AI and quantitative investment (Face-to-face) - HKU SPACE
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11
Jun 2022
(Sat)

AI and quantitative investment (Face-to-face)

Event of
Open SPACE 2022 (Face-to-face)
Subject
FinTech and Financial Intelligence

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Date & time
11Jun 2022 (Sat)15:45 - 16:45
Venue
Room 306, 3/F, Admiralty Centre, 18 Harcourt Road, Hong Kong
Fee
Free
Speaker
  • Dr Simon Yiu (IT Department Head of a financial institution)

Dr Simon Yiu

Dr Simon Yiu is the IT Department Head of a financial institution in Hong Kong, and has handled many FinTech initiatives and projects, such as Algo trading, finance big data analytics, Robo-advisors and so on. Before that, he also worked for AI, and Machine learning startup as co-founder and CTO located at a Hong Kong Science Park and participated at the University organized Entrepreneurship Center in 2010, focusing on AI, Machine Learning, Big Data analytics and Natural language processing. Furthermore, he has hands-on programming experiences in FinTech areas for over 10 years.

Enquiry
2867 8331 (finedec@hkuspace.hku.hk)
Relevant Programmes
Postgraduate Diploma in FinTech and Legal Regulations Executive Certificate in AI and Deep Learning in Quantitative Finance

With the continuous advancement of artificial intelligence and FinTech, investment analysts can apply computer coding to perform algorithmic trading. By analyzing financial data such as asset prices, trading volumes and so on, analysts can perform quantitative investments. Moreover, analysts can apply deep learning algorithms, analyze financial data and use historical data for back-testing to improve investment strategies and optimize investment models. In addition, trading algorithms can help investors avoid behavioural biases, investment errors, and facilitate high-frequency trading. The speaker wishes to share his professional knowledge and practical experience in algorithmic trading.

 

 

Medium of language: Cantonese

The School may make available related programme information material at the seminar.
The School reserves the right to alter or modify the schedule of the event if necessary or expedient.