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Journal articles on the topic 'Behavioral finance'

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1

Shefrin, Hersh. "Special Issue ofQuantitative Financeon ‘Behavioral Finance’." Quantitative Finance 14, no. 4 (March 20, 2014): 587–88. http://dx.doi.org/10.1080/14697688.2014.896570.

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2

Kapor, Predrag. "Behavioral finance." Megatrend revija 11, no. 2 (2014): 73–94. http://dx.doi.org/10.5937/megrev1402073k.

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3

Repin, Dmitry. "Behavioral Finance." Journal of Economic Sociology 9, no. 5 (2008): 102–12. http://dx.doi.org/10.17323/1726-3247-2008-5-102-112.

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4

Schneider, Heidi L., and Alyssa A. Lappen. "Behavioral Finance." Journal of Wealth Management 3, no. 2 (July 31, 2000): 9–14. http://dx.doi.org/10.3905/jwm.2000.320382.

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5

Ritter, Jay R. "Behavioral finance." Pacific-Basin Finance Journal 11, no. 4 (September 2003): 429–37. http://dx.doi.org/10.1016/s0927-538x(03)00048-9.

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6

Hirshleifer, David. "Behavioral Finance." Annual Review of Financial Economics 7, no. 1 (December 7, 2015): 133–59. http://dx.doi.org/10.1146/annurev-financial-092214-043752.

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7

PFIFFELMANN, Marie, and PATRICK ROGER. "Behavioral Finance." Bankers, Markets & Investors 164 (April 22, 2021): 1–2. http://dx.doi.org/10.54695/bmi.164.4765.

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8

Statman, Meir. "Behavioral Finance versus Standard Finance." AIMR Conference Proceedings 1995, no. 7 (December 1995): 14–22. http://dx.doi.org/10.2469/cp.v1995.n7.4.

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9

BARABASH, L. V. "PSYCHOLOGY OF FINANCE AND BEHAVIORAL FINANCE: POINTS OF CONTACT AND DIFFERENCES." REVIEW OF TRANSPORT ECONOMICS AND MANAGEMENT, no. 7(23) (February 11, 2023): 151–55. http://dx.doi.org/10.15802/rtem2022/258047.

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Modern financial science is always looking for cause-and-effect relationships in practice. And to help her come not quite traditional methods and spheres of influence inherent in behavioral finance and financial psychology. Goal. The aim of the article is to study the similarities and differences between behavioral finance and the psychology of finance and to determine whether the two sciences are identical or whether their functioning is distinguished by certain contradictions. Method. The following methods were used during the research: dialectical - to clarify the relevance of the research issue in the modern financial environment; modeling - to illustrate the sphere of interaction of behavioral finance and psychology of finance with other sciences; analytical - when comparing the elements of interaction and the target direction of the studied objects; induction - to formulate conclusions. Results. The article analyzes the features of theoretical approaches to understanding the essence of behavioral finance and psychology of finance. The range of their interaction with other sciences has been determined and it has been found that the studied sciences closely intersect in the plane of psychological determinants and tangentially in the sociological spectrum. The basic aspects of realization of both behavioral finances and psychology of finances are determined. It is also noted that they differ in the perception of the individual as a participant in financial processes. Scientific novelty. As a result of the study, it was noted that the psychology of finance is not identical to behavioral finance, as it focuses on studying the psychological characteristics of the individual in order to shape it as a driver of sociological change, and behavioral finance means it as part of established social phenomena. Practical significance. The psychology of finance can be considered the initial link of behavioral finance, which is due to its in-depth study of the psychological characteristics of the individual, aimed at himself. This provides an opportunity to understand, within the framework of behavioral finance, how to form areas of influence on the individual and motivate him to make certain financial decisions, and thus - to obtain the desired financial result.
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Frühwirth, Manfred. "Behavioral Corporate Finance." Zeitschrift für das gesamte Bank- und Börsenwesen 69, no. 11 (2021): 777. http://dx.doi.org/10.47782/oeba202111077701.

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Frühwirth, Manfred. "Behavioral Corporate Finance." Zeitschrift für das gesamte Bank- und Börsenwesen 69, no. 10 (2021): 691. http://dx.doi.org/10.47782/oeba202110069101.

