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Extrapolative Modeling of International Trade using ARIMA Model: A Performance Comparison between India and China during COVID-19


Affiliations
1 Amity Global Business School, Amity University, Noida - 201303, Uttar Pradesh, India
 

A reshaping of the global supply chain is on the cards with companies searching for alternative supply choices, with the current instability in China and with some countries planning to pull their businesses out of China. India has already earned the reputation of being a responsible and trustworthy nation with efficient and participatory governance in these times of crisis. In the light of this scenery, the current study contrasts the success of Indian and Chinese foreign trade with the rest of the world.The merchandise trade and commercial service exports and imports from both countries with the rest of the world were obtained from the official WTO website to compare the output (deviation of actual from projected during COVID-19) of Indian and Chinese foreign trade with the rest of the world. The present research employs models of ARIMA using a three-step model creation process (i.e. model recognition, model estimation and diagnostic check). For the identification of the appropriate model ADF, PP Test, KPSS test and Auto-correlation function and partial auto-correlation function were used, approximate models were developed based on the defined p, d, q order and finally the diagnostic Box- Ljung test was carried out. The results show that China has favorable merchandise trading conditions while India is in a stronger spot in the case of trade in services.

Keywords

ARIMA, Box-Ljung, India-China, International Trade, Merchandise Trade, Service Trade Forecast

JEL CODES: B22, C22, F12, F14, F17, F62

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  • Ahmad, I., Kunroo, M. H. & Sofi, I. A. (2018). An RCA analysis of India-China Trade Integration: Present, Potential and Prospects. Foreign Trade Review, 53(1), 49–58. https:// doi.org/10.1177/0015732516681885.

  • Alon, I. (2020). COVID-19 and International Business: A Viewpoint. FIIB Business Review. https://doi.

  • org/10.1177/2319714520923579.

  • Baldwin, R. & Tomiura, E. (2020). Thinking ahead about the trade impact of COVID-19. Economics in the Time of COVID-19, 59.

  • Bell, D., Roberton, S. & Hunter, P. R. (2004). Animal origins of SARS Corona virus: Possible links with the international trade in small carnivores. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 359(1447), 1107–1114. PMid: 15306396 PMCid: PMC1693393. https://doi.org/10.1098/rstb.2004.1492.

  • Brooks, C. (2002). Introductory Econometrics for Finance. Cambridge University Press.

  • Dhinakaran, D. D. & Kesavan, N. (2020). Exports and imports stagnation in India during COVID-19 - A Review. GIS Business (ISSN: 1430-3663), 15.

  • Khan, M. A. & Ahmad, I. (2017). An analysis of export pattern and competitiveness of India-China in Global and Bilateral Market. FIIB Business Review, 6(2), 9–18. https://doi.org/10.1177/2455265820170202.

  • Mandal, M. & Mandal, S. (2020). COVID-19 pandemic scenario in India compared to China and rest of the world: A data driven and model analysis. medRxiv. https://doi.org/10.1101/2020.04.20.20072744.

  • Pal, P. (2020). The Corona virus crisis and International Trade. COVID-19, 83.

  • Pradhan, J. P. (2017). Emerging multinationals: A comparison of Chinese and Indian outward foreign direct investment. Institutions and Economies, 113–148.

  • Vidya, C. & Prabheesh, K. (2020). Implications of COVID19 pandemic on the global trade networks. Merging Markets Finance and Trade, 56(10), 2408–2421. https://doi.org/10.1080/1540496X.2020.1785426.

  • Zhao, Y., Liu, Y., Qiao, X., Wang, S., Zhang, Z., Zhang, Y., et al. (2018). Tracing value added in gross exports of China: Comparison with the USA, Japan, Korea and India based on generalized LMDI. China Economic Review, 49, 24–44. https://doi.org/10.1016/j.chieco.2017.12.010.


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  • Extrapolative Modeling of International Trade using ARIMA Model: A Performance Comparison between India and China during COVID-19

Abstract Views: 291  |  PDF Views: 108

Authors

Preeti Sharma
Amity Global Business School, Amity University, Noida - 201303, Uttar Pradesh, India

Abstract


A reshaping of the global supply chain is on the cards with companies searching for alternative supply choices, with the current instability in China and with some countries planning to pull their businesses out of China. India has already earned the reputation of being a responsible and trustworthy nation with efficient and participatory governance in these times of crisis. In the light of this scenery, the current study contrasts the success of Indian and Chinese foreign trade with the rest of the world.The merchandise trade and commercial service exports and imports from both countries with the rest of the world were obtained from the official WTO website to compare the output (deviation of actual from projected during COVID-19) of Indian and Chinese foreign trade with the rest of the world. The present research employs models of ARIMA using a three-step model creation process (i.e. model recognition, model estimation and diagnostic check). For the identification of the appropriate model ADF, PP Test, KPSS test and Auto-correlation function and partial auto-correlation function were used, approximate models were developed based on the defined p, d, q order and finally the diagnostic Box- Ljung test was carried out. The results show that China has favorable merchandise trading conditions while India is in a stronger spot in the case of trade in services.

Keywords


ARIMA, Box-Ljung, India-China, International Trade, Merchandise Trade, Service Trade Forecast

JEL CODES: B22, C22, F12, F14, F17, F62


References