scholarly journals Differences In Intrinsic Value With Stock Market Prices Using The Price Earning Ratio (Per) Approach As An Investment Decision Making Indicator (Case Study Of Manufacturing Companies In Indonesia Period 2016 - 2017)

2019 ◽  
Vol 1 (1) ◽  
pp. 82-92
Author(s):  
Ardy Indra Lekso Wibowo Putra ◽  
Aditya Dwiansyah Putra ◽  
Murni Sari Dewi ◽  
Denny Oktavina Radianto
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Intrinsic Value ◽  
Investment Decision ◽  
Manufacturing Companies ◽  
Market Prices ◽  
Investment Decision Making

An investor must be able to consider all kinds of steps that will be taken or that will be carried out, assessing stocks - shares that will provide optimal benefits in making an investment decision. By analyzing the intrinsic value of the price of a company's stock, investors can assess the fairness of the stock price. The method used to analize intrinsic value is fundamental analysis using the Price Earning Ratio (PER) approach. The samples to be taken in this research are manufacturing companies in Indonesia which are listed on the Indonesia Stock Exchange (IDX) for the period 2016 - 2017 with certain criteria. The results of this research will show that the shares of companies listed are in overvalued, undervalued or correctly valued conditions. So investors can decide to buy, hold or sell their shares.

scholarly journals Differences In Intrinsic Value With Stock Market Prices Using The Price Earning Ratio (Per) Approach As An Investment Decision Making Indicator (Case Study Of Manufacturing Companies In Indonesia Period 2016 - 2017)

2019 ◽  
Vol 1 (1) ◽  
pp. 82-92
Author(s):  
Ardy Indra Lekso Wibowo ◽  
Aditya Dwiansyah Putra ◽  
Murni Sari Dewi ◽  
Denny Oktaviana Radianto
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Intrinsic Value ◽  
Investment Decision ◽  
Manufacturing Companies ◽  
Market Prices ◽  
Investment Decision Making

An investor must be able to consider all kinds of steps that will be taken or that will be carried out, assessing stocks - shares that will provide optimal benefits in making an investment decision. By analyzing the intrinsic value of the price of a company's stock, investors can assess the fairness of the stock price. The method used to analize intrinsic value is fundamental analysis using the Price Earning Ratio (PER) approach. The samples to be taken in this research are manufacturing companies in Indonesia which are listed on the Indonesia Stock Exchange (IDX) for the period 2016 - 2017 with certain criteria. The results of this research will show that the shares of companies listed are in overvalued, undervalued or correctly valued conditions. So investors can decide to buy, hold or sell their shares.

scholarly journals The Role of Structural Context in Making Business Sense of Investments for Sustainability–A Case Study

2020 ◽  
Vol 12 (17) ◽  
pp. 7006
Author(s):  
Josefine Rasmussen
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Investment Decision ◽  
Sustainable Manufacturing ◽  
Manufacturing Companies ◽  
Improve Energy Efficiency ◽  
Structural Context ◽  
Investment Decision Making

Energy efficiency is an important means for sustainable manufacturing. One action for manufacturing companies to improve energy efficiency is through investments. While these investments often are profitable, opportunities remain unexploited. This paper explores the structural context of the investment decision-making process by examining the associated activities, procedures, and the role of information. While the structural context may limit complex investments that do not fit predefined rules and controls, such as energy efficiency and other sustainability-related investments, it remains a scarcely studied aspect of investment decision-making for energy efficiency investments. Method-wise, the paper is based on a case study of a major investment at a pulp and paper company, motivated and justified based on productivity, strategic, energy, and sustainability rationales. The paper contributes with illustrating how configurations of internal investment activities and procedures may be crucial for sustainability-related investments to pass through the investment process. Moreover, the configuration of activities and procedures is also indicated as influential for the way in which an investment is executed. Hence, for energy efficiency and other sustainability-related investments to make business sense constitutes more than achieving desirable payback periods; the structural context should be considered.

scholarly journals ANALISIS FUNDAMENTAL DALAM PENGAMBILAN KEPUTUSAN INVESTASI SAHAM PERUSAHAAN PERKEBUNAN PERIODE 2008-2015

2017 ◽  
Vol 2 (3) ◽  
pp. 40-48
Author(s):  
Irma Dwi Pratiwi ◽  
Nugraha Nugraha
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Total Sample ◽  
Fundamental Analysis ◽  
Stock Investment ◽  
Investment Decision Making ◽  
Analysis Technique ◽  
The Difference

