Finance and Financial Management Commons^™

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 …

Policy Frameworks And Citizens’ Use Of Fintech Solutions: The Pros And Cons In Egypt, Salma Al-Mohamady

Theses and Dissertations

This thesis provides a comprehensive analysis of the significant influence of financial technology (FinTech) on the banking industry, consumer finance, and economic growth. It specifically concentrates on the swiftly changing FinTech environment in Egypt. The study investigates the impact of incorporating advanced technologies on worldwide financial practices, which has significantly transformed traditional banking models and facilitated the emergence of inventive financial services. The transition is clearly apparent in Egypt, where the expansion of FinTech has been driven by advances in regulations, adaptation to technology, and a population that is becoming more comfortable with digital solutions.

Using a combination of quantitative …

Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper analyzes a mix of alternative policies in supporting the green transition and the phase-out of fossil fuels, without compromising financial stability. An environmental dynamic stochastic general equilibrium (E-DSGE) model with two sectors (green and brown) and endogenous default is developed to assess potential climate-induced financial stability threats that can be mainly generated through physical and transition risks mechanism. Those risks are evaluated through a compound capital depreciation shock and a carbon tax shock. The paper offers several findings. First of all, a too stringent carbon tax would increase the medium-term default rate in both sectors, harming financial stability …

[Discussions] Vol. 19 Iss. 1

Discussions

This issue of Discussions was published for the Spring 2023 cycle.

U.S. Public Equity Esg Fund Composite And Parnassus Core Equity Fund: Performance And Factor Attribution, Karthik Nemani, Barrett Buhler

Discussions

This is the first paper to examine all U.S. public equity Environmental, Social, and Governance (ESG) funds offered by the Forum for Sustainable and Responsible Investment’s (SIF) institutional member firms from 2005 to 2020. For ease of communication, this will be called the ESG Composite. With a Net Asset Value (NAV) over $150 billion, these funds comprise nearly half of the U.S. public equity ESG investment landscape. The article finds that the ESG Composite maintains performance with the Standard and Poor’s (S&P) 500 total return index on an overall returns basis with lower volatility, indicating greater risk-adjusted returns. Factor analysis …

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …

“Safe” Annuity Retirement Products And A Possible Us Retirement Crisis, Thomas E. Lambert, Christopher B. Tobe

Faculty Scholarship

This paper examines a looming possible crisis in many Americans’ retirement plans due to the proliferation of annuity products in their retirement investment portfolios. As defined benefit pension plans have almost completely disappeared as a means of retirement savings and have been replaced by defined contribution retirement plans over the last 40 to 50 years, a great number of private and public sector defined contribution retirement plans have become laden with insurance contracts called annuities. Of the remaining solid defined benefit plans many, through a process called Pension Risk Transfer are being converted to high-risk single entity annuities. Such products …

Promoting Financial Inclusivity, A Route To Economic Growth: An Empirical Analysis From Sub-Saharan African Countries, Sulayman Jallow, Pradipta Kumar Sahoo, Bamadev Mahapatra

Bulletin of Monetary Economics and Banking

The present study deep dives into the relationship between financial inclusion and per capita income growth of 42 sub-Saharan African countries from 2007 to 2020. With the help of the generalized method of moments (GMM) modeling framework, the study discloses that a rise in the number of bank branches, automated teller machines, and savings stimulates per capita economic growth. Conversely, an elevated number of credit provisions to the private sector and high growth of population hinder per capita economic growth. The policy recommendation is for banking authorities to expand their services to underserved areas, raise interest rates on deposits, and …

From Canonical Law To Offshore Finance: Confessing To Priests And Bankers In Luxembourg, Samuel Weeks

Journal of Global Catholicism

In this article, I address two recurring tendencies that I heard during a recent period of research on banking secrecy in Luxembourg. First, my banker interviewees frequently mentioned personal transgressions for why many of their clients hide assets “offshore.” The wrongdoings my interlocutors cited included not only clients’ tax evasion, bankruptcy, and avoidance of liability – but also divorce, adultery, and the existence of out-of-wedlock children. Second, with a similar frequency, my interviewees drew parallels between the secrecy laws covering bankers and those afforded to other professionals in the country. Article 458 of Luxembourg’s Penal Code, dating from the nineteenth …

Microfinancing And Entrepreneurship In Cocoa Refinement In Côte D’Ivoire, Erin Soro

The Journal of Purdue Undergraduate Research

No abstract provided.

