Social and Behavioral Sciences Commons^™

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 …

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.

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.

Digital Wealth Management And Consumption: Micro Evidence From Individual Investments, Qian Gong, Mingyuan Ban, Yunjun Yu, Luying Wang, Yan Yuan

Research Collection Lee Kong Chian School Of Business

With the rapid advancement of digital finance in China, accessing wealth management services through digital platforms has become considerably convenient. However, the potential impact of digital platform investments on residents' consumption remains a relatively unexplored question. This study addresses this gap by leveraging a unique dataset obtained from one of China's largest fintech companies, encompassing individual-level data on consumption and investment. Our findings indicate that engaging in digital platform investments can indeed stimulate residents' consumption. Importantly, participation in digital platform investment has an inclusive effect, with a more pronounced marginal impact on consumption among low-income residents and in-dividuals residing in …

Estimating And Applying Autoregression Models Via Their Eigensystem Representation, Leo Krippner

Sim Kee Boon Institute for Financial Economics

This article introduces the eigensystem autoregression (EAR) framework, which allows an AR model to be specified, estimated, and applied directly in terms of its eigenvalues and eigenvectors. An EAR estimation can therefore impose various constraints on AR dynamics that would not be possible within standard linear estimation. Examples are restricting eigenvalue magnitudes to control the rate of mean reversion, additionally imposing that eigenvalues be real and positive to avoid pronounced oscillatory behavior, and eliminating the possibility of explosive episodes in a time-varying AR. The EAR framework also produces closed-form AR forecasts and associated variances, and forecasts and data may be …

Does Abstract Thinking Facilitate Information Processing? Evidence From Financial Analysts, Frank Weikai Li, Rong Wang, Yang Yu, Gloria Yang Yu

Research Collection Lee Kong Chian School Of Business

We study whether abstract thinking – an essential cognitive trait established by psychological and neuroscientific studies – facilitates analysts’ information processing. Exploiting analysts’ questions during earnings calls, we construct an Abstract Thinking Index (ATI) that measures their tendency to involve abstract words, logical reasoning, broader topics, and future outlooks. We find that abstract thinking improves analysts’ forecast accuracy and recommendation informativeness. Consistent with abstract thinking featuring identifying central characteristics and comprehending intangible things, ATI has stronger effects for firms with fundamentals co-moving more with peers and less tangible information. Additional analyses suggest that ATI captures analysts’ cognitive traits rather than …

What Drives The Value Of Financial Analysts’ Advice? The Role Of Earnings And Growth Forecasts, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach

Research Collection Lee Kong Chian School Of Business

We offer a parsimonious index at the individual analyst level to measure the extent to which an analyst relies on earnings and long-term growth forecasts in producing her advice. Using this index, we evaluate the contribution of earnings and growth forecasts to the investment value of analysts’ stock recommendations. We find that the fraction of analysts’ advice attributed to forecasts varies considerably across analysts and sectors. The investment value of recommendations is higher for analysts who rely less on their forecasts and more on other sources of information when forming investment advice. Investors recognize the superiority of recommendations from analysts …

The Cost Of Cheap Talk: How Campaign Promises And Default Contributions Affect Donation-Based Crowd Funding Success., Tianci Leon Qiu

Dissertations and Theses Collection (Open Access)

Non-profit organisations (NPOs) find it increasingly harder to engage donors and raise funds from the public. Post-pandemic: the emphasis on tactics to raise funds online through donation-based crowdfunding (DCF) platforms has surged in importance for both NPO survival and continued beneficiary aid. However, unlike equity-based crowdfunding platforms where campaign organisers are obligated to provide investors with tangible returns based on funding milestones, NPOs on DCF platforms do not have to adhere to any funding milestones or are beholden to any tangible obligations towards donors. Consequently, NPOs are greatly incentivised to deploy cheap talk – non-binding, unverifiable messages and claims to …

Seeking Better Sharpe Ratio Via Bayesian Optimization, Peng Liu

Research Collection Lee Kong Chian School Of Business

Developing an excellent quantitative trading strategy to obtain a high Sharpe ratio requires optimizing several parameters at the same time. Example parameters include the window length of a moving average sequence, the choice of trading instruments, and the thresholds used to generate trading signals. Simultaneously optimizing all these parameters to seek a high Sharpe ratio is a daunting and time-consuming task, partly because of the unknown mechanism determining the Sharpe ratio. This article proposes using Bayesian optimization to systematically search for the optimal parameter configuration that leads to a high Sharpe ratio. The author shows that the proposed intelligent search …

The Livingston Survey 2023, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al

Sim Kee Boon Institute for Financial Economics

The 15 participants in the June Livingston Survey predict higher output growth for the first half of 2023 than they predicted in the December 2022 survey. The forecasters, who are surveyed by the Federal Reserve Bank of Philadelphia twice a year, now project that the economy’s output (real GDP) will grow at an annual rate of 1.1 percent during the first half of 2023. They expect weaker conditions in the second half of 2023, when growth is expected to be at an annual rate of -0.7 percent. Both projections represent upward revisions from those of the December 2022 survey. Growth …

