scholarly journals Identifying Feature Stock Price by Considering Most Influential Parameters using Prediction Methods in Indian Stock Exchange

2019 ◽  
Vol 8 (4) ◽  
pp. 1-4
Keyword(s):  
Big Data ◽  
Stock Market ◽  
Stock Price ◽  
Data Analytics ◽  
Stock Exchange ◽  
Market Price ◽  
Big Data Analytics ◽  
Share Price ◽  
Book Value ◽  
Share Prices

Before the evaluation of big data analytics predicting the optimal share price in the stock market is very difficult, by applying the big data analytics it is easy to predict frequent patterns and feature outcomes in any domain. So in this paper we consider the financial domain to predict feature outcomes of share prices in the Indian stock exchange. We first gathered the dataset with duration 2011-2016 financial years of TCS Company, the reason to choose TCS dataset it is a trust based company and datasets are available at open access with all parameters. Market price per share is strongly effect by company’s variable like price earnings, dividend yield, dividend per share, earnings per share, book value per share, and return on equity, after observing the results we conclude that the variables price earnings, book value per share and firm size are important determinants of share prices in the Indian stock market. The regression model achieved a high R2 (0.94) for the closed price and book value per share variable and also the model achieved a high R2 (0.98) for the closed price and price earnings.

scholarly journals Fundamentals of Stock Price in Nepalese commercial banks

2019 ◽  
Vol 4 ◽  
pp. 83-98
Author(s):  
Prem Prasad Silwal ◽  
Samrina Napit
Keyword(s):  
Commercial Banks ◽  
Stock Price ◽  
Stock Exchange ◽  
Market Price ◽  
Negative Relationship ◽  
Influential Factor ◽  
Share Price ◽  
Cross Sectional ◽  
Book Value ◽  
Price Earnings Ratio

The aim of this study is to ascertain the determinants of the stock market price in Nepalese commercial banks for the period of 2065/66 to 2074/75. It is based on pooled cross-sectional data of ten banks for 10 years whose stocks are listed in Nepal stock exchange. The study employed correlational and causal comparative research design and result reveals that book value per share, price earnings ratio, return on equity have positive relationship with stock price. Dividend yield has positive but minimum influence on the price of the stock whereas size has negative relationship and is statistically insignificant with stock price. Further, it reveals that book value per share is a most influential factor that determines stock price in Nepal.

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 Survey on Factors Determining the Share Price Movement in Indian Stock Market - A Big Data Approach

2019 ◽  
pp. 63-69
Author(s):  
Nitha K. P. ◽  
S. Sivakumari
Keyword(s):  
Big Data ◽  
Stock Market ◽  
Information Technologies ◽  
Big Data Analytics ◽  
Heterogeneous Data ◽  
Share Price ◽  
Price Movement ◽  
Share Prices ◽  
Architecture And Design ◽  
Indian Stock Market

The aim of investors of any stock is to earn reasonable returns. This paper presents a framework on share price movement and investigates the factors determining and predicting the share prices in Indian stock market through big data approach. This study is also trying to focus on the fundamental factors, technical factors and sentimental factors that stimulate the share price movement. The methodology used mainly focuses on the implications of the theory of financial markets and features affecting the share price movement. Stock market is one of the burning areas where data is growing day by day. Big data Analytics is a very promising area and buzzword for the next generation information technologies. Because of the heterogeneity and other complexities of data, big data architecture and design, is needed which specifically deals with the stock market data and analyze the heterogeneous data for the future prediction of the market. Variety and large Volume of factors exists. Moreover, the velocity with which data generates and the effect of them in the share price movement emphasizes, role of big data in predicting the share prices in Indian Stock Market.

scholarly journals Influencing Factors of Stock Price in Nepal

NCC Journal ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 113-120
Author(s):  
Krishna Bahadur Thapa
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Influencing Factors ◽  
Stock Price ◽  
Stock Exchange ◽  
Positive Association ◽  
Share Price ◽  
Financial Statement ◽  
Inverse Association ◽  
Significant Positive Association

This paper explores the influencing factors of stock price in Nepal (with reference to Nepalese commercial banks) listed on the Nepal Stock Exchange Ltd. over the period of 2008 to 2018AD. The information were collected from questionnaire and financial statement of concerned organizations and analyzed using simple linear regression model. The conclusions of the work revealed that earning per share (EPS), dividend per share (DPS), effective rules and regulations, market whims and rumors, company profiles and success depend upon luck have the significant positive association with share price while interest rate (IR) and price to earnings ratio (PER), showed the significant inverse association with share price. Further, accessibility of liquidity, fundamental and technical analysis stimulates the performance of the Nepalese stock market. More importantly, stock market has been found to respond significantly to changes in dividend and interest rate.

