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What is Autoregressive Moving Average Process Model

Regional Trade and Development Strategies in the Era of Globalization
A model of a differenced time series (one that has been rendered stationary by the elimination of “drift”) whose output needs to be anti-differenced to forecast the original series. ARIMA models can represent a wide range of time-series data and are used generally in computing the probability of a future value lying between any two limits.
Published in Chapter:
India-BIMSTEC Bilateral Trade Activities: A Gravity Model Approach
Gurpreet Kaur (Lovely Professional University, India) and Akriti Gupta (Lovely Professional University, India)
DOI: 10.4018/978-1-7998-1730-7.ch007
Abstract
The Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) is one of the solutions to converge the economic interests of India's Look East Policy and Thailand's Look West Policy. Its objective is to integrate the regions on both sides of the Bay of Bengal. The development of BIMSTEC countries is indispensable for the forward march of Asia as a whole. This chapter analyzes the India-BIMSTEC trade activities after the establishment of BIMSTEC bloc. Gravity model and Auto-Regressive Integrated Moving Average (ARIMA) are used. The model estimates the sets of regression equations to measure the effects of regional trade agreements using ordinary least squares with nation dummies to capture country-specific fixed effects. The study reveals that all coefficients of regional dummy variables are mostly positive and significant, indicating the agreements that tend to enhance more trade than bilateral trade agreements. The authors state that based on India's trade with the BIMSTEC region, there exists a scope for intraregional trade in the future.
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