Literature Review On Investment

Literature Review On Investment-52
The purpose of this paper is to study and describe several biases in investment decision-making through the review of research articles in the area of behavioral finance.It also includes some of the analytical and foundational work and how this has progressed over the years to make behavioral finance an established and specific area of study.

The purpose of this paper is to study and describe several biases in investment decision-making through the review of research articles in the area of behavioral finance.It also includes some of the analytical and foundational work and how this has progressed over the years to make behavioral finance an established and specific area of study.Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection. https://doi.org/10.1108/QRFM-07-2014-0022 Download as .

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This paper does not only focus on the basic principles of behavioral finance but also explain some emerging concepts and theories of behavioral finance. (2018), "Do investors exhibit behavioral biases in investment decision making? Several theories and assumptions have been put forward by known scholars to explain the functioning of the finance models.

To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. (2015), "Behavioural biases in investment decision making – a systematic literature review", Qualitative Research in Financial Markets, Vol.

This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.

These papers are collected over a period of year’s right from the time when the most introductory paper was published (1979) that contributed this area a basic foundation till the most recent papers (2016).

These articles are segregated into biases wise, year-wise, country-wise and author wise.

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