Finance Commons^™

The Effect Of Tax Avoidance, Tax Rate Change, And Sustainability Disclosure On Earnings Management, I Putu Hendy Bimantara Dinata, Asqolani Asqolani

Economics and Finance in Indonesia

This study aims to analyze the effect of tax avoidance, changes in tax rates, and sustainability disclosures on earnings management. The sample in this study is public companies listed on the IDX for the period 2018–2021. The results of this study indicate that tax avoidance has no effect on earnings management. In addition, after the reduction in the corporate income tax rate, companies tend to conduct earnings management to reduce revenue. In the sustainability aspect, environmental sustainability disclosure has no effect on earnings management, while social sustainability disclosure has a positive effect on earnings management. The results of this study …

Subjective Beliefs About Contract Enforceability, J. J. Prescott, Evan Starr

Articles

This article assesses the content, role, and adaptability of subjective beliefs about contract enforceability in the context of postemployment covenants not to compete (noncompetes). We demonstrate that employees tend to believe that even clearly unenforceable noncompetes are enforceable, including their own. We provide evidence for both supply- and demand-side stories that explain employees’ persistently inaccurate beliefs. Moreover, we show that believing that unenforceable noncompetes are enforceable likely causes employees to forgo better job opportunities and to perceive that their employer is more likely to sue them if they choose to compete. Finally, we use an information experiment to inform employees …

Stock Market Volatility In The United Kingdom: Simulating Post-Covid-19 Recovery, Bala A. Dahiru, Mohammed Shuaibu, Najibullah Hassanov

CBN Journal of Applied Statistics (JAS)

This paper investigates the time it would take for the FTSE-100 index to reach its post-COVID-19 peak. The paper utilises an exponential generalised autoregressive conditional heteroscedasticity (EGARCH) model that accounts for leverage effect and asymmetries. The preferred models amongst competing variants was the Autoregressive Moving Average (ARMA)-EGARCH(2,1) specification and was used to predict daily FTSE-100 data from 5th January 2000 to 21st June 2024. The empirical exercise showed that the COVID-19-induced financial crisis negatively affected the United Kingdom’s stock market performance. The results show that the FTSE100 index could reach its post-pandemic peak around 27th August, 2024 (two months after …

Does Generative Ai Facilitate Investor Trading? Evidence From Chatgpt Outages, Qiang Cheng, Pengkai Lin, Yue Zhao

Research Collection School Of Accountancy

In this paper, we use ChatGPT outages to investigate whether investors rely on generative artificial intelligence (GAI) to perform trading-related tasks and the associated impact on stock price informativeness. We first document a significant decline in stock trading volume during ChatGPT outages and find that the effect is stronger for firms with corporate news released immediately before or during the outages. We further document similar declines in the short-run price impact, return variance, and bid-ask spreads, consistent with a reduction in informed trading during the outage periods. Lastly, we use trading volume changes during outages to construct a firm-level measure …

Financial Time Series Fusion, Completion, And Prediction With Deep Neural Networks, Dan Zhou

Dissertations

Time-series analysis is essential for a wide range of financial applications, including but not limited to bond valuation, firm earnings forecasts, firm fundamentals predictions, and firm characteristics imputations. Given its considerable value, the financial community has shown a strong interest in refining and advancing time-series analysis techniques. The study in this dissertation contributes to this field by employing advanced machine learning approaches, specifically graph neural networks, deep neural networks, and matrix/tensor methods. The primary objectives are twofold: first, to reveal complex correlations within financial time series to improve prediction accuracy, and second, to enhance the process of integrating and imputing …

Capital Flow And Bank Lending Channels In A Small Open Economy: Evidence From Indonesia, Advis Budiman, Solikin M. Juhro, Sugiharso Safuan

Bulletin of Monetary Economics and Banking

This paper investigates the implication of macro-financial linkages to explain the interaction of the financial and business cycles as the primary contributor to understanding the fluctuations in the Indonesian economy. It attempts to capture the interaction of the global financial and domestic business cycles through portfolio flow by incorporating investor behavior through a preference for domestic asset classes. Furthermore, due to information asymmetries between lenders and borrowers, we include the monitoring cost to explain the transaction cost in the credit market as a factor that drives macroeconomic fluctuations. Our findings demonstrate how financial imperfections can amplify the impact of global …

Trade Uncertainty And Bank Credit Growth: Evidence From China And The European Union Countries, Nazrul Hazizi Noordin, Mohamed Eskandar Shah Mohd. Rasid

