Finance and Financial Management Commons^™

A Sustainability Index For Airlines: A Kpi-Based Framework For Benchmarking Environmental Performance, Craig Dedrick

Discovery Day - Daytona Beach

The aviation industry faces increasing pressure to reduce its environmental impact, yet standardized methods for evaluating airline sustainability performance remain limited. This study proposes a structured sustainability index designed to benchmark airline environmental strategies using fourteen key performance indicators (KPIs) derived from publicly disclosed corporate sustainability and annual reports. To improve analytical clarity, the KPIs are organized into seven conceptual clusters capturing distinct dimensions of environmental performance: strategic governance and commitment, operational and fleet efficiency, the sustainable aviation fuel (SAF) ecosystem, emissions reduction and climate mitigation outcomes, carbon management and neutralization, energy transition and electrification, and environmental pollution and resource …

Ai-Driven Predictive Analysis Of Airline Profitability Under Macroeconomic And Sustainable Aviation Fuels, Shivika Singh

Discovery Day - Daytona Beach

This study presents an AI-enhanced predictive model to assess airline profitability under the combined influence of macroeconomic trends and the adoption of sustainable aviation fuel (SAF). By including economic indicators such as GDP growth, inflation rates, and fuel price volatility with airline operational data, including ticket prices and fuel costs, the model simulates profitability across multiple carriers. Scenario-based analyses, encompassing optimistic, moderate, and pessimistic projections, illustrate different financial sensitivities between low-cost and legacy airlines.

Credit Card Indebtedness During The Covid-19 Pandemic, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Beyond Bureaucracy: Entrepreneurial Mindset And Ai Readiness As Drivers Of Business Model Innovation In Blu Business Units — A Conceptual Framework, Ahmad Nurholis, Muhammad Rifky Adzakie

International Conference on Business and Management Research (ICBMR)

This paper advances a conceptual framework that examines how entrepreneurial mindset (EM) and AI readiness interact to shape business model innovation (BMI) and financial performance (FP) within Indonesia’s profit-oriented Public Service Agency (BLU) business units. As hybrid organizations, BLU business units must simultaneously fulfill their public service mandate while pursuing revenue generation, creating a unique context that demands stronger theoretical grounding. The framework draws on New Public Management (NPM) principles and the Dynamic Capabilities (DC) perspective to argue that an entrepreneurial mindset stimulates BMI both directly and indirectly through enhanced AI readiness. In turn, BMI is positioned as a driver …

Sharia Compliance And Stock Price Crash Risk: Evidence From Indonesia, Asty Khairi Inayah Syahwani, Arief Wibisono Lubis, Dwi Nastiti Danarsari

International Conference on Business and Management Research (ICBMR)

This study examines the impact of sharia compliance on stock price crash risk, controlling for company fundamental characteristics, among firms listed on the Indonesia Stock Exchange from 2021 to 2024. Panel data was analyzed using a dynamic panel model (System GMM) and crash risk is measured using NCSKEW and DUVOL. The results show that Sharia compliance significantly reduces stock price crash risk when measured using NCSKEW, while its effect on DUVOL is insignificant. This finding is consistent with the robustness check using the two-step System GMM, suggesting that Sharia principles can be a mitigating mechanism for extreme crash risk. These …

Fintech Innovation And Strategy In Islamic Financial Services In Indonesia: Mapping Trends And Correlations Through Digital Content Analysis, Faisal Binsar S.T., M.M.S.I, Dr., Muhammad Bayu Drs., M.M., Dr., Arif Budiman S.Kom, M.Kom, Lisa Puspitasari S.E., M.Si., Dr.

