New AIJER now accepts submissions exclusively via the Editorial Scholar portal — a dedicated submission & review system.
Go to Editorial Scholar →
Associated Management Consultants Pvt. Ltd. | COPE Member
UGC-CARE Group I Google Scholar |
Arthshastra Indian Journal of Economics & Research logo

Arthshastra Indian Journal of Economics & Research

ISSN: 2278-1811 Frequency: Quarterly Peer Review: Double-blind Published since: 2012 Language: English
A publication of AMCPL
amcon.co.in
New Delhi, India
Indexed in: UGC-CARE Group I Google Scholar J-Gate

How South Asian Economies Managed Their Trade Risks Collaboratively ? A Study

Open Access Original Article

How South Asian Economies Managed Their Trade Risks Collaboratively ? A Study

Rohit Malhotra1

1 Associate Professor, JK Business School, JK Chawk, Gurugram - 122 102, Haryana.

Volume 11
Issue 4
Pages 26–44
Year 2022
Received: April 25, 2022 Accepted: Nov. 1, 2022 Published: Dec. 1, 2022
Abstract

South Asian economies, including India, witnessed a considerable GDP decline in the past few years. According to reliable published resources for the fiscal year Q4-2020, India’s GDP growth was as low as 3.1% on average over the previous 11 years. This empirical work was built upon the fundamental volatility model (using a 2-asset portfolio case). It comprised the exponential decay function on annual figures from 1976–2019 of overall trade, exports, and imports from five South Asian countries, namely Bangladesh, India, Nepal, Pakistan, and Sri Lanka (Bhutan was excluded due to paucity of data). For empirical justification of spillover effects and shock persistence, two exogenous macroeconomic factors, namely, the inflation percentage (CPI) and population rates, were also taken into account. The broad outcomes were mainly two. Firstly, there was a greater positive impact on time-varying trade-volatility shock persistence levels due to time-varying exogenous factors like inflation and population volatility. The second outcome is that portfolio or joint probabilities “reduce†such an impact, that is, time-varying portfolio volatility of the inflation rate and population rate did not reduce the shock persistence of time-varying trade volatility across the nations studied.

Keywords Shock Persistence Time-Varying Exogenous Factor Time-Varying Inflation Volatility Time-Varying Population Volatility
How to Cite

Rohit Malhotra (2022). How South Asian Economies Managed Their Trade Risks Collaboratively ? A Study. Arthshastra Indian Journal of Economics & Research, 11(4), 26–44. https://doi.org/10.17010/aijer/2022/v11i4/172741

References
  1. Aizenman, J., Jinjarak, Y., Estrada, G., & Tian, S. (2017). Flexibility of adjustment to shocks: Economic growth and volatility of middle-income countries before and after the global financial crisis of 2008 (Working Paper No. 23467). National Bureau of Economic Research. https://doi.org/10.3386/w23467
  2. Bagella, M., Becchetti, L., & Hasan, I. (2004). The anticipated and concurring effects of the EMU: Exchange rate volatility, institutions and growth. Journal of International Money and Finance, 23(7–8), 1053–1080. https://doi.org/10.1016/j.jimonfin.2004.08.007
  3. Becchetti, L., & Hasan, I. (2008). The effects of regional integration: Impact on real effective exchange rate volatility, institutional quality and growth for MENA countries. In, B. Guha-Khasnobis, & G. Mavrotas (eds.), Financial development, institutions, growth and poverty reduction. Studies in development economics and policy. Palgrave Macmillan. https://doi.org/10.1057/9780230594029_12
  4. Boserup, E., & Ruttan, V. W. (1981). Population and technological change: A study of long-term trends. Population and Development Review, 8(1), 181. https://doi.org/10.2307/1972698
  5. Brainard, W. C., & Cooper, R. N. (1968). Uncertainty and diversification in international trade. Food Research Institute Studies, 8(3), 257–285. https://doi.org/10.22004/ag.econ.134983
  6. Chow, Y. P., Muhammad, J., Bany-Ariffin, A. N., & Cheng, F. F. (2018). Macroeconomic uncertainty, corporate governance and corporate capital structure. International Journal of Managerial Finance, 14(3), 301–321. https://doi.org/10.1108/ijmf-08-2017-0156
  7. Kepaptsoglou, K., Karlaftis, M. G., & Tsamboulas, D. (2010). The gravity model specification for modeling international trade flows and free trade agreement effects: A 10-year review of empirical studies. The Open Economics Journal, 3, 1–13. https://doi.org/10.2174/1874919401003010001
  8. Kose, M. A., & Riezman, R. (2001). Trade shocks and macroeconomic fluctuations in Africa. Journal of Development Economics, 65(1), 55–80. https://doi.org/10.1016/s0304-3878(01)00127-4
  9. Kothadia, K. D., & Nayak, D. N. (2020). Modeling inflation in India: A univariate approach. Arthashastra Indian Journal of Economics & Research, 9(2–3), 25–38. https://doi.org/10.17010/aijer/2020/v9i2-3/155602
  10. Malhotra, R. (2022). Empirical illustration of cyclical behaviours of fertility and inflation rates in context to Asian economies. SSRN Electronic Journal. https://ssrn.com/abstract=4193621
  11. Myint, H. (1958). The “classical theory” of international trade and the underdeveloped countries. The Economic Journal, 68(270), 317–337. https://doi.org/10.2307/2227598
  12. Nayak, D., & Barodawala, R. (2021). The impact of macroeconomic factors on the Indian stock market: An assessment. Arthashastra Indian Journal of Economics & Research, 10(2–3), 27–40. https://doi.org/10.17010/aijer/2021/v10i2-3/167172
  13. Nguyen, T. N., Pham, T. H., & Vallée, T. (2020). Trade volatility in the association of Southeast Asian nations plus three: Impacts and determinants. Asian Development Review, 37(2), 167–200. https://doi.org/10.1162/adev_a_00153
  14. Osei-Assibey, K., & Dikgang, O. (2020) International trade and economic growth: The nexus, the evidence, and the policy implications for South Africa. The International Trade Journal, 34(6), 572–598. https://doi.org/10.1080/08853908.2020.1737598
  15. Reboredo, J. C. (2012). Modeling oil price and exchange rate co-movements. Journal of Policy Modeling, 34(3), 419–440. https://doi.org/10.1016/j.jpolmod.2011.10.005
  16. Sayan, S. (2005). Heckscher – Ohlin revisited: Implications of differential population dynamics for trade within an overlapping generations framework. Journal of Economic Dynamics and Control, 29(9), 1471–1493. https://doi.org/10.1016/j.jedc.2004.08.008
  17. Shachmurove, Y., & Spiegel, U. (2004). Size matters in international trade and population size. Available at SSRN. http://dx.doi.org/10.2139u
  18. Stockman, A. C. (1985). Effects of inflation on the pattern of international trade. The Canadian Journal of Economics, 18(3), 587–601. https://doi.org/10.2307/135021
  19. Sunil, N., Purswani, G., & Benny, N. R. (2019). Interrelationship and interdependence among macroeconomic variables in India. Arthashastra Indian Journal of Economics & Research, 8(1), 50–60. https://doi.org/10.17010/aijer/2019/v8i1/142714
Editorial Scholar

Submit your Research to AIJER

Submit your Manuscript → Author Guidelines