scholarly journals Forecasting Changes in Stock Prices on the Basis of Patterns Identified with the Use of Data Classification Methods

2014 ◽  
Vol 14 (1) ◽  
pp. 7-21
Author(s):  
Jacek Szanduła
Keyword(s):  
New York ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Data Classification ◽  
Classification Methods ◽  
Financial Instrument ◽  
Partitioning Around Medoids ◽  
Use Of Data ◽  
Short And Long Term

Abstract The paper develops the concept of harnessing data classification methods to recognize patterns in stock prices. The author defines a formation as a pattern vector describing the financial instrument. Elements of such a vector can be related to the stock price as well as sales volume and other characteristics of the financial instrument. The study uses data concerning selected companies listed on the stock exchange in New York. It takes into account a number of variables that describe the behavior of prices and volume, both in the short and long term. Partitioning around medoids method has been used for data classification (for pattern recognition). An evaluation of the possibility of using certain formations for practical purposes has also been presented.

International Stock Price Co-movement

2013 ◽  
Vol 12 (3) ◽  
pp. 157-191 ◽  
Author(s):  
Kenjiro Hirayama ◽  
Yoshiro Tsutsui
Keyword(s):  
New York ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
New York Stock Exchange ◽  
Common Shocks ◽  
Standard Time ◽  
Minute Period ◽  
York Stock Exchange ◽  
International Investors

Two possible causes of international stock price co-movement are examined: the existence of global common shocks and portfolio adjustments by international investors. Empirical analyses indicate that the former explains a significant part of the co-movement and the latter is unlikely to play an important role. We extend the analysis to intra-day high-frequency data. For example, when the Tokyo Stock Exchange begins its daily trading at 9:00 A.M. Japan Standard Time (JST), stock prices in Tokyo exhibit responses to preceding changes in New York. An analysis with minute-byminute data indicates that Tokyo's response to New York dissipates within about six minutes after opening. On the other hand, when the New York Stock Exchange (NYSE) opens at 9:30 A.M. Eastern Standard Time (EST), its response to Tokyo dissipates within 14 minutes. Thus, the movement of stock prices is transmitted rapidly across countries. Finally real-time simultaneous interactions between Shanghai (Shenzhen) and Tokyo are analyzed for a 30-minute period in the morning and a 60-minute period in the afternoon. Investors in Tokyo are watching stock prices in Shanghai, but not vice versa. Tight regulations on Chinese investors to prevent them from holding foreign stocks may be the reason why they do not pay any attention to stock price movements in Tokyo.

Forecasting of Stock Price Using Autoregressive Integrated Moving Average Model

2019 ◽  
Vol 16 (8) ◽  
pp. 3519-3524
Author(s):  
Loh Chi Jiang ◽  
Preethi Subramanian
Keyword(s):  
New York ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Exchange ◽  
Moving Average ◽  
Arima Model ◽  
Stock Index ◽  
Series Data ◽  
Autoregressive Integrated Moving Average

Finance sector is highly volatile where the stock prices fluctuate rapidly and it is usually challenging to forecast. The unstable conditions and rapid changes can drastically modify the monetary value of an organization or an individual. Hence, the prediction of stock prices continues to remain as one of the sizzling and vital topics in the applications of data mining in the finance sector. This forecasting is significant as it has the potential to reduce the losses that happen mainly due to erroneous intuitions and blind investment. Moreover, the prediction of stock prices endure to increase in complexity with accumulation of more and more historical data. This paper focuses on American Stock Market (New York Stock Exchange and NASDAQ Stock Exchange). Taking into account the complexity of the prediction, this research proposes Autoregressive Integrated Moving Average (ARIMA) model for estimating the value of future stock prices. ARIMA demonstrated better results for prediction as it can handle the time series data very well which is suitable for forecasting the future stock index.

Effect Of Leverage, Inflation And GDP To Share Price Pt. Astra Otoparts Tbk.

