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)

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.