Academic literature on the topic 'Investor psychology'

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Journal articles on the topic "Investor psychology"

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Kahneman, Daniel, and Mark W. Riepe. "Aspects of Investor Psychology." Journal of Portfolio Management 24, no. 4 (July 31, 1998): 52–65. http://dx.doi.org/10.3905/jpm.1998.409643.

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Asmilia, Nur. "TECHNICAL ANALYSIS: THE ROLE OF INVESTOR PSYCHOLOGY MEDIATING ON STOCK INVESTMENT BEHAVIOR." EAJ (ECONOMICS AND ACCOUNTING JOURNAL) 2, no. 1 (April 4, 2019): 26. http://dx.doi.org/10.32493/eaj.v2i1.y2019.p26-34.

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The purpose of this study is to prove empirically whether the technical factors represented by stock price indicators, trading volume and market capitalization have an influence on investor psychology. In addition, it is also to determine the effect of investor psychology on the behavior of stock investment. The number of data samples in this study that is as many as 108 respondents from the population of investors who have been chosen as the object of research. The sampling technique in this study is random sampling. The use of the technique is due to the population that is unknown to the researcher. Testing the hypothesis is tested by structural equation modeling. The results showed that stock prices, trading volume and market capitalization have a significant influence on investor psychology, and investor psychology is known to have a significant effect on stock investment behavior
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Brahmana, Rayenda, Chee-Wooi Hooy, and Zamri Ahmad. "Moon phase effect on investor psychology and stock trading performance." International Journal of Social Economics 41, no. 3 (March 4, 2014): 182–200. http://dx.doi.org/10.1108/ijse-04-2012-0134.

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Purpose – This article aims to examine how investor moods and aggressiveness differ in their state and influence investor stock market performance associated with the moon phase. The mechanisms and impact of full moon gravity on investor stock trading performance are explored through an experimental approach and econometrics model. Design/methodology/approach – A time-series quasi-experimental study, using the full moon and new moon time periods, was coupled with a psychometric test of investors' behaviours, administered through an online survey, similar to a pre-post experiment. Confirmation of the results was achieved by using an econometric model, adopted from Dichev and Janes. Findings – This research found that investor psychology is influenced by the full moon, but no effect was recorded during the new moon phase. Confirmed by the paired t-difference test, the small correlation, in addition to the quantitative model, the results show the full moon impacts market behaviour during its orbital phase. Consequently, the authors surmise that the full moon does influence investor cognition and emotion disarray, mood disorders, and aggressiveness, resulting in poor stock trading performance. Practical implications – The need for an active investment strategy is the major implication of this study. During the full moon phase, investors tend to be more aggressive and moody and seek hedonic utility instead of the traditional economics utility, meaning that they tend to follow the sentiment of the market. Originality/value – This paper fulfils an identified need to study how the full moon affects investor stock trading performance.
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Gennaioli, Nicola, Andrei Shleifer, and Robert Vishny. "Neglected Risks: The Psychology of Financial Crises." American Economic Review 105, no. 5 (May 1, 2015): 310–14. http://dx.doi.org/10.1257/aer.p20151091.

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We model a financial market in which investor beliefs are shaped by representativeness. Investors overreact to a series of good news, because such a series is representative of a good state. A few bad news do not change investor minds because the good state is still representative, but enough bad news leads to a radical change in beliefs and a financial crisis. The model generates debt over-issuance, “this time is different” beliefs, neglect of tail risks, under- and over-reaction to information, boom-bust cycles, and excess volatility of prices in a unified psychological model of expectations.
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Statman, Meir. "Investor Psychology and Market Inefficiencies." ICFA Continuing Education Series 1988, no. 2 (January 1988): 29–35. http://dx.doi.org/10.2469/cp.v1988.n2.6.

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Hirshleifer, David. "Investor Psychology and Asset Pricing." Journal of Finance 56, no. 4 (August 2001): 1533–97. http://dx.doi.org/10.1111/0022-1082.00379.

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Cross, Rod, Michael Grinfeld, Harbir Lamba, and Tim Seaman. "A threshold model of investor psychology." Physica A: Statistical Mechanics and its Applications 354 (August 2005): 463–78. http://dx.doi.org/10.1016/j.physa.2005.02.029.

