Management Sciences and Quantitative Methods Commons^™

The Impact Of Central Bank Digital Currencies News On Bank Stability: Evidence From Asean-5 Countries, Firman Hidayat, Raditya Sukmana, Masrizal Masrizal, Rahmat Heru Setianto

Bulletin of Monetary Economics and Banking

This study constructs an index reflecting Central Bank Digital Currency (CBDC) news coverage and evaluates its impact on bank stability. The CBDC Attention Index (CBDCAI) is formulated based on more than 533 Reuters Digital News Report articles from 2019 to 2023. Employing the System Generalized Method of Moments (GMM) approach with data from 92 banks across ASEAN-5 nations, and implementing quantile regression for robustness checks, the findings demonstrate a significant relationship between the CBDCAI and bank stability, alongside variables such as bank size and capitalization. These results offer valuable guidance for central banks, especially within the ASEAN-5 region, as they …

Ceo Compensation Changes Following Acquisitions, Leonce Bargeron, David J. Denis

Finance and Quantitative Methods Faculty Publications

We find that CEO compensation increases following acquisitions only in those deals in which acquirer stock is used as the method of payment. These compensation increases are driven by increases in equity-based compensation and are concentrated in riskier acquirers, in riskier acquisitions, and in acquirers whose CEOs have low exposure to the stock price. We find little support for traditional agency cost explanations of changes in CEO pay following acquisitions. However, our findings are broadly consistent with compensation changes representing a contracting solution to a two-sided adverse selection problem that is present only in stock acquisitions.

From Static Λ To Moving Penalties: Dynamic Regularization In Mean-Variance Portfolio Choice, Ariel Santiago

CMC Senior Theses

This thesis evaluates whether dynamically tuned weight penalties can improve high-dimensional mean-variance portfolio choice. Classical Markowitz portfolios perform poorly when the number of assets is large relative to the data, because small estimation errors in means and covariances can generate extreme, fragile allocations. A common remedy is to regularize the weights using L1 (lasso), L2 (ridge), or elastic-net penalties, but these are typically chosen once and held fixed. Using monthly excess returns on the 48 Fama-French industry portfolios from January 2010 to June 2025, this thesis compares penalized mean-variance and minimum-variance strategies under long-only and long-short constraints, with and without …

Entropic Foundation Of Finance And Physics: Securities Price Dynamics And Quantum Theory, Mohammad Abedi

Electronic Theses & Dissertations (2024 - present)

In many scientific and financial contexts, we must reason and make predictions under conditions of incomplete information. This dissertation develops Entropic Dynamics (ED) as a unified framework for deriving dynamical laws directly from principles of inference. Within this approach, probability distributions represent states of knowledge, and their evolution is determined through entropy maximization subject to relevant constraints. This leads to a novel concept of entropic time and a formulation of dynamics as an inferential process. In this talk, I will present how ED provides a common foundation across multiple domains. In physics, quantum dynamics for particles and scalar fields in …

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …

Social Media Marketing And Business Performance Of Small And Medium Fashion Enterprises In Tanzania: The Moderating Role Of Social Media Strategic Capabilities, Pamela Kishimbo, Juma James Masele, Dev Jani

Business Management Review

This study examines the influence of social media marketing (SMM) on the business performance of small and medium fashion enterprises (SMFEs) in Tanzania, with social media strategic capabilities (SMSCs) as a moderating variable in this relationship. The study is grounded in the Uses and Gratification Theory (UGT) and Resource-Based View (RBV). The study used a cross-sectional survey design, collecting data from 397 SMFEs through structured questionnaires. Data were analysed using descriptive statistics and structural equation modelling (SEM). The findings revealed a significant positive relationship between SMM and the business performance of SMFEs in Tanzania. Furthermore, the findings show that SMSCs …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Research On Credit Card Transaction Risk Prediction Model Based On Multi-Source Data Fusion And Its Application, Ziang Qi