Bombay Stock Exchange of India

2017 ◽  
pp. 181-212
Author(s):  
Sachin Kamley ◽  
Shailesh Jaloree ◽  
R. S. Thakur
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Efficient Market Hypothesis ◽  
Share Price ◽  
Share Prices ◽  
Election Results ◽  
Combination Of Methods ◽  
Prediction Techniques ◽  
A Company ◽  
Financial Issues

Stock market nature is considered to be dynamic and susceptible to quick changes because it depends on various factors like share price, fundamental variables like P/E ratio, dividend yield etc. election results, rumors etc. Now a day's prediction is an important process which determines the future worth of a company. The successful prediction brings motivation and awareness in stock community as well as economic growth of the country. In past various theories and methods like Efficient Market Hypothesis (EMH), Random Walk Theory, fundamental and technical analyses have been proposed. These methods or combination of methods have not got as much success even yet because these methods are very complex and time consuming and performed well on short data. These days stock market users mostly rely on intelligent trading system which would be help them to predict share prices based on various situations and conditions. Data mining is a broad area and also supports various business intelligence techniques. It has mastery to raise various financial issues like buying/selling security, bond analysis, contract analyses etc. in this study various prediction techniques like linear regression, multiple regression, association rule mining, clustering, neural network have been proposed and their significant performances will be compared by Bombay Stock Exchange (BSE) data.

Effect of Dividend Policy on Stock Price Volatility in Nigeria Stock Exchange

2019 ◽  
Vol 9 (2) ◽  
pp. 219
Author(s):  
Felix Ebun Araoye ◽  
Akinola Michael Aruwaji ◽  
Emmanuel OlusuyiAjayi
Keyword(s):  
Stock Price ◽  
Dividend Policy ◽  
Positive Impact ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Price Volatility ◽  
Share Price ◽  
Dividend Payout ◽  
Share Prices ◽  
Duration Effect

This paper seeks to determine the effect of dividend policy and dividend payment on share price volatility in Nigeria. Several literatures have showed evidence that dividend policy vary inversely proportional with share price volatility with duration effect. The study used data from the actively trading companies listed in the Nigeria Securities Exchange for a period of ten (10) years from 2005–2014. The estimation is based on panel data analysis between dividend policy measures (dividend payout, dividend per share, earnings after tax, dividend declared and number of share) and Share price volatility. The findings from the random effects regression results showed dividend per share is the major determinants of share price volatility in NSE (β = 0.6870, ρ<0.05). Dividend payout ratio negatively affect share price volatility (β =0.612, ρ>0.05) and earnings after tax negatively affect share price volatility (β =0.038, ρ>0.05).Thus, the higher the payout ratio the less the share price volatility, and the higher the earnings after tax lower the share price volatility. In conclusion, dividend per share has positive effect and inclusive relationship with market share prices. It is recommended that firms should try and improve on their financial performance that will enable consistent increase in the dividend per share for positive impact on market value.

scholarly journals PENGARUH EARNING PER SHARE, PRICE TO BOOK VALUE, RETURN ON ASSET, DAN RETURN ON EQUITY TERHADAP HARGA SAHAM SEKTOR KEUANGAN

2017 ◽  
Vol 13 (2) ◽  
pp. 191
Author(s):  
Yustina Wahyu Cahyaningrum ◽  
Tiara Widya Antikasari
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Research Result ◽  
Secondary Data ◽  
Share Price ◽  
Asset Return ◽  
Return On Equity ◽  
Book Value ◽  
Purposive Sampling ◽  
Finance Company

Abstrak: Pengaruh Earning Per Share, Price to Book Value, Return on Asset, dan Return on Equity Terhadap Harga Saham Sektor Keuangan. Penelitian ini mempunyai tujuan untuk mengetahui pengaruh Earning Per Share (EPS), Price to Book Value (PBV), Return on Asset (ROA), Return on Equity (ROE) secara simultan maupun parsial terhadap harga saham pada perusahaan sektor keuangan yang terdaftar di Bursa Efek Indonesia tahun 2010-2014. Penelitian ini menggunakan data sekunder berupa laporan keuangan tahunan yang diperoleh dari ICMD dan sumber pendukung yang lain. Teknik pengambilan sampel diambil dengan metode purposive sampling sebanyak 237 perusahaan sektor keuangan dari 255 perusahaan yang terdaftar di ICMD. Data dianalisis dengan analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa variabel EPS, PBV, ROA, dan ROE tahun 2010-2014 secara simultan dan parsial mempunyai pengaruh positif terhadap variabel harga saham. Kata Kunci: Earning Per Share, Price to Book Value, Return on Asset, Return on Equity, Harga Saham Abstract: The Influence of Earning Per Share, Price to Book Value, Return on Asset, and Return on Equity to Stock Price in Finance Company. The research purpose is to examine the influence of EPS, PBV, ROA and ROE to stock price simultaneously or partially in finance sector companies listed on Indonesia Stock Exchange (BEI) in 2010-2014. The research using secondary data based on the annual report taken from Indonesia Capital Market Directory and Indonesia Stock Exchange and other support sources. This study uses purposive sampling and 237 of 255 finance sector companies listed in ICMD used as the sample. This research uses multiple regression analysis. The research result shows that EPS, PBV, ROA, and ROE in 2010-2014 simultaneous and partially positive significantly affected by the stock price. Keyword: Earning Per Share, Price to Book Value, Return on Asset, Return on Equity, Stock Price.

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