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Full-Text Articles in Finance and Financial Management

Trading Regularity And Fund Performance: Evidence In Uncertain Markets, Lin Tong, Zhe Zhang Dec 2020

Trading Regularity And Fund Performance: Evidence In Uncertain Markets, Lin Tong, Zhe Zhang

Research Collection Lee Kong Chian School Of Business

High trading regularity funds outperform low trading regularity funds more during periods of low market returns and greater market and economic uncertainty. Their trading also has strong return predictability on stock returns during periods of greater uncertainty. They trade more around news events, and their news related trading predicts stock return stronger during periods of greater uncertainty. They also profit from liquidity provision in highly uncertain market environment. Overall our evidence suggests that high trading regularity funds trade more frequently during periods of high uncertainty when information production and processing skill is more valuable and when the demand for liquidity …


International Tax Competition And Foreign Direct Investment In The Asia-Pacific Region: A Panel Data Analysis, Chengwei Xu, Alfred M. Wu Dec 2020

International Tax Competition And Foreign Direct Investment In The Asia-Pacific Region: A Panel Data Analysis, Chengwei Xu, Alfred M. Wu

Research Collection School Of Accountancy

Purpose: The purpose of this study is to investigate how a country's competitive tax policy influences its inward foreign direct investments (FDI) in the Asia–Pacific region, even when given particular constraints (e.g., population, public governance, skilled labor, and so on) exist. Design/methodology/approach: The paper uses the system GMM estimation approach to test the hypothesis. Data on FDI, corporate income tax, and various confounding factors were drawn from Ernst and Young's worldwide corporate tax guide, the World Bank, and other sources to create a panel of 28 economies over the period 2000–2016. Findings: The present research confirms the negative association between …


Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann Nov 2020

Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann

Sim Kee Boon Institute for Financial Economics

Appropriate risk management is crucial to ensure the competitiveness of financial institutions and the stability of the economy. One widely used financial risk measure is value-at-risk (VaR). VaR estimates based on linear and parametric models can lead to biased results or even underestimation of risk due to time varying volatility, skewness and leptokurtosis of financial return series. The paper proposes a nonlinear and nonparametric framework to forecast VaR that is motivated by overcoming the disadvantages of parametric models with a purely data driven approach. Mean and volatility are modeled via support vector regression (SVR) where the volatility model is motivated …


Macroeconomic Stabilization In The Digital Age, John Beirne, David Fernandez Nov 2020

Macroeconomic Stabilization In The Digital Age, John Beirne, David Fernandez

Research Collection Lee Kong Chian School Of Business

Macroeconomic Stabilization in the Digital Age provides insights into factors affecting the macroeconomic management of the economy in the digital age. Policy makers need to be aware of the increasing prominence of the digital economy and digital finance and seek to better understand how continued digitalization will affect policies aimed at managing the economy. For emerging market economies (EMEs), macroeconomic policy challenges have been exacerbated by the digital finance revolution in the aftermath of the global financial crisis and the coronavirus disease (COVID-19) pandemic, when many EMEs experienced large and volatile capital flows. Policy makers must also navigate through fluctuating …


The Dorian Gray Phenomenon In Financial Markets, Ajay Makhija Nov 2020

The Dorian Gray Phenomenon In Financial Markets, Ajay Makhija

Asian Management Insights

Looking at the current state of the global economy and the extent of financial market hedonism through the lens of Oscar Wilde’s “The Picture of Dorian Gray”.


Can Retail Investors Learn From Insiders?, Ekkehart Boehmer, Bo Sang, Zhe Zhang Nov 2020

Can Retail Investors Learn From Insiders?, Ekkehart Boehmer, Bo Sang, Zhe Zhang

Research Collection Lee Kong Chian School Of Business

This paper examines the trading patterns of retail investors following insider trading and the corresponding price impact. Retail investors follow the opportunistic purchases by insiders, but not their routine purchases. Neither investor attention nor common information such as earnings announcements or analysts forecast re- visions explains the results. They keep following insider purchases in subsequent four quarters. Moreover, for stocks with opportunistic insider purchases, those that retail investors bought yield higher cumulative abnormal returns than those that retail investors sold. The effect is mostly driven by the information compo- nent of the retail trades, rather than liquidity provision or temporary …


Frm Financial Risk Meter, Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen, Wolfgang Karl Hardle Oct 2020