Harrisburg University Other Works

In this paper, the credit card risk control and early warning model is constructed to predict and control the credit card risk by fusing multi-source data through data mining technology. After analyzing the theoretical application of XGBoost algorithm on credit card transaction risk, its model parameters are optimized by particle swarm algorithm to construct PSO-XGBoost credit card transaction risk prediction model. The credit card transaction risk prediction performance of the PSO-XGBoost model is verified and applied to the abnormal transaction risk assessment of Bank A. The AUC value, accuracy, F1 value, precision rate, and recall rate of the PSO-XGBoost model …

Effects Of Financial Literacy Education Intervention On Loan Borrowing And Debt Management Of Undergraduate Students In The Southeastern U.S.: An Experimental Investigation, Clement Yeboah

Dissertations

This mixed methods experimental pretest-posttest between-groups effect study examined the causal effects of financial literacy education on loan borrowing and debt management behaviors of undergraduate students in the southeast of the United States. Loan borrowing and debt management behaviors of undergraduate students are understudied. Therefore, this study aimed to fill the gap in the literature about experimental investigations of financial education interventions for university students and provided evidence-based recommendations for improving financial literacy programs in higher education. The study is theoretically grounded on the lens of Behavioral Economics, Planned Behavior, and Social Cognitive. This explanatory sequential mixed method study employed …

Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros

Electronic Theses, Projects, and Dissertations

This study aims to investigate the impact of inflation on US household financial stability from 2013 to 2023. As inflation rises, individuals’ purchasing power erodes leading to influence economic behaviors. Behaviors such as spending, saving, and borrowing should be a priority concern in the US economy. Results of this study reveal that inflation does not affect financial well-being and its direct impact on household stability is statistically weak. Regression testing shows that income emerges as the most significant factor. Most noticeably income influences savings and debt management in a positive way. As per these results, economic policies should be focused …

Sustainability In Forex Trading: A Review In Search Of The Sarsa-Fis Hybrid Method As A Novelty, Joni Fat, Parwadi Moengin, Pudji Astuti, Sally Cahyati

Bulletin of Monetary Economics and Banking

This study employs meta-analysis, rich pictures, timeline analysis, and causal loop diagram to explore the sustainability impacts of the SARSA-FIS hybrid method in forex trading robots. It reviews 56 references (2018-2023), using rich pictures to map AI-driven interactions. Timeline analysis traces AI’s evolution in forex, while causal loop diagram clarifies its role in market dynamics. Responsible algorithms and SRI principles mitigate risks, promoting ethical trading. SARSA-FIS enhances strategies, leveraging AI for sustainable forex practices amidst global uncertainties. The research identifies gaps and positions SARSA-FIS as a novel approach, providing a foundation for advancing AI applications in finance, particularly in forex …

Uncertainty In Pricing And Risk Measurement Of Survivor Contracts, Kendrick Raymond So, Stephanie Claire Cruz, Elias Antonio Marcela, Jeric C. Briones, Len Patrick Dominic Garces

Mathematics Faculty Publications

As life expectancy increases, pension plans face growing longevity risk. Standardized longevity-linked securities such as survivor contracts allow pension plans to transfer this risk to capital markets. However, more consensus is needed on the appropriate mortality model and premium principle to price these contracts. This paper investigates the impact of the mortality model and premium principle choice on the pricing, risk measurement, and modeling of survivor contracts. We present a framework for evaluating risk measures associated with survivor contracts, specifically survivor forwards (S-forward) and survivor swaps (S-swaps). We analyze how the mortality model and premium principle assumptions affect pricing and …

Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski

Publications and Research

Low-lying deltas worldwide are extremely vulnerable to sea-level rise. As the risks of climate-induced flooding become increasingly clear, the thirst for infrastructure-driven adaptation increases. This highlights a patent need to understand the impacts of engineering adaptation solutions, especially those targeting built structures such as dykes and sluices, on farmers from a bottom-up, farmer-centred perspective. The study addresses this call by examining cases where dyke policies, while successful in some dimensions, have undermined small-scale farmer livelihoods in Ca Mau ― Vietnam’s southernmost rural province. It identifies areas in need of attention and adds empirical data related to this group of farmers. …

Betting Against All Betas: Do Fama-French-Carhart Factors Share The Beta Anomaly?, Kevin Jiang

