Research in Finance-Practical

Paper Code: 
24DFSG704
Credits: 
02
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

This course will enable students to proficiently utilize SPSS for data management, visualization, and statistical analysis, including parametric and non-parametric tests, correlation, and regression, facilitating comprehensive research and data-driven decision-making.

Course Outcomes: 

 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

 

24DFSG 704

Research in Finance

(Practical)

 

CO199: Demonstrate the entry and record of data files using SPSS.

CO200: Demonstrate and evaluate the graphs and charts through SPSS

CO201: Determine the measures of central tendency.

CO202: Examine and Appraise different parametric and non-parametric tests using SPSS

CO203: Hypothesize a research problem and interpret it for correlation and regression analysis using SPSS

CO204: Contribute effectively in course-specific interaction

 

Approach in teaching: Interactive Lectures, discussions, Tutorials, Practical cases Power point presentations.    

 Learning activities for the students: Self-learning assignments,  Seminar presentation, Live practical problems analysis

CA test, Semester end examinations, Solving problems in tutorials, and Presentations.

 

 

 

 

6.00
Unit I: 
Introduction to SPSS
  • Creating a data file, defining variables, Data Entry, inserting variable, measurement scales, inserting cases, identifying duplicate cases, sorting cases, merging & splitting files, select case.

            Managing Data                                                                                                          

  • Missing data, compute variable, recode variable, rank cases, Weighted Cases.
  • Frequencies, Descriptive, Cross Tabs, Exploratory, Custom Tables.

 

6.00
Unit II: 
Visual Statistics using SPSS
  • Chart Builder, Histograms, Box Plots, Bar Charts, Cluster Bar, Stacked Bar, Error bar, Line charts, Pie charts, Editing graphs and Axes, Descriptive Statistics using SPSS                  
  • Measures of central tendency, variabiability, Normality Test, Reliability Analysis.

 

6.00
Unit III: 
Parametric Tests- t-test
  • One Sample, Independent Sample, Paired t test.
  • Analysis of variance: Assumptions of One Way ANOVA, Testing for differences in mean between the group, Measure of Association, Assumption of Two way ANOVA, Procedure for Testing Two Way ANOVA.
6.00
Unit IV: 
Non Parametric Tests
  • Mann Whitney U test, Wilcoxon Signed ranks test, Kruskal Wallis Test, Friedman Test.
  • Chi square Test: Test of Independence, 2x2 Cross tabulation, Layered cross tab, Goodness of fit.
6.00
Unit V: 
Bi variate Correlation using SPSS
  • Bi variate  Correlation, Partial Correlations  and  the  correlation matrix
  • Regression: Assumptions, Linear Regression, Multiple Regression

 

Essential Readings: 
  • Andy Field, Discovering Statistics Using IBM SPSS Statistics,Sage Publications
  • Kiran Pandya, Smruti Bulsari, Sanjay Sinha, SPSS in Simple Steps, Dreamtech Press
  • A. Rajathi & P. Chandran (2012), SPSS for You, MJP publishers.
  • Lawrence M Mayers, Glenn C Gamst, A J Guarind, Performing Data Analysis Using SPSS, Wiley

 

 

References: 

Suggested Readings:

  • S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.
  • Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani, Basic of Statistics & SPSS, create space independent publishing platform.
  • Keith Mc Cormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, SPSS Statistics for Data Analysis and Visualization, Wiley
  • James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.

E-Content:

Reference Journals:

  • Business Perspectives and Research
  • FIIB Business Review
  • Harvard Business Review
  • IUP Journal of Accounting Research
  • Jindal Journal of Business Research
Academic Year: 
2024-2025
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