Course Information Undergraduate prospectus

Quantitative Research Methods

Course summary

Course code: FINA1108
Level: 6
Credits: 15
School: Business Faculty
Department: Accounting and Finance
Course Coordinator(s): Venkata Chinthalapati

Specification

Aims

This course is to enable students to investigate a suitable quantitative-based research project in the area of finance and then explore the academic and methodological requirements for a finance-based project. The course will provide guidance in applying the basic elements of research methods, which will enable students to critically examine and reflect upon the research project

Upon completion the students will be able to demonstrate awareness of the most commonly used research methods, both quantitative and qualitative, suitable for small scale research projects. Students will also have good quantitative skills and be ready to critically appraise a finance based project and carry out research activities with a fair degree of autonomy.

Learning outcomes

On completing this course successfully you will be able to:

1. Demonstrate the ability to critically appraise and evaluate suitable quantitative research project.
2. Evaluate a variety of research questions or hypothesis.
3. Identify, collect, and analyse relevant data. Understand the sources of bias and limitations that apply to different research methods.
4. Understand the differences between a range of research methods and independently make a choice appropriate to a given quantitative research project in finance.

Indicative content

The course will provide a quantitative skill toolset which will provide students with the ability to analyse a specific quantitative research problem within the field of finance and draw reasoned conclusions. Students will learn how to locate, extract and analyse data from multiple sources, including the acknowledgement and referencing of sources. Training will be given in numeracy skills, including the ability to manipulate financial and other numerical data and to appreciate and, where relevant, apply statistical concepts to a financial research project. This includes the use of excel, word, standard statistical packages, financial databases such as Datastream, the internet and e-mail with a specific focus upon the interpretation and manipulation of financial data, financial functions and statistical tools. Presentation skills will also be covered.

Teaching and learning activity

Learning and teaching activities include:
• lecture/class/seminar (face-to-face, video, or computer-mediated)
• individual or group-based teaching tutorial/project
• labs/studio
• fieldwork
• work placements
• self-study supported by structured learning materials

The aim of the Quantitative Research Methods course is to support students in producing a detailed, well developed quantitative based research project by the end of this course, and to be ready to proceed with all aspects of the research project, including data collection and analysis, at the beginning of the next semester through to the completion of the dissertation.
There are two separate elements to the Applied Quantitative Methods course:

1. the taught component of the course a.) introduces students to the requirements of the research proposal and provides them with guidance on how to undertake their independent study; and b) provides students with the quantitative statistical techniques and methods involved in the collection and analysis of data. There are a lecture and tutorials each week based on these two parts

2. the supervisory element of the course provides students with guidance for your specific topic, leading to your research proposal. This guidance is provided by your supervisor, but is strongly driven by students’ efforts.

This course will be delivered through 2 hour weekly lectures and 1 hour seminars. In addition students will be required to attend computer lab session and work on the online activities for Excel modelling

This course will be delivered through 2 hour weekly lectures and 1 hour seminars. In addition students may be required to attend computer lab session (or working on their laptops in class) and work for Excel modelling.

Assessment

Methods of SUMMATIVE Assessment: Ethics statement.
Grading Mode Pass/fail
Weighting % 0%
Pass Mark Pass
Word Length n/a

Methods of SUMMATIVE Assessment:Quantitative Finance Assignment-1
Outcome(s) assessed by summative assessment : 1 and 2.
Grading Mode:Numeric
Weighting 30%
Pass Mark 40%
Word Length 1,000
Outline Details:Submission of the results from the empirical analysis based on the given data and a financial technique.

Methods of SUMMATIVE Assessment:Project Proposal.
Outcome(s) assessed by summative assessment : 1 to 4.
Grading Mode:Numeric
Weighting % 70%
Pass Mark 40%
Word Length 2,500
Outline Details: Testing the performance of the given financial models and writing an essay on the related literature and the methodologies.

Students are not required to pass all components in order to pass the course.