Finance Commons^™

The Role Of Macroprudential Policies Under Carbon Pricing, Maria Teresa Punzi

Sim Kee Boon Institute for Financial Economics

This paper analyses the effectiveness of macroprudential policy on macro-financial fluctuations when the government enforces carbon pricing to reduce carbon emissions and achieve the net-zero target. A carbon tax policy alone can reduce carbon emissions by 2030, but at the cost of a deep and prolonged recession, with consequential financial instability due to a higher probability of default on entrepreneurs in the brown sector. This result suggests that carbon pricing should be coupled with complementary policies, such as macroprudential policy. In particular, differentiated LTV ratios and differentiated capital requirements that penalize the brown sector in favour of the green sector …

The Research Of The Non-Financial Factors In The Investment Decision, Wenbiao Hou

Dissertations and Theses Collection (Open Access)

Driven by globalization and technological innovation, the complexity of investment decisions is continuously increasing. While traditional financial factors still play a crucial role in these decisions, an increasing number of real-life cases indicate that investors are relying more on non-financial factors. This paper systematically analyzes the impact of these non-financial factors in the framework of investment decision-making.

This paper employs a mixed research method, incorporating both qualitative and quantitative analyses to ensure comprehensive coverage of the topic. First, it outlines the theoretical basis and development of non-financial factors in investment decisions through a review of prior literature. Next, it collects …

Impact Of Fiscal Policy On Financial Inclusion And Development In Nigeria, Okwanya Innocent, Taiwo A. Olusegun, Aimua E. Peace

CBN Journal of Applied Statistics (JAS)

This paper examines the effect of fiscal policy on financial inclusion and development in Nigeria. The study employs the Autoregressive Distributed Lag (ARDL) model and impulse response function (IRF) to determine the extent and response of financial inclusion and development to fiscal policy changes in Nigeria. The study derives a financial inclusion index from three core indicators: access, usage and quality of financial services, while financial development is measured as the ratio of money supply to GDP (M2/GDP). The results show that government expenditure has a significant positive effect on financial inclusion and development, while tax revenue exerts a negative …

Three Essays Applying Dynamic Models In Economics, Finance, And Machine Learning, Lucas C. Dowiak

Dissertations, Theses, and Capstone Projects

This dissertation is a composition in three parts. Collectively, these essays investigate dynamic methods and their application in the fields of Economics, Finance, and Machine Learning. It pulls liberally from all three. In particular, this dissertation makes repeated use of multi-state modeling frameworks popular in Economics to bring a faceted view to the underlying data and detect its hidden heterogeneity. The challenge of modeling financial assets and estimating their dependence is another focus. For stimulus, concepts in the Machine Learning field are brought in to aid or compete with established econometric techniques.

Econometric Applications of the Hierarchical Mixture-of-Experts

In this …

Empirical Essays On Retail Investors, Institutional Investors, And Anomalies, Yuqing Yang

Dissertations, Theses, and Capstone Projects

This dissertation consists of five chapters on market efficiencies through retail and international mutual fund investors.

Chapter 1 This chapter briefly introduces this dissertation.

Chapter 2 This chapter Anomalies Never Disappeared: The Case of Stubborn Retail Investors delves into the “stubborn” retail investors and finds that anomalies traded against by retail investors never disappear in the long run, defying the conventional wisdom that anomalies are disappearing in recent years as market efficiency improves. Incorporating retail trading, I develop asset pricing models that surpass existing prominent models in explaining these long-run alphas. I hypothesize that retail investors exacerbate anomalies: the more …

Robust Contracts In Common Agency, Keler Marku, Sergio Ocampo, Jean-Baptiste Tondji

Economics and Finance Faculty Publications

Business activities often involve a common agent managing a variety of projects on behalf of investors with potentially conflicting interests. The extent of the agent's actions is also often unknown to investors, who have to design contracts that provide incentives to the manager despite this lack of crucial knowledge. We consider a game between several principals and a common agent, where principals know only a subset of the actions available to the agent. Principals demand robustness and evaluate contracts on a worst-case basis. This robust approach allows for a crisp characterization of the equilibrium contracts and payoffs and provides a …

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 …

Impact Of Covid-19 Pandemic On Performance Of Nigerian Stock Market, Shafiu Ibrahim Abdullahi

CBN Journal of Applied Statistics (JAS)

This study analyzes the effect of COVID-19 pandemic on the performance of Nigerian stock market. The study uses a number of models that include autoregressive distributed lag, vector auto regression, exponential generalized autoregressive conditional heteroskedasticity and multivariate generalized autoregressive conditional heteroskedasticity models. Findings show that reported cases of COVID-19 have causal effect on daily returns of the Nigerian stock market. The results also show that Nigerian stocks are good for portfolio diversification. The results of variance decomposition confirm the declining importance of COVID-19 cases and deaths as the pandemic slows down. Further results show that, for the duration of the …

Identifying Risk-Taking Behavior And Prudent Asset Allocation In Pension Funds In Indonesia, Mohammad Alvin Prabowosunu, Reza Yamora Siregar, Rosi Melati, Devan Hadrian, Rizky Rizaldi Ronaldo

Economics and Finance in Indonesia

This research aims to investigate asset allocation strategies in the pension fund industry in Indonesia in relation to liability profiles and risk-taking behavior. Utilizing data on market returns for each asset class and several financial indicators of pension funds, we applied the risk-taking behavior model proposed by Andonov & Rauh (2022) and a modified model to observe the Liability-Driven Investment (LDI) strategies of pension funds in Indonesia. We discovered that private defined contribution pension fund schemes (PPIP) tend to exhibit higher risk-taking behavior, primarily through investment allocation in equities. On the other hand, private defined benefit pension funds (PPMP) demonstrate …

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 …

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 …

Essays On Cryptocurrency Assets, Minwoo Song

Dissertations, Theses, and Capstone Projects

Chapter 1 - Herd Instinct in the Digital Currency Markets: In this chapter, We establish that the actions of influential opinion leaders in the digital currency markets and potential investors following their lead drive abnormal cryptocurrency returns. We develop a psychological and behavioral factor, named the herd behavior index, that detects the herd instinct of the investors in cryptocurrency markets and captures anomalies in cryptocurrency returns. Our finding shows that the herd behavior index can explain the variation in cryptocurrency returns. Moreover, there exists a time-series relationship between abnormal returns and the investors’ herd instinct, and the herd behavior index …

Essays On Empirical Economics, Dorian Abreu

Dissertations, Theses, and Capstone Projects

CHAPTER 1: HIGH FREQUENCY TRADING AND MARKET LIQUIDITY

This paper provides evidence of the impact of High Frequency Trading (HFT) on liquidity. I use data from the NASDAQ OMX that identifies the trades of 26 HFT firms on 120 randomly selected stocks listed on the NASDAQ. I find that HFT improves overall market liquidity. However, the liquidity improvements come at the expense of the non high frequency traders. Results indicate that trades in which the HFT supply liquidity to non HFTs have a significantly wider spreads. This impact is larger for smaller cap stocks. Additionally, price impacts are largest when …

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 …

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 …

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.

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 …

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 …