经济学及金融学的统计和计量分析课程系列

The programme aims to provide students with fundamental knowledge of statistical and quantitative methods in analyzing financial data. It covers time value of money, descriptive statistics, probability and probability distributions, inferential statistics and regression. Computational tools will be used to assist solving the finance and statistics problems. This programme is suitable for students preparing for postgraduate studies in finance and investment disciplines.
 

The programme aims to provide students with contemporary knowledge of applied econometrics and financial modelling. It equips students with practical skills to perform econometric analysis and financial data analytics using computational tools. The programme also covers advanced regression techniques, high-frequency data analysis and financial risk modelling.
 

The programme aims to provide students with essential knowledge of econometrics and data analytics. It equips students with practical skills to perform statistical analysis, regression analysis, and data analytics using computational tools. The programme also illustrates the techniques of data visualisation, model building and forecasting.
 

The programme aims to provide students with elementary knowledge of time series analysis for financial data. It introduces basic time series models, models and tests for long-run relationships, volatility models and simultaneous equation models. Computational tools will be used to analyze time series and build financial models. This programme is suitable for students to prepare for postgraduate studies in finance and investment disciplines.
 

** 本課程旨在讓經理級人員、行政人員及策劃人員深入瞭解香港現有的統計資料，以及如何將這些資料應用於商業及預測上。 **
*(Class schedule will be given out upon one week prior to course commencement through by Email
時間表會在開課前一星期以電郵派發給學員。)