MBAS231 Financial StatisticsIstanbul Okan UniversityDegree Programs Banking and InsuranceGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Banking and Insurance
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General course introduction information

Course Code: MBAS231
Course Name: Financial Statistics
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi DİLEK YALÇIN
Course Lecturer(s): Assoc. Prof. AYNUR PALA
Course Assistants:

Course Objective and Content

Course Objectives: With this course, students with models of asset pricing regression models to predict stock and is aimed to make the risk-return analysis for the market.

Course Content: Correlation and regression analysis of
asset pricing models
beta pricing models and estimated regression with
time series
trend-removal
risk-return analysis

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Beta models can predict using excel https://rusca-turkce.cevirsozluk.com/24909058-v-techenii-etogo-mesyatsa-oblastnoy-sud-dolzhen-snyat-arest-s-doma-i-ya-smogu-bystro-proda
2 - Skills
Cognitive - Practical
1) Analyze the risk-return map.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Discussing syllabus
2) Correlation
2) Regression analysis
4) Asset pricing model
5) Beta pricing model
6) Estimation of beta pricing model
7) Midterm exam
8) Solving exam
9) time series
10) Detrending time series
11) Risk return analysis
12) Risk-return analysis for equity market
13) risk-return map
14) Analysis of risk-return map
15) Repeat
16) final exam

Sources

Course Notes / Textbooks: Ders notları
References: yok

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

Program Outcomes
1) Banking and define concepts related to the insurance profession. Banking and express numerical methods on insurance.
2) Banking and insurance companies is to apply numerical methods for using the necessary computer programs.
3) They can use a foreign language in oral and written communication and technology.
4) Banking and insurance companies is to use theoretical and practical knowledge about learning. Continuously monitors technological developments related to the field.
5) Data on the banking and insurance sectors can analyze and interpret. Followed by banking and insurance also related disciplines. They can offer suggestions to the sector's problems.
6) Banking prepare and execute the insurance-related projects.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Banking and define concepts related to the insurance profession. Banking and express numerical methods on insurance. 5
2) Banking and insurance companies is to apply numerical methods for using the necessary computer programs. 5
3) They can use a foreign language in oral and written communication and technology. 5
4) Banking and insurance companies is to use theoretical and practical knowledge about learning. Continuously monitors technological developments related to the field. 5
5) Data on the banking and insurance sectors can analyze and interpret. Followed by banking and insurance also related disciplines. They can offer suggestions to the sector's problems. 5
6) Banking prepare and execute the insurance-related projects. 5

Learning Activity and Teaching Methods

Expression
Lesson
Lab
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Midterms 1 1 1
Final 1 1 1
Total Workload 2