18 results with keyword: 'time series models forecasting performance baltic stock market'
It provides quarterly earnings forecasts based on seven time-series models: four naïve ( simple and seasonal random walk with and without dri ft ) and three premier ARIMA
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Stock exchange, forecasting, the efficient market theory, time series, moving average, random walk, ARMA models, ARIMA
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A hybrid statistical approach for stock market forecasting based on Artificial Neural Network and ARIMA time series models. In
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AREA HOTELS TOURISM RES. 5.7% of the registered secondary residences in France are in the Alpes-Maritimes. 14% of stays and 25% of overnight stays occur in secondary
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Keywords: combining forecasts , ensemble method , artificial neural network , stock market prediction , financial time series forecasting , exchange rate forecasting ,
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stock market forecasting techniques require predictions over a single continuous time
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In an export record, when you select to export fields from one-to-many or certain summary criteria groups, an output criteria screen appears.. On this screen, you can define
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The empirical analysis indicated that the ARIMA (3,1,1) and (1,1,4) models are the best models for forecasting stock market series in Botswana and Nigeria. Mahsin,
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But the nearest matching values are obtained in three indices (38, 39 and 41), where maximum difference has been found at 0.01 as squared difference The linear
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Classification matrix based on linear discriminant analysis of Procrustes coordinates derived from adult male Blueback Herring caught in North Carolina (Chowan and Yeopim rivers)
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Although many models have been proposed recently for forecasting time series data, this paper proposes a novel hybrid model to enhance forecasting accuracy in stock indices
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the sales revenue for the July-September quarter is 80.35% of the average quarter the sales revenue for the October-December quarter is 146.11.% of the average quarter Now to
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The first hybrid model used here comprises three steps: first, it uses the ICA method to determine the independent components (ICs) of the input variables; then it uses the TnA
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March 29 th has been forecasted and the result is shown in the figure below.. The hourly error of this forecasted was calculated and the MAPE is found to be only 3.35%. The
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Keywords: short‑term electricity price forecasting, hybrid models, time series, ARIMA models, support vector regression, transmission congestion, Nord Pool electricity
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All tenants acted to conserve gas and electricity and there was no significant impact on actions as a result of the technical intervention or information intervention. The majority
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Information about apple stock market is collected from this website [7] to predict the chaotic opening, high, low and closing price this stock market with time
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