scholarly journals The role of pairing the RSI and the Japanese candlestick in making sure to choose the right time to sell and purchasing the stock Applied in a selected sample of companies listed in the Iraqi Stock Exchange

2019 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Ammar Shihab Ahmed
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Investment Decision ◽  
Supply And Demand ◽  
Analytical Techniques ◽  
Technical Analysis ◽  
Analysis Techniques ◽  
Real Market ◽  
The Right

The issue of determining the appropriate timing for the decisions of buying and selling shares is one of the most important topics and the concern of all investors in the stock market, whether they are natural or Morality persons . This interest has been generated by many of those interested in technical analysis to invent techniques, methods and indicators for the purpose of analyzing the performance of the stock market. Maximize the chances of profit and reduce the chances of loss, and investors suffer from the problem of choosing the right time to conduct the sale or purchase of shares of different sectors and companies, and contribute technical analysis techniques in tracking the movement of the prices of those shares to indicate their direction If it is in the case of continuous rise or in the case of continuous decline, if the trend of the movement of shares in the case of continuous rise, this rise will not continue to the end must come a period of time in which prices fluctuate and change direction downward and vice versa in the case of continuous decline, Technical analysis techniques that move through the different graphics and shapes we can use and make use of in the timing of buying and selling shares. There are a lot of technical analysis techniques including Japanese candlesticks, RSI and many more, but important when we want to use We need to use at least two analytical techniques in order to avoid uncertainty in determining the real market trends and thus making the right investment decision, whether it is the sale of shares and the analysis of the mechanism of supply and demand.

scholarly journals The importance of the role of financial analysis  in making investment decisions in securities - Case Study: Khartoum Stock Exchange: أهمية دور التحليل المالي في اتخاذ القرارات الاستثمارية في الأوراق المالية دراسة حالة: سوق الخرطوم للأوراق المالية

2021 ◽  
Vol 5 (17) ◽  
pp. 99-79
Author(s):  
Waleed Alsayed Almahdi Ahmed Waleed Alsayed Almahdi Ahmed
Keyword(s):  
Financial Analysis ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Financial Statements ◽  
Research Problem ◽  
Sufficient Information ◽  
The Right ◽  
Rational Investment

This research aimed at the followings: Identifying the important role of financial analysis depending on information cited on financial statements and reports in making the right investment decision in Khartoum Stock Exchange. Adopting a reliable financial analysis that can assist to analyze and evaluate the financial and non-financial information to make decisions of buying، selling or reserving stocks with rational investment decisions at Khartoum Stock Exchange. In order to discuss the research problem، the researcher tests the hypotheses: The rational financial analysis is considered an effective tool in making a good investment decision, the accounting information helps investors in stock markets in making the right investment decision. The research adopts the deductive methodology to formulate the research problem and hypotheses; the inductive method to collect data from primary and secondary sources; the historical method to tackle the previous studies; whereas the analytical-descriptive method to test the validity of the hypotheses. The important results of the research could be summarized as Adopting modern financial analysis techniques provide information that help in making the right investment decisions Failure to make the rational investment decision is related to inefficiency of the information and financial reports depended upon in each stage of making investment decision and Whereas the most important recommendations are to adopt modern techniques in analyzing financial statements by using SPSS. Provide sufficient information about stock exchange rates and dealings regularly on the internet websites and workshop papers.

scholarly journals A Predictive Meta Model for Forecasting Stock Price using Time Series Data

2021 ◽  
Vol 10 (1) ◽  
pp. 345-356
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Meta Model ◽  
Price Range ◽  
Stock Traders ◽  
The Right

Stock market prediction through time series is a challenging as well as an interesting research areafor the finance domain, through which stock traders and investors can find the right time to buy/sell stocks. However, various algorithms have been developed based on the statistical approach to forecast the time series for stock data, but due to the volatile nature and different price ranges of the stock price one particular algorithm is not enough to visualize the prediction. This study aims to propose a model that will choose the preeminent algorithm for that particular company’s stock that can forecastthe time series with minimal error. This model can assist a trader/investor with or without expertise in the stock market to achieve profitable investments. We have used the Stock data from Stock Exchange Bangladesh, which covers 300+ companies to train and test our system. We have classified those companies based on the stock price range and then applied our model to identify which algorithm suites most for a particular range of stock price. Comparative forecasting results of all algorithms in diverse price ranges have been presented to show the usefulness of this Predictive Meta Model

Theory, Sampling, and Analytical Techniques in the Archaeological Study of Prehistoric Ceramics

1993 ◽  
Vol 58 (01) ◽  
pp. 23-44 ◽  
Author(s):  
Hector Neff
Keyword(s):  
Evolutionary Theory ◽  
Significant Variation ◽  
Analytical Techniques ◽  
Technical Analysis ◽  
Archaeological Record ◽  
Archaeological Theory ◽  
Analytical Procedures ◽  
Methodological Advance ◽  
Prehistoric Ceramics

How archaeologists analyze pottery is determined by archaeological theory, sampling considerations, and available analytical techniques. The most damaging impediment to methodological advance is lack of a theory of how patterns of ceramic variation are generated. It is argued herein that Darwinian evolutionary theory (or selectionism) provides a body of concepts capable of explaining patterned variation and specifies measurements to make in testing specific explanatory statements. Most existing analytical procedures (e.g., the "Type-Variety" system) are regarded as aspects of sampling, the role of which is to help reduce some of the bewildering heterogeneity in ceramic collections before attempting to measure evolutionarily significant variation. Technical analysis, often considered the domain of nonarchaeological specialists, actually produces the measurements needed to test explanatory statements made about pottery observed in the archaeological record.

