A Flow-Based Explanation for Return Predictability

نویسندگان

  • Dong Lou
  • Lauren Cohen
  • Andrew Metrick
  • Peter Tufano
  • Jinghua Yan
چکیده

This paper proposes and tests a flow-based explanation for three important empirical findings on return predictability – the persistence of mutual fund performance, the “smart money” effect, and stock price momentum. Since mutual fund managers generally scale up or down their existing positions in response to investment flows, and since the portfolios of funds receiving capital generally differ from the portfolios of funds losing capital, investment flows can cause significant demand shocks in individual stocks. Meanwhile, since fund flows are predictable from past fund performance and past fund flows, flow-induced price pressure is also predictable. This paper further shows that such flow-based return predictability can fully account for mutual fund performance persistence and the “smart money” effect, and can partially explain stock price momentum. These findings have implications both for asset pricing theories and mutual fund performance evaluation. ∗I am indebted to my advisors Nick Barberis and Will Goetzmann, and to Lauren Cohen, Andrew Metrick, Antti Petajisto, and Paul Tetlock for encouragement and valuable discussions. I also thank Zhiwu Chen, Judy Chevalier, James Choi, Kai Du, Pingyang Gao, Dasol Kim, Stefan Lewellen, Peter Tufano, Jinghua Yan, and seminar participants at Yale and Tykhe Capital for helpful comments. All remaining errors are my own. †P.O. Box 208000, New Haven, CT 06520-8000. Email: [email protected]

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigating Predictability of Different "Forms of Return" in Tehran Stock Exchange: Some Rolling Regressions-based Evidence

This paper has provided "out of sample" evidence of stock returns predictability in Tehran Stock Exchange. 68 qualified companies over the period from 2002 to 2015 were selected and for five different "forms of returns", five superior predictive models have been designed by applying "General to specific" approach of modeling technique. Then "out of sample" analysis, based on rolling regressions...

متن کامل

Predictability of Returns and Cash Flows ∗ Ralph

We review the literature on return and cash flow growth predictability form the perspective of the present-value identity. We focus predominantly on recent work. Our emphasis is on U.S. aggregate stock return predictability, but we also discuss evidence from other asset classes and countries. JEL classification: G10, G12, G14, G35.

متن کامل

Dynamic return predictability in the Russian stock market

Article history: This paper explores whether the relevance of a conditional multifacReceived 12 July 2012 tor model and autocorrelation in predicting the Russian aggregate Received in revised form 2 October 2012 stock return fluctuates over time. The source of return predictability is Accepted 16 December 2012 shown to vary considerably with information flow. In general, Available online 22 Dec...

متن کامل

Return Value Predictability Profiles for Self-healing

Current embryonic attempts at software self–healing produce mechanisms that are often oblivious to the semantics of the code they supervise. We believe that, in order to help inform runtime repair strategies, such systems require a more detailed analysis of dynamic application behavior. We describe how to profile an application by analyzing all function calls (including library and system) made...

متن کامل

تحلیل و پیش‌بینی اثرات غیرخطی در بازار نفت

This research aims to introduce an ideal model for forecasting Iranian crude oil price movements. It tries to make an all-out analysis of this energy product. Therefore, we tested the ‘predictability’ hypothesis by using the variance ratio test, BDS test and the chaos series test. Later, a structural analysis is a carried out to investigate possible nonlinear patterns in the series. Lyapunov ex...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009