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12

Nilawati, Levi. "Behavioral Corporate Finance." Riset Akuntansi dan Keuangan Indonesia 3, no. 1 (March 6, 2017): 62–71. http://dx.doi.org/10.23917/reaksi.v3i1.3479.

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13

Shefrin, Hersh. "BEHAVIORAL CORPORATE FINANCE." Journal of Applied Corporate Finance 14, no. 3 (September 2001): 113–26. http://dx.doi.org/10.1111/j.1745-6622.2001.tb00443.x.

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14

Pujara, Vikas, and Bhavesh P. Joshi. "Indian Behavioral Finance." International Journal of Applied Behavioral Economics 9, no. 3 (July 2020): 54–67. http://dx.doi.org/10.4018/ijabe.2020070104.

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Behavioral finance is a relatively new field of study that combines cognitive psychology and thoughts of leaders in economics, finance, and behavioral psychology to explore the driving forces behind the financial decisions that people make. Making a decision is a complex procedure that embraces cognitive and psychological biases. The paper attempts to explore and document the literature available to review the biases in an Indian context, highlighting specific and variable factors that impact, such as personality traits, and plausibly explain the difference in the behavior from a traditional behavioral finance model. The review of literature suggests that behavioral finance in an Indian context has a pattern, which can be followed to interpret and understand the psychology of Indian investors. A conceptual framework is proposed that considers various factors that can enable understanding Indian behavioral finance. In particular, the impact of personality and financial determinants appear to be imperative to studying behavioral bias in the Indian context.
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15

Kliger, Doron, Martijn J. van den Assem, and Remco C. J. Zwinkels. "Empirical behavioral finance." Journal of Economic Behavior & Organization 107 (November 2014): 421–27. http://dx.doi.org/10.1016/j.jebo.2014.10.012.

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16

McGoun, Elton G., and Tatjana Skubic. "Beyond Behavioral Finance." Journal of Psychology and Financial Markets 1, no. 2 (June 2000): 135–44. http://dx.doi.org/10.1207/s15327760jpfm0102_5.

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17

Baker, H. Kent. "Behavioral Corporate Finance: Concepts and Cases for Teaching Behavioral Finance." Quantitative Finance 19, no. 2 (January 17, 2019): 187–88. http://dx.doi.org/10.1080/14697688.2019.1560994.

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18

Illiashenko, Pavlo. "Behavioral Finance: History and Foundations." Visnyk of the National Bank of Ukraine, no. 239 (March 29, 2017): 28–54. http://dx.doi.org/10.26531/vnbu2017.239.028.

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Recent evidence suggests that ideology has the potential to affect academic research in economics and that exposure to a wide range of approaches may increase intellectual diversity, eventually leading to better decisions. Therefore, writing a literature review in behavioral finance, in principle, can bring benefits to a wide range of readers, especially since the field of behavioral finance itself has already grown into a complex web of related but distinct sub-fields and reached a stage when it can guide policy decisions. This review differs from the existent ones as it focuses on the history of the field and its psychological foundations. While the review of psychological foundations is necessary to appreciate the benefits of a behavioral approach and understand its limitations, even a brief historical detour may provide a compelling case against a naive dichotomy between behavioral and classical finance.
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19

Statman, Meir. "Behavioral finance: Finance with normal people." Borsa Istanbul Review 14, no. 2 (June 2014): 65–73. http://dx.doi.org/10.1016/j.bir.2014.03.001.

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20

Shogren, Jason F. "Microeconomics: Behavioural Economics and Finance." Journal of Economic Literature 51, no. 4 (December 1, 2013): 1192–94. http://dx.doi.org/10.1257/jel.51.4.1183.r5.

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Jason F. Shogren of University of Wyoming reviews, “Behavioural Economics and Finance” by Michelle Baddeley. The Econlit abstract of this book begins: “Explores key concepts and insights from behavioral economics and its interdisciplinary approach to real-world decision making. Discusses foundations—psychology; foundations—neuroscience and neuroeconomics; learning; sociality and identity; heuristics and biases; prospects and regrets; personality, moods, and emotions; time and plans; bad habits; financial instability; and behavioral macroeconomics, happiness, and well-being. Baddeley is Fellow and Director of Studies (Economics) at Gonville and Caius College, Cambridge University.”
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21

Wong, Wing-Keung. "Review on behavioral economics and behavioral finance." Studies in Economics and Finance 37, no. 4 (June 19, 2020): 625–72. http://dx.doi.org/10.1108/sef-10-2019-0393.

