|Date:||20 May 2019|
|Time:||12:30 pm - 2:00 pm|
HKUST Business School Central
15/F, Hong Kong Club Building,
3A Chater Road, Central, Hong Kong
Ms Angela Cheng
2358 5019 / email@example.com
by Prof. Rong ZHENG
In order to meet the reporting compliance set by the international exchange markets, financial market is increasingly flooded with company disclosure documents, analyst reports, data, news and rumors – how can investors stay focus in this tangle of information and make smart investment decisions? Prof. Zheng will introduce his research of forecasting a company's performance by machine learning. He extracts, processes and quantifies information from financial reports and company conference calls by machine learning and market responses. The result and analysis that found is beyond our expectation.
The AI Era: Investing with Algorithms
by Dr. Don HUANG
Artificial Intelligence (AI) and automation techniques are shaping the wealth management industry. By analyzing more comprehensive data sets and utilizing algorithms to tailor solutions to investors' needs more efficiently, assets managers can help their clients to invest more smartly and at a lower cost. With mounting pressure for financial institutions to reduce their commission rates, one of the hottest trends to emerge in recent years is the use of robo-advisors – algorithm-based investment platforms that automatically manage investors' portfolios with minimal human intervention.
Can Mathematics Clarify Mysteries in Art & Literature?
by Prof. WANG Yang
Classical art pieces and literatures are proven investment tools with good returns. But how can we know that art piece is the original? Mathematicians are also interested in this problem and eager to solve it. They estimate the age of an art piece by analyzing the artist's creative style with Mathematics Forensics and Stylometry which combines research of machine learning and randomization theory. Prof. Wang, a specialist in this area, will tell us how mathematics help settling down debates – and perhaps other potential arguments in the future.