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Inaishi, Ryota, Kaoru Toya, Fei Zhai, and Eisuke Kita. "Effect of Overconfident Investor Behavior to Stock Market." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 6 (September 20, 2010): 661–68. http://dx.doi.org/10.20965/jaciii.2010.p0661.

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Behavioral finance theory has been presented to explain the phenomena not explainable by conventional finance theory based on efficient market hypothesis from the investor psychology. We focused on overconfidence – an important psychological bias –, and analyzed the effect of overconfident investor behavior in stock market using multiagent simulation. We found that, based on the increase in overconfident market investors, market dealing increases and rising trends occur more often. An analysis of the relationship between overconfidence and rising trends shows that rising trends make investors even more overconfident.
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Archilles, Wendy, Jennifer Blaskovich, and Terence Pitre. "Corporate governance and reporting frequency: Hazards of more frequent reporting." Corporate Ownership and Control 6, no. 2 (2008): 298–303. http://dx.doi.org/10.22495/cocv6i2c2p4.

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There has been little research that has examined any of the possible consequences of frequent financial reporting. In this paper, we discuss and provide theoretical explanations for two negative consequences associated with more frequent reporting. Based on search from psychology and sociology we theorize how more frequent reporting can lead to (1) goal seeking behavior by managers, (2) inaccurate predictions from investors (3) higher dispersion of investor beliefs and (4) higher uncertainty of investor beliefs
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Majors, Tracie M. "The Interaction of Communicating Measurement Uncertainty and the Dark Triad on Managers' Reporting Decisions." Accounting Review 91, no. 3 (September 1, 2015): 973–92. http://dx.doi.org/10.2308/accr-51276.

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ABSTRACT I conduct an interactive experiment with participants in manager- and investor-like roles to examine whether and how mandating range disclosures for uncertain estimates will influence managers' reporting decisions. I find that managers report less aggressively when ranges are disclosed, such that investors have little aggressive reporting to identify using range disclosures. However, consistent with psychology theory, range disclosures have the greatest effect on managers with stronger levels of psychopathy, narcissism, or Machiavellianism (“the Dark Triad” of personality in psychology). Range disclosures discipline these managers' aggressive reporting, while managers with lower levels of all of these personalities have less aggressiveness to discipline and are insensitive to range disclosure. Consequently, mandating range disclosures should have the greatest effect on managers most in need of reining in—and is unlikely to reveal aggressive reporting to investors (as might be expected) because these managers reduce aggressiveness in anticipation of investor actions.
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Dissertations / Theses on the topic "Investor psychology"

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Eshraghi, Arman. "Professional investor psychology and investment performance : evidence from mutual funds." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/9705.

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In the seven decades following the Investment Company Act of 1940 coming into force in the United States, the mutual fund industry has undergone dramatic changes including, some argue, a transition from stewardship to salesmanship with asset-gathering becoming the industry’s driving force. As fund managers incrementally assumed a more pronounced role in the investment fund industry, an emerging strand of finance literature focused on their characteristics and their potential impact on investment performance. While a large body of academic research concurs that fund managers cannot outperform systematically better than chance, there are also a significant number of studies that link the psychological characteristics of investors to their investment performance. Importantly, we know that fund managers, as a representative sample of professional investors, often have to operate under enormous anxiety and associated psychic pressures. In their effort to cope with these pressures and make sense of an immensely unpredictable and complex work environment, a wide range of psychic defences and behavioural biases may be triggered. The purpose of this research is to investigate, on the one hand, to what extent mutual fund managers are prone to overconfidence and associated behavioural biases such as self-serving attribution. On the other hand, the extent to which overconfidence, proxied by a wide range of variables including overoptimism, excessive certainty and excessive self-reference, may have any bearing on fund performance is of interest. The fundamental question is why, how, and through which mechanisms does overconfidence affect performance. The underlying research questions are motivated by three large areas of research: studies of mutual fund performance and persistence, studies of financial accounting narratives, and studies of professional investor psychology. I also explore how overconfidence is fundamentally generated and, in a sense, resorted to by fund managers as a defence mechanism against the psychic pressures of having to work in a highly intangible, complex and uncertain environment. Drawing on evidence from fund manager reports written for investors, I explain how they use the medium of narratives, and in particular stories, to make sense of what they do as fund managers and their added value for clients. I demonstrate how analysing fund manager commentaries, both through computer-assisted corpus-linguistic approaches and through the “close reading” method, sheds light on the link between fund manager psychology and investment performance. In particular, from the perspective of narrative analysis, I explain how fund managers write their reports in distinguishably different genres depending, among others, on their past performance record, fund size and investment style. In addition, I establish in a longitudinal study that the overall economic environment in which fund managers operate does influence the rhetoric of fund manager reports as well as the evidence for the Pollyanna hypothesis. My findings also suggest that excessive overconfidence is associated, to a large extent, with diminished future investment returns. While superior past returns are expected to increase fund manager confidence which, in turn, may introduce the overconfidence bias in the investment decision-making process and thus diminish returns (through inefficient stock selection, suboptimal market timing and other possible mechanisms), this is not a simple regression towards the mean. The asset pricing model employed in my empirical analysis, the Carhart four-factor model, controls for the effect of previous-year momentum, and my overconfidence measures are only slightly correlated with the momentum figures. Hence, one is led to the conclusion that the narrative-based variables used in this study indeed capture some aspect of the professional investor psychology, and are capable of enhancing the explanatory power of conventional asset-pricing models such as Carhart’s. In investigating the dynamic relationship between fund manager overconfidence and investment performance, the cross-sectional variations in my study demonstrate that superior past performance boosts overconfidence as measured by all proxies employed. In addition, there appears to be an inverted-U relationship between overconfidence and subsequent investment performance. In particular, a hedging strategy based on shorting funds with extremely overconfident managers and going long in funds with normally (over)confident managers, yields positive average returns. The impact of overconfidence on subsequent returns is robust across different investment styles, although it is stronger among growth-oriented funds. Incorporating average scores for fund manager overconfidence over longer periods yields similar results. In addition, fund manager duration appears to correlate with managerial overconfidence in the long term.
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Vinces, Guillermo Baquero. "On hedge fund performance, capital flows and investor psychology." [Rotterdam] : Rotterdam : Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Erasmus University [Host], 2006. http://hdl.handle.net/1765/8192.

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Assenza, Gaudenz B. "Mobilizing private capital for the global environment : private financing of renewable energy and energy efficiency projects." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273089.

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Beydoun, Abdul. "Explaining Investor Preferences: The Significance of Socio-demographic, Ideological, and Attitudinal Factors." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/664.

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Previous research on investor preferences focused mainly on the relationship between socio-demographic variables and risk tolerance. This study extends the research in this area by focusing on three aspects of investor preferences: risk tolerance, time horizon, and estate intentions. The objective is to provide a more comprehensive model of investor preferences, including both psychological and attitudinal variables. This study addresses the following: Are socio-demographic variables sufficient to predict investor preferences? Is there a difference between males and females? How much additional variance is explained by including political ideology, positive psychology attitudes, and pro-social attitudes? Are these attitudinal variables simply additive or are they interactive? Data were collected from MBA students and senior undergraduate students in a major research university in South Florida. A scale was developed to measure estate intentions, a construct that has never been examined in management studies. The findings supported the expectation that psychological variables would be positively correlated with the dependent variables. However, I expected that pro-social attitudes would be a moderator variable, and this expectation was not realized. This dissertation contributes to the investor preferences field in several ways. First, it demonstrates the importance of psychological and attitudinal variables in explaining investor preferences. I also found differences between males and females regarding risk tolerance. This study can provide financial advisers with a deeper understanding of the importance of psychological and attitudinal variables in determining investor behavior. Finally, the results of this study augment and expand stakeholder theory. This study brings the investor into the stakeholder model, enhancing the descriptive, explanatory, and predictive capabilities of stakeholder theory. Future research could replicate this study using real investors in different locations for cultural variation, or using a panel of respondents for a longitudinal study.
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Obergruber, Petr. "Psychologie investora na devizových trzích." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162782.

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The topic of work "Investor's psychology on Foreign Exchange market" is to explain basic assumption for business on the Foreign Exchange markets and also methods how to profit on them. Work focus on soft factors, which are important in investor's decisions making process. These factors are typical for human's decisions, which are not always optimal from statistical and logical side, and may cause mistakes and investor's lost. The most important economic theories of client's behavior are used for conclusions. The major part of work foces on client as individual, describes his motivation, expectation, trade joining and risk adaptation. Theoretical data are participants of the research, which is based in two decision's making games. Conclutions are created from results of games and their comparison.
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Polnický, Martin. "Psychologie investora na trhu FOREX." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198619.