Objective – For fundamental analysis and to know the description of Earning Per Share and Price Earning Ratio as a basis for consideration in decision making of stock investment in plantations sub-sector period 2008-2015.Design/methodology/approach – This type of research is descriptive method with a total sample of 7 metal and allied sub-sector companies listed on the Indonesian Stock Exchange. The analysis technique used is fundamental analysis with EPS and PER approaches. The design of this research is the method of time series design with a period of research for 8 years.Findings – Based on the results of fundamental analysis with EPS and PER approach can effectively assist investors in assesing the company’s stock on making decision of stock investment in plantations sub sector.Originality/value – The difference in this study lies in the object of research, study time, measuring tools, literature used, the theory used and the results of research. Keywords: Fundamental analysis,  Investment Decision  Making,  Stocks,  Earning Per Share (EPS), Price Earning Ratio (PER), Intrinsic ValueArticle Type: Case Study

Foresight for stock market volatility – a study in the Indian perspective

foresight ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Jitendra Kumar Dixit ◽  
Vivek Agrawal
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Investment Decision ◽  
Market Volatility ◽  
Future Research ◽  
Stock Market Volatility ◽  
Content Type ◽  
Constant Variance ◽  
Investment Decision Making

Purpose Volatility is a permanent behavior of the stock market around the globe. The presence of the volatility in the stock price makes it possible to earn abnormal profits by risk seeking investors and creates hesitancy among risk averse investors as high volatility means high return with high risk. Investors always consider market volatility before making any investment decisions. Random fluctuations are termed as volatility of stock market. Volatility in financial markets is reflected because of uncertainty in the price and return, unexpected events and non-constant variance that can be measured through the generalized autoregressive conditional heteroscedasticity family models and that will give an insight for investment decision-making. Design/methodology/approach Daily data of the closing value of Bombay Stock Exchange (BSE) (Sensex) and National Stock Exchange (NSE) (Nifty) from April 1, 2011 to March 31, 2017 is collected through the web-portal of BSE (www.bseindia.com) and NSE (www.nseindia.com) for the analysis purpose. Findings The outcome of the study suggested that P-GARCH model is most suitable to predict and forecast the stock market volatility for both the markets. Research limitations/implications Future research can be extended to other stock market segments and sectoral indices to explore and forecast the volatility to establish a trade-off between risk and return. Originality/value The results of previous studies available are not conducive to this research, and very limited scholarly work is available in the Indian context, so required to be re-explored to identify the appropriate model to predict market volatility.

scholarly journals Behavioral Bias in Individual Investment Decisions: Is It a Common Phenomenon in Stock Markets?

2020 ◽  
Vol 11 (6) ◽  
pp. 25
Author(s):  
Nawal Hussein Abbas Elhussein ◽  
Jarel Nabi Ahmed Abdelgadir
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Dominant Role ◽  
Investment Decision ◽  
Decision Making Process ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Investment Decision Making

This paper aims to investigate the behavioral factors that influence individual investment decision making at a developing country stock market; the Sudanese Stock Exchange Market. The Study employs a cross-sectional survey design as well as analytical methods to collect the necessary data and establish the relationship between the study variables. Data is collected through a structured questionnaire from a sample of 203 individual investors and Correlation and Regression methods are used to conduct the analysis. The findings of the paper provide evidence that behavioral biases play a noticeable role in individual investment decision making process regardless of the degree of development of the stock market. The paper demonstrates that heuristic and market factors play a dominant role in the process of individual decision making in the Khartoum Stock Exchange. The factors that have a significant impact on individual investment decision making process include Representativeness, Overconfidence, Anchoring, Historical cost of stock, Customer preferences, Loss aversion, Mental accounting, Other investors’ trading volume, and Quick reaction to changes in other investors ‘decisions. Factors that have an insignificant impact include Availability bias, Change in stock prices, Regret aversion, and Other investors’ decisions and choices.

