scholarly journals LQ45 Stock Index Prediction using k-Nearest Neighbors Regression

2019 ◽  
Vol 8 (3) ◽  
pp. 2388-2391 ◽  
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Numerical Data ◽  
Nearest Neighbors ◽  
Stock Index ◽  
K Nearest Neighbors ◽  
Stock Price Prediction ◽  
The Capital Market

The capital market is an organized financial system consisting of commercial banks, intermediary institutions in the financial sector and all outstanding securities. One of the benefits of the capital market is creating opportunities for the community to participate in economic activities, especially in investing. In daily stock trading activities, stock prices tend to have fluctuated. Therefore, stock price prediction is needed to help investors make decisions when they want to buy or sell their shares. One asset for investment is shares. One of the stock price indices that attracts many investors is the LQ45 stock index on the Indonesian stock exchange. One of the algorithms that can be used to predict is the k-Nearest Neighbors (kNN) algorithm. In the previous study, kNN had a higher accuracy than the moving average method of 14.7%. This study uses kNN regression method because it predicts numerical data. The results of the research in making the LQ45 stock index prediction application have been successfully built. The highest accuracy achieved reaches 91.81% by WSKT share.

scholarly journals Rogalsky Effect pada Bursa Efek Indonesia Tahun 2013–2017 (Studi Kasus Indeks Saham Bisnis-27)

2019 ◽  
Vol 4 (2) ◽  
pp. 146
Author(s):  
Muhammad Yusril Laksana Amrullah ◽  
Khairunnisa Khairunnisa
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Research Data ◽  
Stock Index ◽  
Distributed Data ◽  
Market Anomalies ◽  
Smirnov Test ◽  
The Capital Market

Market anomalies described the price of shares outstanding in the market show that performance in contravention of the concept of the capital market efficient in other words the stock price does not reflect all the information is in the capital market efficient. The purpose of this research is to see if is going on the phenomenon of market anomalies seasonal in nature namely rogalsky effect in the index bisnis-27 indonesia stock exchange a period of 2013 - 2017. A method of testing using Kolmogrov-Smirnov test to see normally distributed data, Independent Sample T-Test to hypothesis. The research data the stock price is secondary. Testing of statictic using SPSS 25 version software. The result of this research suggests that not happened Rogalsly Effect on stock index bisnis-27 period 2013 - 2017. The implications of this research indicates that appear new phenomenon but rogalsky effect that occurs on Wednesday.The results that not found Rogalsky Effect, investors can buy stock prices than on Wednesday for a cheap price and sell back in the Wednesday with higher prices especially for January to get maximum return.

scholarly journals Pasar Modal dan Penanaman Modal Asing di Indonesia

2021 ◽  
Vol 4 (2) ◽  
pp. 477-484
Author(s):  
Poppy Camenia Jamil ◽  
Restu Hayati
Keyword(s):  
Foreign Investment ◽  
Capital Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Stock Index ◽  
Economic Activities ◽  
Investment Capital ◽  
The Relationship ◽  
The Capital Market

The role of the capital market for the economy of a country according to capital market education by PT. There are two functions of the Indonesia Stock Exchange, namely as a means of business funding or as a means for companies to obtain funds from investors (investors) for business development, expansion, additional working capital and others. This study aims to explain the relationship between the capital market and foreign investment in Indonesia. The variables used in this study are the return of the Composite Stock Price Index (IHSG) and Foreign Direct Investment (FDI) from 2003 to 2019. Data analysis techniques use regression analysis to explain the relationship between the capital market and foreign investment in Indonesia. Indonesia. The final results of the achievements in this study are to increase literacy understanding about economic activities, capital markets, investment to contribute to economic growth.  Keywords: IHSG, FDI, Investment, Capital Market, Stock Index.

scholarly journals PENGARUH CURRENT RATIO, NET PROFIT MARGIN DAN EARNING PER SHARE TERHADAP HARGA SAHAM DI BURSA EFEK INDONESIA (Studi Kasus pada Sub Sektor Food and Beverages)

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Rondonuwu Ester Faleria ◽  
Linda Lambey ◽  
Stanley Kho Walandouw
Keyword(s):  
Financial Performance ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Profit Margin ◽  
Current Ratio ◽  
Food And Beverages ◽  
Net Profit ◽  
The Capital Market

With the Indonesia Stock Exchange (IDX), every company's activity in the capital market will make it easier for investors to see the company's financial performance reflecting the financial condition of each reporting company. The capital market becomes an alternative for investors and shareholders to invest funds into companies that are registered on the Indonesia Stock Exchange (IDX). This study aims to examine the influence the variable Current Ratio, Net Profit Margin and Earning Per Share simultaneously and partially to stock prices. The samples in this research are 13 Food and Beverages companies listed in Indonesia Stock Exchange. Results that company financial performance measured by Current Ratio, Net Profit Margin and Earning Per Share do not have significant effect to stock price. t test concluded that the variable of Current Ratio, Net Profit Margin and Earning Per Share do not have significant effect to stock price in manufacturing company of Food and Beverages sub sector. Keywords: Current Ratio, Net Profit Margin, Earning Per Share, Stock Price.