CMC Senior Theses

Frazzini and Pedersen’s (2013) Betting Against Beta is an investment strategy that exploits a well-documented anomaly in the Capital Asset Pricing Model. This anomaly is called the beta anomaly, which states that the model overestimates the risk-adjusted returns of high-beta assets and underestimates the risk-adjusted returns of low-beta assets. According to the beta anomaly, betas and alphas should be negatively correlated. Frazzini and Pedersen prove that an investor is able to generate positive abnormal returns by holding a long position in low-beta assets and a short position in high-beta assets. They also show that their Betting Against Beta factor delivers …

Evaluating The Perceived Benefits Of Education In Revenue Cycle Management And The Impact On Medical Claims Reimbursement, Jessica L. Miller

Student Dissertations

Efficient Revenue Cycle Management (RCM) is essential for healthcare organizations to ensure timely and accurate reimbursement for medical claims. The research problem was the significant inadequacies in RCM process in medical billing that has resulted in financial burdens imposed on providers, patients, and the organizations that provide medical services. There are clearly identified educational gaps in RCM that contribute to claim denials, delays, and revenue loss, underscoring the need for robust training programs. The purpose of this study was to explore the perceived impact of education in RCM on medical claim reimbursement outcomes within the U.S. healthcare system. The study …

An Analysis Of Drivers Of The Federal Funds Rate, Stephen Johnson, Neha Dixit, Martin Selzer Ph.D.

SMU Data Science Review

The Federal Funds Rate (FFR) is a tool used by the Federal Reserve to set monetary policy on borrowing costs for consumers and businesses. The Fed’s primary motivation with the FFR is to control macroeconomic factors such as inflation and unemployment. Over time, policy stances for the Fed have varied in response to events such as the Great Recession, and more recently the COVID-19 pandemic. In light of the Fed’s actions following these events, there is intensified debate over which macroeconomic factors should be prioritized, and what magnitude of change is sufficient to warrant action. Additionally, when action is taken …

Advancing Sustainable Investing: A Deep Learning Model For Multi-Source Stock Prediction, Hongxuan Yu, Tingting Zhang, Murat Kizildag

Journal of Global Business Insights

The burgeoning role of the stock market within the national economy elevates the importance of precise stock price analysis and prediction, a field that has garnered substantial interest in academic research. Stock price fluctuations, influenced by many factors, including company fundamentals, market sentiment, capital flows, industry news, and macroeconomic policies, present a highly dynamic and complex challenge for predictive modeling. Addressing this challenge, our study introduces an innovative method that capitalizes on the synthesis of news text and stock price data for forecasting market movements. We employ GloVe embeddings to capture semantic nuances from news text and integrate them with …

Corporate Crisis Management: A Contemporary Best Practices Template, Vivek Narayan

Finance Undergraduate Honors Theses

This paper seeks to re-envision the crisis management framework used by organizations in their day-to-day activities. In the modern world, with exponential technological advancements, the social media age, and the 24/7 news cycle, crises have worsened in severity. Despite this, most literature on the subject is more than a decade old.

Incorporating past literature, this thesis demonstrates that society is in an “era of crises,” then defines and discusses the types and origins of these crises. It compares the topics of issues and crisis management before commentating on corporate and academic literature and ultimately previous 3-stage models for crisis management. …

Experimental Methods In Predicting Market Drift And Other Portfolio Optimization Factors Using Graph Theory, Perry Harrison Zhang

Computer Science Senior Theses

No abstract provided.

Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al.

Research Collection Lee Kong Chian School Of Business

Duplicate record, see https://ink.library.smu.edu.sg/lkcsb_research/7633/. In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty - nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by …

Nonstandard Errors, Albert J. Menkvelt, Anna Dreber, Et Al., Shihao Yu, Bart Zhou Yueshen, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.