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Purpose This paper aims to give a brief review on behavioral economics and behavioral finance and discusses some of the previous research on agents' utility functions, applicable risk measures, diversification strategies and portfolio optimization. Design/methodology/approach The authors also cover related disciplines such as trading rules, contagion and various econometric aspects. Findings While scholars could first develop theoretical models in behavioral economics and behavioral finance, they subsequently may develop corresponding statistical and econometric models, this finally includes simulation studies to examine whether the estimators or statistics have good power and size. This all helps us to better understand financial and economic decision-making from a descriptive standpoint. Originality/value The research paper is original.
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22

Jegadeesh, Narasimhan, and Richard H. Thaler. "Advances in Behavioral Finance." Journal of Finance 50, no. 1 (March 1995): 396. http://dx.doi.org/10.2307/2329257.

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23

Schmidt, Robert, and Oliver Hülsewig. "Wechselkurstheorie und "Behavioral Finance"." WiSt - Wirtschaftswissenschaftliches Studium 31, no. 12 (2002): 710–14. http://dx.doi.org/10.15358/0340-1650-2002-12-710.

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24

Sisbintari, Ika. "Sekilas Tentang Behavioral Finance." Jurnal Ilmiah Administrasi Bisnis dan Inovasi 1, no. 2 (March 28, 2018): 88. http://dx.doi.org/10.25139/jai.v1i2.814.

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Banyak anomaly pasar yang belum mampu dijelaskan oleh teori investasi.Hal ini membuat para pakar keuangan untuk menoleh kembali pada aspek non keuangan seperti psikologi investor.Oleh karena itu teori investasi saat ini berkembang dengan memperhatikan aspek perilaku investor di pasar modal.Muncullah yang disebut Behavioral Finance.Behavioral Finance merupakan suatu disiplin ilmu yang mengkaitkan tiga disiplin ilmu yaitukeuangan, sosiologi dan psikologi.Behavioral Finance bukan bertujuan untuk melawan Standart Finance tapi merupakan perkembangannya.Hal ini dikarenakan sentral kajian Behavioral Finance tetap Keuangan.Tujuan tulisan ini adalah untuk menjelaskan bahwa behavioral financemerupakan pelengkapstandar/tradistionalt finance.Kajian ini menggunakan analisis deskriptif dari hasil-hasil penelitian.Kata kunci : Behavioral Finance, Standar/Tradisional Finance, Perilaku Investor.
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25

Sukandar and Tona Aurora Lubis. "Behavioral Finance and Sports." Advanced Science Letters 23, no. 8 (August 1, 2017): 7192–93. http://dx.doi.org/10.1166/asl.2017.9326.

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26

Statman, Meir. "A Unified Behavioral Finance." Journal of Portfolio Management 44, no. 7 (July 31, 2018): 124–34. http://dx.doi.org/10.3905/jpm.2018.44.7.124.

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27

Bouteska, Ahmed, and Boutheina Regaieg. "Psychology and behavioral finance." EuroMed Journal of Business 15, no. 1 (November 25, 2019): 39–64. http://dx.doi.org/10.1108/emjb-08-2018-0052.

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Purpose The purpose of this paper is to detect quantitatively the existence of anchoring bias among financial analysts on the Tunisian stock market. Both non-parametric and parametric methods are used. Design/methodology/approach Two studies have been conducted over the period 2010–2014. A first analysis is non-parametric, based on observations of the sign taking by the surprise of result announcement according to the evolution of earning per share (EPS). A second analysis uses simple and multiple linear regression methods to quantify the anchor bias. Findings Non-parametric results show that in the majority of cases, the earning per share variations are followed by unexpected earnings surprises of the same direction, which verify the hypothesis of an anchoring bias of financial analysts to the past benefits. Parametric results confirm these first findings by testing different psychological anchors’ variables. Financial analysts are found to remain anchored to the previous benefits and carry out insufficient adjustments following the announcement of the results by the companies. There is also a tendency for an over/under-reaction in changes in forecasts. Analysts’ behavior is asymmetrical depending on the sign of the forecast changes: an over-reaction for positive prediction changes and a negative reaction for negative prediction changes. Originality/value The evidence provided in this paper largely validates the assumptions derived from the behavioral theory particularly the lessons learned by Kaestner (2005) and Amir and Ganzach (1998). The authors conclude that financial analysts on the Tunisian stock market suffer from anchoring, optimism, over and under-reaction biases when announcing the earnings.
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28

