Finance and Financial Management Commons^™

Tracking The Donor Dollar: A Critical Examination Of Ngo Impact, Joshua Werth

Senior Honors Theses

Non-governmental organizations (NGOs) comprise the backbone of civilization. Whether intended or not, governments fail to improve social situations, financial standings, and spirituality comprehensively. NGOs attempt to cover these areas. From Angola to Zambia, countless NGOs exist around the world; however, many fail due to a misplaced focus internally on the annual donations received rather than externally on the disenfranchised. Additionally, even if NGOs manage to stay afloat, they will need help procuring funds and then distributing those resources with the most effective impact for the impoverished. The honors thesis proposed will attempt to determine more effective impact measurements for NGOs, …

An Investigation Into The Economic Useful Life Of Commercial Aircraft As Impacted By Maintenance And Economic Variables, Robert Gallagher

Doctoral Dissertations and Master's Theses

This research involved examining the economic useful life of commercial aircraft and the impact of maintenance and economic variables on the viability and longevity of the asset. The data sample consisted of the entire population of Boeing commercial aircraft produced between 1956 and 2021. The objective was to determine the effect of both maintenance and economic variables on the longevity and usefulness of commercial aircraft. As manufacturers work with issues such as service life, economic life, safety, and critical design features, those in the aviation community focus on the operational side of the equation––how long can one operate the asset, …

Liquidity Constraints, Consumption, And Debt Repayment: Evidence From Macroprudential Policy In Turkey, Sumit Agarwal, Muris Hadzic, Changcheng Song, Yildirim Yildiray

Research Collection Lee Kong Chian School Of Business

Using account-level credit card data from a large Turkish bank, we study the impact of a unique credit card policy that increases minimum payment on consumption and debt repayment. We show that the policy reduces credit card spending and debt, boosts existing debt repayment, and reduces credit card delinquency. The credit card debt of affected consumers falls on average by 50% two years into the policy’s implementation. An increase in minimum payment has a stronger effect than does a decrease of a similar magnitude. We build a benchmark life cycle model with soft liquidity constraint to explain the reduction in …

Code Will Tell: Visual Identification Of Ponzi Schemes On Ethereum, Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu

Research Collection School Of Computing and Information Systems

Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed and caused significant losses to investors. However, there are still no explainable and effective methods to help investors easily identify Ponzi schemes and validate whether a smart contract is actually a Ponzi scheme. To fill the research gap, we propose PonziLens, a novel visualization approach to help investors achieve early identification of Ponzi schemes by investigating the operation codes of smart contracts. Specifically, we conduct symbolic execution of opcode and extract the control flow …

The Dark Side Of Leadership: Mid-Level Managers And Their Experience With Hubristic Behaviors Of Executives, Leili Sadaghiani

Dissertations

Purpose: The purpose of the study is to identify the emotional reactions of mid-level managers to executives’ hubris behaviors in a corporate setting.

Methodology: This leadership study uses qualitative phenomenological methodology was executed to explore the lived experiences of mid-level managers with past executives who practiced hubristic behavior.

Findings: The findings of this research on the lived experiences of mid-level managers with hubristic behaviors of executives suggest that the lack of support lessens the mid-level manager’s confidence; with little support; the mid-level manager was either afraid to fight the executive or gave up trying; the mid-level manager faced stress even …

Fintech: How And Is It Being Taught In Academia?, Michael Thomas, Abby Milner

Graduate Research Showcase

Merriam Webster defines Fintech as “products and companies that employ newly developed digital and online technologies in the banking and financial services industries” (Merriam-Webster). Fintech, short for financial technology, is not new; however, it has become a hot topic as of recently. During the pandemic, Fintech and the many apps and programs that make up financial technology began to surge. Applications that made applying for loans and moving money easily between friends and businesses were of utmost importance during this time. Instant financial results and access are only continuing in demand. The days of going into a brick-and-mortar building and …

Indebted To My Education: Examining College Graduates’ Perceptions Of Student Loan Repayment, Vincent D. Carales, Mauricio Molina

Journal of Student Financial Aid

In this paper, we examine college graduates’ perceptions of entering student loan repayment and how they navigated this process. Findings highlight the importance of helping students make informed borrowing decisions, particularly as they begin repaying their student loan debt. Policy makers wishing to hold institutions accountable for keeping college affordable while enhancing financial aid policy will gain further insight.

Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba

SMU Data Science Review

Non-Fungible Tokens (NFTs) enable ownership and transfer of digital assets using blockchain technology. As a relatively new financial asset class, NFTs lack robust oversight and regulations. These conditions create an environment that is susceptible to fraudulent activity and market manipulation schemes. This study examines the buyer-seller network transactional data from some of the most popular NFT marketplaces (e.g., AtomicHub, OpenSea) to identify and predict fraudulent activity. To accomplish this goal multiple features such as price, volume, and network metrics were extracted from NFT transactional data. These were fed into a Multiple-Scale Convolutional Neural Network that predicts suspected fraudulent activity based …

Federal Project Management: Competitive Grants/Local Federal Aid, Paul Reed, Michael Hopper, Jeremy Bartell

Purdue Road School

Managing more money means having more money to lose. This session will help you identify when a project might lose its eligibility for federal funds. We also explain managing capital projects, including discussions on the new federal act (BIL), competitive grants, federal performance end dates, inactive project funds, and other important factors for managing the federal resources of your projects.

Do Industries' Political Profiles Affect Their Portfolio Return Performance?, Shaddy S. Douidar

USF Tampa Graduate Theses and Dissertations

The political profiles of an industry influence its performance due to its impact on industry-level investor sentiment and idiosyncratic risk. I form eight comprehensive political profile portfolios after double sorting on industry-level: (1) political geography proxied by political alignment, (2) corporate political strategies (CPS), proxied by donations to political action committees & lobbying expenditures, (3) and government interference, proxied by dependence on procurement contracts & federal regulations, and exhibit that an industries’ political profiles impact its returns. Industries with high political alignment, concentrated corporate political strategies, and low government interference, deemed the high-performance portfolio, earn an annualized alpha of 10.3428%, …

Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle

Sim Kee Boon Institute for Financial Economics

The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …

Steering Steadily In The Post-Pandemic World, Chartsiri Sophopanich, Chin Tiong Tan

Asian Management Insights

Chartsiri Sophonpanich, President of Bangkok Bank, speaks with Tan Chin Tiong about the future of banking in Thailand and the region as the world slowly emerges from the COVID-19 pandemic.

Rethinking The "Phillips Curve" In Nigeria: Assessing The Unemployment-Inflation Nexus In A Non-Linear Framework, Oba Efayema Obukohwo, Hilda Enoh Olele

Bullion

The need to boost economic growth through policies that will simultaneously enhance employment and price stability cannot be overemphasized for a developing economy like Nigeria. This study thus seeks to ascertain the nexus between unemployment and inflation in Nigeria utilizing unemployment, and other control variables between 1980 and 2020 within a nonlinear framework, the study invalidated the inverse relationship. The study thus proposed that government should formulate and implement policies that will stimulate growth through an unemployment-inflation decelerating trajectory.

If It Ain't Broke, Don't Fix It: Understanding The Value In Producing Film Adaptations And Movie Franchises, Courtney Mcdonald

University Honors Theses

The business of making movies is not an easy one; in an industry where very few see financial success, risk aversion often takes the wheel. In order to combat the immense amount of uncertainty, existing research has attempted to establish factors of film success, including actor star power and reviews. However, statistical studies evaluating these factors have produced consistently inconclusive results. To approach this idea from another perspective, this paper investigates two specific areas of film—movie adaptations and film franchises—that contain valuable properties not always as explicitly connected to box office results. While many movies are referenced, two film franchises …

Robowealth: Boosting Financial Inclusion In Thailand, Chiraphol N. Chiyachantana, David K. Ding, Pattarawan Mai Prasarnphanich, Chi Wei Chan

Asian Management Insights

Advanced fintech lowers barriers to investing.

