thesis behavioral finance

• Browse by Year
• Browse by Subject
• Browse by Division
• Browse by Author

Behavioral Finance: A Survey of Financial Literature

Hendricks, Quincy (2018) Behavioral Finance: A Survey of Financial Literature. Undergraduate thesis, under the direction of Bonnie Van Ness from Finance, The University of Mississippi.

Using academic studies and financial literature from over 40 researchers, I investigate if behavioral finance causes investors to not always act in a rational manner. In this thesis, I review the literature on investor behavior and outline the situational factors that contribute to investment decisions that are not consistent with the theory of rational expectations. In particular, I synthesize the departure from the theoretical standard due to gender bias, risk-taking, over confidence based on gender as well as institutional compared to individual investors, investor biases, external environmental influences, and lastly, herd behavior.

Actions (login required)

• Help & FAQ

Essays on behavioral finance and corporate finance

• Research Group: Finance
• Center Ph. D. Students

Research output : Thesis › Doctoral Thesis

Access to Document

• 10.26116/dd2e-g320
• TiU_220207_CeNTER_proefschrift Lingbo Shen_digitaal Final published version, 1.32 MB

Fingerprint

• Corporate Finance Keyphrases 100%
• Executive Keyphrases 100%
• Behavioral Finance Keyphrases 100%
• Behavioural Finance Economics, Econometrics and Finance 100%
• Performance Difference Keyphrases 33%
• Conference Calls Keyphrases 33%
• Crisis Time Keyphrases 33%
• COVID-19 Pandemic Crisis Keyphrases 33%

T1 - Essays on behavioral finance and corporate finance

AU - Shen, Lingbo

N2 - This Ph.D. dissertation consists of three independent chapters in behavioral finance and corporate finance. The first chapter examines whether and how ethnicity similarity between analysts and executives affect their interactions in conference calls. The second chapter investigates firms' demand for inventor executives, executives with innovation experience, around firms' IPOs. The last chapter studies teams and individual analysts performance differences during the COVID-19 pandemic crisis time.

AB - This Ph.D. dissertation consists of three independent chapters in behavioral finance and corporate finance. The first chapter examines whether and how ethnicity similarity between analysts and executives affect their interactions in conference calls. The second chapter investigates firms' demand for inventor executives, executives with innovation experience, around firms' IPOs. The last chapter studies teams and individual analysts performance differences during the COVID-19 pandemic crisis time.

U2 - 10.26116/dd2e-g320

DO - 10.26116/dd2e-g320

M3 - Doctoral Thesis

SN - 978 90 5668 683 3

T3 - CentER Dissertation Series

PB - CentER, Center for Economic Research

CY - Tilburg

• Trading Skills
• Trading Psychology

Behavioral Finance: Biases, Emotions and Financial Behavior

• Search Search Please fill out this field.

What Is Behavioral Finance?

Understanding behavioral finance, behavioral finance concepts.

• Biases Studied
• The Stock Market
• Behavioral Finance FAQs

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and behavioral finance. Adam received his master's in economics from The New School for Social Research and his Ph.D. from the University of Wisconsin-Madison in sociology. He is a CFA charterholder as well as holding FINRA Series 7, 55 & 63 licenses. He currently researches and teaches economic sociology and the social studies of finance at the Hebrew University in Jerusalem.

Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of Science in Journalism. She has worked in multiple cities covering breaking news, politics, education, and more. Her expertise is in personal finance and investing, and real estate.

• Behavioral Finance: Biases, Emotions and Financial Behavior CURRENT ARTICLE
• Introduction to Behavioral Finance
• Understanding Investor Behavior
• Market Psychology
• Power of the Masses Drives the Market
• Read the Market's Psychological State
• Herd Instinct
• When Fear and Greed Take Over
• Behavioral Biases and How to Avoid Them
• How to Avoid Emotional Investing
• Psychological Traps Investors Should Avoid
• Psychological Quirks That Affect Your Trading
• Removing the Barriers to Successful Investing
• Break Bad Trading Habits and Follow Your Rules
• Random Reinforcement: Why Most Traders Fail
• How to Develop a Trading Brain
• Let Your Profits Run
• The Art of Cutting Your Losses
• Positive Feedback
• Loss Psychology
• Psychological Coping Strategies for Handling Losses
• Regret Avoidance
• Technical Analysis That Indicates Market Psychology
• Psychology of Support and Resistance Zones
• Investing vs. Gambling
• The Downward Spiral of Trading Addiction
• The Casino Mentality In Trading

