Finance Commons^™

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 …

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

Key Success Factors Of Strategic Transformation For Sino-French Cooperation In The Development Of Third-Party Markets In Africa, Bin Wang

Dissertations and Theses Collection (Open Access)

The most popular form of third-party market cooperation is an innovative international economic and trade cooperation model initiated by China under the context of the “Belt and Road” initiative nowadays. Although China and France, as non-state actors, have actively promoted trilateral cooperation and improved various agreements, the trilateral countries have not achieved effective resource complementarity due to differences in political and economic systems and goals, resulting in high complexity in the cooperation process.

Therefore, the research topic of this study is dedicated to addressing this pain point and assisting Chinese enterprises in leveraging third-party markets to expand overseas business under …

Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li

Research Collection School Of Economics

We present a general framework for optimal nonparametric spot volatility estimation based on intraday range data, comprised of the first, highest, lowest, and last price over a given time-interval. We rely on a decision-theoretic approach together with a coupling-type argument to directly tailor the form of the nonparametric estimator to the specific volatility measure of interest and relevant loss function. The resulting new optimal estimators offer substantial efficiency gains compared to existing commonly used range-based procedures.

Robust Testing For Explosive Behavior With Strongly Dependent Errors, Yui Lim Lui, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A heteroskedasticity-autocorrelation robust (HAR) test statistic is proposed to test for the presence of explosive roots in financial or real asset prices when the equation errors are strongly dependent. Limit theory for the test statistic is developed and extended to heteroskedastic models. The new test has stable size properties unlike conventional test statistics that typically lead to size distortion and inconsistency in the presence of strongly dependent equation errors. The new procedure can be used to consistently time-stamp the origination and termination of an explosive episode under similar conditions of long memory errors. Simulations are conducted to assess the finite …

Market For Manipulable Information, Hui Chen, Jian Sun

Research Collection Lee Kong Chian School Of Business

We study how investors, firms, and information sellers interact in a market with manipulable information. To better predict the firm characteristics they care about, investors can buy a score from a monopolistic information seller, which aggregates signals that are subject to firm manipulation. The average degree of signal manipulability has no effect on the equilibrium, while the uncertainty about manipulability becomes a new source of noise. Its contribution depends on firms' incentive to manipulate the signals, which in turn depends on the equilibrium price sensitivity to the score. The optimal design of the score weighs signal precision against the endogenous …

Modelling Sentiment And Trader Aggressiveness In Cryptocurrency Markets: An Empirical Analysis Of The Bitcoin Limit Order Book., Angelique Nicole Huei Yin Thang

Dissertations and Theses Collection (Open Access)

Cryptocurrency assets are inherently susceptible to social sentiment. Due to emotional contagion, extreme emotions influence and drive traders’ order execution behaviour. This study aims to empirically model the relationship between sentiment and trader aggressiveness for two types of traders: Whales and Retails. Additionally, I uncover the mediating roles of momentum, mean reversion, and market timing underpinning the dynamics of the off-chain Bitcoin market. Time series data collected from the Coinbase level 3 Bitcoin limit order book is first reconstructed to access its core structure. Next, sentiment data from Reddit is extracted and processed using an internal Natural Language Processing pipeline. …

The Relationship Between Reits Industry Characteristics And Project Performance: The Moderating Role Of Macroeconomic Fluctuations, Ying Cai

Dissertations and Theses Collection (Open Access)

As a distinct investment vehicle, Publicly Listed Real Estate Investment Trusts (REITs) projects enable real estate projects to be listed on the stock market. This study begins with the industry attributes of the underlying assets of Publicly Listed REITs projects. Using econometric methods, it analyzes the variances in market performance between growth and defensive REITs, based on annual data from 1,674 REITs products in the United States from 2005 to 2022 and 27 listed REITs in China from Q3 2021 to Q1 2023. The study also leverages the data from China to explore the moderating effects of macroeconomic factors such …

Monetary Transmission And Government Investment In China, Qian Han, Zhaogang Song, Yufei Yuan, Yuanhang Zhao