Rate Effects In Aircraft Learning Curves, Caleb J. Ahern

Theses and Dissertations

Across the Department of Defense (DoD), a wide variety of analytical tools are employed by cost analysts to estimate weapon system costs. One of the techniques widely employed by practitioners is the learning curve (LC). Although learning curves have been widely studied, using rate-adjustments or production rate effects (PRE), their usage have only intermittently been evaluated in place of using the traditional learning curve. Previous studies analyzing production rate found mixed results. This research aims to examine aircraft production data to determine if production rate model is preferrable in United States Air Force programs. Additionally, this PRE research seeks to …

Effects Of Level Of Effort Measurement In The Application Of Earned Value Management, James M. Demos

Theses and Dissertations

Major Air Force contracts are subject to overview utilizing Earned Value Management (EVM). EVM is flexible in its application through the adherence of guidelines rather than strict rules. Due to this method, there is concern for potential abuse of application through overuse of Level of Effort (LOE) as a measurement technique. There are current recommended practices and rules of thumb that suggest LOE should be limited to 15% of a program’s budget with no quantitative research to support this claim. This study examines how LOE is currently employed in ACAT I Air Force programs and what LOE’s impact is on …

Exploring The Factors That Affecting Adoption Of Mobile Banking In Bangladesh, Md. Abdullah A. Mamun, Masud Rana, Md. Ashraful Islam, Md. Abdullah A. Mamun

Journal of Global Business Insights

This paper seeks to unearth the factors affecting the adoption of mobile banking in Bangladesh. Primary data from 630 respondents are collected from January 2021 to June 2021 using a structured questionnaire to accomplish this objective. The questionnaire contains 20 statements regarding the adoption of mobile banking. Gathered data are tabulated, categorized, and arranged to fulfill the purpose. The convenience sampling method is used to choose respondents from the Pabna district in Bangladesh. The collected data are examined using exploratory factor analysis, KMO and Bartlett testing, and reliability testing. Findings confirm that risk, the convenience of use, ease of access, …

The Effect Of Nondiagnostic Information On Internal Auditor Skepticism: Capturing The Dilution Effect, Joseph Anthony Giordano

Electronic Theses and Dissertations

Internal auditors assigned to assess internal controls over financial reporting incorporate irrelevant information into their judgment, showing decreased skepticism when irrelevant information contradicts preconceived stereotypes of management, known as the dilution effect and attributed to the representativeness heuristic. Irrelevant information consistent with preconceived stereotypes does not decrease skepticism. In this experiment practicing internal auditors are provided an irrelevant description of the Chief Information Officer portrayed as either gregarious or introverted then subsequently receive relevant internal controls information. When the Chief Information Officer is described as gregarious, counter to common stereotypes, internal auditors assess risk as less likely to occur compared …

Machine Learning Techniques For Stock Price Prediction And Graphic Signal Recognition, Junde Chen, Yuxin Wen, Y. A. Nanehkaran, M. D. Suzauddola, Weirong Chen, Defu Zhang

Engineering Faculty Articles and Research

Stock market analysis is extremely important for investors because knowing the future trend and grasping the changing characteristics of stock prices will decrease the risk of investing capital for profit. Thereupon, the prediction of stock prices and identifying the graphic signals of candlestick charts, which are two crucial tasks in stock price analysis, attract much attention from investors owing to the returns and risks that coexist in financial markets. To introduce a reliable approach for addressing these challenges, this paper proposes the modeling strategies based on machine learning (ML) techniques. A vector autoregression (VAR)-based rolling prediction model is proposed for …