# Quantitative Methods - BUSN8022

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## Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2022 to 2023
Canterbury
Autumn Term 7 15 (7.5) Nikolaos Voukelatos

## Overview

This module provides a general introduction to the quantitative methods used in financial applications and topics may include:

Statistical concepts
Probability distributions
Statistical inference, estimation and hypothesis testing
Correlation, spurious correlation and general dependence measures
Linear regression
Multiple linear regression
Logistic regression
Monte Carlo simulation
Modelling in Excel

## Details

### Contact hours

Total contact hours: 37
Private study hours: 113
Total study hours: 150

## Method of assessment

Main assessment methods:
Individual Empirical Report (3000 words) (40%)
Examination, 2 hour (60%).

Reassessment method:
100% Exam

Brooks, C. (2008) Introductory Econometrics for Finance, 2nd edition, Cambridge University Press

Gujarati, D.N. (2009) Basic Econometrics, 5th Edition, McGraw-Hill, New York and London

Anderson, D.R., Sweeney, D.J., Williams, T.A., Freeman, J. and Shoesmith, E. (2010), Statistics for Business and Economics (2nd edition), London: Cengage

Green, W.H. (2011) Econometric Analysis (7th edition), Harlow: Pearson

Watsham, T. and Parramore, K. (2007), Quantitative Methods in Finance, London: Thomson Learning

See the library reading list for this module (Canterbury)

## Learning outcomes

The intended specific learning outcomes:
On successfully completing the module students will be able to:
- Demonstrate knowledge and understanding of the use of quantitative techniques for application to problems in a finance context.
- Demonstrate an ability to undertake statistical investigation of financial data.
- Identify and select appropriate statistical techniques to apply to issues within a finance context.
- Apply quantitative techniques for solving problems within a finance context.
- Analyse and interpret results derived from statistical models.
- Demonstrate proficiency band competency in numeracy skills.

The intended generic learning outcomes.
On successfully completing the module students will be able to:
- Analyse compare, discuss, and critically evaluate various statistical methods.
- Plan work, use relevant sources and study independently.
- Work in groups, listen, respond to different points of view and negotiate outcomes. Ability to receive and use criticism and advice.
- Select appropriate formats for presentation of work, which includes the acknowledgement and reference of sources.
- Analyse structured and unstructured problems.