The Effect Of Massage Therapy On Test Anxiety Experienced By Traditional-Aged Undergraduate Business Students, Jorge A. Pazmiño

Graduate Theses, Dissertations, and Capstones

Test anxiety impacts traditional-aged undergraduate business students and influences their academic performance and overall well-being. This study explored the efficacy of massage therapy (MT) as a means of mitigating test anxiety within this demographic. Building on existing literature that addresses the consequences of anxiety and alternative coping mechanisms, this research study focused on MT as a potential strategy for test anxiety management. The study employed the Adult Manifest Anxiety Scale–College Version (AMAS-C) to gather data from participants at a private liberal arts institution in the East South-Central region of the United States. An experimental group received an MT intervention, while …

Nike's Product Recommendation System And Incorporation Of Ai, Quinton Truman Lamers

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Management Of Operations In Projects Including Planning, Organization And Control From The Beginning To The End Of Implementation, Burim Isa Berisha Dr.Sc

International Journal of Business and Technology

The project usually arises as soon as the client’s need is identified, and goes through all the extensive phases and sub-phases to take its true form and put into operation. The project is divided into two main parts that include Planning and Implementation that are separate in these stages: definition, planning, organization, control, completion. Planning involves a detailed calculation of the project. This includes known facts, admissible facts and risk calculation. Activity model used by IKOMs Planning as a process involves the cost that accompanies it. The manager must strike the balance between cost and benefit. Project control uses data …

Project Planning And Control, Burim Isa Berisha Dr.Sc

International Journal of Business and Technology

Operations management is important because it relates to the creation of products and services on which we are all dependent. Operations management is also quite motivating; operations are the center of many changes that affect business - changes in customer preferences, changes in the supply chain caused by technologies based on the businesses where we work, where we want to work and so on.

Operations Management includes the role of operations management, the various characteristics of processes, management activities, the responsibilities of managers, and the timely evolution of Operations Management.

Operations Management is a constant change, fostering creativity which allows …

Management Of Small Enterprises And Family Businesses In The Republic Of Kosovo, Burim Isa Berisha Dr.Sc, Burim Berisha B.B

International Journal of Business and Technology

Small businesses represent the driving force of an economy. They are the key that enables the production and marketing of thousands of products and services thus becoming the basis for a sound economic development. Consequently, small businesses are of vital importance to the economy.

Small business is a generator of innovation and a source of new jobs. The trend shows that small businesses are the backbone of all developments and movements in the economic system.

The small business scope is present in almost every pore of social and economic life.

According to the Statistical Register for Businesses, there are 9,358 …

The Process Of Adapting Innovations In Banking Services By Businesses In Kosovo, Burim Isa Berisha Dr.Sc, Burim Berisha B.B

International Journal of Business and Technology

This dissertation addresses the importance of a business model from businesses in Kosovo, which is able to adapt innovations from the banking sector such as digital services, and through which become part of a global market where such developments occur step by step. very fast At the beginning of this paper will be given definitions related to the main concepts that are addressed such as business model, innovations in banking services - digitalization of services and the role and importance of linking a business model with banking services of the time. After the theoretical part, from which the main concepts …

The Process Of Adapting Innovations In Banking Services By Businesses In Kosovo, Burim Isa Berisha Dr.Sc, Burim Berisha B.B

International Journal of Business and Technology

This dissertation addresses the importance of a business model from businesses in Kosovo, which is able to adapt innovations from the banking sector such as digital services, and through which become part of a global market where such developments occur step by step. very fast At the beginning of this paper will be given definitions related to the main concepts that are addressed such as business model, innovations in banking services - digitalization of services and the role and importance of linking a business model with banking services of the time. After the theoretical part, from which the main concepts …

Behavioral Biases, Financial Literacy, And Investment Decision: A Case Of Individual Investors In Pakistan, Arslan Saleem, Muhammad Usman, Zahid Bashir

Business Review

This research dives into the interesting world of investment choices and analyses the influence that behavioural biases and financial literacy play in the process. The study uncovers the direct impact of behavioural biases such as anchoring, optimism bias, and loss aversion on investment decisions by using primary data from individual investors in the Lahore region. These individuals participated in the study. According to the findings of the study, having a solid understanding of finance can help mitigate the effects of cognitive biases and lessen the toll they take on investment choices. The study underscores the necessity for future research on …