scholarly journals The Influencing Factors on Decision Investment: Case Study on 5 Mining Firms in 5 Countries in South East Asia

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 03) ◽  
pp. 202-222
Author(s):  
Narumondang Bulan Siregar ◽  
Silvana Fransisca Hutajulu
Keyword(s):  
Decision Making ◽  
Cash Flow ◽  
Firm Size ◽  
Stock Exchange ◽  
Investment Decision ◽  
Secondary Data ◽  
The Philippines ◽  
Annual Reports ◽  
Investment Decision Making ◽  
Stock Exchange Of Thailand

This research aimed is to find out the factors influencing decision-making in mining firms listed in Indonesian Stock Exchange, Bursa Malaysia, the stock Exchange of Thailand, the Philippines Stock Exchange and Singapore Exchange from 2014 to 2018. This study employed multiple linear regression to examine independent variable influences such as cash flow, firm size, leverage and investment opportunities. Total asset growth is the metric used to calculate investment decision. Secondary data were retrieved by the audited Mining Corporation Report and Annual Reports from the Indonesian Stock Exchange, Bursa Malaysia, the Philippines Stock Exchange, the Singapore Exchange and the Stock Exchange of Thailand from 2014 to 2018 in web.idx.id, www.bursamalaysia.com.com, www.pse.com.ph, www.set.or.th and the www2.sgx.com/ The findings suggest that cash flow and firm size have a beneficial impact on investment decision-making, leverage has a detrimental influence on investment decision-making whereas acquisition incentives have little impact on investment decision-making.

Pengaruh Hubungan Politik Terhadap Manajemen Laba Pada Perusahaan Sektor Jasa Dengan Variabel Kontrol Ukuran Perusahaan Dan Kualitas Audit

2018 ◽  
Vol 16 (2) ◽  
pp. 30
Author(s):  
Dwikky Darmawan ◽  
Weny Putri
Keyword(s):  
Earnings Management ◽  
Firm Size ◽  
Significant Influence ◽  
Service Sector ◽  
Audit Quality ◽  
Stock Exchange ◽  
Secondary Data ◽  
Annual Reports ◽  
Political Connection ◽  
Discretionary Accrual

The purpose of this study is to determine the effects of political connection toward the earnings management of service sector companies with control variables firm size and audit quality. Firm�s political connection measured by using dummy variable. Earnings management is proxied by discretionary accrual which is measured by using Modified Jones Model. The research data applied in this study are the secondary data which are taken from the annual reports of service sector companies that listed in Indonesian Stock Exchange of 2016-2017 periods. There are 330 observations fit as sample, which are taken by using purposive sampling method. Data are processed by applying the multiple linear regression test. The result show that the political connection had positive but not significant influence to earnings management. Firm size had negative but not significant influence to earnings management. Whereas the audit quality had a negative and significant influence to earnings management.

Good Corporate Governance, Profitabilitas, Ukuran Perusahaan dan Struktur Modal

2017 ◽  
Vol 9 (1) ◽  
pp. 1-17
Author(s):  
Hesty Juni Tambuati Subing
Keyword(s):  
Capital Structure ◽  
Board Of Directors ◽  
Firm Size ◽  
Stock Exchange ◽  
Secondary Data ◽  
Institutional Ownership ◽  
Annual Reports ◽  
Financial Reports ◽  
Basic Industry ◽  
The Capital Structure

The purpose of this research is to know about the effect of these factors Corporate Governane proxy by Institutional Ownership and Number of Board of Directors, Firm Size, and Return On Asset in basic industry and chemistry towards capital structure, and also to determine which of those factors having powerful effect to the capital structure. This research is using secondary data, such as the financial reports, annual reports and other related information of basic industry and chemistry listed in Indonesian Stock Exchange which sample were taken from 45 companies for the period of 2013 to 2014, and the choosing of these samples was based on the purposive sampling method. Panel data is used to test the effect of Institutional Ownership, Board of Directors, Return on Asset and Firm Size among as independent variables, in regard to capital structure as dependent variables. The result shows that only Return On Asset have significant effect to the Capital Structure in the basic industry and chemistry. Meanwhile Institutional Ownership, Board of Directors and Firm Size have no effect to the Capital Structure in the basic industry and chemistry. Keywords: Institutional Ownership, Board of Directors, Return On Asset, Firm Size, Capital Structure

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

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.

scholarly journals How do emotional intelligence and behavioral biases of investors determine their investment decisions?