Frm Financial Risk Meter, Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is based on least absolute shrinkage and selection operator quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding active set data characteristics and the presentation of interdependencies in a network topology. Two FRM indices are presented, namely, FRM@Americas and FRM@Europe. The FRM indices detect systemic risk at selected areas and identify risk factors. In practice, FRM is applied to the return time series of selected financial institutions …


Teres: Tail Event Risk Expectile Shortfall, Andrija Mihoci, Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen Oct 2020

Teres: Tail Event Risk Expectile Shortfall, Andrija Mihoci, Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen

Sim Kee Boon Institute for Financial Economics

We propose a generalized risk measure for expectile-based expected shortfall estimation. The generalization is designed with a mixture of Gaussian and Laplace densities. Our plug-in estimator is derived from an analytic relationship between expectiles and expected shortfall. We investigate the sensitivity and robustness of the expected shortfall to the underlying mixture parameter specification and the risk level. Empirical results from the US, German and UK stock markets and for selected NASDAQ blue chip companies indicate that expected shortfall can be successfully estimated using the proposed method on a monthly, weekly, daily and intra-day basis using a 1-year or 1-day time …


Will Ceos With Banking Experience Lower Default Risks? Evidence From P2p Lending Platforms In China, Qiang Gong, Chong Liu, Qianni Peng, Luying Wang Oct 2020

Will Ceos With Banking Experience Lower Default Risks? Evidence From P2p Lending Platforms In China, Qiang Gong, Chong Liu, Qianni Peng, Luying Wang

Research Collection Lee Kong Chian School Of Business

Using a novel dataset of 121 Chinese P2P lending platforms, we investigate the impact of CEOs' banking experience on default risk. The empirical results indicate that CEOs with prior banking experience manage default risk better. Moreover, CEOs' banking experience has a stronger influence on small platforms and in situations where the platforms' depository banks are city commercial banks. Our results indicate that although fintech provides technology to reduce risks, we cannot ignore the constructive role of professional experience in risk management. Thus, investors and regulators in emerging markets should pay attention to managers' financial qualifications, and especially to CEOs' banking …


The Future Of Work Now: Ai-Driven Transaction Surveillance At Dbs Bank, Thomas H. Davenport, Steven M. Miller Oct 2020

The Future Of Work Now: Ai-Driven Transaction Surveillance At Dbs Bank, Thomas H. Davenport, Steven M. Miller

Research Collection School Of Computing and Information Systems

One of the most frequently-used phrases at business events these days is “the future of work.” It’s increasingly clear that artificial intelligence and other new technologies will bring substantial changes in work tasks and business processes. But while these changes are predicted for the future, they’re already present in many organizations for many different jobs. The job and incumbents described below are an example of this phenomenon. Steve Miller of Singapore Management University and I co-authored the story.


Do Short Sellers Use Textual Information? Evidence From Annual Reports, Hung Wan Kot, Frank Weikai Li, Ming Liu, K.C. John Wei Sep 2020

Do Short Sellers Use Textual Information? Evidence From Annual Reports, Hung Wan Kot, Frank Weikai Li, Ming Liu, K.C. John Wei

Research Collection Lee Kong Chian School Of Business

We examine short-sellers’ use of textual information in annual reports for shorting activities. We find that more uncertainty and negative words in annual reports are associated with greater abnormal shorting volume. Short selling motivated by textual information negatively predicts stock price reaction around the filing date of 10-K reports. We further provide some evidence that textual information used by short-sellers are related to revisions of analysts’ earnings forecasts, changes in firm fundamentals, and increasing crash risk subsequently. Our results suggest that textual information in annual reports forms an important part of short-sellers’ information advantage.


Skbi Big 5 Survey 2020 August, Singapore Management University Aug 2020

Skbi Big 5 Survey 2020 August, Singapore Management University

Sim Kee Boon Institute for Financial Economics

The COVID-19 pandemic led to whopping downward revisions to 2020 real GDP growth among the Big5 economies, on average greater than 7%-points (ranging from roughly 3.5%-points for China to more than 10%-points for India). The forecast revisions to headline inflation were less sizable and more uneven, perhaps because of the confluence of supply and demand influences. The 2021 median GDP forecast is expected to turn positive overall, with a balanced risk assessment for most of the Big5 (but a coin toss in IN and US), but the growth reversal is likely to be highly uneven. While China regains its prior …


