theses Collection (Open Access)

Trust is key to wealth management decision-making; there is little empirical clarity on the relationships between different dimensions of trust and client behavior at each stage of the relationship. Previous works differentiated Cognitive trust, based on perceived competence, and Affective trust, based on relational and emotional connections. Nevertheless, the mechanisms under which these trust dimensions act during the pre- and post-account-opening phases have not yet been thoroughly studied. This research addresses this gap by exploring the stage-dependent influence of Cognitive and Affective trust on the central behavioral outcomes in wealth management.

The approach is a quantitative research based on a …

Financial Leverage And Firm Performance: An Empirical Review And Analysis, Iqbal Md. M Islam

Journal of Global Business Insights

This paper examines the dual impact of financial leverage on corporate performance by analyzing empirical data across developed and developing nations, industries, and different periods. Leverage can enhance profitability through tax benefits and improved efficiency, but it also maximizes financial risk, making its effects highly context dependent. Theoretical frameworks such as the Trade-off Theory, Modigliani-Miller Theorem, Agency Theory, and Pecking Order Theory offer diverse perspectives on how debt influences firm outcomes. Empirical findings reveal mixed results; moderate leverage may lower capital costs and boost performance, whereas unnecessary debt can lead to financial distress. Disparities emerge between developed and developing economies. …

Nominal Prices, Retail Investor Participation, And Return Momentum, Jun Du, Dashan Huang, Yu-Jane Liu, Yushui Shi, Avanidhar Subrahmanyam, Huacheng Zhang

Research Collection Lee Kong Chian School Of Business

We employ an identification strategy for retail participation to explore the link between return momentum and investing clientele. This scheme relies on strictly enforced round-lot rules in China, which financially constrain retail investors from participating in stocks with high nominal prices. We find that there is strong momentum in high-priced stocks, but no momentum on aggregate. This result supports the idea that noise trades of retail investors mask momentum, while other, more sophisticated investors contribute to momentum. We validate this notion by showing that retail investors with small (large) portfolios are less (more) prone to participating in stocks with high …

Deep Learning Approaches For Anti-Money Laundering On Mobile Transactions: Review, Framework, And Directions, Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by governments and organizations. The proliferation of mobile payment platforms and smart IoT devices has significantly complicated AML investigations. As payment networks become more interconnected, there is an increasing need for efficient real-time detection to process large volumes of transaction data on heterogeneous payment systems by different operators such as digital currencies, cryptocurrencies, and account-based payments. Most of these mobile payment networks are supported by connected devices, many of which are considered loT devices in the FinTech …

Interdependence And Portfolio Analysis Of Property Sector Real Estate Investment Trusts (Reits) In Malaysia During Covid-19, Muhammad Aqhari Azmi, Muhammad Zaim Razak

International Journal of Management, Finance and Accounting

This study examines the benefits of incorporating Malaysian Real Estate Investment Trusts (REITs) into a mixed-asset portfolio, with a focus on the periods preceding, during, and following the COVID-19 pandemic. The study utilises daily data from 1 January, 2018 to 21 October 2024, sourced from the Datastream database. By utilising the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model, the study examines the volatility of office property REITs and retail property REITs, as well as the linkages between these assets and stocks and bonds. The findings reveal that REITs exhibit unique volatility structures and correlations with other financial assets, which …

Cultivating Responsible Artificial Intelligence Practices In Malaysian Higher Education, Sharfika Raime, Norsafriman Abd. Rahman, Raemah Abdullah Hashim, Mohd. Farid Shamsudin

International Journal of Management, Finance and Accounting

The integration of Artificial Intelligence (AI) in higher education presents both opportunities and ethical challenges. In Malaysia, private universities are adopting AI at a pace that often outshines the development of governance frameworks, raising concerns over transparency, data privacy, and ethical literacy. This research examines the influence of three predictors (AI Transparency, Data Privacy Awareness, and Ethical AI Literacy) on the ethical use of AI among 221 academicians. Guided by Deontological Ethical Theory and employing a quantitative correlational design, the analysis revealed strong and significant relationships among all variables. Data Privacy Awareness emerged as the most consistent and positive predictor …