scholarly journals PENGARUH EARNING PER SHARE (EPS) DAN PERTUMBUHAN PENJUALAN TERHADAP HARGA SAHAM PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Desi Nurul Hikmati Ilahiyah
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Share Price ◽  
Pharmaceutical Companies ◽  
Sales Growth ◽  
Earnings Per Share

On investing in the capital market one thing that must be considered is the stock price. The price of shares offered on a stock exchange is related to the achievements of the company. The share price can be purchased by earnings per share (EPS) and sales growth. The purpose of this study was to study the effect of earnings per share (EPS) and sales growth on the stock prices of pharmaceutical companies listed on the Indonesian stock exchange (IDX). The population in this study were 11 pharmaceutical companies that were accepted on the Stock Exchange and sampled through purposive sampling techniques as many as 9 companies in the 2015-2019 period. This study uses multiple linear regression analysis. EPS partial research results positive and significant EPS on EPS stock prices EPS has tcount (54,435)> ttable (2,02439), on the other hand, partial sales growth, positive and significant effect on stock prices, economic growth, thitung sales value ( -3,525) table (-2.02439). Simultaneous EPS and positive and significant growth in stock prices due to the results obtained Fcount (1560,773)> Ftable (3.25).

scholarly journals Financial Ratios and Share Prices of JII70 Indexed Companies for the 2018-2020 Period

2021 ◽  
Vol 6 (1) ◽  
pp. 23
Author(s):  
Ahmad Fauzan ◽  
Rindang Matoati
Keyword(s):  
Panel Data ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Share Price ◽  
Stock Index ◽  
Financial Ratios ◽  
Financial Ratio ◽  
Panel Data Regression ◽  
Data Regression

  Abstract: The sharia capital market in Indonesia has grown over the last five years. One of the members of the sharia capital market instrument is sharia shares. During the 2015-2020 period, the number of Islamic stock issuers continued to grow. The stock index is used by investors as a tool to choose stocks that suit their needs. IDX has issued three sharia stock indexes, and the most recent one is the JII70 index. A stock index is a collection of statistics about the price movement of a group of stocks that is evaluated periodically. One of the many factors that influence stock prices is the company's financial ratios. This study aims to analyze the influence of financial ratio factors such as Current Ratio (CR), Debt to Equity Ratio (DER), Total Assets Turnover (TATO), Return on Equity (ROE) and Earning per Share (EPS) on the stock price of JII70 indexed companies. The data used is secondary data in the form of JII70 indexed company financial statements in the 2018-2020 period. The method of determining the sample using purposive sampling. This research uses panel data regression analysis method. The results of this study show a significant effect of the DER and EPS variables on stock prices, while the CR, TATO and ROE variables do not significantly affect stock prices.Keywords: Share Price, JII70, Financial Ratio, Panel Data Regression, Sharia Shares

scholarly journals The Impact of Corona Virus Disease 2019 (COVID-19) on Indonesia Property Stock Index

2021 ◽  
Vol 4 (2) ◽  
pp. 85-96
Author(s):  
Kevin Ronaldo Gotama ◽  
Njo Anastasia
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Virus Disease ◽  
Sampling Technique ◽  
Stock Index ◽  
Event Analysis ◽  
Corona Virus ◽  
Before And After ◽  
The Impact

A promising investment in the property sector is due to appreciation in property value. As an economic instrument, the stock market, inseparable from different environmental factors, was triggered by incident in Wuhan, Hubei Province, China, an outbreak of acute respiratory tract infection 2 (SARS-CoV-2) in December 2019 and then spread across China. This study is a comparative study on the stock index of the property sector on the stock exchange of countries affected by the Corona Virus Disease 2019 (COVID-19) case, with a purposive sampling technique according to certain criteria for sample selection. The event analysis was performed by analyzing market reaction; with COVID-19 incident effect as one of the event tests, the stock price index. The findings of the study indicate that there is an index response to the incident of COVID-19. The reflected reaction shows in the abnormal return and trade volume activity before and after the incident. Thus, this study is expected to be taken into consideration for stock investors regarding the impact of the Corona Virus Disease 2019 (COVID-19) pandemic on stock prices, by providing an overview of changes in stock prices during the monitoring period, so that they can make investment decisions in the period before and after incident.

scholarly journals Pengaruh Profitabilitas, Dividend Payout Ratio dan Inflasi Terhadap Harga Saham

2021 ◽  
Vol 8 (1) ◽  
pp. 84
Author(s):  
Herman Setiawan ◽  
Victoria Victoria ◽  
Karen Victoria ◽  
Holfian Daulat Tambun Saribu ◽  
Erika Erika
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Capital Market ◽  
Consumer Goods ◽  
Stock Prices ◽  
Stock Exchange ◽  
Analysis Method ◽  
Dividend Payout ◽  
Share Prices ◽  
The Capital Market