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In the introduction, this dissertation about "Psychology of an investor on the Forex market" introduces to the reader the prerequisites for trading on the foreign exchange market. On a theoretical level, it deals mostly with fundamental, technical as well as psychological analysis of prediction of development of exchange rates on the Foreign Exchange Market. Theoretical part also includes an outline of basic criteria for choosing a Forex broker and introduction of a trading platform. Practical part of the dissertation focuses on comparing and choosing a broker, plus the process for opening a real trading account; creating a trading plan and strategy, which will be used to apply different tools and indicators of technical analysis of inter-day trading of EUR/USD pair. In the conclusion, trading system created by myself is evaluated and psychological phenomenon affecting investors' decision-making during real Forex trading. This dissertation deals only with Spot Forex market, because trading through FX brokers is done on the Spot market.
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Hedesström, Ted Martin. "The psychology of diversification : novice investors' ability to spread risks /." Göteborg : Dept. of Psychology, Göteborg University : [Ted Martin Hedesström], 2006. http://hdl.handle.net/2077/278.

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Hedesström, Ted Martin. "The psychology of diversification$4novice investor's ability to spread risks /." Göteborg : Dep. of Psychology, Göteborg Univ, 2006. http://swbplus.bsz-bw.de/bsz255770812inh.pdf.

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Gherzi, Svetlana. "Psychological attributes of individual investors in finanical markets." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/67909/.

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The aim of this thesis is to understand which psychological attributes are important in explaining investors observed behavior within the financial markets and the economy. The dataset used for most part of the thesis consists of UK based individual investors. This research involves analysis of investors selective attention to information conditional on the past stock market returns and investors’ personality trait of neuroticism. The study also includes cross-sectional analysis of investors’ portfolio performance, risk preferences and trading behavior and how these relate to various self-reported psychological attributes. Lastly this study explores the impact of arousal and psychological attributes on investors’ trading behavior within an experimental framework. Standard models of economics assume that individuals are omniscient rational utility maximizers with stable risk preferences and such models leave no room for individual differences and emotions. The results of the current research provide evidence that psychological attributes play an important role in financial decision making and account for significant variation in investors’ information acquisition decisions, frequency of trades, risk preferences and portfolio performance. The objective of this thesis is to contribute to the growing field of behavioral finance by providing a finer picture of investors’ behavior and by suggesting alternative explanations that better reflect the behavior of the agents that populate the real world.
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Eng, Richard. "Exploring Investors' Decision Making Processes During the 2008 Financial Crisis Using Epstein's Cognitive Experiential Self-Theory| A Multiple-case Study." Thesis, Northcentral University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3669103.

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A longstanding controversy in financial economics is whether investors' rational forces or their emotional responses govern the asset pricing of the financial markets. Some psychology researchers use dual- process models to understand peoples' information processing. The problem is that some investors allow cognitive biases which operate quickly and automatically in the System 1 domain, to affect their decisions rather than respond deliberatively and rationally which are ascribed to the System 2 domain. The purpose of this study was to explore how and why investors, when faced with extreme stress impelled during the 2008 Financial Crisis, yielded to either System 1 or System 2 axis decision-making. Without evaluating the role that cognitive biases play in information processing, investors will not understand why they make inauspicious automatic decisions or grasp the steps that could help avoid realized losses in their stock portfolio. This qualitative research consisted of a multiple-case study that included in-depth semi-structured interviews of 12 investors who had at least $1 million invested in stocks and bonds and triangulation data analysis. The research findings indicated that stock market literacy and risk profiling are foundations for sound investing. When faced with a financial crisis, some investors displayed cognitive biases such as nervousness, worry, and fear that led to myopic loss aversion that caused them to sell their entire stock portfolio or reallocated into more conservative, less risky bonds. Some investors with no emotions and higher stock market literacy considered the financial crisis as a blip in the long-term upward trend performance of stocks and viewed the financial crisis as an opportunity to buy more stocks. For those investors that displayed emotions because of the financial crisis, emotion regulation strategies helped them make more controlled and deliberative investment decisions. Nevertheless, the decisions made by investors may be satisficing because of peoples' bounded rationality, the inherent information processing limitation of the human mind. The specific role of emotion in the duality of information processing was undetermined because the crisis evolved over time rather than a singular event. It is possible that quantitative determination of stock market literacy and the application of Epstein's Rational-Experiential Questionnaire and personality tests including satisfaction questions could shed further information on the dual-process mechanisms.

