Article written by Mehmood H Syed, about AAPL stock, where a future change in trend was forecasted before, it occured. Mr. Syed, has an excellent record in forecasting in Stock Market Trends. He pu...
Relation of stock price with planetsFull description
The relationship between exchage rate and stock price in financial industry
The impact of trading volume on stock priceFull description
Stock market prediction is considered as one of the classic problems of time series prediction due to high volatility of the financial market. Stock prices tend to be dependent on various fa…Full description
hi..i m dilip kumar gorai. i m an MBA. i have uploaded this project find the other material of this project (excel calculation)...all the best!!
Relationship between stock price and trading volume
Astrology
Customer churn is one of the most important metrics for a growing business to evaluate. It is a business term used to describe the loss of clients or customers. In the retail sales and marketing company, customers have multiple choices of services an
One of the commonly occurring diseases across the world is heart disease. About 60 percent of the total population gets affected by the heart disease. Among the several kinds of heart disease, coronary heart disease is dealt in this paper. The health
Art of Stock Investing Indian Stock MarketFull description
Regression is one of the most powerful statistical methods used in business and marketing researches. This paper shows the important instance of regression methodology called Multiple Linear Regression MLR and proposes a framework of the forecasting
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This is an astrological research work to define a model to predict severe cold winters in advance.
astrology
Analizis Oil Film Thickness
Mechanical Failure
Global Journal of Science Frontier Research Mathematics and Decision Sciences Volume 13 Issue 8 Version 1.0 Year 2013 Type : Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4626 & Print ISSN: 0975-5896
Prediction of Stock Price using Autoregressive Integrated Moving Average Filter ((Arima (P,D,Q)) By Olayiwola Olaniyi Mathew, Apantaku Fadeke Sola, Bisira Hammed Oladiran & Adewara Adedayo Amos Federal University of Agriculture, Nigeria
Abstract - The financial system of any economy is seen to be divided between the financial intermediaries (banks, insurance companies and pension funds) and the markets (bond and stock markets). This study was designed to look at the behavior of stock price of Nigerian Breweries Plc with passage of time and to fit Autoregressive Integrated Moving Average Filter for the prediction of stock price of the Nigerian Breweries Plc. The data were collected from Nigerian Stock exchange and Central Securities Clearing System (CSCS). Time plot was used to detect the presence of time series components in the daily stock prices of Nigerian breweries from 2008 to 2012 and to check if the series is stationary. The structure of dependency was measured by using autoovariance, the auto-correlation and partial autocorrelation. An autoregressive model and moving average model were fitted to stationary series to predict the future stock prices. Alkaike Information Criteria Criteria (AIC) was used to determine the order order of the fitted autoregressive model. model. Keywords : stationary : stationary series, autocorrelation, partial autocorrelation, AIC, arima. GJSFR-F Classification : MSC 2010: 00A05
PredictionofStockPriceusingAutoregressiveIntegratedMovingAverageFilterArimaP,D,Q Strictly as per the compliance and regulations of :
