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One of the fundamental roles of financial institutions is to manage risks. Risk management often makes assumptions on an underlying distribution of events and relies on statistical inference models to assess their impact. However, in social and economic settings, we often do not know the distribution of events. Even if we know the historical distribution of market returns, there is no way to be sure that the distribution of future returns will remain the same.

Based on his research, Prof. Michael Zhang reveals that uncertainty can be decomposed into pure risk (outcome uncertainty), pure ambiguity (distribution uncertainty), and their interactions. His research results have great implications on black swan events and fat-tailed distributions which are particularly pressing in the market with quantitative models and the future application of artificial intelligence.

With decades of experiences in risk assessment, Mr. Patrick Ip will share his insights on the practical measures we can take to minimize potential risks, with real-life examples of past black swan events.

Speakers:

Prof. Michael Zhang Xiao-quan

Associate Dean (Innovation and Impact)

Associate Director, Hong Kong-Shenzhen Finance Research Centre

CUHK Business School

Mr. Patrick Ip Koon-tung

Managing Director

Jiufu Group

Time:

12:00-12:30pm

Registration and Networking

(Light refreshments will be served.)

12:30-1:45pm

Presentation and Q&A

Language: 

English

Fees:

HK$200 per participant; 

HK$150 for CUHK Business School alumni and students

Please register and complete the online payment on or before 8 May 2019 (Wednesday). Successful registrants will receive a confirmation email within 3 working days. Once registration has been confirmed, no cancellations or refunds will be entertained. 

Ms. Maggie Ching
Tel: +852 3943 4718
Email: maggieching@baf.cuhk.edu.hk