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Books on the topic "Investor psychology"

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Tech stock valuation: Investor psychology and economic analysis. San Diego, CA: Academic Press, 2003.

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Basu, Ritu. Financial contagion and investor "learning": An empirical investigation. [Washington, D.C.]: International Monetary Fund, Monetary and Exchange Affairs Department, 2002.

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1970-, Murtha Frank F., ed. MarketPsych: How to manage fear and build your investor identity. Hoboken, N.J: John Wiley & Sons, 2010.

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Behavioral finance and investor types: Managing behavior to make better investment decisions. Hoboken, NJ: Wiley, 2012.

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Investor Responsibility Research Center. 25th Anniversary Conference. Investor responsibility in the global era: Proceedings, 25th Anniversary Conference, October 26-28, 1997, Renaissance Mayflower Hotel, Washington, DC. Edited by Voorhes Meg, Mathiasen Carolyn, and Sesta Jennifer. Washington, DC: The Center, 1998.

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Bernstein, Jacob. The investor's quotient: The psychology of successful investingin commodities & stocks. 2nd ed. New York: J. Wiley, 1993.

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Bernstein, Jacob. The investor's quotient: The psychology of successful investing in commodities & stocks. 2nd ed. New York: J. Wiley, 1993.

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Kumar, Manmohan S. Pure contagion and investors' shifting risk appetite: Analytical issues and empirical evidence. [Washington, D.C.]: International Monetary Fund, Research Department, 2001.

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How investors can make money using mass psychology: A guide to your relationship to money. Belvedere, Calif: J. Dines, 1996.

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Tharp, Van K., Brett N. Steenbarger, Linda Bradford Raschke, Toni Turner, Christopher Terry, Philippa Huckle, Adrienne Laris Toghraie, and Bernie Schaeffer. SFO Personal Investor Series: Psychology of Trading. W&A Publishing, 2007.

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Book chapters on the topic "Investor psychology"

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Kramer, Lisa A. "Human Psychology and Market Seasonality." In Investor Behavior, 365–80. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118813454.ch20.

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Pitters, Julia, and Thomas Oberlechner. "The Psychology of Trading and Investing." In Investor Behavior, 457–76. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118813454.ch25.

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Shull, Denise K., Ken Celiano, and Andrew Menaker. "The Surprising Real World of Traders' Psychology." In Investor Behavior, 477–93. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118813454.ch26.

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Çömlekçi, İstemi, and Ali Özer. "Behavioral Finance Models, Anomalies, and Factors Affecting Investor Psychology." In Contributions to Economics, 309–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78494-6_15.

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Nofsinger, John R. "The Meme Investors of 2021." In The Psychology of Investing, 177–86. 7th ed. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003159704-13.

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"Overconfidence Overconfidence Affects Investor." In The Psychology of Investing, 19–31. Routledge, 2016. http://dx.doi.org/10.4324/9781315506579-7.

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Sahi, Shalini Kalra. "Investor Biases in Financial Decisions." In Handbook of Research on Behavioral Finance and Investment Strategies, 147–69. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7484-4.ch009.

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Financial Decisions involve making choices between various investment alternatives, with the aim of increasing the individual's net worth. The investor today is exposed to various investment options, but does not have the knowledge and capability of evaluating all the options and making a rational decision. Due to the limitation in the information processing capacities of the individuals, their beliefs and preferences, the investment decision-making process, gets biased. This chapter highlights ten such biases and throws light on how they impact investment behaviour, both positively and negatively. This understanding of investor psychology will generate insights that will benefit the financial advisory relationship. Further for Individuals, recognizing how the biases impact their financial decisions, can help create self-awareness and an understanding that would help them in better financial management, in case these tendencies are leading them to make unsatisfactory investments.
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"Chapter 13. Investor Psychology and Security Market Under- and Overreaction." In Advances in Behavioral Finance, Volume II, 460–501. Princeton University Press, 2005. http://dx.doi.org/10.1515/9781400829125-016.

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Güngör, Sezen, Engin Demirel, and Nihan Tomris Küçün. "Personality and Emotional Biases." In Behavioral Finance and Decision-Making Models, 139–61. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7399-9.ch008.