Female Ceos And Investment Efficiency In The Vietnamese Market, Jun Myung Song, Chune Young Chung

Sim Kee Boon Institute for Financial Economics

This paper proposes female CEOs’ overconfidence and risky behavior stem from gender stereotype threats. With two subsamples in Vietnam—firms in the Northern and Southern regions–we empirically show that female CEOs in the North, where there is less gender stereotype, tend to overinvest relative to male CEOs. However, in the South, they are indifferent. Additional analysis reinforces the main finding that female CEOs from the North tend to take more risks even when dealing with market volatility and uncertainty (e.g., the COVID-19 pandemic). Such risky behaviors of female CEOs in the North do not deteriorate firm value but instead, possibly improve …

Growing Up Under Mao And Deng: On The Ideological Determinants Of Corporate Policies, Hao Liang, Rong Wang, Haikun Zhu

Research Collection Lee Kong Chian School Of Business

Historically, economic activities have been organized around certain ideologies. We investigate the impact of politicians’ ideology on corporate policies by exploring a unique setting of ideological change—China from Mao to Deng around the 1978 economic reform—in a regression discontinuity framework. We find that the age discontinuity of politicians around 18 years old in 1978, who had already joined the Chinese Communist Party (CCP) or joined soon thereafter and later became municipal paramount leaders, has had a lasting effect on contemporary firm- and city-level policies. In particular, firms in cities with mayors that joined the CCP under the ideological regime of …

Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li

Research Collection School Of Economics

We generate new evidence on disagreement among traders in the S&P 500 options market from high-frequency intraday price and volume data. Inference on disagreement is based on a model where investors observe public information but agree to disagree on its interpretation; disagreement among investors is captured by the volume–volatility elasticity. For options, there are two natural variables related to disagreement: moneyness and tenor, which we relate to disagreement about the distribution of the market index at different quantiles and times. The estimated volume–volatility elasticity equals unity for options near the money and close to expiration, which is consistent with the …

An Empirical Research On The Financial Distress Risk In The Garden And Construction Industry, Jianlin Guan

Dissertations and Theses Collection (Open Access)

In recent years, the garden and construction industry has faced significant financial distressdue to the downward pressure on the macro economy. This financial distress not onlyposesrisks to the financial stability and management of enterprises but also has far-reachingimpactson society.

This paper utilizes various analytical methods such as case analysis, empirical analysis, andevent analysis to derive the following conclusions:(1)The participation of garden constructionindustry enterprises in public-private partnership (PPP) projects leads to increased financial distress.(2)The higher the debt ratio of the local government where listed gardenandconstruction enterprises are located, the greater the financial distress theyexperience.(3)Enterprises in the garden and construction industry, whose …

Survey Of Professional Forecasters 2023, Singapore Management University

Sim Kee Boon Institute for Financial Economics

Forecasters Maintain Their Expectations for Growth in 2023 The forecasters see the U.S. economy in 2023 expanding at the same pace as they predicted three months ago, according to 38 panelists surveyed by the Federal Reserve Bank of Philadelphia. The forecasters predict annual-average over annualaverage growth in real GDP of 1.3 percent in 2023, unrevised from their estimate of three months ago. The panelists are also maintaining their forecast for growth in the second quarter at an annual rate of 1.0 percent, unchanged compared with their previous projection. However, while their predictions for the second quarter and for 2023 remain …

Asset-Rich And Cash-Poor: Which Older Adults Value Reverse Mortgages?, Joelle H. Fong, Olivia S. Mitchell, Benedict S. K. Koh

Research Collection Lee Kong Chian School Of Business

Home equity represents a substantial share of retirement wealth for many older persons, particularly in Asia where national housing policies have encouraged home-ownership. This paper explored the potential for reverse mortgages to help 'asset-rich and cash-poor' older Singaporeans unlock their home equity while ageing in place. The empirical analysis was based on a nationally representative survey of home-owners age 50+ in the 2018 Singapore Life Panel (N = 6,258). Our analyses showed that the average older home-owner holds some 60 per cent of total net wealth in housing equity, suggestive of high demand potential for reverse mortgage products. Nevertheless, actual …

Cbdc: Context, Challenges, And Conditions For A Successful Adoption, Charlie Nhuc Hiang Lay

Dissertations and Theses Collection (Open Access)

Central bank digital currencies (CBDC) are the digital version of physical notes and coins. They are the latest milestone in the evolution of money over the centuries due to technological advancements. This digitalisation of physical money primarily serves as a medium of exchange that has a central bank anchor. There are two versions of CBDC, wholesale and retail. This thesis focuses on retail CBDC, which targets the general public and small daily transactions. It discusses the issues and the plausible implementation of a retail CBDC. A CBDC will preserve monetary sovereignty, foster financial stability, and counter private network effects, i.e., …

Liquidity Constraints, Consumption, And Debt Repayment: Evidence From Macroprudential Policy In Turkey, Sumit Agarwal, Muris Hadzic, Changcheng Song, Yildirim Yildiray

