Finance and Financial Management Commons^™

Competency Model For General Managers Of Chain Independent Clinical Laboratory (Icl) Subsidiaries, Haiyan Wen

Dissertations and Theses Collection (Open Access)

An independent clinical laboratory (ICL) is a medical institution that has received approval from health authorities, holds independent legal status, and specializes in medical testing or pathological diagnostics, assuming responsibility independently. It is also referred to as a third-party medical testing laboratory. During in-depth research on the enterprises, it was found that while the chain ICL industry is rapidly growing, the issues of uncertainty and difficulty in selecting subsidiary general managers have become a common concern and pain point among senior managers.

The study combines theoretical and data analysis to identify distinct and important competency characteristics of general managers of …

Vale Strategic Audit, Nikolas Mancio

Honors Program: Senior Projects (Public)

The Chinese government is critical in shaping the global mining and metals industry, specifically for companies like Vale S.A., the world’s largest iron ore and nickel producer. China’s dominance as the largest importer of iron ore significantly impacts commodity prices and demand, with its government exerting substantial influence through production quotas, infrastructure spending, and environmental regulations. Vale’s strategic position in the Chinese market is a cornerstone of its operations. It is supported by investments in distribution centers, blending facilities, and high-grade iron ore that align with China’s environmental goals. However, this reliance also makes Vale vulnerable to shifts in Chinese …

The Effect Of Private Placement On Investment Efficiency: Empirical Evidence From The New Refinancing Regulations, Zhiyong Han

Dissertations and Theses Collection (Open Access)

Compared with public offerings, private placements are more attractive to investors due to a lower threshold, a simpler procedure, and a higher success rate of issuance. These advantages make private placements the preferred choice for listed companies seeking to issue additional shares in many capital markets. With the increased prevalence of private placements as a refinancing method, how to effectively leverage raised funds and improve investment efficiency has emerged as a topic under discussion within the academic community. However, whether private placements can affect investment efficiency remains controversial. Moreover, previous studies lack systematic empirical evidence, and endogeneity issues hinder an …

Impact Of Project Simulation Shareholding Incentive On Team Performance: Research Based On The Construction Industry, Jian Zhou

Dissertations and Theses Collection (Open Access)

China's construction industry is vast and possesses a wide market; however, it faces challenges such as unclear stratification and low concentration levels. Construction enterprises face significant constraints in key areas such as financial strength, team stability, and technological advancement, while also bearing substantial costs related to supervision and accountability. The project simulation shareholding mode enhances employees' sense of belonging and responsibility through a collaborative approach characterized by joint management, shared risks, and shared benefits. This improves project execution efficiency and quality, ultimately strengthening the core competitiveness of the enterprise. In the construction industry, projects often involve substantial investments and long-term …

Manufacturing Enterprises' Gross Margins And Performance: A Study On The Moderating Effect Of Management Expenses And R&D Expenses, Jiuliu Zhang

Dissertations and Theses Collection (Open Access)

In the context of globalization, manufacturing enterprises are integral to national economies, with their financial stability closely related to increasingly fierce market competition. Among various financial metrics, gross margin stands out as a key indicator of product profitability, significantly impacting production decisions, cost control, and pricing strategies. Understanding the relationship between the gross margins of manufacturing enterprises and their performance is essential for optimizing their financial structures and enhancing their market competitiveness. The study aims to investigate the correlation between gross margin and enterprise performance by developing complex, scientifically sound models and utilizing big data analysis technology. Additionally, it examines …

Navigating Market Volatility: Risk And Return Insights From Indian Mutual Funds, Davinder K. Malhotra, Rahul Singh, L. Ramani