Behavioral finance, a subfield of behavioral economics , proposes that psychological influences and biases affect the financial behaviors of investors and financial practitioners. Moreover, influences and biases can be the source for the explanation of all types of market anomalies and specifically market anomalies in the stock market, such as severe rises or falls in stock price. As behavioral finance is such an integral part of investing, the Securities and Exchange Commission has staff specifically focused on behavioral finance.

Key Takeaways

• Behavioral finance is an area of study focused on how psychological influences can affect market outcomes.
• Behavioral finance can be analyzed to understand different outcomes across a variety of sectors and industries.
• One of the key aspects of behavioral finance studies is the influence of psychological biases.
• Some common behavioral financial aspects include loss aversion, consensus bias, and familiarity tendencies.
• The efficient market theory which states all equities are priced fairly based on all available public information is often debunked for not incorporating irrational emotional behavior.

Behavioral finance can be analyzed from a variety of perspectives. Stock market returns are one area of finance where psychological behaviors are often assumed to influence market outcomes and returns but there are also many different angles for observation. The purpose of the classification of behavioral finance is to help understand why people make certain financial choices and how those choices can affect markets.

Within behavioral finance, it is assumed that financial participants are not perfectly rational and self-controlled but rather psychologically influential with somewhat normal and self-controlling tendencies. Financial decision-making often relies on the investor's mental and physical health. As an investor's overall health improves or worsens, their mental state often changes. This impacts their decision-making and rationality towards all real-world problems, including those specific to finance.

One of the key aspects of behavioral finance studies is the influence of biases. Biases can occur for a variety of reasons. Biases can usually be classified into one of five key concepts. Understanding and classifying different types of behavioral finance biases can be very important when narrowing in on the study or analysis of industry or sector outcomes and results.

Read about Investopedia's 10 Rules of Investing by picking up a copy of our special issue print edition.

Behavioral finance typically encompasses five main concepts:

• Mental accounting : Mental accounting refers to the propensity for people to allocate money for specific purposes.
• Herd behavior : Herd behavior states that people tend to mimic the financial behaviors of the majority of the herd. Herding is notorious in the  stock market  as the cause behind dramatic rallies and sell-offs.
• Emotional gap : The emotional gap refers to decision-making based on extreme emotions or emotional strains such as anxiety, anger, fear, or excitement. Oftentimes, emotions are a key reason why people do not make rational choices.
• Anchoring : Anchoring refers to attaching a spending level to a certain reference. Examples may include spending consistently based on a budget level or rationalizing spending based on different satisfaction utilities. 
• Self-attribution : Self-attribution refers to a tendency to make choices based on overconfidence in one's own knowledge or skill. Self-attribution usually stems from an intrinsic knack in a particular area. Within this category, individuals tend to rank their knowledge higher than others, even when it objectively falls short.

Behavioral finance is exploited through credit card rewards, as consumers are more likely to be willing to spend points, rewards, or miles as opposed to paying for transactions with direct cash.

Some Biases Revealed by Behavioral Finance

Breaking down biases further, many individual biases and tendencies have been identified for behavioral finance analysis. Some of these include:

Confirmation Bias

Confirmation bias  is when investors have a bias toward accepting information that confirms their already-held belief in an investment. If information surfaces, investors accept it readily to confirm that they're correct about their investment decision—even if the information is flawed.

Experiential Bias

An experiential bias occurs when investors' memory of recent events makes them biased or leads them to believe that the event is far more likely to occur again. For this reason, it is also known as recency bias or availability bias.

For example, the financial crisis in 2008 and 2009 led many investors to exit the stock market. Many had a dismal view of the markets and likely expected more economic hardship in the coming years. The experience of having gone through such a negative event increased their bias or likelihood that the event could reoccur. In reality, the economy recovered, and the market bounced back in the years to follow.

