High-performance Machine Learning Models for Financial Forecasting

Reliable long-term and short-term financial performance predictions are crucial for financial corporations to make major financial decisions and assess their financial health. Our work will develop high-performance machine learning models to detect the underlying drivers of various financial affairs such as balance, revenue, expense and cash flow, etc. And effectively using these key features to forecast future financial results which will help to improve decision making accuracy of the partner organization. Thus, improves various financial performances of our partner corporation. The well trained Artificial Intelligent Machine Learning models help understand complex financial time series data that affect the financial performance, and continuously updated according to the real time series data to achieve a sustainable financial growth both in the short-term and long-term.

Faculty Supervisor:

Linglong Kong

Student:

Partner:

ATB Financial

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Alberta

Program: