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  • Search: subject:"predicting stock prices"
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Year of publication
Subject
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ARIMA 1 ARMA model 1 ARMA-Modell 1 Aktienindex 1 Börsenkurs 1 EMH 1 Efficient market hypothesis 1 Effizienzmarkthypothese 1 Emerging economies 1 Forecasting model 1 Prognoseverfahren 1 RWH 1 Random Walk 1 Random walk 1 SVR 1 Schwellenländer 1 Share price 1 Stock index 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1 accuracy of proximity variable method compared with autoregressive and benchmark forecasts 1 auto-regressive integrated moving average 1 efficient market hypothesis 1 emerging economies 1 predictability of stock prices 1 predicting stock prices 1 proximity variable method for predicting stock prices 1 random walk hypothesis 1 support vector regression 1 time series analysis 1 time varying parameters 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Archana Singh 1 Beniwal, Mohit 1 Jones, Clive 1 Kumar, Nand 1
Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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International journal of applied management science : IJAMS 1 MPRA Paper 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
A comparative study of static and iterative models of ARIMA and SVR to predict stock indices prices in developed and emerging economies
Beniwal, Mohit; Archana Singh; Kumar, Nand - In: International journal of applied management science : IJAMS 15 (2023) 4, pp. 352-371
Persistent link: https://www.econbiz.de/10014391724
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Cover Image
Predictability of the daily high and low of the S&P 500 index
Jones, Clive - Volkswirtschaftliche Fakultät, … - 2015
Ratios involving the current period opening price and the high or low price of the previous period are significant predictors of the current period high or low price for many stocks and stock indexes. This is illustrated with daily trading data from the S&P 500 index. Regressions specifying...
Persistent link: https://www.econbiz.de/10011196424
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