FIN369 : Quantitative methods in finance

Department

Department of Financing and Banking

Academic Program

Bachelor in Finance and banking

Type

Elective

Credits

03

Prerequisite

FIN364

Overview

The study of the course aims to provide the student with the ability to analyze the financial standard, and to teach the student about options contracts, future contracts, and swap contracts, as well as providing the student with the skills that make him able to carry out quantitative research in the field of finance and investment, and to introduce the concepts and skills of quantitative measurement of the relationships between financial and economic variables.

Intended learning outcomes

A. Knowledge and understanding:

  • To familiarize the student with the concept of quantitative measurement of the relationships between financial and economic variables.
  • To explain and analyze the stages and steps of the financial standard analysis.
  • To familiarize the student with statistical estimation methods.
  • To explain and link the student between hypothesis tests and the meanings of their indicators.

B. Mental skills:

  • That the student distinguishes the importance of quantitative measurement of relationships in the field of finance and investment.
  • The student will link between financial variables using quantitative methods.
  • That the student links between statistical estimates and their uses in the field of finance and investment.
  • The student should link between hypothesis tests and the meanings of their indicators.

C. Scientific and professional skills:

  • That the student diagnoses the role of quantitative measurement of relationships in the field of finance and investment.
  • That the student uses the tools of standard analysis to study the relationship between financial variables.
  • That the student uses the methods and tools of statistical estimates.
  • That the student employs hypothesis tests in studying the relationship between financial variables.

D. General skills:

  • Encouraging dialogue and discussion.
  • Developing the student's ability to use the computer in various applications.
  • Developing the student's problem-solving skills and enabling him to keep up to date with what is new in this subject.
  • Ability to use SPSS programs, Eviews.

Teaching and learning methods

  1. Study lectures.
  2. Case studies and practical applications.
  3. Various exercises on the contents of the course.
  4. Diversity in questions and activating panel discussions to develop comprehension.

Methods of assessments

  1. Midterm exam 20%.
  2. Research paper 10%.
  3. Activity 10%
  4. Final exam 60%.

Course content

Number of hours

scientific subject

Week

6

Introduction to financial econometrics, relationship of econometrics to other sciences, objectives of financial econometrics, data types (time series, cross-sectional data, dashboard), (continuous and detailed data, qualitative data, and quantitative data), data sources

1-2

6

The standard model, the functional relations, the steps involved in formulating the standard model, the random variable (its nature and the reasons for its appearance in the standard models).

3-4

6

Algebra of groupings, expected value, probability distributions.

5-6

6

Covariance and correlation coefficient.

7-8

6

What is regression analysis? Regression vs. Causation, Regression vs. Correlation, Estimation of the Regression Model Using OLS Least Squares Method OLS Characteristics Coefficient of Determination and Correlation Random Error Hypotheses.

9-10

3

OLS Hypothesis Test Example CAPM Estimation Model Computer Applications.

11

6

Estimation of multiple linear regression model using OLS method. Estimation of coefficient of determination and partial correlation coefficients.

12-13

3

Testing the assumptions of the multiple regression model, example of estimating the APT model. Computer applications.

14