An intelligent pattern recognition model for supporting investment decisions in stock market

This study aims to analyze rate of return and risk as the tools to form the portfolio analysis on 15 the most actives stocks listed in Indonesian Stock Exchange. Descriptive analytical method is used to describe the correlation between three variables: stock returns, expected returns of stock market, and beta in order to measure the risk of stocks to help the investors in making the investment decisions. The research materials are 15 the most actives stocks listed in Indonesian Stock Exchange during 2008-2009. The results show that PT. Astra International Tbk. has the highest average expected return of individual stock (Ri) of 308,3355685, while PT. Perusahaan Gas Negara Tbk. has the lowest of -477,0827847. The average expected return of stock market (Rm) is 0,00247163. PT. Astra International Tbk. has the highest systematic risk level of 20229,14205, while the lowest of -147,5793279 is PT. Kalbe Farma Tbk. Furthermore, the results also indicate that there are 9 stocks can be combined to form optimal portfolio because they have positive expected returns.

Download Full-text

Qualitative Analysis on Investment Decisions of Nepalese Stock Market Investors

Journal of Business Management Review ◽

10.47153/jbmr25.1422021 ◽

2021 ◽

Vol 2 (5) ◽

pp. 349-365

Author(s):

Rashesh Vaidya

Keyword(s):

Stock Market ◽

Insider Trading ◽

Investment Decision ◽

Investment Decisions ◽

Listed Companies ◽

Structured Interview ◽

Secondary Market ◽

Fundamental Aspect ◽

Macroeconomic Factors ◽

Stock Market Investors

The paper attempts to examine the experience of the Nepalese investors at the secondary market. The paper explored the investment decisions process of the Nepalese investors. The paper has adopted the grounded theory to generate the theory from the data collected from the semi-structured interview from the stock market investors having an academic background in management. The findings revealed that the investors are eager to invest in the stock market and go for a better experience from their trading at the NEPSE floor. The study exposed a mixed opinion in context to the understanding of the macroeconomic aspects and their influence on investment decisions. The investors forwarded that there is no relation between their investment decision-making process and the macroeconomic factors, while some of the investors stated that they see a connection of the economy with the stock market directly or indirectly. The study came out that the major concern of the Nepalese investors is a fundamental aspect of the listed companies while selecting for an investment. At the same time, investors stated that they go for technical analysis or follow the market trend for the short-term trading at NEPSE floor. The investors are seen at one point that the unstable political situation and insider trading have been major challenges, in context to the Nepalese stock market. Finally, the excessive flow of information related to the listed companies either with some validity or not, makes an investor’s investment decisions go wrong.

Download Full-text

Use of Technical Analysis Tools in Nepalese Stock Market

PYC Nepal Journal of Management ◽

10.3126/pycnjm.v11i1.35920 ◽

2018 ◽

Vol 11 (1) ◽

pp. 55-64

Author(s):

Rashesh Vaidya

Keyword(s):

Stock Market ◽

Investment Decisions ◽

Technical Analysis ◽

Trade Volume ◽

Market Participants ◽

Support Level ◽

Analysis Tools

This paper has attempted to find the interest of Nepalese investors, brokers and depository participants on the use the technical tools for the analysis of the stock market. The use of technical analysis in context to Nepal shows that the participants in the Nepalese stock market are highly interested on the use of new Hi-Lo price while making their investment decisions. Another interest was seen for trade volume indicators. The Nepalese stock market participants are not seen interested in using the resistance and support level followed by the pattern i.e. candlestick charts while analyzing the stock market trend.

Download Full-text

Is Technical Analysis Profitable even for an Amateur Investor?

Handbook of Research on Behavioral Finance and Investment Strategies - Advances in Finance, Accounting, and Economics ◽

10.4018/978-1-4666-7484-4.ch015 ◽

2015 ◽

pp. 255-269

Author(s):

Vasileiou Evangelos

Keyword(s):

Stock Market ◽

Transaction Costs ◽

Behavioral Finance ◽

Investment Decisions ◽

Technical Analysis ◽

Moving Averages ◽

Trading Rules ◽

Trading Decisions ◽

Transaction Fees

The purpose of this chapter is to examine if even the simplest trading rules could take advantage of the market's inefficiency and lead to profitable trading decisions. For this reason, this study examined the profitability of the simplest trading rules, using only the simple moving averages (SMA) rules that even an amateur investor could apply. In order to examine the specific issue a data sample from the Greek stock market during the period 2002-12 was used. The results suggest that even if one takes into account the most expensive transaction fees, the trading rules signal profitable investment decisions; therefore, even an amateur trader and/or investor who does not have a significant amount of money to invest (which may lead to reduced transaction costs) could take advantage of the market's inefficiency. Behavioral finance theories may provide some useful and alternative explanations regarding some of the reasons that contribute to the Greek stock market's inefficient environment.

