I. SUBJECT DESCRIPTION
II. SUBJECT REQUIREMENTS
III. COURSE CURRICULUM
SUBJECT DATA
OBJECTIVES AND LEARNING OUTCOMES
TESTING AND ASSESSMENT OF LEARNING PERFORMANCE
THEMATIC UNITS AND FURTHER DETAILS
Subject name
PRICING AND PRICE FORECASTING
ID (subject code)
BMEGT35M107
Type of subject
Contact lessons
Course types and lessons
Type
Lessons
Lecture
4
Practice
0
Laboratory
0
Type of assessment
Mid-term grade
Number of credits
5
Subject Coordinator
Name
Dr. Bethlendi András
Position
hab. associate professor
Contact details
bethlendi.andras@gtk.bme.hu
Educational organisational unit for the subject
Department of Finance
Subject website
Language of the subject
angol – EN
Curricular role of the subject, recommended number of terms

Programme: Master of Science Program in Finance

Subject Role: Compulsory

Recommended semester: 0

Direct prerequisites
Strong
None
Weak
None
Parallel
None
Exclusion
None
Validity of the Subject Description
Approved by the Faculty Board of Faculty of Economic and Social Sciences, Decree No: 580483/15/2026 registration number. Valid from: 24.06.2026.

Objectives

The objective of this course is to provide students with a comprehensive understanding of the fundamental principles of pricing financial instruments and derivatives, as well as the methods for modeling prices and risks. The course introduces the key theoretical models and practical techniques used in modern financial markets, develops students' analytical and problem-solving skills, and fosters the confident application of quantitative methods related to financial decision-making.

Academic results

Knowledge
  1. The audience is familiar with the pricing of money and capital market instruments, capital market transactions, and the related appraisal procedures, as well as the theory and practice of derivatives important in financial risk management. (EFMD-ILO connections: Finance - Knowledge (KKK) - T7 - ILO 1: Analytical thinking)
  2. Is familiar with standard finance models, with particular regard to the standard models of economics and their applicability. (EFMD-ILO connections: Finance - Knowledge (KKK) - T4 - ILO 1: Analytical thinking)
Skills
  1. Is capable of pricing money and capital market instruments, managing and directing capital market transactions, analysing investments and other financial undertakings, and managing financial risks of derivative transactions. (EFMD-ILO connections: Finance - Skills (KKK) - K5 - ILO 1: Analytical thinking)
  2. Formulates independent new conclusions, original ideas, and solutions, is capable of applying sophisticated analytical and modelling methods, developing strategies aimed at solving complex problems, making decisions in a changing domestic and international environment, as well as within organisational culture. (EFMD-ILO connections: Finance - Skills (KKK) - K1 - ILO 5: Digital proficiency)
Attitude
  1. Demonstrates creativity and a proactive approach to identifying and solving problems in their work. (EFMD-ILO connections: Finance - Attitude (KKK) - A6 - ILO 5: Digital proficiency)
  2. Is open to learning about new developments in the field of finance and proactive in applying them. (EFMD-ILO connections: Finance - Attitude (Specific competences of the educational programme) - SpecA1 - ILO 1: Analytical thinking)
Independence and responsibility
  1. Open to accepting well-founded constructive criticism,
  2. cooperates with peers in solving tasks during the learning process,
  3. is capable of independent decision-making, and is able to make well-informed,
  4. balanced judgments in financial decisions.

Teaching methodology

Lectures, interactive computational examples, case studies, independent problem-solving, as well as the application of digital educational tools and professional software.

Materials supporting learning

  • Az előadások során használt prezentációk és jegyzetek, amelyek a félév során folyamatosan feltöltésre kerülnek. / Course slides and lecture notes uploaded during the semester.
  • John C. Hull - Options, Futures, and Other Derivatives (11th edition)
  • Az oktató által összeállított kiegészítő feladatok, példák és segédanyagok. / Additional lecture notes and problem sets provided by the instructor.

General Rules

Assessment of the learning outcomes described under 2.2. is based on two written midterm tests.

Performance assessment methods

EFMD-ILO connection: Written mid-term test: Supervised application of financial models, computational tasks and analytical methods. (Finance ILO 1) Online quiz: Formative testing of digital finance tools and ICT knowledge. (Finance ILO 5)

Percentage of performance assessments, conducted during the study period, within the rating

  • 1st midterm test: 50
  • 2nd midterm test: 50
  • Total: 100

Percentage of exam elements within the rating

Issuing grades

%
Excellent 100-100
Very good 86–90
Good 71–85
Satisfactory 61–70
Pass 50–60
Fail <50

Retake and late completion

The two written mid-term tests can be retaken or upgraded together during the retake week, the result achieved during the retake will become final. No second retake (further opportunity for improvement) is available.

Coursework required for the completion of the subject

Nature of work Number of sessions per term
56 56
94 94
150 150

Approval and validity of subject requirements

Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 04.05.2026.

Topics covered during the term

Subject includes the topics detailed in the course syllabus to ensure learning outcomes listed under 2.2. can be achieved. Timing of the topics will be arranged by the calendar or other circumstances in each semester.

Lecture topics
1. Futures markets and central counterparties
2. Hedging strategies using futures
3. Interest rates
4. Determination of forward and futures prices
5. Swaps
6. Mechanics of options markets
7. Properties of stock options
8. Trading strategies involving options
9. Binomial trees
10. Wiener processes and Itô’s lemma
11. The Black–Scholes–Merton model
12. Options on stock indices and currencies
13. Futures options and Black’s model
14. The Greek letters
15. Volatility smiles and volatility surfaces

Additional lecturers

Name Position Contact details
Szabó Miléna Dóra egyetemi tanársegéd szabo.milena.dora@gtk.bme.hu

Approval and validity of subject requirements