COURSE UNIT TITLE

: RESEARCH IN ACCOUNTING AND FINANCE

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MSF 5090 RESEARCH IN ACCOUNTING AND FINANCE ELECTIVE 3 0 0 4

Offered By

Accounting and Finance (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ÇAĞNUR BALSARI

Offered to

Accounting and Finance (English)

Course Objective

This course is designed to introduce and guide students in the usage of methods and tools in empirical research in accounting and finance . This course aims to provide the fundamentals of experimental research design, be familiar with matching mechanisms, instrumental variable and panel data approaches, be aware of limitations of these research designs, and, using the statistical software packages SPSS,E-VIEWS, and STATA, have gathered experiences in designing and conducting large-scale research projects.

Learning Outcomes of the Course Unit

1   Develop an understanding of all the necessary steps in an empirical project from the research idea to the complete paper.
2   Critically evaluate other empirical research papers.
3   Understand the way theoretical hypotheses are typically tested using the statistical software packages such as E-VIEWS and STATA.
4   Identify key data sources of empirical research in Accounting and Finance.
5   Identify appropriate statistical methods to use for a research question.
6   Design a systematic research project.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Causality and Who Cares About Causality
2 Data Gathering, Organization, and Handling
3 Constructing Sampling and Research Hypothesis
4 Cluster and Discriminant Analysis Application
5 Use of Survey and Interviews in Behavioral Accounting and Finance Research
6 Mid-term
7 Multivariate Regression Applications
8 Omitted Variables Problems and Measurement Error
9 Handling Dummy Variables
10 Panel Data Methodology and Instrumental variables
11 Time Series Applications
12 A Project Walk-Through
13 A Project Walk-Through
14 Review

Recomended or Required Reading

1. Ryan B, Scapens RW & Theobald M (2002) Research Methodology in Finance & Accounting, Thomson
2. Bryman A & Bell E (2003) Business Research Methods, Oxford University Press
3. 2Saunders M, Lewis P & Thornhill A (2003) Research Methods for Business Studies, Financial Times Management
4. Smith M (2003) Research Methods in Accounting, Sage
5. Bryman A & Cramer D (2001) Quantitative Data Analysis with SPSS, Routledge

Planned Learning Activities and Teaching Methods

Lecture, discussions, case studies, problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FCG FINAL COURSE GRADE
3 FCGR FINAL COURSE GRADE MTE * 0.40 + FCG* 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. The students will understanding of all the necessary steps in an empirical project.
2. The students will evaluate other empirical research papers.
3. The students will understand the way theoretical hypotheses are typically tested using the statistical software packages such as E-VIEWS and STATA.
4. The students will identify key data source of empirical research in Accounting and Finance.
5. The students will identify appropriate statistical methods to use for a research question.
6. The students will design a research project

Language of Instruction

English

Course Policies and Rules

1. Plagiarism of any type will result in disciplinary action.
2. Attending at least 70 percent of lectures is mandatory.
3. All assignments should be submitted on time. Otherwise will not be accepted.

Contact Details for the Lecturer(s)

berna.kirkulak@deu.edu.tr, cagnur.balsari@deu.edu.tr

Office Hours

To be announced later.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 1 13
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 13 1 13
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 104

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.15555455
LO.25555455
LO.35555455
LO.45555455
LO.55555455
LO.65555455