Finance and Financial Management Commons^™

Commuting Patterns And Use Of Bus, Cycling, And Walking In Small And Medium-Sized U.S. Cities: An Analysis Of Demographic Influences, Bun Song Lee, Alejandro Pacheco, Dalton Oxford, Troy Rodriguez

Finance Faculty Publications and Presentations

Using 2015-2019 American Community Survey block-group data, we study commuting by bus, cycling, and walking in small and medium-sized U.S. cities, where auto-centric urban form raises equity concerns. We center the analysis on supply as well as demand by asking whether service is present where vulnerable residents live. Three results stand out. First, scarcity is pervasive: more than 70 percent of block groups report no bus commuters, indicating widespread transit deserts. Lack of a household vehicle strongly predicts non-automobile commuting and is tightly correlated with the share of very low-income households. Second, relationships vary with network coverage. In both the …

Local-Thinking Bias, Ed Dehaan, Charles M. C. Lee, Wei Ting Loh

Research Collection School Of Accountancy

Local-thinking bias, wherein agents overweight information that comes readily to mind, is a prominent finding in cognitive psychology. In this study, we investigate local-thinking bias in the context of sell-side analysts and measure each analyst’s “local” information as news stemming from their individual coverage portfolio. Tests examining multiple analysts forecasting on the same focal firm at the same time find that individual analysts overweight idiosyncratic local news and underweight news from economically linked firms that are not in their coverage portfolios. Market prices track the analyst bias from local news, leading to predictable and economically significant return reversal patterns in …

Responsible Investing For A Sustainable Future, Eric Pedersen

Asian Management Insights

Investors should bear in mind that climate risks eventually translate into financial risks. An interview with Eric Pedersen, Head of Responsible Investments at Nordea Asset Management. Investors should bear in mind that climate risks eventually translate into financial risks.

Unlocking Private Equity Investing, Yin Wang, Steve Balaban

Asian Management Insights

Myths and market shifts to take note of.

Hard Lessons, Stronger Banks, Gloria Yang Yu

Asian Management Insights

The enduring wisdom of the Savings and Loan crisis veterans.

Global Standards And Local Ambitions Across Green Taxonomies: Climate Change Mitigation From The European Union To South Africa, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Ifigeneia Paliampelou, Anh Vu, Dariusz Wojcik

Research Collection College of Integrative Studies

Country-level green finance taxonomy standards have emerged to provide clarity on environmentally-sustainable economic activities to attract investment, protect financial services consumers, and counteract greenwashing. This paper adopts the Global Production and Financial Network (GPFN) approach and analyses factors affecting the climate change mitigation ambition level of the South African Green Finance Taxonomy (RSA GFT) in comparison with the EU taxonomy, which served as a model for South Africa's (RSA) regulators. It accounts for (i) the interplay between EU’s and RSA’s production and financial networks, and (ii) RSA’s willingness to attract European funding for sustainable development. We find that EU private …

Better Budgeting - Budget Mastermind Booklet, Melanie Jewkes, Amanda Christensen, Andrea Schmutz, Vincenza Vicari-Bentley, Kelan Combe, Rochelle Allen, Lauren Olsen, Mckenzie Walsh, Jenny Weller

All Current Publications

This booklet helps you reflect on your finances and improve budgeting decisions. It helps you explore your values and motivators, set financial goals, learn zero-based budgeting, and brainstorm ways to increase your income and reduce expenses. It also helps you learn principles for tracking expenses and increasing savings.

Trusting Ai In Finance: The Role Of Psychological Traits And Ai Literacy In Shaping User Behaviour Toward Robo-Advisors, Sukma Aini

The South East Asian Journal of Management

Research Aims: This study investigates the influence of psychological traits, risk tolerance, trust propensity, and AI literacy on trust in robo-advisors and subsequent financial behaviour within Indonesia’s expanding fintech landscape.

