AI and LLM for Finance: Optimizing Large Language Models for Chinese Stock Market Prediction and Investment Advisory for Retail Investors

Speaker:  Prof. Daniel Hua WANG
          International Business School
          Zhejiang University

Title:  "AI and LLM for Finance: Optimizing Large Language Models for
         Chinese Stock Market Prediction and Investment Advisory for
         Retail Investors"

Date:    Monday, 16 September 2024

Time:    4:00pm -5:00pm

Venue:   Lecture Theater F
         (Leung Yat Sing Lecture Theater)
         via lift 25/26, HKUST

Abstrat:

The Chinese stock market, characterized by high volatility, policy-driven
dynamics, and a significant number of retail investors, requires tailored
financial prediction and investment advisory tools. However, existing
financial large language models (LLMs) often lack the specificity needed
to address the unique tasks of the Chinese A-share market, such as
interpreting regulatory impacts, analyzing macroeconomic trends, and
providing actionable insights for retail investors. To bridge this gap, we
propose a domain-specific LLM and this approach not only enhances the
model's ability to perform a range of financial tasks but also
significantly reduces computational costs and lowers deployment
complexity. Our model is trained on a set of compliant, publicly available
datasets covering macroeconomic indicators, industry news, company
research reports, and key financial statement data from representative
A-shares of the Shanghai and Shenzhen Stock Exchanges, allowing it to
better capture the intricacies of China's stock markets. Preliminary
results indicate that our fine-tuned model offers an accessible and
efficient decision support tool for non-professional retail investors
navigating the Chinese financial landscape.


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Biography:

Prof. Daniel Hua WANG (PhD, CFA) is currently the Academic Director of the
Finance Program in the International Business School at Zhejiang
University. He has worked in both academia and financial institutions such
as investment banks with rich industrial and academic experiences in
Japan, United Kingdom, and China. Prof. Wang served as a research
consultant for the China Financial Futures Exchange, and has participated
in and been responsible for the research and development of financial
product listings, as well as multiple exchange and CSRC projects. He has
published numerous international journals and research articles in the
fields of financial markets, financial technology & regulation, and holds
numerous national invention patents.