Financial Technology And Inclusion In Asean, David Fernandez, Marc Rakotomalala Aug 2020

Financial Technology And Inclusion In Asean, David Fernandez, Marc Rakotomalala

Research Collection Lee Kong Chian School Of Business

Financial technology (FinTech) has the potential to be a positive, game-changing force for boosting financial inclusion in ASEAN, as mobile money and greater access to basic financial services have the capacity to improve the economic well-being of households. Indeed, technology has been shown to drive broader increases in economic growth, which itself interacts positively with financial inclusion. In a more direct way, new, specific fintech developments globally and in ASEAN itself can be beneficial for financial inclusion. In this paper, we look at financial inclusion and technology, and how cooperative efforts between ASEAN policymakers, the private sector, and their broader …


Do Women Receive Worse Financial Advice?, Utpal Bhattacharya, Amit Kumar, Sujata Visaria, Jing Zhao Aug 2020

Do Women Receive Worse Financial Advice?, Utpal Bhattacharya, Amit Kumar, Sujata Visaria, Jing Zhao

Research Collection Lee Kong Chian School Of Business

We arranged for trained undercover men and women to pose as potential clients and visit all 65 local financial advisory firms in Hong Kong. At financial planning firms, but not at securities firms, women were more likely than men to receive advice to buy only individual or only local securities. Women clients who signaled that they were highly confident, highly risk tolerant or had a domestic outlook, were especially likely to receive this suboptimal advice. Our theoretical model explains these patterns as the result of statistical discrimination interacting with advisors’ incentives. Taste-based discrimination is unlikely to explain the results.


Risk Control System Construction Of China’S Equity Crowdfunding Platforms: A Comparative Study On The Differences Between Equity Crowdfunding And Traditional Venture Capital Investment, Wentao Bai Aug 2020

Risk Control System Construction Of China’S Equity Crowdfunding Platforms: A Comparative Study On The Differences Between Equity Crowdfunding And Traditional Venture Capital Investment, Wentao Bai

Dissertations and Theses Collection (Open Access)

Equity crowdfunding is a new type of public financing activity realized by Internet technology with small single investments funds, which is different from traditional venture capital. It greatly solves the equity investment problem of middle-class people and the difficulties of small and medium-sized enterprises and start-ups in financing. It is also conducive to the construction of multi-level capital market, and the healthy development of national financial system. Due to the advantages of equity crowdfunding, the global equity crowdfunding market has developed rapidly in recent years. Unfortunately, China's formal legislation on equity crowdfunding has not been introduced yet. Each platform can …


Bermudan Option In Singapore Savings Bonds, Kian Guan Lim Jul 2020

Bermudan Option In Singapore Savings Bonds, Kian Guan Lim

Research Collection Lee Kong Chian School Of Business

The Singapore Savings Bonds (SSB) is a unique investment program offered by the Singapore government whereby retail investors can earn risk-free tax-free step-up interest closely matched to Treasury bond rates for up to 10 years and can redeem on any business day prior to maturity without any early redemption penalty. This study analyses the unique design of the SSB and provides a valuation of the Bermudan option for early redemption that is embedded in the SSB. The Black-Derman-Toy model is used to build the interest rate tree, and an iterative method is employed to avoid arbitrary specification of the pre-determined …


Fomc Playbook: The Only New Game In Town?, Thomas Lam Jun 2020

Fomc Playbook: The Only New Game In Town?, Thomas Lam

Sim Kee Boon Institute for Financial Economics

In light of the Covid-19 pandemic, the Federal Open Market Committee (FOMC), while taking more aggressive actions, seems to have stuck more or less to the standard playbook of responding to “unusual and exigent circumstances”. This essentially calls for slashing conventional policy rates to their effective lower bound, accompanied by forward guidance, embarking on asset purchases, rolling out emergency liquidity facilities and experimenting with lending programmes. But policymakers, with the required US Treasury backstop, have also introduced more creative programmes to encourage credit extension and reached into different market segments.


Corporate Governance: Of Misses, Awareness And Improvements, Havovi Heerjee Joshi Jun 2020

Corporate Governance: Of Misses, Awareness And Improvements, Havovi Heerjee Joshi

Asian Management Insights

Have a more robust and effective corporate governance framework that includes a focus on environmental sustainability and social impact.


