Behavioral Finance Theories 1600-SZD-ID-TFB
This PhD-level course delves into: differences between traditional finance and behavioral finance, praxeology, decision making, argumentation and arguments building, heuristics, behavioral biases and effects, social factors that shape financial decisions, market anomalies and efficient decisions making. The course is structured around foundational and advanced theories in behavioral finance, aiming to equip students with a deep understanding of both the theoretical framework and empirical evidence.
Type of course
Course coordinators
Learning outcomes
Knowledge | The graduate knows and understands:
WG_02 - the main development trends in the disciplines of the social sciences in which the education is provided
Skills | The graduate is able to:
UW_01 – make use of knowledge from various fields of science, in particular the social sciences in order to creatively identify, formulate and innovatively solve complex problems or perform tasks of a research nature, and in particular to: define the purpose and object of scientific research in the field of the social sciences, formulate a research hypothesis; develop research methods, techniques and tools and apply them creatively; make inferences based on scientific findings
UK_04 - participating in scientific discourse in the field of the social sciences
Social competences | The graduate is ready to
KK_01 - critically evaluating achievements within a given scientific discipline in the field of the social sciences
Assessment criteria
Description of requirements related to participation in classes, including the
permitted number of explained absences: Class Attendance Requirements:
Attendance is crucial, allowing one unexcused absence. Justified absences require documentation and must not exceed 50% of classes to remain in good standing.
A minimum score of 51% is required to pass. Active class participation can earn bonus points, enhancing overall performance.
Principles for passing the classes and the subject (including resit session): One resit possible.
Methods for the verification of learning outcomes: Learning outcomes in the Behavioral Finance course will be verified through a test that will assess knowledge, skills, and understanding of case studies.
Evaluation criteria: Grades will be determined through a performance in examination (test).
Bibliography
Behavioral Finance By Meir Statman
Inna przydatna ale nie wymagana:
Behavioral Finance By Edwin Burton And Sunit N. Shah
Thinking Fast and Slow By Daniel Kahneman
Advances in Behavioral Finance By Richard Taller
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: