Alfred Qi FAN
Postdoctoral Research Fellow
supervisor: Prof. Yingying Li
supervisor: Prof. Yingying Li
Research Interests: Asset Pricing, Behavioral Finance, Financial Econometrics
Retail Ebb and Flow and the Overnight–Intraday Return Gap
with Yongkil Ahn (SeoulTech), Don Noh (HKUST) and Stella Y. Park (Sogang)
Revise and Resubmit, Journal of Financial and Quantitative Analysis
This version: December, 2025 [SSRN]
Presentations: APAD 2025, FMA 2024, HARC 2024, CAFM 2023, AFBC 2023, AsianFA 2023
[Abstract] In most stock markets, average overnight returns substantially exceed average intraday returns. Using accurate and exhaustive investor-type-level flow data from Korea, we show that retail trading intensity drives this overnight–intraday return gap. We establish causality by instrumenting for retail trading proportion (RTP) with nominal share prices, which affect retail trading through accessibility constraints but carry no fundamental information. We attribute this relationship to the recurrent "retail ebb and flow": driven by sensation-seeking and illusion of control, retail investors seek daytime exposure by systematically net buying at the open and net selling at the close. Consistent with this mechanism, day trading concentrates among young, male investors using mobile and desktop platforms and intensifies following high volatility.
Expected Return in Night and Day: The Role of Trading Volume
with Zhiheng He (Renmin U of China)
This version: March, 2026 [SSRN]
Presentations: CIRF-CFRI 2024, CICF 2024, AFBC 2024, SoFiE 2025 (poster), NFA 2025
[Abstract] We document a novel high-volume overnight premium and intraday discount. Stocks with high trading volume exhibit remarkable future outperformance (underperformance) during the overnight (intraday) period. This phenomenon is highly persistent and prevalent across global equity markets. We rationalize such contrasting night-day effect using a model with information asymmetry. Driven primarily by the overconfidence of late-informed investors, the cycling belief dispersion peaks at market open and dissipates at close, with trading volume capturing the intensity of this dispersion. This mechanism is supported by high-frequency evidence that real-time idiosyncratic volatility, acting as a proxy for investor disagreement, decays over the intraday period.
Attention Drift: Salience Bias, Social Networks, and Predictable Returns
Solo-authored
This version: July, 2025 [PDF]
Presentations: AsianFA 2025, SMU Summer Camp, SUFE-DAFI
[Abstract] We document significant outperformance of stocks whose industry peers currently experience salient (attention-grabbing) gains, especially for those with strong social ties. The long-short strategy based on this effect can earn a risk-adjusted return of 12.5% (t = 5.58) per year. The pricing results differ from well-known cross-stock momentum and can’t be attributed to risk-based explanations. The effect is more pronounced when focal firms are more centered on social networks, or receive less attention, or are faced with greater limits of arbitrage. We argue that such peer-level underpricing is mainly due to the asymmetric effect of attention-induced price pressure from focal firm, as buying decisions of peer firms (due to salient outperformance) is more important than selling when investors has very limited attention.
On the Effective Business Model of ESG Ratings
with Hao Liang (SMU) and Chengshuang Zhang (SMU)
New draft coming soon
Presentations: CICF 2026 (scheduled)