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Articles 1 - 16 of 16
Full-Text Articles in Finance and Financial Management
Who Profits From Trading Options?, Jianfeng Hu, Antonia Kirilova, Gilbert Seongkyu Park, Doojin Ryu
Who Profits From Trading Options?, Jianfeng Hu, Antonia Kirilova, Gilbert Seongkyu Park, Doojin Ryu
Research Collection Lee Kong Chian School Of Business
We use account-level transaction data to examine trading styles and profitability in a leading derivatives market. Approximately 66% of active retail investors predominantly hold simple, one-sided positions in only one class of options, whereas institutional investors are more likely to use complex strategies. Hypothesizing that the complexity of trading styles reflects investors' skills, we examine the effect of options trading styles on investment performance. We find that retail investors using simple strategies lose to the rest of the market. For both retail and institutional investors, selling volatility is the most successful strategy. We conclude that these style effects are persistent …
Price Discovery On Decentralized Exchanges, Agostino Capponi, Ruizhe Jia, Shihao Yu
Price Discovery On Decentralized Exchanges, Agostino Capponi, Ruizhe Jia, Shihao Yu
Research Collection Lee Kong Chian School Of Business
Decentralized exchanges (DEXs) allow traders to express their willingness to pay for quick execution through a public priority fee bidding mechanism. This influences the trading strategy of informed traders and creates a distinct price discovery process on DEXs compared to centralized exchanges. We present empirical evidence that high-fee DEX trades contain more private information. Informed traders bid high fees not only to avoid execution risk from blockchain congestion, but also to compete for execution priority. Using a dataset of Ethereum mempool orders, we demonstrate that informed traders employ a ``jump bidding'' strategy, placing high initial bids to deter potential competitors.
Lessons From The Demise Of The Brent Crude Oil Futures Contract On The Singapore Exchange, Kuan Yong David Ding, Wui Boon Lim
Lessons From The Demise Of The Brent Crude Oil Futures Contract On The Singapore Exchange, Kuan Yong David Ding, Wui Boon Lim
Research Collection Lee Kong Chian School Of Business
This paper highlights the lessons drawn from the demise of the Brent Crude Oil futures contract that was traded on the Singapore Stock Exchange (SGX). We analyze the market microstructure of the contract prior to its failure—specifically, the number of trades, trading volume, open interest, bid–ask spread, and volatility. We find a steady decline in the mean volume, open interest, and number of trades as the contracts near their demise. The bid–ask spread of the contract also widens. Investigations of the mutual offset feature of the Brent Crude Oil futures contract between SGX and the International Commodity Exchange (ICE) provides …
Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al.
Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al.
Research Collection Lee Kong Chian School Of Business
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
Siphoned Apart: A Portfolio Perspective On Order Flow Segmentation, Markus Baldauf, Joshua Mollner, Bart Zhou Yueshen
Siphoned Apart: A Portfolio Perspective On Order Flow Segmentation, Markus Baldauf, Joshua Mollner, Bart Zhou Yueshen
Research Collection Lee Kong Chian School Of Business
We study liquidity supply in fragmented markets. Market makers intermediate heterogeneous order flows, trading off spread revenue against inventory costs. Applying our model to payment for order flow (PFOF), we demonstrate that portfolio-based considerations of inventory management incentivize market makers to segment retail orders by siphoning them off-exchange. Banning order flow segmentation reduces total welfare, can make trading more costly for all investors, and can resolve a prisoner's dilemma among market makers. These results differentiate our inventory-based model from the existing information-based theories of PFOF.
Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta
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 …
What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang
What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang
Research Collection Lee Kong Chian School Of Business
This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in- and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.
Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo
Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo
Research Collection Lee Kong Chian School Of Business
Hedge fund teams with heterogeneous educational backgrounds, academic specializations, work experiences, genders, and races, outperform homogeneous teams after adjusting for risk and fund characteristics. An event study of manager team transitions, instrumental variable regressions, and an analysis of managers who simultaneously operate solo- and team-managed funds address endogeneity concerns. Diverse teams deliver superior returns by arbitraging more stock anomalies, avoiding behavioral biases, and minimizing downside risks. Moreover, diversity allows hedge funds to circumvent capacity constraints and generate persistent performance. Our results suggest that diversity adds value in asset management. Authors have furnished an Internet Appendix, which is available on the …
Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang
Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang
Research Collection Lee Kong Chian School Of Business
We confirm prior evidence that bonds on average are offered at prices below their immediate post-offer secondary market prices. However, in cases where banks lead–manage their own bond offerings the underpricing is significantly less as compared with other non-self-marketed offerings. These findings are robust across various matched samples and selection models. Our results suggest that the bond offering process is characterized by substantive agency conflicts between shareholders of corporations (issuers) and underwriters.
Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong
Shadow Bank, Risk-Taking, And Real Estate Financing: Evidence From The Online Loan Market, Xiaoying Deng, Chong Liu, Eng Seow Ong
Research Collection Lee Kong Chian School Of Business
This paper examines whether and how individual risk-taking behavior affects real estate financing through shadow banks. Using the loan data from an online platform in China, we show that riskier households tend to employ online loans to meet the increasing down-payment in their home purchase. Individual investors are likely to fund riskier real estate loans with higher expected returns. Real estate loans experience higher ex-post default rates than other types of loans. The effect is more pronounced during the period of credit constraints.
Market For Manipulable Information, Hui Chen, Jian Sun
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 …
Climate Change Concerns And Mortgage Lending, Tinghua Duan, Frank Weikai Li
Climate Change Concerns And Mortgage Lending, Tinghua Duan, Frank Weikai Li
Research Collection Lee Kong Chian School Of Business
We examine whether beliefs about climate change affect loan officers’ mortgage lending decisions. We show that abnormally high local temperature leads to elevated attention to and belief in climate change in a region. Loan officers approve fewer mortgage applications and originate lower amounts of loans in abnormally warm weather. This effect is stronger among counties heavily exposed to the risk of sea-level rise, during periods of heightened public attention to climate change, and for loans originated by small lenders. Additional tests suggest that the negative relation between temperature and approval rate is not fully explained by changes in local economic …
Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li
Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li
Research Collection Lee Kong Chian School Of Business
Using establishment-level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography-linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross-firm return predictability and is not easily attributable to risk-based explanations. It is more pronounced for focal firms that receive lower investor attention, are more costly to arbitrage, and during high sentiment periods. The cross-firm information spillovers and return predictability are also stronger for geographic peers with economic linkages and with positive information. Our results are broadly consistent with …
Derivatives And Market (Il)Liquidity, Shiyang Huang, Bart Zhou Yueshen, Cheng Zhang
Derivatives And Market (Il)Liquidity, Shiyang Huang, Bart Zhou Yueshen, Cheng Zhang
Research Collection Lee Kong Chian School Of Business
We study how derivatives (with nonlinear payoffs) affect the underlying assets liquidity. In a rational expectations equilibrium, informed investors expect low conditional volatility and sell derivatives to the others. These derivative trades affect different investors utility differently, possibly amplifying liquidity risk. As investors delta hedge their derivative positions, price impact in the underlying drops, suggesting improved liquidity, because informed trading is diluted. In contrast, effects on price reversal are ambiguous, depending on investors relative delta hedging sensitivity, i.e., the gamma of the derivatives. The model cautions of potential disconnections between illiquidity measures and liquidity risk premium due to derivatives trading.
On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle
On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle
Research Collection Lee Kong Chian School Of Business
Topic modeling and LDA (Latent Dirichlet Allocation) have proven valuable in various fields as an innovative approach to studying areas of interest and identifying topics in a dynamic content. The underlying assumption is that techniques like LDA can swiftly capture emerging topics in textual documents compared to other categorization tools. These unsupervised approaches have been used to identify new industries and technological domains. However, our study on the nascent topic of “sustainability” within the corpora of SGX-listed companies highlights clear limitations in employing techniques like LDA on sparse data. The dynamic LDA approach, also called DTM (Dynamic Topic Modelling),based on …
The Gender Effects Of Covid: Evidence From Equity Analysts, Frank Weikai Li, Baolian Wang
The Gender Effects Of Covid: Evidence From Equity Analysts, Frank Weikai Li, Baolian Wang
Research Collection Lee Kong Chian School Of Business
We use COVID-19 and sell-side analysts as an experiment to study the effects of gender on labor productivity. We find that the forecast accuracy of female analysts declined more than that of male analysts, especially when schools were closed and among analysts who were more likely to have young children, were inexperienced, were busier, or lived in southern states of the US. Relative to male analysts, females also reduced their forecast timeliness and resorted to more heuristic forecasts but did not reduce coverage or updating frequency. Relative to pre pandemic, female analysts’ careers were more negatively affected than male analysts’. …