scholarly journals A Basic Technical Analysis of Shares on the Example of a Specific Company

2021 ◽  
Vol 91 ◽  
pp. 01041
Author(s):  
Jakub Horak ◽  
Jiri Sulek
Keyword(s):  
Data Collection ◽  
Stock Price ◽  
Technical Analysis ◽  
Price Increase ◽  
Share Price ◽  
Moving Averages ◽  
Price Movement ◽  
Different Types ◽  
Trading Volumes ◽  
The Given

This paper deals with the technical analysis of The Coca-Cola Company (KO) shares. The first signal for the stock price movement was created on the basis of the intersections of moving averages, namely after intersecting the shorter average through the longer average. This signal signifies a drop in the share price. The same signal was generated after comparing the trend of the share price and the trend of the trading volumes. It is these particular trends that have a different direction. Consequently, this is an indicator for a decline in the share price. The last signal created a graphical pattern called symmetric bear triangle which also predicts a drop in the stock price. Only one indicator did not generate a signal for price increase or decrease, namely the RSI with a 14-day period. The examined data collection contains data from 2.1.2015 to 29.4.2020. At the same time, all presented results and predictions are based on the date of April 29, 2020. Finally, the use of the given indicators for different titles, assets or for different types of trade with different lengths is evaluated and proposed. The paper provides suggestions of measures for investors and speculators which should be applied before the start of the analysis.

scholarly journals Analisis Keakuratan Indikator Bollinger Bands Terhadap Pergerakan Harga Saham: Studi Kasus pada Saham PT Astra Agro Lestari Tbk

2014 ◽  
Vol 5 (1) ◽  
pp. 112
Author(s):  
Frankandinata Frankandinata ◽  
Yoyo Cahyadi
Keyword(s):  
Stock Price ◽  
Technical Analysis ◽  
Analytical Tool ◽  
Software Review ◽  
Moving Averages ◽  
Price Movement ◽  
Lower Band ◽  
Library Research

Technical analysis is an analytical tool to analyze price movement of an investment instrument like stock. Practically, there are a lot of indicators that can be used in technical analysis. One of them is Bolinger Bands. Bolinger Bands has 3 moving averages lines, which are Upper Band, Middle Band, and Lower Band. Study used library research and software review by analyzing the candlestick chart of stock price with ChartNexus software. The stock for this study was Astra Agro Lestari (AALI) and the period was 1 July 2010 until 31 May 2013. Results showed that Bolinger Bands gave 45 signals in the period with 75.56% accuracy.

scholarly journals PENGARUH INFLASI, PROFITABILITAS, STRUKTUR MODAL, DAN EARNING PER SHARE TERHADAP HARGA SAHAM PERUSAHAAN CONSUMER GOODS

2019 ◽  
Vol 8 (6) ◽  
pp. 3930
Author(s):  
Septia Wulandari Suarka ◽  
Ni Luh Putu Wiagustini
Keyword(s):  
Data Collection ◽  
Consumer Goods ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Participant Observation ◽  
Share Price ◽  
Significant Positive Effect ◽  
Positive Effect

The purpose of this study is to analyze the significance of the influence of inflation, ROE, DER, and EPS on stock prices. This research was conducted at Concern Goods Companies that are listed on the Indonesia Stock Exchange (IDX) for the 2015-2017 period. The number of samples of this study were 31 companies. Data collection is done by the method of non-participant observation. Based on the results of the analysis found that inflation, ROE. DER, and EPS simultaneously have a significant effect on stock prices. Partially Inflation and DER have no significant effect on stock prices, this indicates that investors do not see Inflation and DER as a decision to buy shares. While partially ROE and EPS have a significant positive effect on stock prices, this shows that investors pay attention to ROE and EPS in deciding to invest. The higher the ROE and EPS, the higher the investor's interest in investing in the company's capital, so that the share price will go up. Keywords: Inflation, ROE, DER, EPS, stock price    

Stock price movement around the merger announcements: insider trading or market anticipation?

2014 ◽  
Vol 40 (8) ◽  
pp. 821-843 ◽  
Author(s):  
Pawan Jain ◽  
Mark A. Sunderman
Keyword(s):  
Insider Trading ◽  
Stock Price ◽  
Policy Implications ◽  
Securities Market ◽  
Price Movement ◽  
Content Type ◽  
Different Types ◽  
Time Periods ◽  
Merger Announcement ◽  
Merger Announcements

Purpose – The purpose of this paper is to examine the stock price movements for existence of informed trading prior to a merger announcement for the companies listed on the emerging markets of India for the period from 1996 to 2010. Design/methodology/approach – This study applies several event study methodologies and regression analyses to analyze the stock price movement surrounding a merger announcement. The paper divides mergers in two different types: industry merger cases and non-industry merger cases and in two different time periods: recession and boom. Findings – The results show that the information held only by insiders’ works its way into prices. The paper finds strong evidence of insider trading in the case of industry mergers and mergers during recessions. Practical implications – The results from this study have immediate policy implications for India and other developing markets as the paper provides the type of mergers and time periods when merger announcements are more susceptible to insider trading. Originality/value – The paper extends the literature on mergers and insider trading by analyzing firms trading on a developing capital market, which, unlike the developed markets, is characterized by inadequate disclosure and a weaker enforcement of securities regulations. The results support this notion and recommend Indian securities market regulators to tighten the lax regulations. In addition, the author document the divergence in price reaction to the merger announcements for different types of mergers: industry mergers and non-industry mergers, as well as for mergers during different market conditions: recession vs booming capital markets.