International Conference on Business and Management Research (ICBMR)

This study explores the impact of fintech innovations and strategies on the operational efficiency and service quality of Islamic financial services in Indonesia, emphasizing their alignment with Islamic financial principles. Using a descriptive quantitative methodology, the research employs digital content analysis of online reviews and social media discussions to uncover key themes. Advanced analytic techniques, including topic modeling with Gibbs Sampling for Dirichlet Multinomial Mixture (GSDMM) and cosine similarity for inter-topic correlation analysis, are applied to data sourced from various digital platforms. The findings reveal three dominant themes: media and community interaction, the performance and services of Islamic financial institutions, …

From Traits To Behavior: How Psychological Characteristics And Financial Socialization Affect Personal Financial Management Among Indonesia’S Young Professionals, Cening Cantya Amaranggana, Muthia Pramesti

International Conference on Business and Management Research (ICBMR)

This This study investigates the influence of psychological characteristics and financial socialization on personal financial management behavior (PFMB) among young professionals in Indonesia, with financial literacy as a mediating variable. The psychological characteristics include attitude toward money, financial self-efficacy, and financial risk tolerance. Financial socialization is measured through parental direct teaching and exposure to peers and media. Data were collected from 209 respondents using a structured online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4. The results show that all three psychological characteristics and both financial socialization variables significantly influence PFMB. Financial literacy mediates …

The Influence Of Esg Disclosures On Firm Value: Does Gender Diversity In The Leadership Matter Among Asean Countries?, Gaby Gabrella Tania, Mulyadi Noto Soetardjo

International Conference on Business and Management Research (ICBMR)

This purpose of this study is to analyze the effect of Environmental, Social, and Governance (ESG) Disclosures on Firm Value, with Gender Diversity in the Leadership as a moderating variable. The research sample consists of 140 non-financial companies listed in the stock exchange of ASEAN countries for the observation period of 2019-2023 (with total 700 firm-years), selected through purposive sampling method. This study uses a quantitative approach with moderated regression analysis. Firm Value is measured using Tobin's Q and PBV (Price to Book Value), while ESG Disclosures use ESG Scores obtained from the Bloomberg. The results showed that ESG disclosures …

Safe Haven Assets Analysis For Stock Indices Of Countries With The Highest Crypto Adoption Rate, William Smith Abdiel Sutanto Simaremare, Dzakwansyah Torana Riawan, Muhammad Ikhwan Fadillah, Agustini Hamid, Yudith Dyah Hapsari

International Conference on Business and Management Research (ICBMR)

This research investigated the effectiveness of gold, WTI, 5-year government bonds and Bitcoin as a safe haven asset. The analysis included 10 stock indices of countries with the highest crypto adoption rate. We applied quantile regression method processed to evaluate the relationship across different points of the return distribution. The findings revealed that 5-year government bonds show more negative correlation with the stock indices which imply that government bonds have better potential as safe haven assets compared to gold, WTI, and Bitcoin during the 2020-2024 period. This finding offered guidance for investors in these countries to construct the optimal portfolio …

Impact Of Uncertainty On Ipo Activity In Selected Emerging Countries From The Morgan Stanley Capital International Emerging Market Index (Mxef): A 5 Year Analysis (2018-2022), Maria Ulpah, Kayla Maylaf Munasit

International Conference on Business and Management Research (ICBMR)

This study examines the impact of economic uncertainty on IPO activity, both in terms of number and proceeds, across 22 emerging countries in the MSCI Emerging Market Index (MXEF) from 2018 to 2022, using 6720 “Live” IPOs and excluding Taiwan and Colombia. The main independent variable is the World Uncertainty Index (WUI), supported by macroeconomic (GDP growth, market cap to GDP, market turnover) and institutional quality (political stability, government effectiveness, regulatory quality, rule of law, and private sector credit) control variables, which were analyzed at the country level using panel regression. The World Uncertainty Index (WUI) negatively impacts IPO counts, …

How Rational Is Ai Investment Advice? Risk-Return Relevance In Artificial Intelligence (Ai) Investments, Oscar O. Gilbert, Tianxiang Chu

Create@State

Textbook finance theories indicate that investors demand risk premia from risky assets as compensation for risk and for hedging against future unfavorable economic states. We design a comprehensive study to examine whether investment advice generated by artificial intelligence (AI) reflects a coherent risk–return pattern in investment decision-making. We find that AI advises investors to increase stock investments when return increases and reduce stock allocations when stock volatility increases. However, AI ignores the hedging role of the stock market with consumption growth. A low risk aversion cannot explain this failure to respond to consumption-related risk. We further find that AI provides …

