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. András Bethlendi
Position
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 – ENG
Curricular role of the subject, recommended number of terms

Programme: Finance MSc (in English) from 2019/20/Term 1 AUTUMN start

Subject Role: Compulsory

Recommended semester: 2

Programme: Finance MSc (in English) from 2019/20/Term 1 SPRING start

Subject Role: Compulsory

Recommended semester: 1

Direct prerequisites
Strong
None
Weak
None
Parallel
None
Exclusion
None
Validity of the Subject Description

Objectives

The course starts with the introduction to martingale theory in the relation to discounting, elaborating the difference between yield, forward and zero-coupon curves. Then the course turns to practical problems, the pricing of financial products with interest rate sensitivity such as bonds, swaps and futures. Besides, the curse highlights the problem of discount curve calibration and connects the optimization problem to duration and convexity. In practice, we call this kind of exercise as ‘curve cooking’. The third part of the course gives insight into the different valuation adjustments (xVAs) used in the financial industry. Our primary goal is to familiarize students with the most important tools and to enable them to apply them individ-ually both in their studies and during their later work.

Academic results

Knowledge
  1. • martingales,
  2. • pricing of linear interest rate products,
  3. • ‘curve cooking’,
  4. • calculation of valuation adjustments
Skills
  1. plan and organize independent learning,
  2. • comprehend and use the professional literature of the topic,
  3. • using methods learn they could perform calculations to support decision-making
Attitude
  1. • is open to getting to know and adapting innovations in the financial field,
  2. • collaborates with their instructors and others during the learning process,
  3. • gains knowledge and information,
  4. • uses the possibilities offered by IT tools.
Independence and responsibility
  1. The audience
  2. • is open to accept constructive criticism,
  3. • collaborates with others to solve problems during the learning process,
  4. • could make prudent financial decision,

Teaching methodology

Lectures, written and oral communication, use of IT tools and techniques, optional tasks alone and in groups.

Materials supporting learning

  • 1. Az előadások prezentációinak anyaga, ami a félév során folyamatosan fog feltöltésre kerülni.
  • 2. Hull, John C. Options futures and other derivatives
  • 3. Baz, Jamil, and George Chacko.
  • 4. Fujii, Masaaki, Yasufumi Shimada, and Akihiko Takahashi.
  • 1. Material will be uploaded continously during the semester.
  • 2. MateriHull, John C. Options futures and other derivatives
  • 3. Baz, Jamil, and George Chacko.
  • 4. Fujii, Masaaki, Yasufumi Shimada, and Akihiko Takahashi.

General Rules

Assessment of the learning outcomes described under 2.2. is based on two written end-term tests.

Performance assessment methods

Based on written end-term tests and homework.

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

Percentage of exam elements within the rating

Issuing grades

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

Retake and late completion

The written tests can be retaken in the exam period.

Coursework required for the completion of the subject

Nature of work Number of sessions per term
56
40
54
150

Approval and validity of subject requirements

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. Martingales: concept, examples, basic features
2. Martingale Measures: arbitrage and martingale, complete markets
3. Linear interest rate products: bulding up discount rate (curve ’cooking’), pricing methodes,bonds, swaps
4. Valuation adjustments (xVAs)
5. Capital valuation adjustment
6. Funding adjustment
7. Credit adjustment

Additional lecturers

Name Position Contact details
Dr. László Nagy nagy.laszlo@gtk.bme.hu

Approval and validity of subject requirements