Design/Methodology/Approach: Data were collected through a survey of 235 Indonesian users with prior robo-advisor experience, and the hypotheses were tested using Partial Least Squares Structural Equation Modelling (PLS-SEM).

Research Findings: The results revealed that risk tolerance, trust propensity, and AI literacy significantly predicted financial behaviour, both directly and indirectly, through their positive effects on trust in AI. Trust emerged as a central mediating mechanism, particularly for trust propensity and AI …

Rightsizing Regulations To Foster Innovation And A Healthy Business Environment: Insights From Elite Executives, Brian Charles Mulligan, Nelson Granados

Engaged Management ReView

This study examines insights from business executives on how TRAILS—that is, taxes, regulations, assessments, interventions, litigation, and subsidies—influence entrepreneurial behavior and firm performance. Using an applied constructivist grounded theory design, we conducted 17 in-depth interviews to identify how top business executives view the effects of regulations on business performance. We adopt the premise that the right level and set of regulations lead to a healthier business environment. We find that right-sized TRAILS catalyze entrepreneurial dynamism, whereas wrong-sized TRAILS impose hidden opportunity costs, stifle innovation, and erode institutional trust. Crucially, the study reveals the vital role of the government as …

Acceptance Of Central Bank Digital Currency In Pakistan In A Modified Utaut2 Framework, Hassan Raza, Danish Siddiqui

Business Review

This study investigates the factors influencing consumer acceptance of Central Bank Digital Currency (CBDC) in Pakistan by extending the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. This study integrates Perceived Trust (T) as moderator and Shariah Compliance (SC) and Perceived Credibility (PC) as mediator to fit the model according to unique religious and socioeconomic context of Pakistan. After collecting data from 332 respondents were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The result of the study indicates that Use of CBDC is most affected by Performance Expectancy (PE), Effort Expectancy (EE) and Facilitating Conditions (FC). …

Monte Carlo Analysis For A Private Equity Transaction In Excel, Tom Arnold, Xia (Summer) Liu, Cassandra D. Marshall

Finance Faculty Publications

Monte Carlo Analysis for a Private Equity Transaction in Excel

This article demonstrates a Monte Carlo analysis in Excel for a private equity transaction. The approach provides a probability-based assessment of future outcomes (i.e., waterfall calculations), with key model inputs randomly sampled from defined probability distributions. With minimal VBA programming, numerous Monte Carlo trials are generated and recorded in a second worksheet. This output can then be analyzed to assess the riskiness of the transaction. Further, because the analysis is performed entirely in Excel, it is immediately accessible to the practitioner. It is also very “transparent” in its execution, unlike …

"What's A Computer?" Exploring Insurance Agents' Role In Small Business Cyber Insurance Transactions, Dalton A. Crabtree

USF Tampa Graduate Theses and Dissertations

This mixed-methods study examined how insurance agents' role identity impacts cyber insurance transactions, addressing gaps in professional practice and academic literature. Small businesses increasingly rely on cyber insurance for protection as cyber risk continues to evolve. The study employed sequential explanatory methodology with 25 interviews across three groups: insurance agents (n=15), corporate cyber insurance professionals (n=5), and small business owners (n=5). Thematic analysis using Katz and Khan's Role Episode Model informed development of the Cyber Insurance Role Identity Scale (CIRIS), tested with 100 agents. Six themes emerged. Key findings reveal that successful cyber insurance transactions require agents to transition from …

Does Idiosyncratic Volatility Follow A Random-Walk? Evidence From U.S. Stocks, Zihan Cao, Ossama Elhadary

Publications and Research

In asset pricing literature, idiosyncratic volatility (IVOL) measures the firm-specific risk that is not explained by broader market movements. In this study, I investigate whether the idiosyncratic volatility (IVOL) of individual stocks follows a random-walk. Using monthly residuals from the Fama-French three-factor model (Fama & French, 1993), I estimate IVOL for more than 11,000 U.S. stocks, and apply the Augmented Dickey-Fuller test (Said & Dickey, 1984) to determine whether IVOL behaves like a random-walk. While most stocks display random-walk behavior, the proportion varies across industries, with some sectors showing deviations from random-walk behavior. Stocks with different levels of average return …