Kim, Kenneth A., and John R. Nofsinger. "Behavioral finance in Asia." Pacific-Basin Finance Journal 16, no. 1-2 (January 2008): 1–7. http://dx.doi.org/10.1016/j.pacfin.2007.04.001.

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29

Du, Ding. "Momentum and behavioral finance." Managerial Finance 38, no. 4 (March 9, 2012): 364–79. http://dx.doi.org/10.1108/03074351211207527.

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30

Nedev, Bozhidar. "Traditional or behavioral finance?" Economic Thought journal 63, no. 3 (June 20, 2018): 113–34. http://dx.doi.org/10.56497/etj1863306.

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The main differences between the neoclassical financial theory and behavioural finance are presented. They include the concept of rational economic agents, the notion of objective probability, the capital asset pricing models, the portfolio theory and the efficient market hypothesis. The theory of expected utility and the prospect theory are the most distinguished scientific achievements in conventional and behavioural finance respectively. The theoretical assumptions and the practical implementations, on which they are built, are summarized. The psychological effects, determining the decision making process of economic agents in uncertainty, are alleged and compared to the notions of the normative theory. The two different viewpoints of the two opposing fields in finance are presented with regard to the financial markets and instruments, the decisions made by investors and the portfolios constructed by them.
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31

Nkukpornu, Etse, Prince Gyimah, and Linda Sakyiwaa. "Behavioural Finance and Investment Decisions: Does Behavioral Bias Matter?" International Business Research 13, no. 11 (October 21, 2020): 65. http://dx.doi.org/10.5539/ibr.v13n11p65.

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This paper examines the nexus between behavioural bias and investment decisions in a developing country context. Specifically, this study tests the effect of four behavioural biases (overconfidence, regret, belief, and “snakebite”) on investment decisions. Descriptive statistics and inferential statistics including multiple regression are used to examine the behavioural biases-investment decisions nexus. The study reveals that the four bias have a significant positive and robust relationship with investment decision making. The result also shows that the "snakebite" effect contributes more to the decision making, followed by belief bias then regret bias. Overconfidence bias, however, contributes the least effect on investment decisions. Our contribution confirms the prospect theory and that behavioural bias influences investment decisions in the developing country perspective. 
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32

Fedotova, M., V. Pleskachevskiy, V. Rutgaizer, and A. Buditskiy. "Behavioral Valuation: Behavioral Finance and Its Implications for Business Valuation." Voprosy Ekonomiki, no. 5 (May 20, 2009): 104–17. http://dx.doi.org/10.32609/0042-8736-2009-5-104-117.

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In the article the contemporary ideology of behavioral finance is discussed. The authors consider the development of behavioral finance and formulate its key principles basing on the analysis of the research literature. The opportunity of using behavioral finance in the theory and practice of business valuation is investigated. Separate components of behavioral finance are suggested for application to business valuation in order to increase its efficiency. Future directions of the research in the field of behavioral finance and behavioral valuation are presented.
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Singh, Dr Prabha, and Dr Sumati Sidharth. "Neurofinance: The New Era of Finance Based on Behavioral Finance and Individual Investment Behavior." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (October 1, 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26259.

