Empirical analysis of Cognitive bias in Behavioral Finance Model

AUTHORS

Seong-hoon Jeong,Associate professor in Dept. of Economics & International Trade, Catholic University of Daegu, Daegu city, 384-30, South Korea
In-ho Choi,professor in Dept. of Real Estate, Namseoul University, Cheonan city, 331-707, South Korea

ABSTRACT

The purpose of this study is to analyze the cognitive bias of real estate investors using the maximized potential rate of profit model, the maximized potential rate of loss model, the gain of a real estate model and the loss of real estate model and verified the effect of tax policy on investor’s cognitive bias. This study used PRMR-LPMR model which is a frequency model which are used for the potential profit and the loss rate. The result of the study were rejected in the first and second increase of transfer income tax and a second increase of acquisition tax.

 

KEYWORDS

Acquisition Tax, Transfer Income Tax, Potential Rate of Profit Model, Gain of A Real Estate Model, Loss of Real Estate Model , Tax Policy, PRMR-LRMR Model

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CITATION

  • APA:
    Jeong,S.& Choi,I.(2019). Empirical analysis of Cognitive bias in Behavioral Finance Model. World Journal of Accounting, Finance and Engineering, 3(2), 7-12. http://dx.doi.org/10.21742/WJAFE.2019.3.2.02
  • Harvard:
    Jeong,S.and Choi,I.(2019). "Empirical analysis of Cognitive bias in Behavioral Finance Model". World Journal of Accounting, Finance and Engineering, 3(2), pp.7-12. doi:http://dx.doi.org/10.21742/WJAFE.2019.3.2.02
  • IEEE:
    [1]S.Jeongand I.Choi, "Empirical analysis of Cognitive bias in Behavioral Finance Model". World Journal of Accounting, Finance and Engineering, vol.3, no.2, pp.7-12, Nov. 2019
  • MLA:
    Jeong Seong-hoonand Choi In-ho. "Empirical analysis of Cognitive bias in Behavioral Finance Model". World Journal of Accounting, Finance and Engineering, vol.3, no.2, Nov. 2019, pp.7-12, doi:http://dx.doi.org/10.21742/WJAFE.2019.3.2.02

ISSUE INFO

  • Volume 3, No. 2, 2019
  • ISSN(p):2208-8512
  • ISSN(o):2208-8520
  • Published:Nov. 2019