When Does The Tick Size Help Or Harm Market Quality? Evidence From The Tick Size Pilot, Yashar H. Barardehi, Peter Dixon, Qiyu Liu, Ariel Lohr

Business Faculty Articles and Research

Tick sizes affect market quality through a tradeoff between pricing fidelity and undercutting. The U.S. Tick Size Pilot (TSP), which raised the minimum tick from 1¢ to 5¢, provides a natural experiment to study this tradeoff. We find that the TSP harmed liquidity for stocks with spreads below 10¢ but improved liquidity for stocks with spreads above 15¢. These opposing effects explain the mixed results across prior studies which pool together stocks with very different prevailing spreads. We recommend researchers using the TSP for causal inference should, at minimum, split samples at 10¢-spreads to account for these heterogeneous liquidity effects.

Regional Lending Market Structures And Cross-Class Social Capital’S Impact On Small Business Outcomes In The United States, Karl Guenther

Dissertations

This study examines whether regional lending market structures—specifically, the availability of capital from local credit unions—affects the success of small businesses in U.S. metropolitan areas. It investigates whether greater local credit union market share of lending capacity improves small business outcomes and whether this relationship is moderated by levels of economic connectedness, a form of cross-class social capital. The analysis further explores whether these moderating effects are especially pronounced for Black-owned small businesses. The study focuses on business outcomes in regions in 2021. Regression models are estimated using cross-sectional data from across 135, 301, and 375 metropolitan statistical areas based …

Fixed Income Fund Report, October 2025, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Equity Fund Monthly Report, October 2025, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Leveraging Machine Learning And Causal Inference For Loan Default Prediction, Luca Guida

Doctoral Dissertations and Master's Theses

This research explores a systematic application of machine learning techniques combined with causal inference to predict loan defaults in peer-to-peer lending. Accurately forecasting loan defaults is crucial for mitigating financial risk and optimizing lending strategies. This analysis is based on multiple datasets of loan applications spanning over a decade, containing detailed financial and credit information about borrowers. Beginning with extensive Exploratory Data Analysis (EDA) coupled with scaling strategies, the research identifies key trends in loan performance across a large number of factors, such as interest rates or borrower creditworthiness, and one objective is to determine from the many available predictors …

Reengineering Resilience: Bio-Resilience Bonds For Financing Microbial Infrastructure And Climate Equity, Reece Buckley

COP30

This policy proposal introduces Bio-Resilience Bonds (BRBs), a performance-based financial instrument designed to monetise microbial ecosystem services as measurable climate infrastructure. Microbial ecosystems are crucial for climate resilience, yet they are often overlooked in mainstream adaptation f inance frameworks. Their ability to regulate carbon and nitrogen cycles, reduce methane emissions and enhance soil and water stability (Delgado-Baquerizo et al., 2016) makes them essential assets for climate mitigation and adaptation. With global adaptation needs exceeding £2.7 trillion (UNEP, 2024), this oversight indicates a systemic failure to recognise biology as a form of infrastructure. BRBs transform microbial outputs into localised key performance …

Ppp Dataset, Susan Turner Haynes

Faculty Works

During the COVID-19 pandemic, 11.5 million U.S. businesses applied for relief from the federal government. Collectively, these entities received just under 800 billion dollars. It was one of the largest fiscal intervention policies directed at businesses in American history. Though substantial scholarly and public attention has gone toward investigating participant fraud, other participant behavior has been less examined. This includes the relatively small number of individuals and businesses (128,304) that chose to repay their forgivable government loans. This dataset is used to investigate this question, with variables testing hypotheses relating to altruism, patriotism, and self-interest. Results are analyzed in the …