ProBank ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 17-21
Author(s):  
Heriyanta Budi Utama ◽  
Florianus Dimas Gunurdya Putra Wardana
Keyword(s):  
Gross Domestic Product ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Share Price ◽  
Domestic Product ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Purposive Sampling

The purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015. The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression. The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share priceThe purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015.The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression.The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share price

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    

scholarly journals FACTORS AFFECTING OPERATING CASH FLOW TO STOCK RETURN THROUGH STOCK PRICE

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Aprih . Santoso
Keyword(s):  
Stock Returns ◽  
Cash Flow ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Return ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Operating Cash Flow

Abstract : Companies need funds in order to carry out operations such as the financing of production activities, pay employees, pay other expenses related to the operation of the company. One way to obtain these funds is to attract investors to invest in companies in the form of stock, but in making this investment is certainly not easy for investors, because investors need consideration beforehand to find out how the company's performance. The purpose of this study was to examine and analyze the effect of operating cash flow to stock return through stock price at companies listed on the Stock Exchange Year 2012-2015. The data used in this study dala are secondary data from the financial statements of companies listed on the Indonesia Stock Exchange period 2012 - 2015. The data are in the form of financial statements can be obtained from the Indonesian Capital Market Directory (ICMD), the IDX website www.idx.co. id as well as from various other sources to support this research. The population in this research is manufacturing companies listed on the Stock Exchange the period 2012 - 2015. The samples taken by the sampling technique used purposive sampling.From the test results and analysis of the data it can be concluded that operating cash flow directly and indirectly has no effect on stock returns through stock prices showed no significant results. Keywords :  Operating Cash Flow, Stock Price, Stocks Return

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 Systematic illiquidity, characteristic illiquidity, and stock returns: Timeseries analysis

2022 ◽  
Vol 9 (2) ◽  
pp. 72-80
Author(s):  
Soltane et al. ◽  
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Timeseries Analysis ◽  
The Relationship

The objective of this research is to investigate the relationship between illiquidity and stock prices on the Tunisian stock exchange. While previous researches tended to focus on one form of illiquidity to examine this relationship, our study unifies three forms of illiquidity at the same time. Indeed, we simultaneously consider illiquidity as systematic risk, as a characteristic of the market, and as a characteristic of the stock. The aggregate illiquidity of the market is the average of individual stock illiquidity. The illiquidity risk is the sensitivity of the stock price to illiquidity shocks. Shocks of market illiquidity are estimated by the innovations in the expected market illiquidity. Results show that investors on the Tunisian stock exchange do not require higher returns when they expect a rise of market illiquidity, whereas investors on U.S markets are compensated for higher expected market illiquidity. In addition, shocks of market illiquidity provoke a fall in stock prices of small caps, while large caps are not sensitive to market illiquidity shocks. This differs slightly from results based on U.S. data where illiquidity shocks reduce all stock prices but most notably those of small caps. Robustness tests validate our findings. Our results are consistent with previous studies which reported that the “zero-return” ratio predicts significantly the return-illiquidity relationship on emerging markets.

scholarly journals PENGARUH VARIABEL AKUNTANSI TERHADAPPERUBAHAN HARGA SAHAM PERUSAHAAN YANG GO PUBLIC DI BURSA EFEK JAKARTA

2016 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Setyaningsih Setyaningsih
Keyword(s):  
Stock Prices ◽  
Random Sampling ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Accounting ◽  
Study Analysis ◽  
Price Changes ◽  
Leverage Ratio ◽  
Independent Variables ◽  
The Relationship

The objective of this study is to investigate the relationship between accounting variables and stock price changes in Jakarta Stock Exchange (JSX). Some accounting variables in this study are devidend payout  ratio, assets size, assets growth , leverage ratio, variability in earning and covariability in earning as independent variables, the independent variables are stock  price changes. The study analysis 80 cases of active firms  in  the period of 1994 to 1997.  Data is collected by means of purpo sive random sampling. Regression analysis is used to analyse the data.The  result  of  the study  shows  that  there  is significant  affect  of  the  sevent financial accounting informations in the model as predictor of stock price changes (Y); there are two variables to be dropped because there is multicolinierity among variables. Those variables are leverage ratio (X5) and covariability in earning (X7) . There are five other independent variables affect significantly to stock prices changes (Y), which their contribution is 49%.

scholarly journals Harga Saham Kini: Dalam Bayang-bayang Fundamental

2020 ◽  
Vol 17 (1) ◽  
pp. 71-80
Author(s):  
Sari Gabe Sagala ◽  
Mochamad Muslih
Keyword(s):  
Financial Performance ◽  
Stock Prices ◽  
Stock Price ◽  
Quantitative Methods ◽  
Industrial Revolution ◽  
Stock Exchange ◽  
Secondary Data ◽  
Pharmaceutical Companies ◽  
Funding Policy ◽  
Funding Policies