Loss Aversion

Loss aversion occurs when investors place a greater weighting on the concern for losses than the pleasure from market gains. In other words, they're far more likely to try to assign a higher priority to avoiding losses than making investment gains.

As a result, some investors might want a higher payout to compensate for losses. If the high payout isn't likely, they might try to avoid losses altogether even if the investment's risk is acceptable from a rational standpoint.

Applying loss aversion to investing, the so-called disposition effect occurs when investors sell their winners and hang onto their losers. Investors' thinking is that they want to realize gains quickly. However, when an investment is losing money, they'll hold onto it because they want to get back to even or their initial price. Investors tend to admit they are correct about an investment quickly (when there's a gain).

However, investors are reluctant to admit when they made an investment mistake (when there's a loss). The flaw in disposition bias is that the performance of the investment is often tied to the entry price for the investor. In other words, investors gauge the performance of their investment based on their individual entry price disregarding fundamentals or attributes of the investment that may have changed.

Familiarity Bias

The familiarity bias is when investors tend to invest in what they know , such as domestic companies or locally owned investments. As a result, investors are not diversified across multiple sectors and types of investments, which can reduce risk. Investors tend to go with investments that they have a history or have familiarity with.

Familiarity bias can occur in so many ways. You may resist investing in a specific company because of what industry it is in, where it operates, what products it sells, who oversees the management of the company, who its clientele base is, how it performs its marketing, and how complex its accounting is.

Behavioral Finance in the Stock Market

The  efficient market hypothesis (EMH) says that at any given time in a highly  liquid market , stock prices are efficiently valued to reflect all the available information. However, many studies have documented long-term historical phenomena in securities markets that contradict the efficient market hypothesis and cannot be captured plausibly in models based on perfect investor rationality.

The EMH is generally based on the belief that market participants view stock prices rationally based on all current and future intrinsic and external factors. When studying the stock market, behavioral finance takes the view that markets are not fully efficient. This allows for the observation of how psychological and social factors can influence the buying and selling of stocks.

The understanding and usage of behavioral finance biases can be applied to stock and other trading market movements on a daily basis. Broadly, behavioral finance theories have also been used to provide clearer explanations of substantial market anomalies like bubbles and deep recessions. While not a part of EMH, investors and portfolio managers have a vested interest in understanding behavioral finance trends. These trends can be used to help analyze market price levels and fluctuations for speculation as well as decision-making purposes. 

What Does Behavioral Finance Tell Us?

Behavioral finance helps us understand how financial decisions around things like investments, payments, risk, and personal debt, are greatly influenced by human emotion, biases, and cognitive limitations of the mind in processing and responding to information.

How Does Behavioral Finance Differ From Mainstream Financial Theory?

Mainstream theory, on the other hand, makes the assumptions in its models that people are rational actors, that they are free from emotion or the effects of culture and social relations, and that people are self-interested utility maximizers. It also assumes, by extension, that markets are efficient and firms are rational profit-maximizing organizations. Behavioral finance counters each of these assumptions.

How Does Knowing About Behavioral Finance Help?

By understanding how and when people deviate from rational expectations, behavioral finance provides a blueprint to help us make better, more rational decisions when it comes to financial matters.

What Is an Example of a Finding in Behavioral Finance?

Investors are found to systematically hold on to losing investments far too long than rational expectations would predict, and they also sell winners too early. This is known as the disposition effect, and is an extension of the concept of loss aversion to the domain of investing. Rather than locking in a paper loss, investors holding lose positions may even double down and take on greater risk in hopes of breaking even.

• Terms of Service
• Editorial Policy
• Privacy Policy

• Harvard Business School →
• Behavioral Finance & Financial Stability →

Malcolm P. Baker

Marco Di Maggio

Robin Greenwood

Samuel G. Hanson

Victoria Ivashina

David S. Scharfstein

Andrei Shleifer

Erik Stafford

Jeremy C. Stein

Lawrence Summers

Adi Sunderam

Luis M. Viceira

Post doctoral.