Navigating Geopolitical Crises For Energy Security: Evaluating Optimal Subsidy Policies Via A Markov Switching Dsge Model, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper aims to provide insights on the design of optimal subsidy policies to enhance energy security amidst energy disruptions triggered by geopolitical conflicts. We introduce a novel Markov switching dynamic stochastic general equilibrium (MS-DSGE) model to address the limitations of existing integrated assessment models in environmental evaluation. These models often fail to adequately consider the environmental and economic impacts of geopolitical conflicts and do not prioritize energy security sufficiently in policymaking. Our application of the MS-DSGE model to the Russia–Ukraine conflict reveals significant decreases in output, social welfare, and energy consumption during disruptions. The mere anticipation of an energy …

Local Institutional Investors And Corporate Monitoring: Evidence From Cross-Listed Korean Stocks In The Us Market, Changhwan Choi, Chune Young Chung, Jun Myung Song

Sim Kee Boon Institute for Financial Economics

Using Korean firms that are cross-listed in the US market, this paper investigates whether there are standalone effects of geographic and market proximity of institutional investors on monitoring performance. We find that Korean institutional ownership is negatively associated with earnings management while the US institutional ownership has no impact on earnings management. This suggests that there is the geographic proximity advantage over the market proximity advantage in the emerging markets. Furthermore, we also show that the impact of geographic proximity is stronger for firms with high informational opacity

Revolutionizing Lithium Extraction: Analysis Of Factors Affecting Commercialization Timelines With Insights From The Shale Gas Boom, Bilge Tayyar

CMC Senior Theses

This study draws parallels between Direct Lithium Extraction (DLE) and hydraulic fracturing to highlight the transformative potential of DLE technology in the lithium industry. The comparative analysis supports the hypothesis that DLE might expedite commercialization timelines, similar to the effect hydraulic fracturing has had on traditional shale gas extraction. The study includes a regression analysis to determine the factors affecting the commercialization of conventional lithium brine extraction methods, thereby better understanding the potential changes DLE will create. The regression model, based on data from 11 projects, examines the impact of variables such as temperature range, tax rates, royalty rates, regulatory …

Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim

CMC Senior Theses

Artificial Intelligence (AI) has positively transformed the Financial services sector but also introduced AI biases against protected groups, amplifying existing prejudices against marginalized communities. The financial decisions made by biased algorithms could cause life-changing ramifications in applications such as lending and credit scoring. Human Centered AI (HCAI) is an emerging concept where AI systems seek to augment, not replace human abilities while preserving human control to ensure transparency, equity and privacy. The evolving field of HCAI shares a common ground with and can be enhanced by the Human Centered Design principles in that they both put humans, the user, at …

Taking Flight Or Taking A Pass? Exploring Factors Influencing Consumer Willingness To Pay For Evtol Travel, David C. Ison

International Journal of Aviation, Aeronautics, and Aerospace

The Advanced Air Mobility (AAM) industry is experiencing significant growth due to technological advancements and increasing demand for efficient travel experiences. The market is expected to reach $45 billion by 2030, with major players like Joby, Archer, Beta, and Wisk dominating. This study aimed to assess public willingness to pay for AAM services using eVTOLs, using Amazon's Mechanical Turk platform. The survey yielded a response rate of 85.8%, with 1,622 completed surveys. The study found that younger urban consumers were more willing to pay higher prices for AAM electric vertical takeoff and landing (eVTOL) aircraft trips than older participants, possibly …

Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li

Research Collection Lee Kong Chian School Of Business

Using establishment-level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography-linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross-firm return predictability and is not easily attributable to risk-based explanations. It is more pronounced for focal firms that receive lower investor attention, are more costly to arbitrage, and during high sentiment periods. The cross-firm information spillovers and return predictability are also stronger for geographic peers with economic linkages and with positive information. Our results are broadly consistent with …

Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong

Research Collection Lee Kong Chian School Of Business

This paper examines whether and how individual risk-taking behavior affects real estate financing through shadow banks. Using the loan data from an online platform in China, we show that riskier households tend to employ online loans to meet the increasing down-payment in their home purchase. Individual investors are likely to fund riskier real estate loans with higher expected returns. Real estate loans experience higher ex-post default rates than other types of loans. The effect is more pronounced during the period of credit constraints.

Money Doesn’T Grow On Trees: How Financial Literacy Is Learned And Developed Within American Childhood, Nate Lewis

Soaring: A Journal of Undergraduate Research

Financial literacy refers to the ability to process and utilize economic information to make informed decisions for their wellbeing. Given concerning indicators of financial outcomes within the United States, it is crucial to understand how and when strong financial behavior is developed. Efforts to enhance financial education have explored incorporating financial concepts into children’s literature and games. Yet, research indicates that financial literacy is far more rooted in the habits learned from one’s family, despite the emphasis often placed on schooling and socioeconomic status. It is therefore evident that efforts to promote financial literacy must always involve empowering family members …

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 …

An Analysis On The Efficiency Of Philippine Microfinance Institutions: A Stochastic Frontier Approach, Ryan Lou Dio, Elijah Jacob Mendoza, Lunette Clarisse Nunez, Ma. Ellory Villanueva, Myrna S. Austria, Tereso S. Tullao Jr

Angelo King Institute for Economic and Business Studies (AKI)

Microfinance institutions (MFIs) were created to provide loans and financial services for the poor as commercial banks have requirements that are not accessible to them. The Philippines government soon started using MFIs as a poverty alleviation tool to answer the market failure created by the commercial banking industry since it cannot accommodate the needs of low-income earners due to the high costs attached to it. However, recent studies have shown that MFIs are “mission drifting,” which means that they are deviating from their original social purpose and becoming more financially driven. As a result, this paper estimates the financial and …

Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

Do illegal insiders internalize legal risk? We address this question with hand-collected data from 530 SEC (the U.S. Securities and Exchange Commission) investigations. Using two plausibly exogenous shocks to expected penalties, we show that insiders trade less aggressively and earlier and concentrate on tips of greater value when facing a higher risk. The results match the predictions of a model where an insider internalizes the impact of trades on prices and the likelihood of prosecution and anticipates penalties in proportion to trade profits. Our findings lend support to the effectiveness of U.S. regulations' deterrence and the long-standing hypothesis that insider …

Are Bond Returns Predictable With Real-Time Macro Data?, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

We investigate the predictability of bond returns using real-time macro variables and consider the possibility of a nonlinear predictive relationship and the presence of weak factors. To address these issues, we propose a scaled sufficient forecasting (sSUFF) method and analyze its asymptotic properties. Using both the existing and the new method, we find empirically that real-time macro variables have significant forecasting power both in-sample and out-of-sample. Moreover, they generate sizable economic values, and their predictability is not spanned by the yield curve. We also observe that the forecasted bond returns are countercyclical, and the magnitude of predictability is stronger during …

In Search Of Cryptocurrency Failure, Donglian Ma, Jun Tu, Zhaobo Zhu

Research Collection Lee Kong Chian School Of Business

This paper explores the determinants of cryptocurrency failure and the pricing of crypto failure risk. We document different significant market- and characteristic-based predictors for coin and token failures. The introduction of Bitcoin futures and the outbreak of COVID19 affect the importance of many predictors. Investors require extra return for bearing high failure risk of crypto assets. The return difference across high and low failure risk crypto assets is not explained by the market, size and momentum factors in the cryptocurrency market. Finally, investors benefit from diversifying into high failure risk crypto assets that is little correlated with the stock market.

