Event

Rewriting Expected Returns

  • Wed 19 Nov 25

    12:30 - 13:45

  • Online

    Zoom (email for link)

  • Event speaker

    Dr Xiao Han, Bayes Business School

  • Event type

    Lectures, talks and seminars

  • Event organiser

    Essex Finance Centre

  • Contact details

    Dr Mehmet Furkan Karaca

The Essex Finance Centre (EFiC) warmly invites you to join the research seminar with Dr Xiao Han from Bayes Business School.

We develop an equilibrium framework that shows how investor flows can “rewrite returns” by re-pricing the cross-section of stocks. The model enforces market clearing and yields a transparent, near-closed-form approximation of how reallocations—both their source and destination—affect prices and expected returns.

We validate the framework against realised outcomes, finding a near one-to-one correspondence between model-implied price changes and empirically observed return effects, both in the full sample and in the quasi-experimental Morningstar rating reform of 2002. This validation demonstrates that the approximation is empirically well grounded and suitable for counterfactual analysis.

Applying the framework to value and momentum, we show that large reallocations from growth to value funds could eliminate the value premium while amplifying momentum, whereas equally sized inflows from households generate more muted effects. Because such extreme reallocations far exceed typical flow magnitudes, anomalies persist despite their fragility to capital crowding. The framework provides a tractable tool for stress-testing how capital flows reshape asset prices.

Speaker

Xiao Han is a Senior Lecturer (Assistant Professor) in Finance at Bayes Business School (formerly Cass). He obtained a PhD in Finance from the University of Edinburgh in 2021. He holds a Higher Education Fellowship in the UK. He has previously held visiting positions in various institutions such as Wharton School, Peking University, and Shanghai University of Finance and Economics.

His research focuses on three main areas: (i) subjective expectations of investors and asset pricing, (ii) financial institutions and demand system-based asset pricing, and (iii) machine learning, textual Analysis, big data, and fintech. His research has been published in leading finance journal such as Journal of Financial Economics and Review of Financial Studies.