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Social and Behavioral Sciences Commons™
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- Financial constraints (2)
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Articles 1 - 26 of 26
Full-Text Articles in Social and Behavioral Sciences
Trading Regularity And Fund Performance: Evidence In Uncertain Markets, Lin Tong, Zhe Zhang
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 …
Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann
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 …
Can Retail Investors Learn From Insiders?, Ekkehart Boehmer, Bo Sang, Zhe Zhang
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 …
Macroeconomic Stabilization In The Digital Age, John Beirne, David Fernandez
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
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”.
Frm Financial Risk Meter, Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen, Wolfgang Karl Hardle
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
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 …
Does Early Access To Pension Wealth Improve Health?, Seonghoon Kim, Kanghyock Koh
Does Early Access To Pension Wealth Improve Health?, Seonghoon Kim, Kanghyock Koh
Research Collection School Of Economics
We examine the health impacts of early access to public pension wealth by exploiting a unique policy in Singapore allowing individuals to withdraw a proportion of their pension savings after their 55th birthday. For the identification, we employ a regression discontinuity design by comparing individuals before and after their 55th birthday. To address anticipated and lagged health impacts, we adopt the donut regression discontinuity approach. Using nationally representative monthly panel data, we find that early access to pension wealth improves self‐reported overall health.
Financial Knowledge And Portfolio Complexity In Singapore, Benedict S. K. Koh, Olivia S. Mitchell, Susann Rohwedder
Financial Knowledge And Portfolio Complexity In Singapore, Benedict S. K. Koh, Olivia S. Mitchell, Susann Rohwedder
Research Collection Lee Kong Chian School Of Business
Financial literacy in Singapore has not been analyzed in much detail, despite the fact that this is one of the world’s most rapidly aging nations. Using the Singapore Life Panel®, we explore older Singaporeans’ levels of financial knowledge and compare them to those observed in the United States. We assess portfolio complexity for these older households, to examine how financial literacy is related to outcomes of interest. We show that older Singaporeans’ levels of financial literacy are comparable overall to those in the United States, even though older Singaporeans score slightly lower on some dimensions (knowledge of interest and inflation), …
Do Short Sellers Use Textual Information? Evidence From Annual Reports, Hung Wan Kot, Frank Weikai Li, Ming Liu, K.C. John Wei
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.
Do Women Receive Worse Financial Advice?, Utpal Bhattacharya, Amit Kumar, Sujata Visaria, Jing Zhao
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.
The Promises And Perils Of Insurtech, Lin Lin, Christopher C. H. Chen
The Promises And Perils Of Insurtech, Lin Lin, Christopher C. H. Chen
Research Collection Yong Pung How School Of Law
The insurance sector, in riding the wave of the FinTech phenomenon, has been rapidly expanding, with a slew of firms having emerged to provide so-called “InsurTech” services. These services incorporate concepts such as blockchain, artificial intelligence, digitalisation and the sharing economy to various aspects of the insurance industry. This profusion of technology brings with it the promise of various benefits including increasing efficiency and lowering costs for not only insurers and intermediaries, but also businesses or consumers as end-users of insurance. However, the development of InsurTech comes with corresponding risks and regulatory concerns not currently accounted for by the traditional …
Digital Payments And Consumption: Evidence From The 2016 Demonetization In India, Sumit Agarwal, Pulak Ghosh, Jing Li, Tianyue Ruan
Digital Payments And Consumption: Evidence From The 2016 Demonetization In India, Sumit Agarwal, Pulak Ghosh, Jing Li, Tianyue Ruan
Research Collection School Of Economics
We study how consumer spending responds to digital payments, using the differential switch to digital payments across consumers induced by the sudden 2016 Indian Demonetization for identification. Usage of digital payments rose by 3.38 percentage points and monthly spending increased by 3% for an additional 10 percentage points in prior cash dependence. Spending remained elevated even when cash availability recovered. Robustness analyses show that the spending response is not driven by income shocks, credit supply, price changes, or consumers' moving to the formal market. We provide evidence that digital payments increase consumer spending due to subdued salience.