Download Full-text

A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting

Journal of Industrial Engineering International ◽

10.1007/s40092-017-0236-4 ◽

2017 ◽

Vol 14 (3) ◽

pp. 455-489

Author(s):

Inyeneobong Ekoi Edem ◽

Sunday Ayoola Oke ◽

Kazeem Adekunle Adebiyi

Keyword(s):

Pattern Recognition ◽

Industrial Accident ◽

Recognition Model

Download Full-text

Exploring market overreaction, investors’ sentiments and investment decisions in an emerging stock market

Borsa Istanbul Review ◽

10.1016/j.bir.2020.02.002 ◽

2020 ◽

Vol 20 (3) ◽

pp. 224-235

Author(s):

Shagufta Parveen ◽

Zoya Wajid Satti ◽

Qazi Abdul Subhan ◽

Sana Jamil

Keyword(s):

Stock Market ◽

Investment Decisions

Download Full-text

Stock Market Investors’ Guide to Corporate Dividend Policy: Evidence from Pharmaceuticals and Chemicals Industries in Bangladesh

Asian Journal of Finance & Accounting ◽

10.5296/ajfa.v9i1.10871 ◽

2017 ◽

Vol 9 (1) ◽

pp. 166

Author(s):

Tanbir Ahmed Chowdhury ◽

Jannatunnesa Jannatunnesa

Keyword(s):

Stock Market ◽

Firm Size ◽

Firm Growth ◽

Dividend Policy ◽

Linear Regression Analysis ◽

Investment Decisions ◽

Secondary Data ◽

Multiple Linear Regression Analysis ◽

Dividend Payout ◽

Factors Affecting

Dividend policy has been an important component in the arena of financial literature and providing evidence that dividend payout decisions are affected by various factors. Numerous studies have been conducted so far on corporate dividend policy in Bangladesh. The pharmaceuticals and chemicals industries of Bangladesh offer a lot of investment panorama for the retail investors. This research has been an endeavor to determine the factors affecting the dividend policy of these promising industries, and guide the investment decisions of the equity investors. In this attempt, this study is also a unique one to incorporate the chemicals industry along with the pharmaceuticals industry as both the industries constitute the 'pharmaceuticals and chemicals sector' listed in the stock market of Bangladesh. The study is a quantitative one based on secondary data. It comprises of different statistical analyses such as descriptive statistics, correlation matrix and multiple linear regression analysis, etc. Firm size, growth, liquidity, profitability, last year's dividend and P/E ratio are used as dependent variables. Besides, ownership structure, firm age, market share, and risk are used as control variables. The study explores that firm size has significant negative and last year’s dividend has significant positive relationship with dividend payout. However, dividend payout does not depend on firm growth, liquidity, profitability and P/E ratio of a firm. The research outcome may have important implications for the improvement of investors' perceptions, which may assist them in their investment decisions in the researched industries. Certainly more work lies ahead to add to explanations for why some of the factors affect the dividend policy of the industries, while others have no significant impact thereon.

Download Full-text

Information Entropy Based Fuzzy Pattern Recognition Model for Identification of Vulnerable Groups in Water Resource Conflicts

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.610.316 ◽

2014 ◽

Vol 610 ◽

pp. 316-319

Author(s):

Li Feng Lv ◽

Yan Ping Chen

Keyword(s):

Pattern Recognition ◽

Water Resource ◽

Information Entropy ◽

Water Rights ◽

Liaoning Province ◽

Vulnerable Groups ◽

Recognition Model ◽

Resource Conflicts ◽

Fuzzy Pattern Recognition ◽

Fuzzy Pattern

Identification of vulnerable groups in water resource conflicts is to improve the identification of vulnerable groups in the allocation of water rights and water markets water rights system. There are two difficulties: one is how to determine the weight of evaluation indexes; another is how to effectively deal with the subjectivity of the evaluation process and the low resolution. Therefore, this paper proposes “Information Entropy Based Fuzzy Pattern Recognition Model for Identification of Vulnerable Groups in Water Resource Conflicts (EFPQ-VRWC)” according to the fuzzy pattern recognition based on the combination of the maximum entropy principle and genetic algorithms. And identifying vulnerable groups of Daling River Basin in Liaoning Province, it illustrates the method of application value. And evaluation results have continuity, comparability and versatility so that can accurately reflect the level of vulnerable groups in water resource conflicts.

Download Full-text