Doctoral Students

Michael Blank

Spencer Kwon

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

An Analytical Study on Behavioural Finance And Its Impact on Portfolio Investment Decisions – Evidence: India

2016, Savithribai Phule Pune University

Related Papers

Shabarisha Narayan

Decision-making is a versatile action. Decisions cannot be made in an annulled by relying on the personal resources and complex models, which do not take into consideration the situations. A situation based on decision-making activity encompasses not only the explicit dilemma faced by the individual but also drag out to the environment. The most decisive challenge faced by the investors is in the vicinity of investment decisions. In designing the investment portfolio, the investors should consider their financial and investment goals, risk forbearance level, and other constraints. In addition to that, they have to envisage the output return-risk optimization. This process is better suited for institutional investors; it often fails for individuals, who are vulnerable to heuristic and behavioural biases. The presence of frequently occurring anomalies in conventional economic theory was a big contributor to the configuration of behavioral finance. These ostensible anomalies, and their unrelenting subsistence, directly infringe modern financial and economic theories, which assume rational and logical behaviour. Such a decision-maker would consider all relevant information and come up with the best choice under the situations in a progression known as constrained optimization. The present paper spotlights on Heuristic and Biases Related to Financial Investment and the Role of Behavioural Finance in Investment.

TJPRC Publication

Behavioral finance is an open-minded finance which includes the study of psychology, sociology, and finance. Behavioral finance micro examines behavior or biases of investors and behavioral finance macro describe anomalies in the efficient market. Nowadays, behavioral finance is not a new concept, the existence, and impact of behavioral biases in investor's behavior and human judgment are huge. In this paper, we will review various studies in this area so as to have a clear understanding of the behavioral finance and its significance in the financial decision making of investors. JEL CLASSIFICATION: G11, G14

Nada Ibrahim

This study investigates the existence of behavioral biases in Amman Stock Exchange and their effect on investment performance from investor's point of view. In specific, the effects of overconfidence bias, familiarity bias, loss aversion bias, disposition bias, availability bias, representativeness bias, confirmation bias and herding bias are investigated. Moreover, the study inspects whether the behavioral biases differ between males and females. The results show that there is a statistically significant effect of overconfidence bias, familiarity bias, availability bias, representativeness bias and herding bias on investment performance (p≤5%). Moreover, disposition bias, confirmation bias and loss aversion bias significantly affect investment performance but at a critical level of (p≤10%). No statistically significant differences are found between the answers of males and females.

Imran Umer Chhapra

Investor’s irrationality is an inevitable reality that has been time and again highlighted by researchers (Statman, 2008). Therefore, this study is another effort to assess the role of behavioral biases in financial decision making in Pakistan Stock Exchange (PSX). A survey questionnaire is designed and used to collect responses using convenience sampling technique from sample of 250 investors of PSX. Behavioral biases include overconfidence, over thinking, herding, cognitive bias, and hindsight effect of investors. Multiple regression models are used to test influence of five behavioral biases on investment decision. The results show that overconfidence, over thinking, herding, cognitive bias, and hindsight effect have significant positive impact on investment decision. Overall results conclude that much change in investment decision is due to behavioral biases. This study will help financial advisors to better advice their clients. The one way to reduce these biases may be education and training of investors.

IJREAM EDITOR

Finance is the system that includes the granting of money and credit, making of investments and provision of banking facilities. Behavioral finance is a new academic discipline which seeks to apply the insights of the psychologists to understand the behavior of both investors and financial markets. This study analyse the Investors behavior through 600 respondents using Factor analysis test. The results of the study show that the 16 variables selected for the study had been reduced to 5 factor models using the principle component analysis such as Market Dynamics, Logical Analysis , Herding Bias, Regret Aversion and Heuristic Bias. Thus, Behavioral finance is becoming a primary part of the decision making process, since it influences investors' behavior greatly.

Journal of Research in Business

Abdu Seid Ali

This paper aims to assess whether there is a behavioral bias of Turkish FDI investors in Ethiopia. Besides, it addresses the influence of firm size, investment duration, target customers and amount of investment on the behavioral variables. In order to do so, a survey was conducted on a sample of Turkish FDI investors in Ethiopia which tries to examine their cognitive psychological factors towards their investment decisions. The survey result was analyzed using factor analysis. The statistical findings confirm that some psychological anomalies such as representativeness, herding, regret aversion and mental accounting have been observed on Turkish FDI investors. The regression analysis shows that amount of investment of the firms significantly and positively affects herding, representativeness, regret aversion and mental accounting behaviors. Furthermore, duration of investment in Ethiopia affects their representativeness and mental accounting behavioral biases of investors positively.