Research Collection Lee Kong Chian School Of Business

Using account-level credit card data from a large Turkish bank, we study the impact of a unique credit card policy that increases minimum payment on consumption and debt repayment. We show that the policy reduces credit card spending and debt, boosts existing debt repayment, and reduces credit card delinquency. The credit card debt of affected consumers falls on average by 50% two years into the policy’s implementation. An increase in minimum payment has a stronger effect than does a decrease of a similar magnitude. We build a benchmark life cycle model with soft liquidity constraint to explain the reduction in …

Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle

Sim Kee Boon Institute for Financial Economics

The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …

Steering Steadily In The Post-Pandemic World, Chartsiri Sophopanich, Chin Tiong Tan

Asian Management Insights

Chartsiri Sophonpanich, President of Bangkok Bank, speaks with Tan Chin Tiong about the future of banking in Thailand and the region as the world slowly emerges from the COVID-19 pandemic.

Price Comovement And Market Segmentation Of Chinese A- And H-Shares: Evidence From A Panel Latent-Factor Model, Yingjie Dong, Wenxin Huang, Yiu Kuen Tse

Research Collection School Of Economics

This paper examines the price comovement of cross-listed Chinese A- and H-shares using a panel model with latent factors and a heterogeneous long-run structure. Our model is more flexible than the cointegration system and is estimated using the data-driven Cup–Lasso method. The long-run H-share price discounts are heterogeneous across different groups of stocks. We have identified both stationary and nonstationary latent factors in the price differentials, which are driven by different economic variables. By analyzing the factor loadings of the nonstationary latent factor, we identify some trading-friction and information-friction variables that have effects on the price convergence between the A- …

Robowealth: Boosting Financial Inclusion In Thailand, Chiraphol N. Chiyachantana, David K. Ding, Pattarawan Mai Prasarnphanich, Chi Wei Chan

Asian Management Insights

Advanced fintech lowers barriers to investing.

Learning-Based Stock Trending Prediction By Incorporating Technical Indicators And Social Media Sentiment, Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho, Erik Cambria

Research Collection School Of Computing and Information Systems

Stock trending prediction is a challenging task due to its dynamic and nonlinear characteristics. With the development of social platform and artificial intelligence (AI), incorporating timely news and social media information into stock trending models becomes possible. However, most of the existing works focus on classification or regression problems when predicting stock market trending without fully considering the effects of different influence factors in different phases. To address this gap, this research solves stock trending prediction problem utilizing both technical indicators and sentiments of the social media text as influence factors in different situations. A 3-phase hybrid model is proposed …

Exchange-Traded Funds And Real Investment, Constantinos Antoniou, Frank Weikai Li, Xuewen Liu, Avanidhar Subrahmanyam, Chengzhu Sun

Research Collection Lee Kong Chian School Of Business

We investigate the link between exchange-traded funds and real investment. Cross-sectionally, higher ETF ownership is associated with an increased sensitivity of real investment to Tobin's q and a heightened ability of stock returns to forecast future earnings. Inclusion of stocks in industry ETFs enhances investment-q sensitivity and implies greater incorporation of earnings information into prices prior to public releases. Greater nonmarket ETF ownership leads to increased (reduced) reliance of real investment on own (peers') stock prices. Overall, the evidence is consistent with ETFs positively affecting real investment efficiency via greater flows of information.

Assessing The Odds Of A Us Recession, Thomas Lam, David Fernandez

Sim Kee Boon Institute for Financial Economics

In this commentary, SMU Sim Kee Boon Institute for Financial Economics (SKBI) Principal Researcher Thomas Lam and SKBI Director SMU Professor of Finance (Practice) Dave Fernandez offer their perspectives on the current multifaceted and highly charged US recession debate. While America is currently not in a downturn, the near-term odds of one have edged up, according to models based on key monthly and weekly indicators.

Are Markets Interested In Adapting To Climate? Insights From Singapore, Stella Whittaker, Tran Bao Phuong Nguyen

Sim Kee Boon Institute for Financial Economics

We have collected the views of leading practitioners and academics in Singapore involved in funding and financing urban climate change adaptation1 (thereon referred to as urban adaptation). Throughout this paper we discuss several vital perspectives on adaptation financing, namely responsibility for adaptation investment, the extent of government adaptation investment, private sector adaptation investment appetite and prospects for experimentation in adaptation financing. We also attempt to shed light on the existence or not of an adaptation financing gap2 in Singapore.

Impact Of Geographical Diversification And Limited Attention On Private Equity Fund Returns, Victor Ong

Research Collection Lee Kong Chian School Of Business

This article analyzes the effect of geographical diversification on global private equity (PE) fund returns. We find that there is a negative correlation between geographical diversification and PE fund returns. To establish the causality between geographical diversification and PE fund returns, we employ an instrumental variable analysis where the instrument used is the stock market capitalization of the host country where the PE fund is based. Our results apply to Net IRR, TVPI and DPI as dependent variables used to proxy for PE fund returns in the main regression model. A one standard deviation increase in geographical diversification results in …