Asset Price Response to New Information electronic resource The Effects of Conservatism Bias and Representativeness Heuristic / by Guo Ying Luo.
Material type: TextSeries: SpringerBriefs in FinancePublication details: New York, NY : Springer New York : Imprint: Springer, 2014Description: VII, 70 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781461493693Subject(s): Economics | Finance | Economics/Management Science | Finance/Investment/Banking | Financial Economics | economic theoryDDC classification: 657.8333 | 658.152 LOC classification: HG1-9999HG4501-6051HG1501-HG3550Online resources: Click here to access onlineChapter 1 Introduction -- Chapter 2 Conservatism bias and asset price overreaction or underreaction to new information in a competitive securities market -- Chapter 3 Conservatism bias and asset price overreaction or underreaction to new information in the presence of strategic interaction -- Chapter 4 Representativeness heuristic and asset price overreaction or underreaction to new information in a competitive securities market -- Chapter 5 Representativeness heuristic and asset price overreaction or underreaction to new information in the presence of strategic interaction -- Chapter 6 The presence of representativeness heuristic and conservatism bias in an asset market -- Chapter 7 Conclusion -- Appendix -- References.
Asset Price Response to New Information examines the effect of two types of psychological biases (namely, conservatism bias and representativeness heuristic) on the asset price reaction to new information. The author constructs various models of a competitive securities market or a security market allowing for strategic interaction among traders to prove rigorously that either conservatism or representativeness is capable of generating both asset price overreaction and underreaction to new information. The results shed some new insights on the phenomena of the asset price overreaction and underreaction to new information. In the literature, very little has been published in this area of behavioral finance. This volume will appeal to graduate-level students and researchers in finance, behavioral finance, and financial engineering.
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