Modules

Core Module Information
Module title: Statistics, Probability and Risk
SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: FIN11101
Module leader: Ismaila Yusuf
School The Business School
Subject area group: Accounting and Finance
Prerequisites

There are no pre-requisites for this module to be added
Description of module content:

Nature of economic and financial dataGraphical and numerical summaries of dataDiscrete probability distributionsContinuous probability distributions with applications to stock prices and returnsBayesian probability and behavioural financeSampling distributions and statistical inferenceRegression analysis using various models with applications to CAPMForecasting with time seriesUse of software packages for statistical analysisReport writing
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Synthesize the empirical finance literature through research articles

LO2: Analyze probability distributions in the context of finance

LO3: Explore secondary financial data collection

LO4: Investigate methods for statistical analysis in finance

LO5: Evaluate software packages for the statistical analysis of financial data

LO6: Develop report writing skills in a technical context.
Full Details of Teaching and Assessment
2024/5, Trimester 1, Blended,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: Blended
Location of delivery: CRAIGLOCKHAR
Partner:
Member of staff responsible for delivering module: Ismaila Yusuf
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Independent Learning Lecture 24 LECTURE
Face To Face Tutorial 12 TUTORIAL
Face To Face Practical classes and workshops 12 Practical classes and workshops
Online Guided independent study 152 Guided independent study
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 50 1~2~6 Week 9 , WORDS= 2500 In this first report, you are required to describe a regression model from a given list and discuss how research articles used this method to reach robust conclusions. Alternatively, you may choose another statistical method that you prefer and has been used in the empirical finance literature.
Report 50 1~2~3~4~5~6 Week 13 , WORDS= 2500 In this second report, you are required to conduct your own statistical analysis using financial data. Indicatively, you may conduct a rigorous risk assessment of a company’s stock or of a portfolio of assets.
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Indicative References and Reading List - URL:
FIN11101 Statistics, Probability and Risk
 

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