scholarly journals PROSPEK SAHAM PERBANKAN DI INDONESIA

2020 ◽  
Vol 9 (2) ◽  
pp. 175
Author(s):  
Iwan Kusmayadi ◽  
Muhammad Ahyar ◽  
Muhdin Muhdin ◽  
G. A. Oktaryani
Keyword(s):  
Data Collection ◽  
Stock Price ◽  
Banking Sector ◽  
Market Performance ◽  
Sampling Technique ◽  
Share Price ◽  
Sample Survey ◽  
Annual Growth Rate ◽  
Earning Growth ◽  
Stock Market Performance

The focus of this research is to determine stocks provide the highest profit (gain opportunity) for investors. Investors will compare opportunities in choosing investment in the banking sector by comparing the combination of long-term growth rates rather than bank fundamentals with stock valuations. The population in this study is banking stocks included in the LQ45 index. The method of data collection uses a sample survey with a purposive sampling technique with the criteria of banking stocks with the largest market capitalization and has a high level of liquidity in trading values, and has consistently been included in the LQ45 index for the last 10 years (2008 to 2017). The number of samples selected were 4 banks consisting of Bank Mandiri (BMRI), Bank BRI (BBRI), Bank BCA (BBCA), and Bank BNI (BBNI). Data collection techniques through documentation, as well as quantitative data sourced from secondary data. Data analysis techniques by comparing the growth of fundamental performance such as Return On Assets (ROA), Return On Equity (ROE), Debt to Equity (DER), Capital Addequacy Ratio (CAR), and Non Performing Loans (NPL). Whereas market performance through Share Price, Earning Per Share (EPS), Price Earning Ratio (PER), Price to Earning Growth (PEG), and Dividend Yield by using compounded annual growth rate (CAGR). Then compare the value of the Margin Of Safety (MOS) Average in stock valuation analysis. The results of this study indicate that the financial performance of Bank BCA (BBCA) is superior to other banks according to DER, CAR and NPL. BRI is the best bank in generating profitability (ROA and ROE) compared to 3 other banks. Meanwhile, according to the stock market performance based on the order of the greatest opportunity level, Bank BNI has the best prospects because it has the largest EPS growth, the lowest stock price valuation, and sufficient MOS value, then ranked below it respectively are Bank Mandiri, Bank BRI, and Bank BCA .Keywords:Financial performance, market performance, and stock value

scholarly journals Analisis Teknikal Harga Saham Waskita Karya Tahun 2017 dengan Metode ARIMA

2018 ◽  
Vol 7 (1) ◽  
pp. 122-126
Author(s):  
Wahyuni Windasari
Keyword(s):  
Key Words ◽  
Stock Prices ◽  
Stock Price ◽  
Historical Data ◽  
Arima Model ◽  
Security Analysis ◽  
Technical Analysis ◽  
Price Movement

AbstractAs an investor needs to do an analysis before making a decision either in selling or buyingshares. Security analysis consist of two types of analysis, namely tecnical analysis andfundamental analysis. Technical analysis to test wheater historical data will predict stock pricesas a consideration to buy or sell an investment's instrument. One type of technical analysis isthe ARIMA method. In this research uses daily stock price of WSKT Tbk during 1 Januari–10Oktober 2017 to predict stock prices the few days. The best ARIMA model to describe WSKTstock price movement is MA(4), with MAE predict data is 480.25.Key words : forecasting, ARIMA, technical analysis, stock prices.

Free Cash Flow as a Determinant of Performance and Stock Price Movement in Multinational Energy Companies

2016 ◽  
Vol 3 (1) ◽  
pp. 11-29 ◽  
Author(s):  
Ahmed Alalawi ◽  
Gagan Kukreja ◽  
Keshav Gupta
Keyword(s):  
Cash Flow ◽  
Stock Price ◽  
Free Cash Flow ◽  
Share Price ◽  
Positive Relation ◽  
Investment Opportunity ◽  
Price Movement ◽  
Investment Opportunities ◽  
High Return ◽  
Energy Companies

We used the Free Cash Flow (FCF) formula to test and determine the performance of these firms, along with testing the correlation with price movement. Previous Studies showed that Free Cash flow has positive correlation with taking investment opportunities, while negative Free Cash flow represent distressed period for the firm. Questions addressed in the article is (1) whether FCF can determine the energy firm’s performance and stock price movement, (2) whether high FCF triggers investing in high return investments, and (3) whether low or negative FCF leads to financially distressed period. The results are consistent with high Free Cash flow will result in greater investment opportunity while low or negative Free Cash flow will result in distressed period for the firm. In addition, the results showed positive relation between Free Cash flow and share price movement.

