FORECASTING FOREIGN DIRECT INVESTMENT INFLOWS INTO INDIA USING ARIMA MODEL

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DC Field	Value	Language
dc.contributor.author	Nithya Kala K	-
dc.contributor.author	Aruna	-
dc.contributor.author	Remesh P	-
dc.date.accessioned	2020-07-21T07:42:56Z	-
dc.date.available	2020-07-21T07:42:56Z	-
dc.date.issued	2018-02	-
dc.identifier.issn	2348-6848	-
dc.identifier.uri	https://journals.pen2print.org/index.php/ijr/article/view/12515/11812	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/384	-
dc.description.abstract	The aim of this research is to forecast the inflows of foreign direct investment into India for twelve months. For that purpose ARIMA (Auto Regressive Integrating Moving Average) model is used. This study covers 17 years monthly FDI inflow data of India. Before forecasting the value of FDI inflows it is essential to test the stationarity of the data series. The data set is found to be non-stationary at level and is stationary at first differencing. The study results shows that the total inflow value during July 2017 to July 2018 is 163899.64million US dollars and the average inflow value during these periods is 12607.66million US dollars. The predicted average percentage of increase in the inflows will be 7.69%.	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Research	en_US
dc.subject	FDI	en_US
dc.subject	Augmented Dicky Fuller Test	en_US
dc.subject	ARIMA	en_US
dc.subject	Forecasting	en_US
dc.subject	Time series	en_US
dc.title	FORECASTING FOREIGN DIRECT INVESTMENT INFLOWS INTO INDIA USING ARIMA MODEL	en_US
dc.type	Article	en_US
Appears in Collections:	International Journals

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