The presence of the capital market in Indonesia is marked by the number of investors who purchase shares of entities that are registered in the capital market. The purpose of this research is to examine and analyze the effect of profitability, dividend payout ratio and inflation on share prices in consumer goods entities listed on the Indonesia Stock Exchange in 2014-2018. This type of research is quantitative. The population of this study is 41 consumer goods companies listed on the Indonesia Stock Exchange for the period 2014- 2018, the sample of this study is 17 companies x 5 years = 85 samples. The data analysis method of this research is to use multiple linear regression with SPSS. The results of this study are Profitability has a significant and significant effect on stock prices, while Dividend Payout Ratio and inflation have no effect on Stock Prices, and simultaneously Profitability, Dividend Payout Ratio and inflation have a significant and significant effect on Share Prices in Consumer Goods Entities listed on the Indonesia Stock Exchange. 2014-2018.

scholarly journals Application of Genetic Algorithm and Personal Informatics in Stock Market

2018 ◽  
Vol 2 (2) ◽  
pp. 68 ◽  
Author(s):  
Khulood Albeladi ◽  
Salha Abdullah
Keyword(s):  
Genetic Algorithms ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Stock Index ◽  
Target Market ◽  
Technical Data ◽  
Personal Informatics ◽  
Informatics System ◽  
Input Variables

The financial market is extremely attractive since it moves trillion dollars per year. Many investors have been exploring ways to predict future prices by using different types of algorithms that use fundamental analysis and technical analysis. Many professional speculators or amateurs had been analysing the price movement of some financial assets using these algorithms. The use of genetic algorithms, neural networks, genetic programming combined with these tools in an attempt to find a profitable solution is very common. This study presents a prototype that utilizes genetic algorithms (GAs) and personal informatics system (PI) for short-term stock index forecast. The prototype works according to the following steps. Firstly, a collection of input variables is defined through technical data analysis. Secondly, GA is applied to determine an optimal set of input variables for a one-day forecast.  The data is gathered from the Saudi Stock Exchange as being the target market. Thirdly, PI is utilised to create a smart environment, which enables visualisation of stock prices. The outcome indicates that this approach of forecasting the stock price is positive. The highest accuracy obtained is 64.67% and the lowest one is 48.06%.

PEMODELAN HARGA SAHAM BLUE CHIP MENGGUNAKAN VECTOR AUTOREGRESSIVE (VAR)

2016 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Agus Suharsono ◽  
Aryo Wibisono
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Rapid Development ◽  
Information Criterion ◽  
Profit Sharing ◽  
Blue Chip ◽  
The Capital Market

In a stock exchange in the capital market, the most in demand by investors is stocks. Shares are securities which shows the ownership of the company, so that shareholders have the right to a dividend or other distribution of profit sharing as well as by the company to its shareholders. The capital market is an indicator of economic progress and support the economy of a country. In this decade, the stock market has experienced rapid development due to pressure from technological change, liberalization and globalization. These changes affect the behavior of the capital markets and cause long-term balance and improving the relations between the world's capital markets. Otherwise interconnected capital markets if the two separate markets have the same movement and the correlation between the movement of the index. Capital markets in the region are likely to have the same movement and the effects of contagion (contagion effect) is high (1). During the observation period, October 2015 to March 2016, there was a phenomenon in which IHSG is not always the same and has a correlation with the movement of world stock market indices. It is also supported by the differences found in the results of some previous studies. The purpose of this study was to determine the relationship between stocks bluechip : Astra International Tbk (ASII), Unilever Indonesia Tbk (UNVR), Astra Agro Lestari Tbk (AALI), Bank Rakyat Indonesia Agroniaga (AGRO) and Bank Rakyat Indonesia (BRI ). The analytical method used in this study is Multivariate Time Series, especially Vector Autoregression (VAR). The results of this study with the model produces the best model VAR (2), AGRO = 11.56 - 4.03*ASII(-1) - 4.40*ASII(-2) + 3.76*UNVR(-1) + 1.27*UNVR(-2) + 1.38*AALI(-1) + 2.54*AALI(-2) + 0.73*AGRO(-1) + 0.14*AGRO(-2) + 5.40*BRI(-1) - 1.34*BRI(-2). The value of AIC (Akaike Information Criterion) = 4.47 Keywords: BLUE CHIP, Stock Price, VAR.

Analysis of Gradient Descent Optimization Techniques with Gated Recurrent Unit for Stock Price Prediction: A Case Study on Banking Sector of Nepal Stock Exchange

2019 ◽  
Vol 24 (2) ◽  
pp. 17-21
Author(s):  
Arjun Singh Saud ◽  
Subarna Shakya
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Gradient Descent ◽  
Banking Sector ◽  
Stock Exchange ◽  
Optimization Techniques ◽  
Future Price ◽  
Stock Price Prediction ◽  
Price Prediction ◽  
The Cost

The stock price is the cost of purchasing a security or stock in a stock exchange. The stock price prediction has been the aim of investors since the beginning of the stock market. It is the act of forecasting the future price of a company's stock. Nowadays, deep learning techniques are widely used for identifying the stock trends from large amounts of past data. This research has experimented two big and robust commercial banks listed in the Nepal Stock Exchange (NEPSE) and compared stock price prediction performance of GRU with three widely used gradient descent optimization techniques: Momentum, RMSProp, and Adam. GRU with Adam is more accurate and consistent approach for predicting stock prices from the present study.

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