Learning and the Capital Age Premium

UNIVERSITY OF TECHNOLOGY SYDNEY
Finance Department
Research Seminars in Finance

Topic: Learning and the Capital Age Premium

Speaker: Kai Li, Hong Kong University of Science and Technology

Abstract:  We introduce imperfect information and parameter learning into a production-based asset pricing model. Our model features slow learning about firms’ exposure to aggregate productivity shocks over time. In contrast to a full information case, our framework provides a unified explanation for the stylized empirical features of the cross-section of stocks that differ in capital age:  old capital firms (1) have  higher capital allocation efficiency; (2) are more exposed to aggregate productivity shocks and, hence, earn higher expected returns, which we refer to as capital age premium; and (3) have shorter cash-flow duration, when compared to young capital firms.

Date: Wednesday, 31 July 2019
Time: 12.00 – 1.00 p.m.
Venue: University of Technology, Sydney
               Building 8, Room 08.002, Dr Chau Chak Wing Building
               Dr Chau Chak Wing Building
              14 - 28 Ultimo Road, Ultimo

Co-ordinator: Claire Liu  (Ph: +61 2 9514 7748)

Enquiries: Mala Kapahi (Ph: +61 2 9514 7777)