School of Business Faculty Papers

This study evaluates Indian mutual funds using a variety of criteria, demonstrating a historical tendency of lower monthly returns and volatility when compared to benchmark indexes. This positive risk profile implies that it will appeal to investors who want stability. Despite COVID-19-induced market volatility, mutual funds persistently outperform benchmark indices in terms of average return per unit of risk, highlighting their potential as a dependable investment option for stability seekers. Furthermore, Indian mutual funds routinely beat benchmark indexes in risk-adjusted terms. Despite having a positive alpha, it lacked statistical significance, indicating a possible reliance on market volatility rather than managerial …

The Impact Of Cash Holding Decisions On Firm Performance In The It Industry, Jaeseong Lim, Bong Keun Jeong

Accounting

This study examines the relationship between corporate cash holdings and firm performance within the IT industry, which is characterized by intense competition and rapid technological advancements. We propose an integrated framework that combines principal component analysis (PCA), machine learning (ML) algorithms, and Shapley additive explanation (SHAP) values to estimate and interpret model outcomes. Based on 21,051 corporate financial statement data items from 2004 and 2023, the empirical evidence supports an inverted U-shaped relationship between cash holdings and profitability, suggesting that holding either too little or too much cash is suboptimal. Among the tested models, the random forest demonstrates the highest …

Applying Deep Learning To Detect Abnormal Event Log Traces: A Non-Rule-Based Framework, Yunsen Wang, Tiffany Chiu, Miklos A. Vasarhelyi

Department of Accounting and Finance Faculty Scholarship and Creative Works

Process mining is an efficient method that can analyze the full population of transactions using the event log of business processes. Conventional rule-based process mining techniques can detect anomalies; however, it tends to trigger a large number of false alarms. To improve the efficiency of anomaly detection using process mining, this study adopts a deep learning-based classification approach to detect anomalies in the traces of event logs. This approach contributes to the literature by proposing a non-rule-based process mining technique based on deep learning. Results demonstrate that the proposed non-rule-based process mining method can help auditors focus on transactional anomalies.

Improved Estimation Of The Correlation Matrix Using Reinforcement Learning And Text-Based Networks, Cheng Lu, Papa Momar Ndiaye, Majeed Simaan

Department of Accounting and Finance Faculty Scholarship and Creative Works

We propose a data-driven methodology to shrink the correlation matrix and, hence, the covariance matrix using reinforcement learning (RL). Our approach does not impose any assumptions on the stock returns and can be applied to any covariance matrix target. It focuses on the special case of the global minimum variance portfolio and investigates the economic value of our methodology by utilizing text-based networks (Hoberg and Phillips, 2016). The portfolio selection problem, hence, boils down to determining the optimal shrinkage policy using RL. The empirical analysis utilizes a large universe of stocks covering more than 400 assets and 20 years as …

The Impact Of Instrumental Attribution In Ai-Enabled Monitoring On Counterproductive Work Behavior, Qiang Zhang

Dissertations and Theses Collection (Open Access)

AI-enabled monitoring tools are theoretically expected to suppress unethical employee behavior. However, in practice, employees may perceive such monitoring as being driven by leaders' instrumental motives, primarily focused on personal performance evaluation and self-interest. This perception can foster feelings of job insecurity and moral disengagement, ultimately leading to counterproductive work behavior (CWB), which includes unethical employee behavior and turnover. These outcomes may undermine the intended effectiveness of AI-enabled monitoring tools. This study aims to explore the impact of Instrumental Attribution in AIenabled Monitoring (IAAIM) on CWB, specifically focusing on unethical employee behavior and turnover, through both theoretical and empirical lenses. …

Research On The Influence Mechanism Of Value Co-Creation On Enterprise Performance: Empirical Evidence From China's Motorsport Culture Industry, Xiaodong Weng

Dissertations and Theses Collection (Open Access)

We are in an era of digital economy and enterprise change management. The application of digital technologies such as Artificial Intelligence (AI), Blockchain, Cloud Computing, and Big Data (collectively known as ABCD technologies) has increased the competition in the value chain and value network between customers and enterprises. Users can now intervene in product design, transaction, and feedback before, during, and after the process, breaking through the limitations of time and space. They leverage their low-cost advantage to draw attention, shifting from a traditional, unidirectional supply logic to a value co-creation logic. This influences both enterprises and customers to produce …