Research Collection Lee Kong Chian School Of Business

The quantity measure of money supply—the M2 growth, in particular—has been used as the intermediate target of monetary policy in China since 2000. We document three findings on the transmission of money supply shocks to firm investment and financing over the period from 1998 to 2016. First, positive money supply shocks have significant negative effects on firm investment and do not have consistent impacts on firm financing, contradicting the standard monetary transmission mechanism. Second, using short-term global capital flows as an exogenous money supply factor, we recover the standard positive effect of money supply shocks on firm investment and financing, …

Dynamic Factor Copula Models With Estimated Cluster Assignments, Dong Hwan Oh, Andrew John Patton

Research Collection School Of Economics

This paper proposes a dynamic multi-factor copula for use in high-dimensional time series applications. A novel feature of our model is that the assignment of individual variables to groups is estimated from the data, rather than being pre-assigned using SIC industry codes, market capitalization ranks, or other ad hoc methods. We adapt the k-means clustering algorithm for use in our application and show that it has excellent finite-sample properties. Applying the new model to returns on 110 US equities, we find around 20 clusters to be optimal. In out-of-sample forecasts, we find that a model with as few as five …

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, …

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.

Information Loss In Volatility Measurement With Flat Price Trading, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A model of financial asset price determination is proposed that incorporates flat trading features into an efficient price process. The model involves the superposition of a Brownian semimartingale process for the effcient price and a Bernoulli process that determines the extent of price trading. The approach is related to sticky price modeling and the Calvo pricing mechanism in macroeconomic dynamics. A limit theory for the conventional realized volatility (RV) measure of integrated volatility is developed. The results show that RV is still consistent but has an inflated asymptotic variance that depends on the probability of flat trading. Estimated quarticity is …

Financial Crisis And Female Entrepreneurship: Evidence From South Korea, Jungho Lee, Sunha Myong

Research Collection School Of Economics

We document a drastic increase in female-owned manufacturing firms in South Korea after the 1997 financial crisis. During the crisis, a major banking sector reform was conducted, and many underperforming bank branches were forced to close down. Using a geographical variation of bank branch closures during the reform, we show that the banking sector reform resulted in a rise in female entrepreneurship. We present evidence that male-owned firms were preferred by the closeddown bank branches, despite female-owned firms exhibiting lower risks and higher returns. The banking sector reform, although not explicitly aimed at addressing gender disparities, substantially benefited female entrepreneurs …

Do Government Subsidies Promote Green R&D Efficiency? Empirical Evidence From China, Huimin Wu

Dissertations and Theses Collection (Open Access)

How to evaluate the effects of government policy on encouraging innovations? Existing studies strongly argue to reduce subsidies compared to indirect policy tools, such as tax rebate. However, direct government grants are popular and keep gaining momentum in China. Such a discrepancy between academic research and common practice is interesting and calls for further investigations. In the meantime, is there any difference for this issue if considering green attributes? In this article, we use data from Chinese A-share listed companies to study the effect of government subsidies on R&D activities, with a special focus on comparing green and non-green inventions. …

Does The Federal Reserve Obtain Competitive And Appropriate Prices In Monetary Policy Implementation?, Yu An, Zhaogang Song

Research Collection Lee Kong Chian School Of Business

Many of the Federal Reserve’s (the Fed’s) monetary policy operations involve trading with primary dealers. We find that, for agency MBS, dealers charge 2.5 cents (per $100 face value) higher selling to the Fed than to non-Fed customers. Controlling for the same dealer, same security, and same trading time, this discriminatory pricing likely arises from dealers’ market power rather than inventory costs. Further, matching trade size reduces the price differential by more than half, implying that dealers’ market power greatly relates to the Fed’s purchases in large amounts, whereas the Fed’s limited breadth of counterparty choice also plays some role.

How To Understand China's Approach To Central Bank Digital Currency?, Heng Wang

Research Collection Yong Pung How School Of Law

China's central bank digital currency (CBDC), digital yuan or e-CNY, is likely to profoundly affect the international financial system. China's CBDC is fast evolving. Understanding the influencing factors of China's CBDC will likely be crucial to explore its future direction. Major influencing factors include (i) China's perception and conception of regulation and technology, (ii) complementarity between China's preferences and CBDC development, (iii) domestic and international legitimacy, and (iv) institutional development. This paper argues that these influencing factors contribute to China's likely approach of selectively reshaping the international financial system. Given the potential wide-ranging implications of the introduction of CBDC globally, …

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 …

Do Hacker Groups Pose A Risk To Organizations? Study On Financial Institutions Targeted By Hacktivists, Mikko Samuli Niemelae

Dissertations and Theses Collection (Open Access)

Publication date: 5 September 2023

In the digital era, technological progress has been shadowed by an escalation in cybersecurity threats, notably impacting the financial sector. This research critically examines the influence of hacktivist campaigns—particularly those led by groups like Anonymous—on the cyber exposure of financial services firms listed on the NYSE. Employing Synthetic Controls and analyzing 22 treated firms, the study found that such campaigns significantly enhance the target institutions' deep and dark web exposure, with an average increase of 65% per annum in the subsequent two years from the campaign initiation. Crucially, smaller firms display a heightened susceptibility to …

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 …

Housing Fever In Australia 2020-23: Insights From An Econometric Thermometer, Shuping Shi, Peter C. B. Phillips

Research Collection School Of Economics

Australian housing markets experienced widespread and, in some cases, extraordinary growth in prices between 2020 and 2023. Using recently developed methodology that accounts for fundamental economic drivers, we assess the existence and degree of speculative behaviour, as well as the timing of exuberance and downturns in these markets. Our findings indicate that speculative behaviour was indeed present in six of the eight capital cities at some time over the period studied. The sequence of events in this nation-wide housing bubble began in the Brisbane market and concluded in Melbourne, Canberra, and Hobart following the interest rate rise implemented by the …

Investment And The Long Swings Of Unemployment, Hian Teck Hoon, Margarita Katsimi, Gylfi Zoega

Research Collection School Of Economics

We estimate the medium-term relationship between investment and unemployment over the period 1960–2017 in 20 OECD countries, a period that includes the years of the Great Recession. While neoclassical growth theory typically assumes full employment—with no effect of investment on unemployment—and New-Keynesian models assume that such a relationship only exists in the short term at business cycle frequencies, we find that over our sample period covering more than 5 decades, a statistically significant negative relationship does exist: in decades when investment fell, unemployment increased. Panel estimation, using a measure of stock market volatility as an instrument for investment, confirms the …

Bootstrapping Two-Stage Quasi-Maximum Likelihood Estimators Of Time Series Models, Sílvia Gonçalves, Ulrich Hounyo, Andrew John Patton, Kevin Sheppard

Research Collection School Of Economics

This article provides results on the validity of bootstrap inference methods for two-stage quasi-maximum likelihood estimation involving time series data, such as those used for multivariate volatility models or copula-based models. Existing approaches require the researcher to compute and combine many first- and second-order derivatives, which can be difficult to do and is susceptible to error. Bootstrap methods are simpler to apply, allowing the substitution of capital (CPU cycles) for labor (keeping track of derivatives). We show the consistency of the bootstrap distribution and consistency of bootstrap variance estimators, thereby justifying the use of bootstrap percentile intervals and bootstrap standard …

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 …

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 …

Essays On Stakeholder Economy, Hanyu Zhang

Dissertations and Theses Collection (Open Access)

The dissertation consists of two chapters on stakeholder economy. It looks at how firms interact with the stakeholders, including not only investors, employees, customers, governments, but also the broader community and society at large, and examines how such interactions affect corporate behavior in China and the global setting. The first chapter studies how societal culture shapes firm behavior and growth by analyzing the trade-off of relying on trust in acquiring stakeholder resources, and testing with data on the number of historic Confucian schools surrounding a current firm’s location in China. Companies more exposed to Confucianism have greater social contributions and …

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 …

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., …

Consumer Reaction To The Use Of Artificial Intelligence Chatbot On Distribution Of General Insurance In Singapore, Lai Hing Tan

Dissertations and Theses Collection (Open Access)

As technology rapidly permeates all aspects of our lives, it is not unusual to question and even challenge the rationale on why certain industries are slower to adapt to the new digital age. Insurance is a business that is under scrutiny given its traditional ways of selling and legacy challenges. Why is technology investment in insurance companies lagging others? One emerging technological disruption is artificial intelligence (AI). It is the science of designing and building intelligent systems that can complete tasks traditionally performed by humans. AI is expected to fundamentally transform today’s marketplace, for businesses and consumers alike. However, because …