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Over the past decades, Cloninger et al. have developed a biosocial model of personality based on four temperaments and three characteristics. This multidimensional psychobiological model of personality presents in the temperament and character inventory – revised (TCI-R) form. Temperament subscales are novelty seeking (NS), harm avoidance (HA), reward dependence (RD), and persistence (P), and character subscales are self-directedness (SD), cooperativeness (CO), and self-transcendence (ST). The study has been used in different disciplines of science, especially in psychology. Behavioral finance is one of these disciplines of science. TCI is frequently used, especially for investor biases. In this chapter, TCI is used to examine the relationship between investor biases and personality. The first three chapters are about personality. Personality, personality approaches, and personality measurement methods examined in these sections. In the fourth part, emotional biases in financial investment decisions searched. In the fifth part, literature studies showing the relationship between personality and financial decisions included. Finally, a field survey is conducted, and findings are revealed.
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Lahmiri, Salim. "Neuromarketing Perspective of Consumer Choice." In Applications of Neuroscience, 286–95. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5478-3.ch013.

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Behavioural research attempts to study how individuals make decisions and interact and influence other individuals, organizations, markets and society. In this regard, applied neuroscience in human decision-making has gained an increasing attention in recent decades with emergence of two disciplines; namely neuroeconomics and neuromarketing. Indeed, neuroeconomics has emerged as a multidisciplinary research area that integrates knowledge from neuroscience, psychology, and economics to better understand economic decision making and to specify more accurate models of choice and decision. In particular, neuroeconomics is becoming an attractive area of study and research in financial decision making with particular emphasis on understanding investor sentiment and fear when faced to different investment opportunities characterized by various scenarios. In particular, it aims to understand and explain consumer decision process and influence of marketing key factors on consumer choice. As a result, companies may define appropriate marketing strategies based on neuromarketing studies.
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Conference papers on the topic "Investor psychology"

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Hsiao, Shu Chun, and Sun Pi-Chuan. "The Influence of Investor Psychology on Disposition Effect." In 9th Joint Conference on Information Sciences. Paris, France: Atlantis Press, 2006. http://dx.doi.org/10.2991/jcis.2006.96.

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XIE, RUOTING. "THE IMPACT OF INVESTOR SENTIMENT ON THE RETURN OF STOCKS—EMPIRICAL ANALYSIS BASED ON THE DCC-GARCH MODEL." In 2021 INTERNATIONAL CONFERENCE ON ADVANCED EDUCATION AND INFORMATION MANAGEMENT (AEIM 2021). Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/aeim2021/35991.

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Abstract. With the gradual inapplicability of the “rational man” and the efficient market hypothesis in the contemporary financial field, modern finance represented by behavioral finance has emerged. Behavioral finance is guided by the study of human psychology and behavior, exploring the internal connections and fluctuations in the financial market. Investor sentiment is often regarded as the most effective data reflected from a human perspective. Therefore, this article selects the monthly data of CICSI Investor Sentiment Index, Shenzhen Component Index, and Shanghai Composite Index logarithmic rate of return from February 2003 to December 2017, and establishes a DCCGARCH model for dynamic correlation analysis as an empirical study Basis, and draw conclusions. After research, it is found that there is a very obvious relationship between the investor sentiment index and the logarithmic return rate of the Chinese main board market. Particularly during periods of high investor sentiment, the negative correlation presented is more significant. Finally, based on the results of the research, this article makes recommendations for behavioral finance research, policy and regulation formulation, financial supervision and investors.
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Sun, Wei. "Portfolio Selection Strategies with Investor Psychology and Behavior under Fuzzy Random Environment." In 2015 8th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2015. http://dx.doi.org/10.1109/iscid.2015.189.

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Günay, Nergin. "Economic Science Considering with a Thermodynamic Perspective of a Physicist's Point of View." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01559.

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Economy is a discipline by means of its structure which closely interests all humanities live non-stop whether they are directly related or not which in a relationship with mathematic as calculations, psychology as searching investor behaviors, sociology as searching social events, philosophy as structural reviews of the created environment and many kind of disciplines more. In this study based on a survey of the relevant literature, the common features of economy with physics is a supporter in the recent years are revealed. Concept passed into world literature as Econophysics or alias Econphysics is defined. Econophysics is a study field tries to find solutions to economic problem by using physical methods. The main tool is used by the econophysics are statistical and probability methods are taken from statistical physics frequently. Information related to implementation of the laws of thermodynamics which is the branch dealing with the energy and physical energy exchange economic problems are given. The laws of thermodynamics have a very general validity and they do not change depending on the characteristics of the studied system. In this regard, how thermodynamic physics are applied into economics practices are given in detail.
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Ji, Shangzhou. "The Psychology of Small and Medium Investors under Different Market Environment." In 2011 International Conference on Business Computing and Global Informatization (BCGIn). IEEE, 2011. http://dx.doi.org/10.1109/bcgin.2011.151.