Investor sentiment antecedents

2019 ◽  
Vol 11 (1) ◽  
pp. 36-54 ◽  
Author(s):  
Ranjan Dasgupta ◽  
Rashmi Singh
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Emerging Market ◽  
Investment Decision ◽  
Investor Sentiment ◽  
Equation Modeling ◽  
Content Type ◽  
Investment Decision Making ◽  
Retail Investors ◽  
Specific Factors

PurposeThe determinants of investor sentiment based on stock market proxies are found in numbers in empirical studies. However, investor sentiment antecedents developed from primary survey measures by constructing an investor sentiment index (ISI) are not done till date. The purpose of this paper is to fill this research gap by first developing an ISI for the Indian retail investors and then examining the investor-specific, stock market-specific, macroeconomic and policy-specific factors’ individual impact on the investor sentiment.Design/methodology/approachFirst, the authors develop the ISI by using the mean scores of six statements as formulated based on popular direct investor sentiment surveys undertaken throughout the world. Then, the authors employ the structural equation modeling approach on the responses of 576 respondents on 40 statements (representing the index and four study hypotheses) collected in 2016 across the country.FindingsThe results show that investor- and stock market-specific factors are the major antecedents of investor sentiment for these investors. However, interestingly macroeconomic fundamentals and policy-specific factors have no role to play in driving their sentiment to invest in the stock market.Practical implicationsThe major implication of the results is that the Indian retail investors are showing a mixed approach of Bayesian and behavioral finance decision making. So, these implications can guide the investment consultants, regulators, other stakeholders in markets and overwhelmingly the retail investors to introspect their investment decision making across time horizons.Originality/valueThe formulation of ISI in an emerging market context and thereafter examining possible antecedents to influence retail investors in their investment decision making are not done till date. So, the study is unique in its research issue and findings and will have significant implication for the retail investors at least in emerging market contexts.

scholarly journals Pengaruh Financial Literacy, Representativeness Bias, Dan Bias Optimisme Terhadap Pengambilan Keputusan Investasi

2020 ◽  
Vol 2 (3) ◽  
pp. 2976-2991
Author(s):  
Silvia Putri ◽  
Halmawati Halmawati
Keyword(s):  
Decision Making ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Empirical Evidence ◽  
Financial Literacy ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
State University ◽  
Investment Decision Making

This study aims to analyze 1) whether there is an influence of financial literacy on investment decision maknig. 2) Obtain empirical evidence whether there is an Representativeness bias making on investment decisions. 3) Does Bias optimisme affect investment decision making. In this study using Causality Design. Population and sampek are 104 respondents registered in the Indonesia Stock Exchange Investment Gallery (GIBEI) Faculty of Economics, State University of Padang. The method of analysis is multiple linear regression. The results of the study found 1) Financial literacy influences investment decisions on investment decision making.2) Optimum bias affects investment decisions on investment decision making. 3) Representativness influences investment decisions on investment decision making. 4) Together financial literacy variables, the optimum bias and representativness together influence the investment decision on investment decision making

Decision-making of investment in navigation safety improving schemes with application of cumulative prospect theory

2018 ◽  
Vol 232 (6) ◽  
pp. 710-724 ◽  
Author(s):  
Lei Wang ◽  
Qing Liu ◽  
Tongle Yin
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Investment Decision ◽  
Cumulative Prospect Theory ◽  
Decision Makers ◽  
Investment Decision Making ◽  
Risk Appetite ◽  
Safety Investment ◽  
Navigation Safety

Navigation safety improving investment aims at mitigating risk and improving safety of shipping system, while decision-makers’ attitudes toward the uncertainty of shipping safety possess a characteristic of “bounded rationality.” To study the tendency of shipping safety investment decision-making with different risk perception and appetite, a decision-making method based on cumulative prospect theory is proposed in this article. First, we extract the decision attributes through analyzing the factors affecting shipping safety investment. Then, according to cumulative prospect theory, the value function and the probability weighting function for calculating cumulative prospect values of shipping investment attributes are given. Under the risk-based multi-attribute group decision-making framework, linear programming model and projection method are introduced to aggregate the weights of attributes and decision-makers, respectively. Furthermore, through a case study, the proposed methodology is utilized in Three Gorges Dam area, and the desirable safety investment scheme is determined from a set of candidate alternatives. The case study shows not only validity and feasibility of the decision-making approach but also the mechanism of shipping safety investment decision-making with consideration of the behavior characteristics of decision-makers such as reference dependence, risk appetite distortion, and loss aversion.

scholarly journals An Analysis of Behavioral Biases in Investment Decision-Making

2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Survey Responses ◽  
The Impact

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

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