Stochastic Capacity Management In The Presence Of Production Resource Disruption, Boya Yang
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 …
Examining The Impact Of It Investment On Insurer Productivity: A Bootstrapped Malmquist Frontier Analysis Approach, Jee Yuen Yew
Examining The Impact Of It Investment On Insurer Productivity: A Bootstrapped Malmquist Frontier Analysis Approach, Jee Yuen Yew
Dissertations and Theses Collection (Open Access)
This paper attempts to examine productivity changes of insurance companies in Singapore as represented by bootstrapped Malmquist indices, generated from a data envelopment analysis (DEA)-based frontier analysis, and attribute these changes to an increasing investment in information technology infrastructure and equipment, and increasing investment in staff enhancement. Through this analysis, the author finds that there has been a general increase in productivity and efficiency from 2011 – 2017, as seen from changes in the kernel density functions of productivity change between the two periods. The author also finds, through running a panel tobit regression model, that there is a positive …
Stock Market Information And Security Prices, Haoyuan Li
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 …
Cross-Border Technology Investments In Recessions, Juliana Yu Sun, Huanhuan Zheng
Cross-Border Technology Investments In Recessions, Juliana Yu Sun, Huanhuan Zheng
Research Collection School Of Economics
Utilizing industry-level foreign direct investment (FDI) from 72 source markets to 122 destination markets between 2003 to 2018, we apply a differences-in-differences approach to evaluate the response of technology FDI to recessions. We find that research and development (R&D) intensive FDI drops when the destination market is in recession and the source market is in a normal state, and recovers to the pre-recession levels when both destination and source markets are in recession. The result is particularly pronounced in deep and long recessions, during the propagation stage of recessions, and in destination markets with stronger intellectual property protection, looser FDI …
Estimating The Benefits And Costs Of Forming Business Partnerships, Jungho Lee
Estimating The Benefits And Costs Of Forming Business Partnerships, Jungho Lee
Research Collection School Of Economics
I estimate a matching model of business‐partnership formation to quantify the relative importance of productivity gains, financing gains, and the coordination failure of effort provision (moral hazard) among partners. Productivity gains account for 61% of the gain from the observed partnerships. For partners in the first quartile of the wealth distribution, however, financing accounts for 93% of the gain. The cost of moral hazard corresponds to 42% of the entire gain from partnerships. A loan policy specifically targeting partnerships is less effective in improving welfare than a conventional loan policy that provides loans to individual entrepreneurs.
Three Essays On Financial Economics, Jiangyuan Li
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.
Essays On Heterogeneous Large Panel Data Models, Ke Miao
Essays On Heterogeneous Large Panel Data Models, Ke Miao
Dissertations and Theses Collection (Open Access)
This dissertation consists of three papers which contribute to the estimation and inference theory of the heterogeneous large panel data models. The first chapter studies a panel threshold model with interactive fixed effects. The least-squares estimators in the shrinking-threshold-effect framework are explored. The inference theory on both slope coefficients and the threshold parameter is derived, and a test for the presence of the threshold effect is proposed. The second chapter considers the least-squares estimation of a panel structure threshold regression (PSTR) model, where parameters may exhibit latent group structures. Under some regularity conditions, the latent group structure can be correctly …
Investing With Cryptocurrencies: A Liquidity Constrained Investment Approach, Simon Trimborn, Mingyang Li, Wolfgang Karl Hardle
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 …
A Behavioral Signaling Explanation For Stock Splits: Evidence From China, Chenyu Cui, Frank Weikai Li, Jiaren Pang, Deren Xie
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 …
Commentary: Where Does The Talent Pools Of Smes Come From?, T. Mandy Tham
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.
Why Commonality Persists?, Raja Velu, Zhaoque Zhou, Chyng Wen Tee
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 …
Time-Series Momentum: Is It There?, Dashan Huang, Jiangyuan Li, Liyao Wang, Guofu Zhou
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 …
Geography, Trade And Power-Law Phenomena, Pao-Li Chang, Wen-Tai Hsu
Geography, Trade And Power-Law Phenomena, Pao-Li Chang, Wen-Tai Hsu
Research Collection School Of Economics
This article reviews interrelated power-law phenomena in geography and trade. Given the empirical evidence on the gravity equation in trade flows across countries and regions, its theoretical underpinnings are reviewed. The gravity equation amounts to saying that trade flows follow a power law in distance (or geographic barriers). It is concluded that in the environment with firm heterogeneity, the power law in firm size is the key condition for the gravity equation to arise. A distribution is said to follow a power law if its tail probability follows a power function in the distribution’s right tail. The second part of …