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Chen, Yuning. "Analysis of China’s Stock Market and the Psychology of Individual Investors based on Behavioral Finance." In Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ssmi-19.2019.35.

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Chuang, Li. "Microcosmic Mechanism of the Influence of Investor's Psychology and Behavior on Stock Price Volatility." In 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/kese.2009.8.

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Arh, Patrik, Ana Lambić, Žan Černivec, and Miha Marič. "Management tveganj pri investiranju: primer investicije v kripto valute." In Values, Competencies and Changes in Organizations. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-442-2.2.

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We focused on investing and the risks, that accompany investors, through an overview of the basics of risk management in the context of investing, and then focused on the psychology of risk in investing. We highlighted and explained the common forms of risks that are present in various investments in financial instruments. With a critical analysis of the field, we present our examples and experiences with investing. Through the framework of the theoretical review of the literature, we analyse the risks we have encountered and the ways or strategies by which we have either eliminated these risks or reduced the probability of their occurrence. We also paid attention to risks, according to our perceptions over the period, from the first investment in cryptocurrencies to investing in shares and index funds.
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محمد عيدي, جاسم. "Psychlogical Counseling Styles and Their Techniques in Coping with Genocide Victims." In Peacebuilding and Genocide Prevention. University of Human Development, 2021. http://dx.doi.org/10.21928/uhdicpgp/28.

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"Abstract Genocide has affected human societies since ancient times, and in the modern era the genocide is a global phenomenon: from the massacres in colonial America, Africa and Australia.. to the Holocaust of European Jews and mass death in Maoist China, Cambodia, Palestine and Burma, and in our Iraqi reality there are what is known as the Anfal, Halabja and the genocide of the people of Marshes, Speicher and Sinjar are examples for the genocide in our country, and in recent years the system of genocide studies has developed to provide analysis and understanding of the phenomenon and an understanding of the psychology of violence as well as the development of counseling and psychological assistance for survivors within the psychology of genocide survivors, and since psychological counseling as an applied branch of psychology it contributes to helping individuals survivors of the horror of the genocide.. to see and realize their psychological strength and resilience and to invest the best options, resources and opportunities available to them (Gladding, 1996). Therefore, the current research comes to review a number of counseling styles and their techniques with the victims of genocide, and their role in overcoming the painful experiences of extermination to which these individuals were exposed. The research concludes with a number of conclusions and suggestions in making the support and assistance necessity and higher value imposed by human, ethical and religious considerations. The research also recommends to adopt a national strategy that the state has to adopt in most of its institutions in establishing support and assistance centers for victims of genocide. "
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Reports on the topic "Investor psychology"

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Birr, Caroline, Antonio Hernández-Mendo, Diogo Monteiro, and António Rosado. Empowering and Disempowering Motivational coaching: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0067.

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Review question / Objective: The multidimensional model of empowering and disempowering coach climates created by Duda (2013) has a great relevance within the scope of intervention in the context of Sport Psychology. This scoping review of studies summarizes the scientific production about the empowering and disempowering motivational climates created by Duda (2013). The search included the, Web of Science, Scopus, Psycinfo, and Pubmed databases for English, Portuguese and Spanish articles published between 2013 and 2022. A total of 44 studies were found, which 22 were included in the present study. From the 22 studies, 16 were cross- sectional studies, 4 were psychometrics validation studies, 1 concerned a transversal cohort study and 1 concerned a qualitative study. The coach-created Empowering and Disempowering motivational questionnaire (EDMCQ-C) is, the most used and with the necessary psychometric qualities when it comes to assessing the empow-ering and disempowering motivational climates and their various impacts. We describe results concerning the measurement, antecedents and effects of empowering and disempowering coach climates and future research should invest in the study of empirical evidence that could be added to the existing nomological framework, considering antecedents, development, direct and indirect effects, moderating effects, aggregated effects and qualitative studies.
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