Decision Making Using Behavioral Finance for Capital Budgeting

2013 ◽  
pp. 421-444 ◽  
Author(s):  
Yuri Biondi ◽  
Giuseppe Marzo
2016 ◽  
Vol 1 (1) ◽  
pp. 51-59
Author(s):  
Jhansi Rani Boda ◽  
G. Sunitha ◽  
Parag Ray

Objective - Investment is the commitment of funds which have been saved from the current consumption with an expectation of favorable future returns. Investment behavior is concerned with choices made about the purchase of a significant number of securities for an individual or institutional account. Individual investment behavior is relatively a new area of research in behavioral finance. This study aims to identify the various behavioral patterns of retail investors and their investment decision making in the newly formed Telangana state of India. Methodology/Technique - Data were collected from a sample of 200 retail investors via a structured questionnaire. Factor analysis was then conducted to critically identify the behavioral patterns of the retail investors. Findings - The findings of this study indicate that the two behavioral factors of Heuristics and Prospect have significant impact on the investment decision making attitudes of the retail investors. Novelty - As a newly formed state in India, the Telangana state provides potential investment opportunities for retail as well as institutional investors. It is thus, highly imperative to explore how retail investors make investment decisions especially in the newly formed Telangana State in India Type of Paper: Empirical Keywords: Behavioral Factors; Behavioral Finance; Investment Behavior; Investment Decision Making; Retail Investor.


2014 ◽  
Vol 8 (2) ◽  
Author(s):  
Tekin Bilgehan ◽  
Gor Yusuf

Each decision-making process is an important cognitive and emotional process which is open to the emotional effect. Individuals make a decision about a future uncertainty either to feel good or maximizing gain by minimizing the loss ratio. Recently, researches in finance have criticized that the capital structure decisions and firms’ funding and strategic choices deviate from the traditional neoclassical paradigm. Furthermore there is a nascent empirical literature that has exposed interesting evidence of the effects of managerial behavioral biases. Managers’ decisions, that to create the capital structure, have a vital importance for the company. The behavioral finance (BF) approach may be revealed useful results in the process of solving decision-makers’ behaviors and thoughts. In this context the purpose of this study is to reveal if the managers are affected by their behavioral characteristics in the process of the financing decision-making, based on the findings of studies in the literature. From this point of view behavioral finance literature, which is about the financing and capital structure decisions, is investigated. As a result, theoretical and empirical analyses, which discussed in the literature, show that managers’ biases play an important role in explaining the capital structure choice.


2020 ◽  
pp. 24-27
Author(s):  
Olha HAIDARZHYISKA ◽  
Tetiana SHCHEPINA ◽  
Iryna MASIUK

Introduction. The article analyzes the differences between traditional finance and behavioral finance. The basic tools of micro-behavioral finance are highlighted, the influence of behavioral finance on ensuring the effective result of the activity of economic relations is determined. The necessity of further study of behavioral finance in modern financial science is substantiated. It describes how behavioral finance is intended to explain the behavior of economic relations in financial market decision-making, as well as how the behavioral approach is sufficiently manifested in predicting the effects of an entity's activities today. Purpose. The methodology of work is studied in the understanding of the concept of "behavior of people", as well as their representatives on the subjects of economic dependence. Results. In recent decades, a new science has emerged and is developing - behavioral finance, which is aimed at clarifying a number of anomalies that emerge in the financial markets. Behavioral finance casts doubt on the rational behavior of market participants and examines deviations in the decision-making system. Conclusion. Assessment of the prospects of enterprise development, taking into account changes in the economy and behavioral finance is the basis for the formation of forecast data and drawing up plans. As a rule, virtually all forecasting methods are based on changes that occur from one period to another, without taking into account the behavioral factor, which allows only to predict the financial results of the enterprise while maintaining existing trends in the market environment, without taking into account possible qualitative changes and may lead to inefficient economic activity, and thus to a decrease in profit.


2018 ◽  
Vol 7 (4) ◽  
Author(s):  
Siti Aisyah Hidayati ◽  
Embun Suryani ◽  
M Muhdin

The purpose of this study is to find out what factors determine decision making of debt and what are the most dominant factors in  decision making of debt for SMEs on the island of Lombok.  This research is an explanatory research with quantitative approach. The population is all SMEs located in Lombok island. The sample is selected by Non probability sampling technique with a judgment sampling method where the SMEs that selected as samples are SMEs in handicraft industry of pottery and already exporting the products. Of the existing population, there are 25 (twenty five) SMEs that can be sampled. Respondents in this study are managers who also the owner of the SMEs. Data was collected using questionnaire. To achieve the research objectives, the data obtained will be processed according to needs using Factor Analysis.The results of this study indicate there are three groups of factors that determine  decision making of debt, namely the First Factor Group consists of: Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss. This factor is named Factor Overconfidence. The Second Factor Group consisted of Representativeness Variables, Avaibility Variables and Anchoring and Adjustment Variables. This factor is named the Avaibility Factor. The third factor group consists of Affect Variables and Aversion Loss Variables. This factor is named the Factor of Loss Aversion. The most dominant factor in determining debt decision making for SMEs in Lombok Island is the Overconfidence factor group consisting of Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss .


2018 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Siti Aisyah Hidayati ◽  
Sri Wahyulina ◽  
Embun Suryani

This research aims to analyze: 1) The effect of overconfidence against debt decision-making on SME’s, 2) The Effect of the illusion of control against debt decision-making on SME’s, 3) The effect of availability against debt decision-making on SME’s.This research is a research-based approach to quantitative, with this type of research is explanatory research. The population of the research was all SME’s that are located on the island of Lombok. The technique of sampling done with Non probability sampling, i.e. using judgement sampling i.e. selecting SME’s engaged in pottery industry and already exports. Of the population, there are 35 (thirty five) SME’s which can be taken as a sample. The respondents in this study was a financial manager at the same time as the owner of each such SME’s. Data collection techniques used in this research is to use the question form. To achieve the research objectives and hypothesis testing, then the data acquired will be processed according to your needs by using statistical tools GSCA (Generalized Structured Component Analysis).The results showed: 1) Overconfidence has no significant effect on decision-making on debt undertaken by owner Managers, 2) Illusion of Control has significant effect on decision-making on debt undertaken by the SME owner managers, 3) Avaibility has no significant effect on decision-making on debt undertaken by the SME owner managers. This shows the SME’s managers in the selection of a rational debt as a source of funding. The rational attitude effected by the characteristics of respondents who was the Manager of the SME’s owner, i.e., the age of majority SME’s managers are still productive ranged from 37 to 54 years of age, mostly female, with a level of education mostly high school and college graduates, as well as long time effort over 10 years. Keywords: overconfidence, illusion of control, avaibility, decision making of debt


Author(s):  
Dashol Ishaya Usman ◽  
Mary Pam

The purpose of the chapter was to establish the effect of disposition on investment decision making in property market in Plateau State, Nigeria. Descriptive research design was used in the study. Primary data was collected using standard questionnaires with both closed and open-ended questions. The regression analysis results confirmed that there was a significant positive linear relationship between disposition and investor investment decision making in property market in Plateau State in Nigeria. The study concluded that disposition effects bias does not alter rationality in investment decision making. Disposition affected investment decisions. The main recommendation for investors is to make constant attempts to increase their awareness on behavioral finance by educating themselves on the field. Studying about the biases and reflecting on their decisions are likely to help achieve better self-understanding of the extent and manner to which they are influenced by emotions while making financial decisions under uncertainty.


2019 ◽  
Vol 12 (3) ◽  
pp. 297-314 ◽  
Author(s):  
Jinesh Jain ◽  
Nidhi Walia ◽  
Sanjay Gupta

Purpose Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various behavioral biases which impact their investment decisions. The purpose of this paper is to rank the behavioral biases influencing the investment decision making of individual equity investors from the state of Punjab, India. This research would provide valuable insight into the different behavioral biases to investors and other participants of the capital market and help them in improving investment decisions. Design/methodology/approach The research is conducted on the individual equity investors of Punjab, India. Fuzzy analytic hierarchy process was applied to rank the factors influencing the decision making of individual equity investors of Punjab. The primary factors considered for the study are overconfidence bias, representative bias, anchoring bias, availability bias, regret aversion bias, loss aversion bias, mental accounting bias and herding bias. Findings The three most influential criteria were herding bias, loss aversion bias and overconfidence bias. The five most influential sub-criteria were “I readily sell shares that have increased in value (C61),” “News about the company (Newspapers, TV and magazines) affects my investment decision (C84),” “I invest each element of my investment portfolio separately (C71)” and “I usually hold loosing stock for long time, expecting trend reversal (C52).” Research limitations/implications Although sample survey conducted in the present study was based on a limited sample selected from a particular area that truly represented the total population, it is considered as the limitation of this study. Practical implications The outcome of this research provides investors with a better understanding of behavioral biases that influence their decision making. This study provides them a guideline on different behavioral biases that they should consider while making investment decisions. Originality/value The research model is based on the available literature on behavioral finance and the research results and findings would add value to the existing knowledge base.


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