New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00224153" target="_blank" >RIV/68407700:21110/14:00224153 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis
Original language description
The existence of correlation between economical situation of a state and its effects on construction production is generally known. Thanks to economical and legal specifications of construction field, it is possible to qualitatively forecast future development based on macroeconomic indicators. Macroeconomic indicator of GDP (gross domestic product) is used towards mentioned goal. This paper strives to quantify general relations between these values: GDP and CPI (construction production index). For thispurpose, calculation will be used of correlation coefficient of time series based on statistical data of every state in the European Union after solving delay hypothesis. These action create an analytical map of EU with levels of GDP ? CPI dependencieswhich are used in prediction algorithm. Prediction algorithm is created in relation to levels of GDP - CPI dependences and data from their times series. Algorithm is tested on creating CPI predictions for year 2012 for EU states. Output v
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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