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傑出學人講座
Behavioral Finance
Prof Nicholas Barberis, Stephen and Camille Schramm Professor of Finance, Yale University; Visiting Professor of HKUST Jockey Club Institute for Advanced Study
日期 : 2016年 11月 16日 (星期三)
時間 : 上午10時30分 - 中午12時
地點 : 香港科技大學 李兆基校園 盧家驄薈萃樓 高研院演講廳
錄像及圖片集 詳情

Abstract

The field of behavioral finance tries to make sense of the behavior of investors, markets, and firms using frameworks that are psychologically more realistic than their predecessors. This talk offers an introduction to the field, covering some of the most important concepts – extrapolation, overconfidence, and prospect theory – as well as applications to understanding asset prices, portfolio choice, and corporate finance.

 

About the speaker

Prof Nicholas Barberis received his BA in Mathematics from Cambridge University in 1991 and his PhD in Business Economics from Harvard University in 1996. He had then taught at the Booth School of Business at the University of Chicago before he joined Yale School of Management in 2004, where he is currently the Stephen and Camille Schramm Professor of Finance.

Prof Barberis’s research is in the field of behavioral finance, in particular, on applications of cognitive psychology to understanding investor trading behavior and the pricing of financial assets. He has published extensively in the top economics and finance journals, gives frequent presentations about his work to both academic and non-academic audiences, and has won numerous awards for both research and teaching including the Yale SOM Alumni Association Teaching Award in 2006, 2009 and 2013, and the Jack Treynor Prize in 2014. He is also a Research Associate of the National Bureau of Economic Research in US and a Fellow of the Behavioral Economics Roundtable of the Russell Sage Foundation.

For attendees’ attention

 

  The lecture is free and open to all. Seating is on a first come, first served basis.
     
  Light refreshments will be served from 10:00 to 10:30 am.

 

 

HKUST Jockey Club Institute for Advanced Study
Enquiries: ias@ust.hk / 2358 5912
http://ias.ust.hk