This study aims to determine the effect of liquidity, funding policies, and financial performance on the stock prices of pharmaceutical companies listed on the Indonesia Stock Exchange (BEI) for the 2009-2018 period. The theory tested in this research is signaling theory. This research uses quantitative methods. The research variables are stock price, company liquidity, funding policy, and financial performance. The data used are secondary data taken from the Indonesia Stock Exchange (IDX). The population in this study is pharmaceutical companies listed on the Indonesia Stock Exchange. The research sample is 7 (seven) pharmaceutical companies listed on the Indonesia Stock Exchange (IDX) for the period 2009-2018. The results showed that company liquidity had no significant effect on stock prices, funding policies had no significant effect on stock prices, and financial performance had no significant effect on stock prices. The results of this study add to the outer layer of knowledge building according to Imre Lakatos. The implication of this research is that the company's fundamental conditions do not necessarily affect stock prices, depending on the type of stock market. It is recommended to investors to be more careful in observing the factors that influence stock prices in the 4.0 industrial revolution era. Next researchers are advised to use other fundamental aspects as their independent variables so that more fundamental elements of the company are examined in relation to stock prices in the 4.0 industrial revolution era.

scholarly journals PENGARUH KINERJA KEUANGAN TERHADAP HARGA SAHAM PERUSAHAAN PERBANKAN BUMN DI BURSA EFEK INDONESIA PERIODE TAHUN 2010-2017

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Defry Wijaya Rimba ◽  
Muthia Harnida
Keyword(s):  
Financial Performance ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Capital Adequacy ◽  
Profit Margin ◽  
Return On Assets ◽  
Capital Adequacy Ratio ◽  
Net Profit ◽  
Price Earnings Ratio

Abstract: The aim of this research is to examine the effect of financial performance on the stock prices of state-owned (BUMN) banking companies in the Indonesian Stock Exchange for the period 2010-2017.The financialperformance consists of Non Performing Loans, Return on Assets, Capital Adequacy Ratio, Price Earning Ratio, and Net Profit Margin. The analysis in this study  used the multiple linier regression with 32 observations. Simultaneously all variables affect the stock price of Banking Companies of BUMN that listed on the  Indonesian Stock Exchange  for the period of 2010-2017. But partially, the variables which affect the stock price are  only Return On Assets, Capital Adequacy Ratio, and Net Profit Margin.  Whereas the variable of  Non Performing Loans and Price Earning Ratio do not affect the stock price of Banking Companies of BUMN  in the Indonesian Stock Exchange for the period of 2010 until 2017 Keywords: Performance, Non Performing Loans, Return On Assets, Capital Adequacy Ratio, Price Earning Ratio, Net Profit Margin, Stock Price Abstrak: Tujuan penelitian ini adalah untuk menguji pengaruh kinerja keuangan terhadap harga saham pada perusahaan perbankan BUMN yang terdaftar di Bursa Efek Indonesia untuk periode 2010-2017. Kinerja keuangan yang diuji meliputi Non performace Loans (NPL), Return on assets (ROA), CapitalAdequacy Ratio (CAR), Price Earnings Ratio(PER),dan Net Profit Margin (NPM). Hasil penelitian dengan menggunakan analisis regresi linier berganda,dengan sampel sebanyak 32 observasi menunjukkkan hasil bahwa secara simultan semua variabel yang terdiri dari Non performace Loans (NPL), Return on assets (ROA), CapitalAdequacy Ratio (CAR), Price Earnings Ratio(PER),dan Net Profit Margin (NPM)  berpengaruh terhadap harga saham . Sedangkan secara parsial variabel yang berpengaruh terhadap harga saham adalah return on assets (ROA), CapitalAdequacy Ratio (CAR), dan Net Profit Margin (NPM), sementara Non Performing Loans (NPL) dan Price Earnings Ratio (PER) secara statistik tidak berpengaruh terhadap harga saham perusahan perbankan BUMN yang terdaftar di Bursa Efek Indonesia untuk periode pengamatan 2010-2017 Kata kunci : Kinerja, Non Performing Loans, Return On Assets, Capital Adequacy Ratio, Price Earning Ratio, Net Profit Margin, harga saham

Sign in / Sign up

Export Citation Format

Share Document