scholarly journals Perancangan Aplikasi Analisis Saham Menggunakan Metode Rate Of Change

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Syahrul Anwar
Keyword(s):  
Stock Price ◽  
Technical Analysis ◽  
Rate Of Change ◽  
Analysis Method ◽  
Main Concept ◽  
Price Movement ◽  
Final Project ◽  
Stock Investment ◽  
Closing Price ◽  
The Difference

Stock is the most popular method today for investing and offers a lot of profit. The profit came from the difference between the prices when you buy it and when you sell it. Even though, the risk for investing using stock is very big. That is why stock investment must be done with correct analysis to maximize the profit and to avoid loss.One of methods for analyzing stock price movement is technical analysis. Technical analysis is a method which is based on stock price movement in the past time. One of popular technical analysis method is Rate of Change. The main concept is to compare current closing price with the closing price x-times periods ago. Using this method, stock broker will know the pace at which price is changing. Tracking the rate of the change of price can confirm trends and forewarn of market reversals. In this final project, I’ve tried to study the process of technical analysis using Rate of Change method, and then I developed software to implement this method. In the early phase, I studied some literature which is related to theories of stock market and technical analysis. After that I did some analyses which involve the analysis of how Rate of Change method works and functional specifications of the software which I would develop. Based on the results of the analysis, I did the design process. The purpose of Rate of Change test is to examine the accuracy of this method on detecting trade signals. And then this final project closed with the conclusion and suggestion for future development. Key Words:

scholarly journals THE INFLUENCE OF USING FUNDAMENTAL AND TECHNICAL ANALYSIS ON SHARE PRICES

2021 ◽  
Vol 5 (2) ◽  
pp. 103-111
Author(s):  
Firdaus Gusti Redha romadi putra ◽  
Eni Wuryani
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Sample Selection ◽  
Technical Analysis ◽  
Share Price ◽  
Return On Assets ◽  
Book Value ◽  
Share Prices ◽  
Food And Beverage

This study aims to determine the effect of the variables contained in fundamental and technical analysis of stock prices. Variables used include Earning Per Share, Return On Assets, Book Value Per Share, Price to Book Value, Past Share Prices, Dup and Ddown. Sample selection uses saturated samples by using all food and beverage companies listed on the Indonesia Stock Exchange in the 2014-2018 period. The data analysis technique used is regression analysis using SPSS 23. The results of the study show that simultaneously all variables affect the stock price. Partially Earning Per Share, Price to Book Value, Past Share Prices, and Ddown have a significant effect on stock prices, while Return On Assets, Book Value Per Share, and Dup have no significant effect on stock prices.

scholarly journals Stock Price Movement through Technical Analysis: Empirical Evidence from the Information Technology (IT) Sector

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Shalini Singh ◽  
Anindita Chakraborty
Keyword(s):  
Stock Price ◽  
Moving Average ◽  
Secondary Data ◽  
Technical Analysis ◽  
Future Price ◽  
Analysis Tool ◽  
Price Movement ◽  
Technical Indicators ◽  
Share Prices ◽  
The Future

<em>Technical analysis forecasts the future asset prices with the use of their historical prices, trading volumes, market action and primarily through the uses of charts that predicts the future price trends. Technical analysis guides the investor to track the market with different indicators which is convenient for their study. Technical indicators aids to analyse the short-term price movement of the shares, most importantly it indicates the turning point and helps in projecting the price movement. This paper is prepared to employ the technical analysis tool to IT index companies. Indicators have been analysed using share prices of companies for 1 years, i.e., from January 2015- December 2015. Study is performed using secondary data, which has been collected from NSE website. The Technical Indicators used for the study are Bollinger Bands and MACD (Moving Average Convergence and Divergence). The purpose of the study is to find the best technical indicator to analyse the share prices.</em>

STOCK EVALUATION USING FUZZY LOGIC

2001 ◽  
Vol 04 (04) ◽  
pp. 585-602 ◽  
Author(s):  
HUSSEIN DOURRA ◽  
PEPE SIY
Keyword(s):  
Fuzzy Logic ◽  
Human Behavior ◽  
Stock Prices ◽  
Stock Price ◽  
Evaluation Method ◽  
Technical Analysis ◽  
Price Movement ◽  
Analysis Theory ◽  
System Output ◽  
Logic System

We use fuzzy logic engineering tools to detect human behavior in the finance arena, specifically in the technical analysis field. Since technical analysis theory consists of indicators used by experts to evaluate stock prices, the new proposed method maps these indicators into new inputs that can be fed into a fuzzy logic system. This system can create an optimum computerized model to evaluate stock price movement. This method relies on human psychology to predict human behavior when certain price movements or certain price formations occur. The success of the system is measured by comparing system output versus stock price movement. The new stock evaluation method is proven to exceed market performance and it can be an excellent tool in the technical analysis field. The flexibility of the system is also demonstrated.

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