Financial Research Methods

Cod y Modiwl: ABM1420
Teitl y Modiwl: Financial Research Methods
Blwyddyn Academaidd: 2027/2028
Semester: Semester 1
Cyd-gysylltydd y Modiwl: Dr Shafiul Azam
Rhestr Ddarllen: Gweld ar Aspire
Staff Eraill sy'n Cyfrannu: Dr Aloysius Igboekwu; Professor Homagni Choudhury; Dr Shafiul Azam

Dulliau Asesu

Math o Asesiad	Manylion Asesiad	Cyfran
Asesiad Semester	Written Report: (3,000 words)	30%
Arholiad Semester	3 Awr Written Exam	70%
Asesiad Ailsefyll	Written Report: (3,000 words)	30%
Arholiad Ailsefyll	3 Awr Written Exam	70%

Canlyniadau Dysgu

Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:

1. Use concepts from probability theory to describe the distributional properties of key financial variable.
2. Apply appropriate statistical methods to financial data to answer questions of interest to finance practitioners and researchers.
3. Identify the direction and strength of a linear relationship between two numerical variables using correlation or regression analysis.
4. Estimate a multiple regression model and interpret the results.
5. Apply estimation techniques such as logit or probit, or panel regression estimation, to financial data sets where appropriate, and interpret the results.

Disgrifiad cryno

This module provides an introduction to statistical and econometric methods that are used to model financial data. Although the main emphasis is on practice rather than theory, there is sufficient theoretical grounding to provide a critical awareness of the strengths and weaknesses of the modelling techniques that are employed. There is emphasis on development of the independent capability to design and estimate appropriate statistical econometric models using the Stata software package.

Cynnwys

• Probability, discrete and continuous random variables
• Measures of central tendency and dispersion
• Probability density function and distribution function
• The binomial, Poisson and normal distributions
• Jointly distributed random variables, covariance, correlation
• Sampling and estimation, sampling distributions
• Hypothesis tests
• Contingency tables, ANOVA
• Sample correlation: estimation and statistical inference
• The two-variable linear regression model
• The multiple regression model
• Discrete choice regression models: logit and probit regression
• Models for panel data: fixed and random effects

Sgiliau Modiwl

Math o Sgiliau	Manylion Sgiliau
Cyfathrebu	• Develop confidence in and clarity of oral communication via example class/tutorial participation • Develop clarity and focus of written communication via development of answers to self-study questions Develop and use appropriate subject-specific vocabulary in oral and written communication
Datblygu personol a chynllunio gyrfa	• Preparation for seminar tasks will encourage initiative, independence and self-awareness • Identify a variety of potential career opportunities within the financial and professional services sector.
Datrys Problemau	• Identify the precise problem to be solved • Assess which data are pertinent to the problem • Recognize that alternative solution methods might be available • Select and apply appropriate methods for solving the problem Assess the reasonableness of problem solutions and interpret those solutions
Gwaith Tim	Develop experience of team work and develop team working skills via small group working on self-study.
Gwella dysgu a pherfformiad ei hun	• Identify and distil the key issues covered by lectures, tutorials and self-study • Identify and use a range of learning resources • Investigate benefits of small group working on self-study Structure study to accommodate intensive learning
Rhifedd	• Develop an easy familiarity with numerical data sources and numerical data • Apply numerical data to problem solving with care and accuracy • Assess the reasonableness of and interpret numerical solutions • Support assertions/arguments with appropriately developed and presented numerical data Apply complex mathematical formulae.
Sgiliau pwnc penodol	• Develop competence in understanding and appropriately applying statistical data analysis/ theory to practice. • Develop competence in understanding the appropriate methods to estimate and make inferences about a population characteristics and their limitations.
Sgiliau ymchwil	• Identify which information sources are available to: o facilitate module study (understanding, wider reading) o provide data which allow application of module learning in a real world context Properly reference/attribute information sources
Technoleg Gwybodaeth	• Use a variety of electronic web- and library-based resources to review available information and retrieve pertinent information Use spreadsheet software to complete elements of the self-study (e.g., for ease of tabulated numerical calculations, production of summary statistics, production of graphs, etc.)

Nodau

Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 7