Stock Liquidity And Value Relevance Of Earnings : Evidence From A Natural Experiment, Joseph Maxwell Asamoah

Lingnan Theses (MPhil & PhD)

This thesis explores the effect of stock liquidity on the value relevance of earnings, employing the Securities and Exchange Commission's 2016 Tick Size Pilot Program (TSP) as a natural experiment to investigate this relationship. This study leverages the exogenous shock to stock liquidity induced by the program to address endogeneity issues that have historically complicated the analysis of stock market dynamics. By examining the causal effects of increased liquidity on the market's response to earnings announcements, the research provides new insights into how liquidity impacts the usefulness and reliability of accounting information from the shareholders' perspective.

The findings indicate that …

Do Investors Value Firm's Application Of Cryptocurrency And Blockchain Technology?, Shensi Wang

Open Access Theses & Dissertations

This paper examines how investors view a firm's involvement with cryptocurrency or blockchain technology, measured by 10-K disclosures containing the related keywords. I find that investors negatively react to the information related to cryptocurrency or blockchain in the three-day window, but the negative trend is reversed after day four. Surprisingly, the topic analysis indicates that the market reacts positively to all topics related to cryptocurrency and blockchain, except for the "competition environment," suggesting that factors outside adopting cryptocurrency or blockchain affect the negative correlations observed before.

Buy Now Pay (Pain?) Later, Ed Dehaan, Jungbae Kim, Ben Lourie, Chenqi Zhu

Research Collection School Of Accountancy

“Buy-now-pay-later” (BNPL) is a relatively unregulated FinTech innovation that provides consumers with easy access to credit for retail purchases. BNPL spending is projected to reach $1 trillion by 2025, but we know little about its effects. Using banking data for10.6 million U.S. consumers, we investigate the effects of BNPL on leading indicators of users’ financial health. We find that new BNPL users experience rapid increases in bank overdraft charges and credit card interest and fees compared with nonusers, consistent with BNPL facilitating overborrowing. An instrumental variable exploiting consumers’ pre-BNPL shopping habits bolsters our inferences. Our results inform regulatory investigations into …

A Series Of Accounting Case Studies: Macy's Inc. And Other Notable Financial Events, Emelyn Darnell

Honors Theses

This thesis is a compilation of six case studies focusing on financial accounting and analysis of current events in the accounting world. These were completed under the direction and supervision of Dr. Victoria Dickinson through the Honors Accountancy 420 course. Four case studies included in this compilation are analyses of Macy’s Inc. through different accounting lenses. The case studies analyzing Macy’s Inc. were done in groups in the fall semester of 2022. Our group prepared an Operational Risk Assessment, analyzed Macy’s audit risk, and comprised possible solutions to decrease risk. We also discussed Macy’s current ESG and cybersecurity procedures and …

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DLSU Business & Economics Review

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DLSU Business & Economics Review

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Accounting For The Eu Green Taxonomy: Exploring Its Concept, Data And Analytics, Lucia Alessi, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Giovanna Michelon

Research Collection College of Integrative Studies

The European Union's Green Taxonomy has been used by corporations to account for and disclose hundreds of billions of Euros in capital expenditures. The aim of the taxonomy is to set a common and clear definition about which economic activities are most needed for the transition to a low-carbon economy, in line with the objectives of the European Green Deal. It is essential that academic research explores (a) to what extent the taxonomy is clearly understood, (b) if it impacts financial, environmental and societal outcomes, and (c) how it can be advanced. We review the nascent literature on this new …

Can Corporate Sustainability Performance (Csp) Overcome Indonesia's Corporate Debt Problems?, Johnson Ferry Febrian, Nora Sri Hendriyeni