Gender And Beauty In The Financial Analyst Profession: Evidence From The United States And China, Congcong Li, An-Ping Lin, Hai Lu, Kevin Veenstra Jun 2020

Gender And Beauty In The Financial Analyst Profession: Evidence From The United States And China, Congcong Li, An-Ping Lin, Hai Lu, Kevin Veenstra

Research Collection School Of Accountancy

We examine how gender and beauty affect the likelihood of being voted as an All-Star in the financial analyst profession in both the United States and China. We find that female analysts are more likely to be voted as All-Star analysts in the United States, but good-looking female U.S. analysts are less likely to be voted as All-Stars. The conclusion is the opposite for Chinese analysts. We find that female analysts in China are less likely to be voted as All-Stars, but the likelihood increases with their facial attractiveness. These findings implicate a beauty penalty for female analysts in the …


China's Anti‐Corruption Campaign And Financial Reporting Quality, Ole-Kristian Hope, Heng Yue, Qinlin Zhong Jun 2020

China's Anti‐Corruption Campaign And Financial Reporting Quality, Ole-Kristian Hope, Heng Yue, Qinlin Zhong

Research Collection School Of Accountancy

We examine the impact of China’s anti-corruption campaign on firm-level financial reporting quality (FRQ). As an important component of the anti-corruption campaign, in October 2013, “Rule 18” was issued to prohibit party and government officials from serving as directors for publicly listed firms. The regulation led to a large number of official directors resigning from their roles as directors involuntarily. As such, Rule 18 has effectively weakened, if not fullydiscontinued, the political connections of the firms that previously hired officials as directors. Our empirical analyses employ a difference-in-differences research design with firm fixed effects and PSM to examine the pre- …


Stock Market Information And Security Prices, Haoyuan Li Jun 2020

Stock Market Information And Security Prices, Haoyuan Li

Dissertations and Theses Collection (Open Access)

Chapter 1: Analyst report content and stock market anomalies A series of recent papers document that security analyst recommendations tend to contradict stock-mispricing signals. This seems at odds with the large prior literature on the investment value of analyst recommendations. What justifications do analysts make when they write reports on mispriced stocks? I use the latest techniques in machine learning and textual analysis to categorize the qualitative information in a large sample of analyst reports. I find that report content can be intuitively classified into five categories or topics: 1) Growth, 2) Earnings, 3) New developments, 4) Management transactions, and …


Stochastic Capacity Management In The Presence Of Production Resource Disruption, Boya Yang Jun 2020

Stochastic Capacity Management In The Presence Of Production Resource Disruption, Boya Yang

Dissertations and Theses Collection (Open Access)

This dissertation studies the capacity investment decision of a manufacturing firm facing demand uncertainty in the presence of shortage possibility in production resources, as often ignored in the literature. These production resources can be physical resources (component / raw material) or financial resources (working capital / budget). The shortage in these resources can be caused by a variety of supply chain disruptions; examples include global disruptions like COVID-19 and financial crisis in 2008 and local disruptions like shortage of components/workforce. The dissertation analyses two important issues related to capacity management: (i) the effect of production resource disruption on the capacity …


Go Big With Economic Push To Fight Covid-19, David Fernandez May 2020

Go Big With Economic Push To Fight Covid-19, David Fernandez

Research Collection Lee Kong Chian School Of Business

Economic policymakers need to focus on taking bold and immediate action in order to tackle the pandemic crisis.


Three Essays On Financial Economics, Jiangyuan Li May 2020

Three Essays On Financial Economics, Jiangyuan Li

Dissertations and Theses Collection (Open Access)

Disagreement measures are known to predict cross-sectional stock returns but fail to predict market returns. This paper proposes a partial least squares disagreement index by aggregating information across individual disagreement measures and shows that this index significantly predicts market returns both in- and out-ofsample. Consistent with the theory in Atmaz and Basak (2018), the disagreement index asymmetrically predicts market returns with greater power in high sentiment periods, is positively associated with investor expectations of market returns, predicts market returns through a cash flow channel, and can explain the positive volume-volatility relationship.


