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Regular version of the site
2020/2021

Trading Strategies

Language: English
ECTS credits: 5
Contact hours: 60

Course Syllabus

Abstract

This course is enhanced by the study of stock trading technology using software. The student should get a reasonable understanding of the possibilities of research and modeling of exchange trading processes in the context of the analysis of their strategic choice as individual subjects. Both in terms of the advantages and advantages of this approach, and the objective limitations inherent in it.
Learning Objectives

Learning Objectives

  • The main objective of the course is to provide students with knowledge of the fundamental laws and regularity governing the functioning of the stock exchanges and the implementation of exchange trades from the standpoint of modern behavioral economics.
Expected Learning Outcomes

Expected Learning Outcomes

  • Students have knowledge about the specifics and place of exchange trading in the modern economy, the prospects for evolution and the problems of this sector of the economy
  • Students obtain an objective understanding of the fundamental approaches and methods of studying exchange trading from the standpoint of behavioral economics
  • Students obtain an objective view of rational and irrational motives in the behavior of participants in exchange trading
  • Students get an idea of the possibilities and methods of applying decisionmaking methods under risk for analyzing the behavior of participants in exchange trading
  • Students get an idea of the possibilities and methods of applying the methods of non-cooperative (strategic) game theory to the analysis of the behavior of participants in exchange trading
  • Students get an idea of the basic concepts of solving cooperative games and their use in the analysis of exchange trading and objective opportunities available to their participants
Course Contents

Course Contents

  • Topic 1. Exchange and exchange trading as an object of study. Actions of participants of the exchange trades from the point of view of behavioral economy
  • Topic 2. Methods of analysis of stock strategies. Models of decision making under certainty and risk
  • Topic 3. Exchange strategies and problems of intertemporal choice
  • Topic 4. Analysis of the behavior of participants in exchange trading using decision-making methods in conditions of uncertainty and game-theoretic approaches («strategic games»)
  • Topic 5. Methods of the theory of cooperative games in the analysis of exchange trading
Assessment Elements

Assessment Elements

  • non-blocking In-class participation
  • non-blocking Home assigments
  • non-blocking Final exam
    The exam is to be held in written form on the LMS online platform . It is necessary to login in 10 minutes before the exam is due to begin. To participate in the exam, student is obliged to: upload a profile photo. During the exam it is forbidden to: interrupt the session. During the exam it is allowed to: use additional material, as text of lectures. If a students have any technical problems, he (she) has immediately write to lecture and it will be regarded as a brief connection break. If no, it will be regarded as a longer connection break and will entail the exam cessation. The retake procedure is identical to the exam procedure.
Interim Assessment

Interim Assessment

  • Interim assessment (4 module)
    0.35 * Final exam + 0.3 * Home assigments + 0.35 * In-class participation
Bibliography

Bibliography

Recommended Core Bibliography

  • Angner, E. (2016). A Course in Behavioral Economics 2e (Vol. 2nd ed). Basingstoke: Palgrave Macmillan. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1524094

Recommended Additional Bibliography

  • Game Theory: A Multi-Leveled Approach. (2008). Springer Verlag. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsnar&AN=edsnar.oai.cris.maastrichtuniversity.nl.publications.f0459d98.4840.4780.9538.9cb97d614697
  • Nicholas Barberis, & Richard Thaler. (2002). A Survey of Behavioral Finance. NBER Working Papers. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.p.nbr.nberwo.9222
  • Richards, T. (2014). Investing Psychology : The Effects of Behavioral Finance on Investment Choice and Bias. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=759584
  • Taleb, N. N. (2010). The Black Swan: Second Edition : The Impact of the Highly Improbable Fragility’. New York: Random House. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=737172