Federal Research Division Library of Congress doc Annotated Bibliography on the Behavioral Characteristics of U.S. Investors

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Annotated Bibliography on the Behavioral Characteristics of U.S. Investors

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15,2 x 0,6 x 22,9 cm 20,3 x 0,2 x 26 cm Aeryn Cartwright N&S Collection 3 Haziran 2009 Gerardus Blokdyk 31 Ağustos 2012 Icon Group International 1 Ocak 2013 20,3 x 0,3 x 26 cm 20,3 x 0,4 x 26 cm 25 Mayıs 2010 21,6 x 0,3 x 27,9 cm Kolektif 21,6 x 0,6 x 27,9 cm 29 Ağustos 2009 NAN RIEWALDT 28 Şubat 2018
okumak okumak kayıt olmadan
yazar Federal Research Division Library of Congress
isbn 10 1503339084
isbn 13 978-1503339088
Yayımcı CreateSpace Independent Publishing Platform
Dilim İngilizce
Boyutlar ve boyutlar 21,6 x 0,3 x 27,9 cm
Tarafından yayınlandı Annotated Bibliography on the Behavioral Characteristics of U.S. Investors 25 Kasım 2014

Investor behavior is a hotly debated topic within the academic community. One relatively new area of study is the field of behavioral finance, which highlights departures from rational behavior in investing. Behavioral finance theory poses a challenge to many of the long-established assumptions of the rational expectations school of thought, which posits that people (investors) maximize utility (returns), acting rationally and in their self-interest. By focusing on the psychological and behavioral elements in the determination of stock prices, behavioral finance also challenges the efficient market hypothesis (EMH), which holds that market prices reflect all known information. EMH, developed by University of Chicago economist and Nobel Laureate Eugene Fama, implies that beating the market by identifying undervalued securities is impossible. Whether EMH remains valid is beyond the scope of this annotated bibliography, which is more concerned with investor behavior than with market efficiency. In other words, how the market behaves is not relevant here. Instead, the focus of this bibliography is on how investors behave and on how investor education may help them avoid common mistakes. This bibliography covers the last 15 years. This annotated bibliography draws primarily on the work of economists and finance professors, who support their conclusions with extensive statistical models based on actual investor activity. However, the bibliography also provides references from the social sciences, such as psychology and sociology, because behavioral finance is a multidisciplinary field, spanning a wide range of socioeconomic analyses. For example, risk aversion is related to the psychological concept of prospect theory. Princeton psychologist and Nobel Laureate Daniel Kahneman and the late psychologist Amos Tversky, who was last affiliated with Stanford University, developed prospect theory to explain how people maximize value or utility in choosing between alternatives that involve risk. Kahneman’s article, “Aspects of Investor Psychology,” co-authored with Charles Schwab executive Mark W. Riepe, is included in this bibliography. The perspective of sociology is represented in the article, “Financial Manias and Panics: A Socioeconomic Perspective,” by York University economist Brenda Spotton Visano, who shows how sociologists’ theories shed light on the phenomena of manias and panics. Similarly, in the article, “On Financial Frauds and Their Causes: Investor Overconfidence,” Steven Pressman, an economist at Monmouth University, maintains that empirical psychology, which analyzes how people make choices when confronted with uncertainty, offers a better explanation of how Ponzi schemes thrive than neoclassical economics, which emphasizes the role of asymmetric information in risky situations. Even neuroscience can illuminate investor behavior: in “Affect and Financial Decision-Making: How Neuroscience Can Inform Market Participants,” a physician, Dr. Richard L. Peterson links risk avoidance and risk taking to separate brain systems. The 52 abstracts in the bibliography are arranged according to the following categories, with the number of abstracted articles in each category provided in parentheses:

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