Older Adults And Emerging Technology Fraud In The Ai Deepfake Era, Thiago Neves

Research Days

Artificial intelligence has accelerated faster than society's ability to adapt, leaving older adults extremely vulnerable to AI-generated fraud. Americans over age 60 lost $4.9 billion to scams in 2024, 43% more than the previous year. In this research, I investigate how digital illiteracy, combined with AI-generated deepfakes, creates this crisis. Older adults struggle with three principal vulnerabilities: distinguishing legitimate sites from scams, judging whether online information is truthful, and understanding how algorithms use their data. AI weaponizes these gaps through voice clones, synthetic video calls, and personalized phishing emails that avoid the trust cues seniors tend to rely on. I …

Moneyup: A Predictive Financial Management System For College Students, Isaiah J. Adams, Malaya E. Wilburd, Dan V. Le, Joshua P. Golden

ATU Scholars Symposium

College students often lack accessible tools that combine real-time financial tracking, mobile accessibility, predictive analytics, and secure system design, leaving many without structured insight into their spending behavior. MoneyUP is a full-stack financial management platform developed to address these challenges through a secure, data-driven budgeting system deployed as both a web application and a cross-platform Flutter mobile application. The system integrates the Plaid API in its Sandbox environment to synchronize simulated banking data for secure testing without exposing live financial credentials. Transaction data is processed and stored using Supabase with a relational PostgreSQL database structured to enforce normalization, referential integrity, …

Operational Architecture Models As A Determinant And Framework Of Return On Equity Structure, Aydin Dibonaventura

Bryant REDay (Research and Engagement Day)

Lots of data attained within standard business practices may be seen as very significant but straightforward and many individuals fail to acknowledge the additional value that these data based strategies provide. Businesses may undergo different management structures, unique operational strategies, or complex supply chain systems from one another, but they all manage to attain ROE results within the same range at the end of each fiscal year. The Dupont financial analysis is a commonly used methodology that dissects the basic ROE value into profit margin, asset turnover, and financial leverage. These three values allow those to not only digest what …

How To Trade Memecoins, Antoine Testaud De Marchain

Student Scholar Symposium

This poster presentation aims to introduce high school and college students to the world of cryptocurrencies, with a focus on memecoins and how to trade them.

The poster will be divided into three key sections:

1: What are Cryptocurrencies?

-What is cryptocurrency, and how does it work?

-Centralized vs Decentralized exchanges.

-A little bit about the blockchain technology and its networks.

2: What are memecoins?

-Definition and unique characteristics of memecoins.

-Why memecoins have gained popularity.

-The role of social media and online communities in driving trends.

3: How to trade Memecoins (Core of the poster)

-Step-by-step guide to setting …

Expand Your Programs Through Collaboration, Bryan Brugger

Midwest Business Librarian Summit (MBLS)

It is possible to expand the reach of programming by collaborating with other libraries and community partners. Many business/finance/career development programs tend to pull small audiences. By working with other partners it is possible to offer more programs, typically virtual programs, with less effort for each library, and get a higher turnout at the same time. The Northbrook Library has engaged in 3 different partnerships since the pandemic began on a variety of topics and seen attendance reach numbers impossible for individual libraries to attain. This will look at these three partnerships and the results they have had.

Regression: Skill For Salary, Lani Berg

Undergraduate Research Conference

No abstract provided.

Debt Analysis And Evaluation, Anh Nguyen

Undergraduate Research Conference

Abstract: The household debt dynamics in the United States have been influenced by some socio-demographic factors. This study examines the socio-demographic factors by using a dataset of 15,000 households from the 2019 Survey of Consumer Finances. The research analyzes determinants including age, education, marital status, college level, race, kids, job, rent, knowledge, willingness to take financial risks, financial literacy, and the total value of a checking account.

The Ethics Of Ai In Wealth Management, Vivian Bivens, Kailey Fischer

Undergraduate Research Conference

This paper examines the ethical implications of AI in wealth management by analyzing regulations from international and national securities bodies and evaluating how firms implement AI responsibly. While current regulations are not perfect, they generally promote ethical AI use, and firms are actively working to reduce biases and enhance data security.

