Forecasting Foreign Direct Investment Inflow to Sri Lanka: Hybrid ARIMA-Neural Network model

Show simple item record Perera, S.S.N. Karunathunge, G.N. Chathurdarshi, G.T.B.G. 2021-10-22T03:22:20Z 2021-10-22T03:22:20Z 2011
dc.identifier.issn 22359877
dc.description.abstract Note: See the PDF Version FDI is known as that "Investment made by multinational business enterprises in foreign countries to control assets and manage production activities in those countries" (Bashier and Talal, 2007). Foreign direct investment consists of three major components. Those are equity capital, reinvestment earnings and other capital used in various intra company debt transactions. In 1977, the Sri Lankan government made changes in its economic policies to establish an investment friendly economic environment. Sri Lanka reached its highest FDI inflow of US dollars 752.2 million in 2008. The objective of the research is to build a model to forecast future FDI inflow to Sri Lanka. Research has been carried out using different methods such as the univariate ARIMA model (Bashier and Talal, 2007), the double exponential smoothing model (Kumar et al., 2009) and the neural network model (Pradhan, 2010) to forecast FDI inflow to other countries. To the best knowledge of the authors, this study could be the first to forecast FDI inflows in Sri Lanka using a combination of an ARIMA model and a neural network model. In this study, an ARIMA model is fitted through the Box-Jenkins procedure and then the back propagation neural network procedure is applied to remove the lack of accuracy due to the small sample size. The data set employed consists of annual foreign direct investment inflow to Sri Lanka from 1978 to 2010. en_US
dc.language.iso en en_US
dc.publisher Uva Wellassa University of Srilanka en_US
dc.subject Marketing en_US
dc.subject Economics en_US
dc.subject Management en_US
dc.subject Business Studies en_US
dc.title Forecasting Foreign Direct Investment Inflow to Sri Lanka: Hybrid ARIMA-Neural Network model en_US
dc.type Other en_US

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