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This paper highlights the effects of neurofinance, which is the study of the human brain and its impact on financial decision-making behavior. It explains why humans often deviate from the principles of conventional finance theory. The primary objective of this paper is to review the field of behavioral finance, including the emerging area of Neurofinance research conducted within this domain. In order to achieve this goal, behavioral finance, its characteristics and Neurofinance are briefly presented. Financial and investment decisions made by individuals are considered to be both cognitive and biased, as they are executed by neural processes. This study is largely based on secondary sources of data, making it research rooted in conceptual analysis. Keywords: Neurofinance, Behavioural Finance, Cognitive Psychology, Investment Decision.
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34

Misumi, Takashi. "Finance and Psychology: A Road to Behavioral Finance." TRENDS IN THE SCIENCES 7, no. 3 (2002): 82–83. http://dx.doi.org/10.5363/tits.7.3_82.

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35

Yazdipour, Rassoul. "Behavioral Finance and Entrepreneurial Finance: A Short Note." Journal of Entrepreneurial Finance 11, no. 1 (December 1, 2006): 1–2. http://dx.doi.org/10.57229/2373-1761.1229.

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36

Calma, Angelito. "Journal of Behavioral Finance in retrospect." Review of Behavioral Finance 11, no. 4 (November 11, 2019): 468–76. http://dx.doi.org/10.1108/rbf-06-2018-0059.

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Purpose The purpose of this paper is to examine the impact and contribution of the Journal of Behavioral Finance (JBF). Design/methodology/approach It uses the metadata from 328 journal articles (2004–2017) extracted from Scopus and Web of Science. The data included 2,602 author-submitted keywords, 1,825 index keywords and 310 abstracts. Findings Results indicate that JBF is still a young journal with 196 academic articles cited by 372 documents. Most citations come from JBF itself and the Journal of Behavioral and Experimental Finance. Mesly and Seiler are the most published, University of Gothenberg has more contributions than any other institution while the USA, Australia and UK represent nearly half of those citations. Investment policy is the most used author keyword next to behavioural finance, while risk is the most used index keyword. The most commonly used words in abstracts are investor or investors. The implications of and for JBF are discussed. Originality/value It is a unique and novel approach to analysing almost the entire publication history of the journal by using citation analysis.
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37

Leković, Miljan. "Behavioral finance as an answer to the limitations of standard finance." Bankarstvo 49, no. 3 (2020): 36–76. http://dx.doi.org/10.5937/bankarstvo2003036l.

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Moving the standard finance theory further away from practice has led to an increased criticism of standard finance. Much evidence in favor of the absence of perfect investor rationality have called for the need of a new approach and a new point of view offered by behavioral finance. Behavioral finance relies on standard finance, supplements its theory and, according to behavioral economists, gradually substitutes it; however, behavioral finance also faces a number of limitations. The aim of this research is to find answers to the question of whether preference should be given to standard or behavioral finance, in terms of finance theory and investment practice. By applying the methods of qualitative economic analysis, it has been concluded that we should strive towards the integrated application of these theoretical frameworks in order to achieve their synergy, exploit the positive and concurrently eliminate the negative aspects. An example of a theoretical approach that reconciles the differences between standard and behavioral finance is Adaptive Markets Hypothesis (AMH), which is given particular attention in the paper and has not been discussed in the literature in the Republic of Serbia thus far.
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38

Ahmed, Mohamed S. "A Look at Behavioral Finance." International Journal of Economics and Finance 12, no. 3 (February 28, 2020): 73. http://dx.doi.org/10.5539/ijef.v12n3p73.

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Behavioral theory in finance ties finance theory and practice to human behavior. This paper aims at reviewing behavioral finance principles, concepts and theories. This paper starts with the shift from EMH/CAPM paradigm to behavioral finance. Then, the paper goes through the financial anomalies including the size effect, value effects, momentum effects, weekend effect and turn-of-the year effect. Finally, the paper addresses the key pillars of behavioral finance by explaining the limits to arbitrage and the main behavioral biases.
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39

Bogatyrev, S. Yu. "Behavioral finance: Relevance and rationale." Finance and Credit 25, no. 2 (February 28, 2019): 348–59. http://dx.doi.org/10.24891/fc.25.2.348.

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40

Ashna, W., and S. K. Mugdha. "Behavioral finance and COVID-19." CARDIOMETRY, no. 23 (August 20, 2022): 236–43. http://dx.doi.org/10.18137/cardiometry.2022.23.236243.

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According to Ram, characterized by a market crash and excessive stock price volatility, the COVID-19 pandemic had striking financial impacts. Some of the phenomena that occurred through the catastrophe, like the extreme volatility and unshakable confidence of fiscal associations, are not sufficiently explicated by the conventional financial paradigm. In addition to the effect of COVID-19 on financial markets of the globe, this paper explores the decisions and actions of investors and financial institutions from a behavioral finance perspective. Relevant during and after the crisis, various cognitive biases and errors are also discussed. The current paper is a literature review of the existing research on behavioral finance’s effect on the COVID-19 epidemic. A cautious evaluation of these 13 articles divulged no material pertinent to behavioral finance. The remaining 27 articles were incorporated in this analysis. We explore these phenomena and evaluate their significance to financial markets and institutions and the global crisis stimulated by COVID-19.
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41

Wibhisono, Kunto. "Efisiensi Pasar dan Behavioral Finance." Riset Akuntansi dan Keuangan Indonesia 3, no. 1 (March 6, 2017): 82–87. http://dx.doi.org/10.23917/reaksi.v3i1.3481.

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42

Leal, Cristiana Cerqueira. "Behavioral Finance and investment decisions." Revista de Administração de Empresas 55, no. 1 (February 2015): 101. http://dx.doi.org/10.1590/s0034-759020150111.

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43

Tufan, Ekrem. "Banking sector and behavioral finance." Europa Regionum 30 (2017): 67–76. http://dx.doi.org/10.18276/er.2017.30-05.

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44

Malkiel, Burton, Sendhil Mullainathan, and Bruce Stangle. "Market Efficiency versus Behavioral Finance." Journal of Applied Corporate Finance 17, no. 3 (June 2005): 124–36. http://dx.doi.org/10.1111/j.1745-6622.2005.00053.x.

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45

Thaler, Richard H. "The End of Behavioral Finance." Financial Analysts Journal 55, no. 6 (November 1999): 12–17. http://dx.doi.org/10.2469/faj.v55.n6.2310.

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46

Shefrin, Hersh. "Recent Developments in Behavioral Finance." Journal of Wealth Management 3, no. 1 (April 30, 2000): 25–37. http://dx.doi.org/10.3905/jwm.2000.320376.

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47

Asbaruna, Latifah Wulandari Binti, Nugraha Nugraha, Disman Disman, Ika Putra Waspada, and Ridwan Ismail Gorib. "Behavioral Finance in Financial Activities." Eurasia Proceedings of Educational and Social Sciences 37 (October 30, 2024): 1–7. https://doi.org/10.55549/epess.852.

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Behavioral finance has emerged as an important field in understanding how psychological and emotional factors influence financial decision making. Behavioral finance offers a new perspective that explains various market anomalies that cannot be explained by conventional financial theory. The type of data used is secondary data, namely data that is not directly provided to data collectors, this data is obtained from books, scientific articles and internet sites, materials related to behavioral finance. The data collection technique in this research is a literature study that is directly related to behavioral finance. This research aims to explore existing literature regarding the role of Behavioral Finance in financial activities, with a focus on how cognitive biases, emotions, and other psychological factors influence investor behavior and the market as a whole. Through a systematic literature review, this research seeks to identify key trends, research gaps, and practical implications of findings in this domain, so as to provide more comprehensive insights for academics and practitioners in the field of finance.
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48

van der Sar, Nico L. "Behavioral finance: How matters stand." Journal of Economic Psychology 25, no. 3 (June 2004): 425–44. http://dx.doi.org/10.1016/j.joep.2004.02.001.

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49

Evstigneev, Igor V., Klaus Reiner Schenk-Hoppé, and William T. Ziemba. "Introduction: behavioral and evolutionary finance." Annals of Finance 9, no. 2 (March 24, 2013): 115–19. http://dx.doi.org/10.1007/s10436-013-0229-2.

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50

Filbeck, Greg, Victor Ricciardi, Harold R. Evensky, Steve Z. Fan, Hunter M. Holzhauer, and Andrew Spieler. "Behavioral finance: A panel discussion." Journal of Behavioral and Experimental Finance 15 (September 2017): 52–58. http://dx.doi.org/10.1016/j.jbef.2017.07.008.

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