Green Bonds For Financing Renewable Energy And Energy Efficiency In South-East Asia: A Review Of Policies, Dina Azhgaliyeva, Anant Kapoor, Yang Liu Apr 2020

Green Bonds For Financing Renewable Energy And Energy Efficiency In South-East Asia: A Review Of Policies, Dina Azhgaliyeva, Anant Kapoor, Yang Liu

Research Collection Lee Kong Chian School Of Business

Mobilizing private finance for renewable energy and energy efficiency is critical for Association of South-East Asian Nations (ASEAN) not only for the reduction of global temperature rise but also for meeting fast-growing energy demand. Two-thirds of green bonds issued in ASEAN were used to finance renewable energy and energy efficiency projects. This paper provides a review of green bond issuance and green bond policies in ASEAN. Issuance of green bonds in top three green bond issuing countries in ASEAN, i.e. Indonesia, Malaysia and Singapore, are reviewed in detail. Green bond policies in ASEAN are effective in promoting green bond issuance. …


Investing With Cryptocurrencies: A Liquidity Constrained Investment Approach, Simon Trimborn, Mingyang Li, Wolfgang Karl Hardle Mar 2020

Investing With Cryptocurrencies: A Liquidity Constrained Investment Approach, Simon Trimborn, Mingyang Li, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cryptocurrencies have left the dark side of the finance universe and become an object of study for asset and portfolio management. Since they have low liquidity compared to traditional assets, one needs to take into account liquidity issues when adding them to a portfolio. We propose a Liquidity Bounded Risk-return Optimization (LIBRO) approach, which is a combination of risk-return portfolio optimization under liquidity constraints. Cryptocurrencies are included in portfolios formed with stocks of the S&P 100, US Bonds, and commodities. We illustrate the importance of the liquidity constraints in an in-sample and out-of-sample study. LIBRO improves the weight optimization in …


Why Commonality Persists?, Raja Velu, Zhaoque Zhou, Chyng Wen Tee Mar 2020

Why Commonality Persists?, Raja Velu, Zhaoque Zhou, Chyng Wen Tee

Research Collection Lee Kong Chian School Of Business

Studies on commonality in returns, order flows and liquidity find that the first principal component is closely aligned with the market factor. With the increasing presence of high-frequency trading, commonality in returns, order flows, and liquidity can potentially arise from the commonality in the interpretation of real-time signals. In this paper, we go beyond the first factor and show that the other dominant principal components consistently reflects investors' herding behavior, demonstrating the multi-dimensional aspect of commonality. Instead of relating the asset returns to order flows, we take both as endogenous, and provide empirical evidence showing that returns commonality is driven …


A Behavioral Signaling Explanation For Stock Splits: Evidence From China, Chenyu Cui, Frank Weikai Li, Jiaren Pang, Deren Xie Mar 2020

A Behavioral Signaling Explanation For Stock Splits: Evidence From China, Chenyu Cui, Frank Weikai Li, Jiaren Pang, Deren Xie

Research Collection Lee Kong Chian School Of Business

We propose a behavioral signaling explanation for the positive announcement effects of stock splits. There are two key behavioral ingredients in our model. First, (retail) investors have misconceptions about stock splits that make them view stock splits as good news. Second, investors are loss-averse and will be particularly disappointed if a splitting firm’s ex-post performance falls short of expectation. In a separating equilibrium, only managers with favorable private information use stock splits to signal. Using a comprehensive sample of stock splits in China over the period of 1998 to 2017, we find supporting evidence: (1) stock splits elicit positive announcement …


Time-Series Momentum: Is It There?, Dashan Huang, Jiangyuan Li, Liyao Wang, Guofu Zhou Mar 2020

Time-Series Momentum: Is It There?, Dashan Huang, Jiangyuan Li, Liyao Wang, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

Time-series momentum (TSM) refers to the predictability of the past 12-month return on the next one-month return, and is the focus of several recent influential studies. This paper shows, however, that asset-by-asset time-series regressions reveal little evidence of TSM, both in- and out-of-sample. While the t-statistic in a pooled regression appears large, it is not statistically reliable as it is less than the critical values of parametric and non-parametric bootstraps. From an investment perspective, the TSM strategy is profitable, but its performance is virtually the same as that of a similar strategy that is based on historical sample mean and …


Commentary: Where Does The Talent Pools Of Smes Come From?, T. Mandy Tham Mar 2020

Commentary: Where Does The Talent Pools Of Smes Come From?, T. Mandy Tham

Research Collection Lee Kong Chian School Of Business

In a commentary, SMU Assistant Professor of Finance Mandy Tham explored how ‘family members’ is defined could affect the size of talent pool for SMEs and family businesses, and suggested some criteria for the selection of family members to be nurtured for the SMEs and family businesses.