2020 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Saloni Raheja ◽  
Babli Dhiman
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Sample Selection ◽  
Investment Decisions ◽  
Risk Tolerance ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
The Impact

Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.

Development and validation of behavioral biases scale: a SEM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ritika ◽  
Nawal Kishor
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Phase 1 ◽  
Secondary Data ◽  
Higher Order ◽  
Second Order ◽  
Individual Investors ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making

PurposeThis paper attempts to identify the biases in decision-making of individual investors. The paper aims to develop and validate a higher-order behavioral biases scale.Design/methodology/approachScale development is done by identifying the relevant items of the scale through existing literature and then, adding new items for some biases. In phase 1, using a structured questionnaire, data was collected from 274 investors who invest in financial markets. The major dimensions of the scale have been pruned by using exploratory factor analysis administered on data collected in phase 1. Higher-order CFA is used to analyze the data and to validate the scale on another set of data (collected in phase 2) containing 576 investors.FindingsThe study reveals that the scale for measuring behavioral biases has many dimensions. It has two second-order factors and 13 zero-order constructs. Two second-order constructs have been modeled on the basis of cause of errors in investment decision-making, that is, biases caused due to cognition, biases caused due to emotions.Originality/valueBehavioral biases are yet to receive a due attention, especially, in the Indian context. The present research is focusing on providing an empirically tested scale to test the behavioral biases. Some of the biases, which have been analyzed using secondary data in previous studies, have been tested with the help of statements in this study.

scholarly journals Pengaruh Likuiditas, Leverage, Profitabilitas, dan Ukuran Perusahaan terhadap Financial Distress di Sektor Trade, Service, and Invesment

2021 ◽  
Vol 9 (3) ◽  
pp. 1227-1240
Author(s):  
Hasivatus Sariroh
Keyword(s):  
Firm Size ◽  
Financial Distress ◽  
Ordinal Data ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Annual Reports ◽  
Return On Assets ◽  
Current Ratio ◽  
Independent Variables

This study is a quantitative study that aims to determine the effect of the current ratio, debt to asset ratio, return on assets, and firm size on financial distress. Logistic regression method was used to test all relationships between independent variables and dependent variables with nominal/ordinal data scales. The dependent variable in this study is financial distress. The independent variables in this study are liquidity, leverage, profitability and firm size. This study uses secondary data from annual reports of trading, service, and investment companies listed on the Indonesia Stock Exchange from 2016 to 2018. The population used is companies in the trade, services, and investment sectors listed on the Indonesia Stock Exchange (IDX). from 2016 to 2018 with a total of 162 companies selected using purposive sampling technique. The results of hypothesis testing indicate that the current ratio, debt to asset ratio, return on assets, and firm size have no effect on the company's financial distress. From research conducted by researchers, for management to be used as a basis to take corrective actions if there are indications that the company experiencing financial distress. For investors, to be used as a basis in making the right decision to invest in a company.

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 Effect of Emotional Biases on Investor’s Decision Making in Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 33-39
Author(s):  
Ebenezer Y. Akinkoye ◽  
Oluwaseun E. Bankole
Keyword(s):  
Decision Making ◽  
Loss Aversion ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Primary Data ◽  
Investment Decision Making ◽  
Regret Aversion ◽  
Overconfidence Bias ◽  
Structured Questionnaire

The study examined emotional biases and its effect on investor’s decision making in Nigeria Primary data were employed and the population consists of clients of the top 10 stockbroking firms registered by the Nigerian Stock Exchange as at 31st January, 2018. These firms were selected because they contributed to 68.72% of total value of transactions as at 31st January, 2018. Data on emotional biases and investment decision making among investors in Nigeria were obtained through structured questionnaire which was administered to 30 clients of each stockbroking firm, totalling 300. Data analysis was done using percentages and logistic regression analysis. Findings showed that emotional biases, represented by loss-aversion bias, overconfidence bias, regret-aversion bias and herding bias were prevalent to Nigerian investors and also significantly influenced investor’s decision making in Nigeria. The study suggests that investors should improve the understanding of various emotional biases and traits exhibited by them, adopt a suitable decision technique to avoid this and seek experts’ opinion when making investment decisions.

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