This subject focuses on the underpinning quantitative concepts and techniques required in today’s financial markets to interpret and forecast financial data. This firstly includes discussion of fundamental statistical concepts with specific reference to their financial application, and then explores hypothesis testing, linear regression and time-series analysis. It utilises these quantitative tools to assess elements in finance such as risk and return, asset pricing and portfolio construction. Using the key data analysis and modelling techniques covered, students interpret various types of financial information, including economic, business and investment performance data, in order to develop practical quantitative strategies that may be applied in industry. Students also read and critique articles in financial journals, including validating methodologies and conclusions. For more information, please refer to the subject outline.