Bulletin of Monetary Economics and Banking

This paper examines the relationship between trade uncertainty and bank lending using a sample of commercial banks in China and the European Union (EU) countries. Using a sample of commercial banks in China and the European Union (EU) countries during the period of heightened trade uncertainty from 2017Q1 to 2021Q3 measured by Ahir et al.’s (2018) World Trade Uncertainty (WTU) index, we show that trade uncertainty slows bank credit growth. We find no significant difference in the lending response to trade uncertainty between Chinese and EU banks. Our additional analyses indicate that the credit-reducing effect of trade uncertainty is stronger …

Digital Currencies And Macroeconomic Performance: A Global Perspective, Tirimisiyu F. Oloko, Ahamuefula E. Ogbonna, Idris A. Adediran

Bulletin of Monetary Economics and Banking

In this study, we explore the IS-LM-BP framework in analysing the effect of digital currencies on macroeconomic performance from a global perspective. We augment the global macroeconomic dataset by Mohaddes and Raissi (2020) with digital currencies, and analyse the relationship between 2010Q1 and 2019Q4. Overall, we find digital currencies to have significantly positive short-run and no long-run impact on global output, inflation rate, interest rate, and equity stock return. Our results suggest that digital currencies have enhanced global macroeconomic performance, on average. Thus, we recommend that appropriate regulations, rather than an outright ban on digital currencies, should be implemented.

3rd Sbs International Conference 2025: Innovation And Disruption: Business Success Through Ai, School Of Business Studies (Sbs)

Conference Proceedings

From the time that Clayton Christensen (1997) highlighted the concept of disruption due to innovation, and its impact on businesses and economies, practitioners and researchers have diverted their attention to the evil it casts and the opportunities it presents. Innovations and improvements in technologies have more often than not resulted in disruption of business models prevalent at that time. The three industrial revolutions have marked definitive shifts in performance and perspectives, and now the world awaits the outcome of the industrial revolution 4.0. Disruptions do not come only from revolutions. This is evident from the very recent incidence of the …

Role Of Transformational Leadership Model In Decisions Making: A Single Case Study Of The Ministry Of Economy And Finance Of The Republic Of Benin., Theodore Mennas Hinnoutondji Yetongnon

Walden Dissertations and Doctoral Studies

Numerous African countries are facing challenges in their socio-economic development due to ineffective leadership. Implementing appropriate leadership styles may help to improve living standards and prevent development delays. To understand the specificities and role of the Transformational Leadership Model (TLM) in the financial decision-making process of the current leaders of the Republic of Benin, a qualitative exploratory single case study was conducted based on the transformational leadership theory. The study involved nine experienced financial leaders and managers who have implemented the TLM in the Ministry of Economy and Finance of the Republic of Benin for at least 5 years from …

An Anthropologist Goes Offshore, Or, Creating An Actor-Network Among Finance Elites, Samuel Weeks, Ma, Phd

College of Humanities and Sciences Faculty Papers

This article discusses the methodological implications of a recent study on Luxembourg’s offshore financial center. Insight from actor-network theory was essential in undertaking its ethnographic research with elites from the country’s state and financial institutions. My intention in documenting this approach is to provide a template for ethnographers studying other localized contexts of global politico-economic significance, in which elite actors usually seek to curtail the enquiries of investigators. With this actor-network from Luxembourg as an example, I demonstrate how elite and difficult-to-access milieus can be entered via “networking” coupled with outreach via interviews and email correspondence. As I show, by …

Strategic Behavior, Artistic Integrity, And Tradeoffs In Popular Music, Andrew Weinbach, Phillip Kamau Njoroge, Robert Salvino, Arch Woodside

Finance and Economics

This study examines market concentration's influence on popular music. The data cover popular music from weekly Billboard Hot 100 songs from 1952 to 1989, for which song characteristic data including tempo and duration is available from the Million Song Dataset (MSD). Greater market concentration of the top four artists is found to impact song length, with longer #1 songs and shorter songs in the #2 through #10 spots on the Billboard charts. However, tests for alterations in song construction by top artists that might indicate a form of “sell-out” behavior do not reveal evidence of it.