Theory, Sampling, and Analytical Techniques in the Archaeological Study of Prehistoric Ceramics

1993 ◽  
Vol 58 (1) ◽  
pp. 23-44 ◽  
Author(s):  
Hector Neff
Keyword(s):  
Evolutionary Theory ◽  
Significant Variation ◽  
Analytical Techniques ◽  
Technical Analysis ◽  
Archaeological Record ◽  
Archaeological Theory ◽  
Analytical Procedures ◽  
Methodological Advance ◽  
Prehistoric Ceramics

How archaeologists analyze pottery is determined by archaeological theory, sampling considerations, and available analytical techniques. The most damaging impediment to methodological advance is lack of a theory of how patterns of ceramic variation are generated. It is argued herein that Darwinian evolutionary theory (or selectionism) provides a body of concepts capable of explaining patterned variation and specifies measurements to make in testing specific explanatory statements. Most existing analytical procedures (e.g., the "Type-Variety" system) are regarded as aspects of sampling, the role of which is to help reduce some of the bewildering heterogeneity in ceramic collections before attempting to measure evolutionarily significant variation. Technical analysis, often considered the domain of nonarchaeological specialists, actually produces the measurements needed to test explanatory statements made about pottery observed in the archaeological record.

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 INTELLIGENCE AND FINANCIAL LITERACY ON INVESTMENT DECISION MAKING WITH A MEDIATING ROLE OF RISK PERCEPTION

2014 ◽  
Vol 02 (02) ◽  
pp. 12-20
Author(s):  
Sahar Parvez ◽  
Keyword(s):  
Emotional Intelligence ◽  
Risk Perception ◽  
Financial Literacy ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Mediating Role ◽  
Investment Decision Making ◽  
The Impact

This research paper examines the impact of emotional intelligence and financial literacy on investment decision with a mediating role of risk perception. The data is collected by using questionnaire, from a sample of 152 investors, from stock exchange and banks. The results support that to make adequate investment decisions, investors should be financially literate and have control on their emotions. However, risk perception of investors does not mediate this relationship.

scholarly journals The Impact of Investment Decision and Funding on Financial Performance and Firm Value

2019 ◽  
Vol 8 (2) ◽  
pp. 103
Author(s):  
Hadi Santoso
Keyword(s):  
Data Analysis ◽  
Financial Performance ◽  
Firm Value ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
The Right ◽  
The Impact ◽  
Selection Of

Managers who are responsible for the management of companies are faced with two important decisions - investment and funding. The right investment decisions and choice of funding sources are important because they affect the company's financial performance. The selection of the types of assets to be invested and the right types of financing sources result in optimal returns for the company. It reflects good company performance and future prospects. In addition, optimal return is a good sign for investors. Companies that perform well experience increase in the value of their firm. This study examined the effect of investment decisions and the selection of appropriate sources of funds on the performance of the company and the consequent impact on the firm value. The study was conducted in two parts. The first part examined the effect of investment decisions on long-term assets with long-term funding on the rate of return and firm value. The second part examined the effect of investment decisions on the company's short-term assets and funding for financial performance and firm value. The case study used in this research is a consumer goods sub-sector company listed on the Indonesia Stock Exchange in the period 2010 to 2017. Path analysis is the data analysis tools that was used. The results of data analysis showed that the asset structure has an effect on financial performance and firm value. The capital structure affects the financial performance but does not affect the firm value of the company. Financial performance was measured by ROI.

scholarly journals Understanding the Investors’ Investment Decisions through Some Data Mining Tools- A Study in Dhaka Stock Exchange (DSE)

2018 ◽  
pp. 9-19
Author(s):  
Md. Khashrul Alam ◽  
S. M. Towhidur Rahman ◽  
Afifa Khanom
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Stock Market ◽  
Stock Exchange ◽  
Investment Decision ◽  
Scientific Data ◽  
Wrong Decision ◽  
Secondary Sources ◽  
Money Flow ◽  
Mining Tools

Purpose: Decision making is the process of choosing a particular alternative from a number of alternatives. Decision making is very much important in investment in the stock market. As it is enormously sensitive, a wrong decision may put the investor back to the street. Modern scientific data mining tools can play important role in making investment decision in the stock market. The purpose of the study is to find out the effectiveness of investors’ decision in buying and selling stock and the efficiency of some data mining tools in aiding investor’s decision. Methodology: This paper used several data mining techniques such as beta, Chaikin money flow indicator (CMI) and Bollinger band to analyze investors’ decision in buying and selling stocks. Data for the study were taken both from primary and secondary sources specially, from website of Dhaka Stock Exchange. Findings: The result shows that in most cases majority of investors failed to take right decision in right time in terms of the estimation derived from data mining tools used in the study. It was also found that Bollinger band was found to be more efficient than CMI in making prediction.

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