Jurnal Akuntansi dan Keuangan Indonesia

Based on IMF publications (2022), Indonesian companies have a risky debt level that may cause bankruptcy, so companies are required to make leverage adjustments to return the debt to its optimal level. In recent years, corporate sustainability performance (CSP) practices have been proven to improve performance and overcome financial problems such as debt by integrating sustainability aspects into business processes. Based on stakeholder theory and trade-off theory, this study aims to examine the effect of CSP on leverage adjustment and the role of competitive advantage, equity mispricing, profitability, and firm size in moderating this relationship. This study used a sample …

Do Fundamental Financial Ratios Affect The Company's Stock Price? Indonesia Evidence, Arumega Zarefar, Armadani Armadani

Jurnal Akuntansi dan Keuangan Indonesia

The objectives of this research aims to examine the effect of corporate fundamental financial ratios on stock prices and to examine whether firm age determine stock prices in the perspective of signaling theory. Here Generalized Least Squares (GLS) approach was used as the main analysis technique, and Ordinary Least Squares (OLS) was incorporated for the robustness test. The research was conducted on companies listed on the Indonesia Stock Exchange during the 2014-2020 period. This study finds that return on assets, solvency ratio, and Tobin's Q positively affect stock prices, that cash ratio has a negative effect on stock prices, and …

Essays On Machine Learning And Corporate Disclosure, Zicheng (Leo) Xiao

USF Tampa Graduate Theses and Dissertations

This dissertation contains two essays that shed new light on the dynamic of information disclosure on the capital market. For both two essays I leverage computational linguistics and 20 million turns of dialogues from earnings conference calls from 2006-2022. In the first essay, I introduce a novel measure that quantifies the disparity in narrative focus between managers’ disclosures and analysts’ questions during these calls, denoted as Topic Attention Divergence (TAD). A higher level of TAD indicates a higher level of firm-investor asymmetry and lower information quality. My results confirm that higher TAD in earnings conference calls inversely (positively) predict firms’ …

Risk Analysis In Financial Statements, A Comparative Study Of Ai Vs Human Risk Assessment, Andre Denegri

University Honors Theses

This theses explores the transformative potential of artificial intelligence (AI) in the auditing industry, focusing on its implications for audit quality, efficiency, and the evolving role of human auditors. A comprehensive review of relevant literature highlights the integration of AI-driven tools such as machine learning, deep learning, and natural language processing in audit processes, emphasizing their capabilities in enhancing risk assessment, fraud detection, and data analytics.

The experimental design features an innovative approach to compare the efficacy of AI and human auditors in conducting risk analysis for three companies--Blockbuster, Enron, and Lehman Brothers--presented anonymously with pre-bankruptcy financial information. The findings …

Financial Assessment Of Executive Decision-Making And Risk Management: A Case Study Of Autozone, Carolina Hollis

Honors Theses

This area of investigation pertains to the business organizational structure, executive summary, and risk management decisions of AutoZone within the 2022-2023 fiscal year. This analysis was performed by examining previous financial records, the yearly 10-K report, and various research databases regarding the financial performance of retail auto part companies. Many different sources were used to gather information about AutoZone. AutoZone has an intricate financial system that maintains the going concern by addressing current issues within the financial world to combat problems they could face in the future. These risk factors include inflation, interest rates, energy prices, political climates, and supply …

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 …

Research On The Impact Of Tech Founders On Enterprise Innovation And Market Performance, Zhihao Xu

Dissertations and Theses Collection (Open Access)

In recent years, increased entrepreneurial projects have been spearheaded by scientists and technical experts. The likelihood of success for such entrepreneurship has garnered considerable attention.

Leveraging theories including upper echelons theory and attention-based view, this study develops an analytical framework, research hypotheses, and measurement models to examine the correlation between entrepreneurs’ technical backgrounds and enterprise performance. Use first-hand and second-hand data together constitute the core data sources. Utilizing a fixed effect regression analysis model, the study elucidates the correlation between the technical backgrounds of entrepreneurs and enterprise performance. Building upon empirical research, this study also selects entrepreneur cases of typical …

Research On Futures, Profit Hedging, And Enterprise Price Risk Management In The Bulk Commodity Industry Chain — A Case Study Of Hot-Rolled Coil Industry Chain, Shengxi Liu

Dissertations and Theses Collection (Open Access)

Traditional hedging strategies usually center around a single product, commonly involving companies hedging against the price of their endproducts or essential production materials. At present, traditional hedgingstrategies are no longer sufficient to address the production and management requirements of physical enterprises. There is a need to develop hedgingstrategies aligning with the significant changes in both domestic andinternational markets.

The thesis presents a new profit hedging model based on product manufacturing processes within the industry chain. This method involves hedging production profits by buying (selling) end products and selling(buying) raw materials according to the proportional relationships in the production process on …

Research On The Influence Mechanism Of Digitalization Degree On Manufacturing Enterprise Performance, Dandan Wang

Dissertations and Theses Collection (Open Access)

The application of digital technologies has changed the operation model of traditional industries, and promoted the development of emerging industries. More and more manufacturing enterprises have started or completed digital transformation, and tried new ways of development.

With the advancement of digitalization, the influence of the degree of digitalization on high-quality economic development has attracted great attention from scholars at home and abroad. Although significant resources are put into digital transformation, which is deemed as a strategic core, the specific influence paths of the degree of digitalization on enterprise performance have not yet been fully explored. In the digital era, …

Trade Agreements And Financial Market Integration In Latin America And The Us, Obed Fernando Izaguirre, Seungho Shin, Duygu Zirek

Department of Accounting and Finance Faculty Scholarship and Creative Works

The primary objective of this study is to examine the extent of financial integration between Latin American and US financial markets, particularly in light of recent efforts to foster integration through trade agreements. Spanning from 1 January 1990 to 31 December 2019, the sample focuses on major market indices and key sectors. Financial integration is quantified using a DCC multivariate GARCH model, incorporating a smooth transition model, structural breaks, and regression-based approaches. Results indicate increased comovement with the US for main market indices in Argentina, Chile, Colombia, Mexico, and Peru, while Brazil shows a decrease. Similar trends are observed in …

Analysts' Earnings Per Share Forecasts: The Effects Of Forecast Uncertainty And Forecast Precision On Investor Judgements, Clarence Goh

Research Collection School Of Accountancy

This study uses controlled experiments to investigate the joint effects of forecast uncertainty and forecast precision on investor judgements. It finds that forecast precision moderates the effects of forecast uncertainty on investors' forecast reliability judgements such that the effects of forecast uncertainty on investors' judgements of forecast reliability are more negative when an analyst's point earnings per share (EPS) forecast is rounded than when it is precise. In addition, the relationship between forecast precision and investors' judgements of forecast reliability is mediated by investors' perceptions of forecast attributes. The evidence also suggests that while forecast uncertainty exerts a negative effect …

Examining Sustainable Overseas Investment Information-Sharing Model For Automobile Enterprises: A Multi-Modal Weight Network Approach, Yuan Cheng, Xiaofang Chen, Changbo Lin, Sheqing Ma, Jie Feng

Research Collection School Of Accountancy

In an era of globalization, automotive companies are increasingly looking to make overseas investments to expand their production capacity and explore foreign markets. However, the outcomes of such investments are often influenced by a myriad of factors, including policy changes, social dynamics, and market conditions. To address the need for a comprehensive overseas investment information-sharing model, this research proposes an innovative approach based on a multi-modal weight network. This model aims to provide users with a global perspective on overseas investment opportunities, encompassing policy insights, and market dynamics. It integrates data from various sources, offering multi-dimensional information on investment regions, …