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dc.contributor.authorSun, Yu
dc.description.abstractAs behavioral finance is becoming more prevalent in academic area, a study is worth conducting to pinpoint investors’ preference through managing tail risk of asset portfolios. This study investigates investors’ investment behaviors by modeling their investment personalities based on tail risk management. We incorporate CVaR approach to model traditional and non-traditional investment behaviors by reshaping the tails of portfolio return. To be specific, we build model to maximize left-tail CVaR, minimize right-tail CVaR, minimize left-tail CVaR models, and a mixed model that maximize left-tail CVaR and minimize righttail CVaR simultaneously based on various group of rational and irrational investors. Our work incorporates empirical historical data and Monte Carlo simulation to compare these models with the classical Markowitz approach via different dimensions. We make contributions to fill the gap by making a more comprehensively study that incorporates investors’ psychological factors and exploring economic information regarding asset pricing puzzle and long-run risk.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleInvestment Behavior Analysis Based on Tail Risk Managementen_US
dc.typeMaster's paperen_US
dc.date.accessioned2018-07-20T20:05:35Z
dc.date.available2018-07-20T20:05:35Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/10365/28684
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeScience and Mathematicsen_US
ndsu.departmentStatisticsen_US
ndsu.programStatisticsen_US
ndsu.advisorMagel, Rhonda
ndsu.advisorTian, Ruilin


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