Introduction to Finance Mathematics, 7.5 ECTS

First level

Facts

Study pace 50%
Study time Daytime
Study form Normal
Language English
Special eligibility requirements
Knowledge corresponding to the courses Mathematics II - Analysis, part A, 7.5 ECTS, Mathematics II - Linear Algebra, 7.5 ECTS, Statistical Analysis, 7.5 ECTS and Stochastic Processes and Simulation I, 7.5 ECTS.

Description

The aim of the course is to give an overview over some of the most common mathematical methods and models that are used in the financial sector. There are several different kinds of investors in the financial market today; not only companies, bank…

The aim of the course is to give an overview over some of the most common mathematical methods and models that are used in the financial sector. There are several different kinds of investors in the financial market today; not only companies, banks and other financial institutions but also many private investors with money in funds or other securities. Recently, trade in financial derivatives like options on other securities has increased rapidly. All this has generated an increased demand for knowledge on analysing all complex relationships and questions in a reliable way.

This course is about risk management for financial markets. Concepts treated are interest rate, arbitrage, forwards, options including Black-Scholes formula, optimal portfolios, CAPM and Value at risk.

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Area of interests: Information only in Swedish

Information only in Swedish

Subject

Mathematical Statistics

Mathematical statistics is the subject within applied mathematics that describes and analyses random events.

The foundation is the mathematical probability theory, which goes back to the 17th century, but has in its modern form developed mostly during the 20th century. Probability theory is also the foundation of statistical theory on how to draw conclusions from data with random features. The rise of computer technology has also significantly contributed to broadening the field of applications within mathematical statistics. Today is mathematical statistics one of the most powerful tools in applied mathematics.

Examples that apply mathematical statistics to a large extent are the insurance and finance sectors, biological and medical research (biostatistics) and industrial applications like telecommunications and quality control.

The department cooperates closely both in research and teaching with the pharmaceutical industry, medical institutions and banking and insurance companies. Depending on direction of studies, a student with an exam in mathematical statistics has a good chance to get employment in these sectors.

Mathematical statistics can be studied in elective courses, as a major in a Bachelor’s or Master’s degree or as a complementary subject. Courses cover both theory and applications in various areas. Mathematical statistics is included in the Bachelor’s programmes in Mathematics, Biomathematics and Mathematics and Economics and a major in the Master’s programmes in Mathematical statistics, Biostatistics, Finance mathematics and Finance and Actuarial science.

Mathematical Statistics

Course events

Autumn 2017

Study pace 50 %
Study time Daytime
Study form Normal
Language English.

Selection: No selection.

Start period: Period 1 - starts during the first half of the semester

Location: Stockholm

Additional information: Application deadline 18 April.

Tuition fee

Tuition fees only concern citizens outside the EU, EES and Switzerland
First instalment: 17500 SEK
Total course/programme fee: 17500 SEK

Tuition fees only concern citizens outside the EU, EES and Switzerland
Appl.code: SU-48016