This module covers a wide range of econometric technique used for empirical investigation in the area of financial economics. Students are introduced to econometric techniques reported in recent empirical findings based on asset pricing, financial intermediation and corporate finance models. This applied module includes a selection of the following topics: multivariate regression, maximum likelihood and methods of moments estimation, hypothesis testing, omitted variables and misspecification, asymptotic theory, measurement error and instrumental variables, difference-in-difference estimation, regression discontinuity designs, time-series modelling, volatility modelling; generalised method of moments estimation, panel data regression, event study analysis and qualitative response models.
Other topics that will be considered in the module include the use of AI and machine learning in investments.
Learning Outcomes
By the end of the module students should be able to:
Critically explain key theoretical underpinnings and practical applications of financial econometrics in various financial and non-financial decision making contexts;
Design, estimate and evaluate econometric models using financial, economic and business data sets;
Critically assess various implicit assumptions of, and determine the limitations, underlying empirical models based on financial and business data sets;
Evaluate relative strengths and weaknesses of each of these techniques and models, and determine suitability of their applications;
Interpret and critique results obtained from using each of these econometric techniques and models; and
Critically evaluate econometric models employed in empirical academic literature in areas of economics, banking and finance.
Assessment
36331-01 : Continuous Assessment : Class Test (20%)
36331-02 : Group Assignment : Group Assessment - Coursework (30%)
36331-03 : Exam : Exam (Centrally Timetabled) - Mixed (50%)
Assessment Methods & Exceptions
Main assessment: continuous assessment (20%), 5,000 word group assignment (30%) & 2 hour exam (50%).
Reassessment: Students who fail the module resit the failed component(s) only. 1 hour MCQ test (20%), 1,500 word individual assignment (30%) & 2 hour exam (50%)