Robinhood Stock Pitch, Morgan Cole

Student Research Symposium

Investment Overview

Projected 2 Year Stock Price

$86.89

Current Stock Price (as of close 4/1/25)

$42.85

Projected Upside

103%

Indiana Bond Bank: Financing Road Infrastructure And Equipment, Marisa Weimer, Jacob Blasdel, Ron Mangus

Purdue Road School

Learn how the Indiana Bond Bank can support your community’s road projects through innovative financing solutions. This session will explore project and equipment financing options, fuel price protection strategies, and other resources designed to help municipalities fund road infrastructure improvements, maintenance, and expansions. Discover how to make the most of these financial tools to keep your community’s roads safe, reliable, and well-maintained.

Internationalization And Investment Efficiency, Alireza Askarzadeh, Kenneth Yung

Graduate Student Government Association Research Conference

Conflicting results in the literature regarding the effect of internationalization on firm performance motivate this study to examine this effect through an important but less studied channel. Unlike previous literature mainly focusing on the impact of internationalization on firm financial performance, this study examines operational performance and probes how internationalization affects firms’ investment inefficiency, thus demonstrating an important aspect in determining the success of international strategies. By applying the concepts of transaction cost economics and agency theory to a sample of US firms between 1989 and 2022, we find evidence that internationalization has a positive relationship with investment inefficiency and …

I To I (Insights Into Islamic) Financial Literacy Among Secondary School Students, Nur Syamilah Md Noor, Nor Hanim Elias, Mardziyah Mohd Isa Mohd Isa, Muhammad Abrar Bahaman, Razinda Tasnim Abdul Rahim

International Conference on Business and Management Research (ICBMR)

Financial literacy is a crucial life skill that enables individuals to manage resources responsibly and make informed economic decisions. In the context of secondary school students, early exposure to financial education provides a foundation for future financial stability and resilience. This study, Insights into Islamic (I to I) Financial Literacy Among Secondary School Students in Perlis, explores the level of awareness, understanding, and practice of financial literacy from an Islamic perspective. The research emphasizes core Islamic financial principles such as the balance between needs and wants, the significance of saving and investing through permissible means, and the prohibition of riba …

Political Stability As A Risk Factor In Global Markets, Noel Pavel Jeutang

Mountain Plains Business Conference

Using a unique and comprehensive measure of political stability, we evaluate the relationship between countries’ political stability and stock market performance around the world from 2000 to 2022. We find this risk factor is unique relative to other well-established risk factors across emerging and developed markets and that it is a priced risk factor in emerging countries.

Regression: A Deep Dive Into Truck Prices, Alura Lovell

Undergraduate Research Conference

This regression analysis examines variables affecting used truck pricing and offers insight into the automotive demand factors. This study dives into the process of determining the prices of Ford F150 Supercabs and comparable Chevrolet Silverados. The primary objective is to develop a model that looks at the pricing dynamics, considering factors such as age, mileage, accidents, and brand.

Testing Multiple Index Models To Predict The Returns Of Fixed Income Etfs, Ngoc Hoang

Undergraduate Research Conference

Objectives: Models of different complexities can explain asset return. This study: a) examines how variants of index models predict results in 6-month and 12-month periods out of sample b) examines how variants of index models whether their predictions are biased

Examining Volatility Spikes In The Financial Sector Etf, Ethan Johnston

Undergraduate Research Conference

I used the GARCH to detect if the financial sector ETF, XLF, exhibits return volatility spikes following Federal Reserve interest rate announcements.

2021 American Housing, Hana Roers, Toby Sherman

Undergraduate Research Conference

No abstract provided.

Development Of An Excel Tool For Retirement Planning, Avery Johnston

Undergraduate Research Conference

Preparing for retirement is a difficult and intimidating process that requires a great deal of planning and preparation. I developed a user-friendly Excel tool that illustrates the balance of a retirement account over time. The user can manipulate key variables by using the sliders. The tool performs all the calculations and displays the running balance in a graph.

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …