We provide a psychological explanation for the delayed price response to news about economically linked firms. We show that the return predictability of economically linked firms depends on the nearness to the 52-week high stock price. The interaction between news about economically linked firms and the nearness to the 52-week high can partially explain the underreaction to news about customers, geographic neighbors, industry peers, or foreign industries. We also find that analysts react to news about economically linked firms but the 52-week high effect reduces such reactions, providing direct evidence that the 52-week high affects the belief-updating process.
Academic & Professional Qualification
- Ph.D., London School of Economics and Political Science
- M.A., Tsinghua University
- B.A., Tsinghua University
Dr. Shiyang HUANG received his Ph.D. degree in finance from the London School of Economics in 2015. He also holds a master degree and a bachelor degree in economics from Tsinghua University. He joined The University of Hong Kong in 2015.
Shiyang’s research agenda focuses on financial economics and empirical asset pricing. He has published research papers in several academic journals including Journal of Financial Economics, Management Science and Journal of Economic Theory. He also won the best paper awards at academic conferences, including Best Paper Award at 7th Melbourne Asset Pricing Meeting, Conference Best Paper Award at China International Conference in Finance of 2019, Best Paper Award at 14th Annual Conference in Financial Economics Research by Eagle Labs (IDC) of 2017, Yihong Xia Best Paper Award at hina International Conference in Finance of 2015, Conference Best Paper Award at Paris December Finance Meeting of 2014, IdR QUANTVALLEY / FdR Quantitative Management Initiative Research Award of 2013.
For a full and up-to-date profile, please visit http://www.fbe.hku.hk/~huangsy/
- Financial Economics
- Asset Pricing
- Information Economics
- “Informed Trading in Government Bond Markets” (with Robert Czech, Dong Lou and Tianyu Wang), Journal of Financial Economics, forthcoming
- “Psychological Barrier and Cross-firm Return Predictability” (with Tse-Chun Lin and Hong Xiang), Journal of Financial Economics, 142(1), 2021, 338-356
- “The Rate of Communication” (with Byoung-Hyoun Hwang and Dong Lou), Journal of Financial Economics, 141(2), 2021, 533-550
- “Speed Acquisition” (with Bart Zhou Yueshen), Management Science, 67(6), 2021, 3492-3518
- “Public Market Players in the Private World: Implications for the Going-Public Process” (with Yifei Mao, Cong (Roman) Wang and Dexin Zhou), The Review of Financial Studies, 34(5), 2021, 2411-2447
- “Innovation and Informed Trading: Evidence from Industry ETFs” (with Maureen O’Hara and Zhuo Zhong), The Review of Financial Studies, 34(3), 2021, 1280-1316
- “Offsetting Disagreement and Security Prices” (with Byoung-Hyoun Hwang, Dong Lou and Chengxi Yin), Management Science, 66(8), 2020, 3444-3465
- “Institutionalization, Delegation, and Asset Prices” (with Zhigang Qiu and Liyan Yang), Journal of Economic Theory, 186, 2020, 104977
- “Attention Allocation and Return Co-movement: Evidence from Repeated Natural Experiments” (with Yulin Huang and Tse-Chun Lin), Journal of Financial Economics, 132(2), 2019, 369-383
We study the transmission of financial news and opinions through social interactions among retail investors in the United States. We identify a series of plausibly exogenous shocks, which cause “treated investors” to trade abnormally. We then trace the “contagion” of abnormal trading activity from the treated investors to their neighbors and their neighbors’ neighbors. Coupled with methodology drawn from epidemiology, our setting allows us to estimate the rate of communication and how it varies with the characteristics of the underlying investor population.
Disrupt your traditional perception to ETFs – Discover how short interest of ETFs benefits the stock market
While some criticises that traditional ETFs are too passive in reflecting market signals, research from Dr. Shiyang Huang, Associate Professor in Finance, HKU Business School and his team shows that Industry ETFs are able to hedge the industry and play a great role in improving market efficiency in the US market. The Industry ETF was proven as a positive financial innovation for both investors and the market and therefore should be encouraged by regulators.
We investigate the effect of pre-IPO investments by public market institutional investors (institutions) on the exit of venture capitalists (VCs). Results indicate that institutions’ pre-IPO investments reduce IPO underpricing by mitigating VCs’ reliance on all-star analysts to boost market liquidity. We conclude that institutions facilitate VC exits in the secondary market. Supporting this view, our analysis reveals that the presence of institutions allows VCs to exit with a reduced price impact in the secondary market. Consistent with the ease of exit, VCs offer fewer shares at the IPO and are more likely to invest in institutionally backed startups.
We empirically examine the impact of industry exchange-traded funds (IETFs) on informed trading and market efficiency. We find that IETF short interest spikes simultaneously with hedge fund holdings on the member stock before positive earnings surprises, reflecting long-the-stock/short-the-ETF activity. This pattern is stronger among stocks with high industry risk exposure. A difference-in-difference analysis on the ETF inception event shows that IETFs reduce post-earnings-announcement drift more among stocks with high industry risk exposure, suggesting that IETFs improve market efficiency. We also find that the short interest ratio of IETFs positively predicts IETF returns, consistent with the hedging role of IETFs.
We propose that investor beliefs frequently “cross” in the sense that an investor may like company A but dislike company B, whereas another investor may like company B but dislike company A. Such belief-crossing makes it almost impossible to construct a portfolio that is composed solely of every investor’s most favored companies. This causes the level of excitement for portfolios to be generally lower than the levels of excitement that individual companies generate among their most fervent supporters. Coupled with short-sale constraints, wherein prices are set by the most optimistic investors, this causes portfolios to trade at discounts. Utilizing several settings whereby the value of a portfolio and the values of the underlying components can be evaluated separately (e.g., closed-end funds), we present evidence supporting our proposition that, in financial markets, the “whole” is often less than the “sum of its parts.”
We study the effects of institutionalization on fund manager compensation and asset prices. Institutionalization raises the performance-sensitive component of the equilibrium contract, which makes institutional investors effectively more risk averse. Institutionalization affects market outcomes through two opposing effects. The direct effect is to bring in more informed capital, and the indirect effect is to make each institutional investor trade less aggressively on information through affecting the equilibrium contract. When there are many institutions and little noise trading in the market, the indirect contracting effect dominates the direct informed capital effect in determining market variables such as the cost of capital, return volatility, price volatility, and market liquidity. Otherwise, the direct informed capital effect dominates.
We hypothesize that when investors pay less attention to financial markets, they rationally allocate relatively more attention to market-level information than to firm-specific information, leading to increases in stock return co-movements. Using large jackpot lotteries as exogenous shocks that attract investors’ attention away from the stock market, we find supportive evidence that stock returns co-move more with the market on large jackpot days. This effect is stronger for stocks preferred by retail investors and is not driven by gambling sentiment. We also find that stock returns are less sensitive to earnings surprises and co-move more with industries on large jackpot days.