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Behavioral portfolio theory (BPT), put forth in 2000 by Shefrin and Statman, [1] provides an alternative to the assumption that the ultimate motivation for investors is the maximization of the value of their portfolios.
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Behavioral Finance attempts to explain the reasoning patterns of investors and measures the influential power of these patterns on the investor's decision making. The central issue in behavioral finance is explaining why market participants make irrational systematic errors contrary to assumption of rational market participants. [ 1 ]
Nicholas Barberis and Wei Xiong have depicted the disposition impact as the trade of individual investors are one of the most important realities. The influence, they note, has been recorded in all the broad individual investor trading activity databases available and has been linked to significant pricing phenomena such as post-earnings announcement drift and momentum at the stock level.
Quantitative behavioral finance [1] is a new discipline that uses mathematical and statistical methodology to understand behavioral biases in conjunction with valuation. The research can be grouped into the following areas:
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