Sana Jameel

rayhan kabir

Salman Shahid

This research aims to investigate behavioral factors influencing the decisions of individual investors at the Securities Companies in Ho Chi Minh City, Vietnam. Data for this research was collated from 188 responses from individual investors, accounting for the response rate of 63%. There are five behavioral factors of individual investors at the Ho Chi Minh Stock Exchange: Herding, Market, Prospect, Overconfidence-gamble's fallacy, and Anchoring-ability bias. Securities Companies may also use the findings of this research for better understanding on investors' decision to give better recommendations to them. Stock prices then reflect their true value and Ho Chi Minh stock market becomes the yardstick of the economy's wealth and helps enterprises to raise capital for business activities.

Fitry Andry

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

RELATED PAPERS

IOSR Journals

Chong Ying Xiang

Advances In Management

Nik Maheran

nikmaheran.com

RELATED TOPICS

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

The Role of Behavioral Finance in Investment Decision-Making

Get the Reddit app

Community driven reporting on the ongoing war in Ukraine - Videos, photos, discussions, this subreddit aims to cover both sides of the narrative and allows intelligent discussions.

UA POV: A large fire in Odintsovo, Moscow region of Russia. Preliminary information holds that warehouses are on fire, but the cause of the fire is unknown. Odintsovo, an industrial city in the Moscow Oblast, has been the target of drone strikes in recent weeks.

Want to browse anonymously.

• Bahasa Indonesia
• Eastern Europe
• Moscow Oblast

Odintsovo Localisation : Country Russia , Oblast Moscow Oblast . Available Information : Geographical coordinates , Population, Altitude, Area, Weather and Hotel . Nearby cities and villages : Vlasikha , Arkhangelskoye and Krasnogorsk .

Information

Find all the information of Odintsovo or click on the section of your choice in the left menu.

• Update data

Odintsovo Demography

Information on the people and the population of Odintsovo.

Odintsovo Geography

Geographic Information regarding City of Odintsovo .

Odintsovo Distance

Distance (in kilometers) between Odintsovo and the biggest cities of Russia.

Odintsovo Map

Locate simply the city of Odintsovo through the card, map and satellite image of the city.

Odintsovo Nearby cities and villages

Odintsovo Twin towns, Sister cities

The City of Odintsovo has international agreements with its different pairings.

Odintsovo Weather

Weather forecast for the next coming days and current time of Odintsovo.

Odintsovo Sunrise and sunset

Find below the times of sunrise and sunset calculated 7 days to Odintsovo.

Odintsovo Hotel

Our team has selected for you a list of hotel in Odintsovo classified by value for money. Book your hotel room at the best price.

Odintsovo Nearby

Below is a list of activities and point of interest in Odintsovo and its surroundings.

Odintsovo Page

• Information /Russian-Federation--Moscow-Oblast--Odintsovo#info
• Demography /Russian-Federation--Moscow-Oblast--Odintsovo#demo
• Geography /Russian-Federation--Moscow-Oblast--Odintsovo#geo
• Distance /Russian-Federation--Moscow-Oblast--Odintsovo#dist1
• Map /Russian-Federation--Moscow-Oblast--Odintsovo#map
• Nearby cities and villages /Russian-Federation--Moscow-Oblast--Odintsovo#dist2
• Twin towns, Sister cities /Russian-Federation--Moscow-Oblast--Odintsovo#twintown
• Weather /Russian-Federation--Moscow-Oblast--Odintsovo#weather
• Sunrise and sunset /Russian-Federation--Moscow-Oblast--Odintsovo#sun
• Hotel /Russian-Federation--Moscow-Oblast--Odintsovo#hotel
• Nearby /Russian-Federation--Moscow-Oblast--Odintsovo#around
• Page /Russian-Federation--Moscow-Oblast--Odintsovo#page
• Terms of Use
• Copyright © 2024 DB-City - All rights reserved
• Change Ad Consent Do not sell my data