This article was published …

U.S. International Climate Finance: An Analysis Of Historical Shortfalls And A Proposal For More Equitable Distribution, Maria-Cristina Kealey

Master's Projects and Capstones

Least-developed countries experienced 69% of deaths from climate disasters over the past 50 years despite comprising only 13% of the world’s population. Low-income and climate vulnerable nations around the world are suffering disproportionately as wealthy, high-emitting countries, such as the U.S., profit from the climate crisis. This research provides a comprehensive overview of past U.S. contributions to international climate finance efforts, assesses the climate finance deficit globally and specifically for developing countries, and proposes a more equitable share of U.S. funding from a quantitative and restorative climate justice approach. The primary analyses included quantifying the U.S. share of global greenhouse …

Successful Small Business Strategies Addressing Financially Related Adverse Circumstances, Shirley Thomas

Walden Dissertations and Doctoral Studies

Small businesses are a crucial part of the economy of the United States. However, once a small business owner experiences a financially related adverse circumstance, the chances of failure increase exponentially. Grounded in the rational choice theory, the purpose of this qualitative multiple case study was to identify and explore the effective strategies small business owners use when addressing financially related adverse circumstances. The participants were four small business owners in the Washington, D.C. metropolitan area who used successful strategies to address financially related adverse circumstances. Data were collected using semistructured interviews and reviews of organizational documents and analyzed using …

Relationship Lending And Early Refinancing, Jiaqin Hu

Olin Business School Graduate Student Theses and Dissertations

Abstract: This paper explores debt choice between relationship loans and callable bonds since both financing approaches are commonly used to mitigate agency cost and information asymmetry. By testing loan and firm samples from 1987 to 2015 in the U.S., we find that borrowers with bank relationship is also more likely to issue fixed price callable bonds and early refinance before the due date of public debt. In addition, we find that short term bank loans are substituted with long term public debt at early refinancing stage. Moreover, lenders forming strong relationship with borrowing firms tend to charge higher cost at …

Essays In Household And Labor Finance, Avantika Pal

Olin Business School Graduate Student Theses and Dissertations

My dissertation focuses on two broad questions. First, what is the role of financial regulation in alleviating financial distress of households? Second, how do labor markets shape individual financial outcomes? In Chapter 1, I document a positive impact of foreclosure delays — a widely used measure of foreclosure prevention — on labor income. I present novel evidence showing that foreclosure delays can foster sustained economic recovery through local labor markets by allowing borrowers to re-evaluate their employment decisions and address the root causes of their financial distress. To conduct this study, I leverage a temporary rule introduced by the Consumer …

Trouble, Shu Li

Olin Business School Graduate Student Theses and Dissertations

Generally, we do not want trouble, but oftentimes trouble is the most interesting thing in finance. This thesis has three essays related to trouble. The first essay suggests predictors of trouble (accounting fraud or financial distress) also predict excess returns for newly-listed firms. The second and third essays offer suggestions about what approaches best mitigate damage from nontraded wealth that can have trouble in the form of big losses. The second paper offers general results, including an indicator of when hedging is good and when it is bad, and the third essay provides technical results used in the second essay.

A Hierarchical Decision Model For Evaluating The Strategy Readiness Of Quantitative Machine Learning/Data Science-Driven Investment Strategies, Mohammadsaleh Saadatmand

Dissertations and Theses

Big data and computational technologies are increasingly important worldwide in asset and investment management. Many investment management firms are adopting these data science methods and technologies to improve performance across all investment processes. Researchers actively use these methods to develop more effective systematic investment strategies and produce more reliable outcomes less vulnerable to human decision-making biases. However, the success of such a strategy depends heavily on the scientific rigor applied throughout the process. "Best practices involve understanding how to make better decisions in the research design process. A good question is whether we can make better decisions in developing quantitative …

Dreams And Livelihoods In Rural Areas Require Capital, Too: An Investigation Into The Role Of Diminishing Community Banks, Financial Education, And Access To Capital In Rural Areas, Jackson Walton

Finance Undergraduate Honors Theses

Individuals in rural communities face unprecedented economic challenges due to a lack of financial education and a decline in the prevalence of community banks. These problems have continuously grown exponentially without successful attempt at remedy. The community banks that once served as the center of economic activity and prevalence in rural communities are leaving these communities quickly- leaving many without access to lines of credit, personal relationship banking, and without necessary financial education in a world with more financial options than ever. Access to banking and higher financial literacy proficiency rates are almost directly linked to better financial outcomes like …

The Economics Behind The Legalization Of Sports Gambling And Financial Market Relations, John Bassham

Finance Undergraduate Honors Theses

With the recent legalization of sports gambling, it has become a popular spectacle among sports fans and financial analysts pursuing an understanding of it. This thesis dives into the meticulous relationship between sports gambling and economic factors/financial market relations using academic literature to understand the relationship.

The thesis explores sports gambling from an economic standpoint using incentives to understand the market participants and economic advantages and disadvantages. It also uses academic literature and analytics to make a case for market efficiency while also delving into particular inefficiencies.

Furthermore, this thesis uses characteristics of the stock market in comparison of the …