How Commonality Persists? (Through Investors' Sentiment And Attention), Chyng Wen Tee, Raja Velu, Zhaoque Zhou

Research Collection Lee Kong Chian School Of Business

Studies on commonality generally attribute the variation in asset returns to the variation in order flows. In this research study, we show that order flows do not predict asset returns, rather their relationship have been static over time. Thus we model both returns and the order flows as endogenous variables, and use investors' sentiment and attention as exogenous factors via a reduced-rank regression. We provide empirical evidence to demonstrate that cross-sectional commonality in attention (sentiment) is linearly (nonlinearly) associated with both returns and order flows at the intraday level, while the sentiment and attention measures themselvesexhibit a nonlinear mutual relationship, …

The Value Of Official Website Information In The Credit Risk Evaluation Of Smes, Cuiqing Jiang, Chang Yin, Qian Tang, Zhao Wang

Research Collection School Of Computing and Information Systems

The official websites of small and medium-sized enterprises (SMEs) not only reflect the willingness of an enterprise to disclose information voluntarily, but also can provide information related to the enterprises’ historical operations and performance. This research investigates the value of official website information in the credit risk evaluation of SMEs. To study the effect of different kinds of website information on credit risk evaluation, we propose a framework to mine effective features from two kinds of information disclosed on the official website of a SME—design-based information and content-based information—in predicting its credit risk. We select the SMEs in the software …

Policy Research On Allocation Of Science And Technology Funds For State Key Laboratory After Reorganization, Bo Zhang, Xue Wang, Congli Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

The state key laboratory is an important component of the national strategic scientific and technological strength. The CPC Central Committee made a major decision to reorganize the state key laboratory system, proposed to increase investment in the reorganized state key laboratory, and to reform support policies. Aiming to achieve sci-tech self-reliance and self-strengthening at higher levels, studying the funds allocation of state key laboratory in the new era has important practical and far-reaching significance. In the previous practice, China’s allocation of funds for state key laboratory has 4 problems, such as weak correlation between fund allocation and the mission orientation …

Analysis Of Us Airline Stocks Performance Using Latent Dirichlet Allocation (Lda), Amina Issoufou Anaroua

Beyond: Undergraduate Research Journal

Various events, such as changes in the interest rate or the hijacking of a commercial aircraft, can lead to significant shifts in airline stock performance. This study aimed to measure the impact of aviation-related news announcements on the stock performance of US airlines, focusing on different topics. The dataset included aviation news covering airlines, airports, regulations, safety, accidents, manufacturers, MRO, incidents, aviation training, general aviation, and others obtained from Aviation Voice. To uncover patterns that could explain the movements of US airline stocks, a natural language processing technique called Latent Dirichlet Allocation (LDA) was employed. The process involved text mining …

Financial Integration And Exchange Market Pressure, Kate Phylaktis, Muhammad Aftab

CBER Conference

This study examines the role of financial integration on exchange market pressure (EMP) across a representative group of forty-two advanced and emerging markets over the period 2000-2019, which covers the global financial crisis, which has heightened monetary and economic policy uncertainty. We use a novel measure of financial integration, namely the uncovered equity return differential versus the US, which is based on the Uncovered Equity Parity and is available at a monthly frequency.

Money Changers Have Their Own Fintech Disruption To Grapple With, Aurobindo Ghosh

Research Collection Lee Kong Chian School Of Business

In a commentary, SMU Assistant Professor of Finance (Education) and Director of the Citi Foundation-SMU Financial Literacy Programme for Young Adults Aurobindo Ghosh discussed the outlook for money changers in a world of multi-currency apps. He however noted money changers still have a role to play, and shared his views on how money changers can respond to technological disruption.

Time To Regulate Influencers Who Tell You Where To Put Your Money, Patricia Lui

Research Collection Lee Kong Chian School Of Business

Financial scandals elsewhere have shown that ‘finfluencers’ do not always act in good faith and can mislead their followers.