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FINN3091: Financial Econometrics 2

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Type Tied
Level 3
Credits 20
Availability Available in 2023/24
Module Cap None.
Location Durham
Department Finance

Prerequisites

  • Financial Econometrics 1 (FINN2031)

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • This module aims to provide students with a rigorous grounding in financial econometrics.
  • Encourage students to critically appraise work in this area and to facilitate students' analytical skills.

Content

  • Content of this module will investigate contemporaneous financial econometric tools and adapts to changing approaches in this area.
  • Linear time series models and forecasting.
  • Types of trend, integrated time series and unit root processes.
  • Models with multiple time series and the presence of common trends.
  • Volatility modelling and forecasting.
  • Non-linear time series modelling and financial data analysis.
  • Advanced topics in time series modelling.

Learning Outcomes

Subject-specific Knowledge:

  • Have become familiar with econometric tools employed in financial research and practice.
  • Be able to apply and interpret advanced econometric techniques.

Subject-specific Skills:

  • Be able to implement and interpret statistical tests to discriminate between stationary and non-stationary time series and to be able to model the series appropriately .
  • Be able to implement and interpret statistical tests to determine the presence of contegration between pairs of non-stationary time series and be able to model the series appropriately.
  • Be able to appropriately model time series which display significant time variation in conditional variance.

Key Skills:

  • Written communication, via summative assessment.
  • Planning and Organising - by observing the assignment deadlines.
  • Problem solving, via understanding the technical problems assessed by summative work, as well as the analytical and quantitative skills of econometrics.
  • Initiative, in searching the relevant literature, for the summative assignment.
  • Numeracy, required for understanding and applying the mathematical and statistical tools that underpin econometric analysis.
  • IT skills, via usage of econometric software for the statistical analysis of data, and word-processing, required for the presentation of the summative assignment.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Teaching is by lectures and practicals. Learning takes place through attendance at lectures, preparation for, and participation in, practical classes in addition to private study.
  • Formative assessment is by means of an essay.
  • Summative assessment is by means of a written assignment. In the assignment students are required to collect appropriate historical data to implement the techniques covered within the module and provide a comprehensive narrative and analysis that demonstrates critical thinking on those topics and results.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures201 per week1 hr20 
Practicals116 in term 1, 5 in term 21 hr11 
Preparation and Reading169 
Total200 

Summative Assessment

Component: AssignmentComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
One written assignment4500 words max100same

Formative Assessment

1500 word essay

More information

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