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Risk Information Impact on Investment Decisions: Experimental Test of PMM Theory, a Case of Indonesia (in DLSU Business and Economics Review, Vol.23, No.1)
Bibliografi
Author:
Ertambang Nahartyo
Topik:
Probabilistic Mental Model Theoiy: framing effect: risk information: financial analyst
;
and investment decisions
Bahasa:
(EN )
Tahun Terbit:
2013
Jenis:
Article - diterbitkan di jurnal ilmiah internasional
Fulltext:
Risk Information Impact on Investment Decisions Experimental Test of PMM Theory, a Case of Indonesia.pdf
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1 download
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Abstract
The aim of this study is to examine the Probabilistic Mental Model (PMM) Theory as an explanation
of the framing effect in the context of reporting risk in different formats ill Indonesia. The study
was conducted using an online field experimental method with 3x4x2 mixed design, involving 54
investment analysts as participants. Experiments were conducted to test whether different formats
of risk information—given the time sequence associated with the framing effect as explained by the
PMM Theory—influence the investment decision-making process. The results show that participants
chose to take action that is not at risk when the information presented is in a positive frame. Gains
or a loss of information that accompanies the risk information does not affect participants' decision
relating to investments they would do. The investment decisions tend to avoid risk. Decision
makers in a positive frame risk conditions do not make decision that reduce the risk of gains they
already have. When risk information is presented in a negative frame, the participants chose to make
decisions that minimize losses that may arise as the results of an investment decision. Practical
implication of this study is that the investor needs to respond to the framing effect because a similar
problem with a different frame may result in a different choice. Investors need to be encouraged to
improve the knowledge and reduce bias in decision-making caused by the presence of framing in a
single set of accounting information. This smdy has proven to be useful in improving the ability to
analyze risk reports by financial analyst.
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