Today Forex Rate In India – India’s exchange rate system has evolved from a pegged system to the current managed float. The study examines the long-run equilibrium in the monthly Indian exchange rate (Rs/USD) using the current currency model (or flexible price model) while considering various anomalies during the period January 1993 to What is the year 2014 (pre-expansion) period). The nonlinear correction for imbalance is modeled using the nonlinear error correction model (NLECM). The current account monetarism (CAM) model includes non-linear transformations of long-term exercises in the ECM to account for different imbalances: multiple balances (cubic function), non-linear transformation (rational function), and smooth and steady state exponential transitions. autoregressive smooth transition (ESTAR) function. The NLECM-ESTAR model outperforms other methods based on modeling and forecasting measures, which implies the existence of a non-uniform and smooth transition during different periods of overvaluation and undervaluation of the exchange rate. This implies the presence of asymmetric adjustment for movements from long-term equilibrium, but such changes are smooth and not unexpected. The book also introduces the distinction of long-run equilibrium. A comparison cannot be made with the sticky currency model due to the volatility of the fixed exchange rate.
Corresponding author: Aditi Chaubal, Department of Humanities and Social Sciences, Indian Institute of Technology Bombay (IITB), YP Road, Near VMCC, Powai, Mumbai400076, India, E-mail: aditichaubal@gmail.com
Today Forex Rate In India
The views expressed here do not necessarily reflect the views of the Indian Institute of Technology Bombay. This paper is part of my PhD thesis submitted and defended at the Indira Gandhi Institute of Development Research, Mumbai. Responsibility for any omissions and errors lies solely with the author.
What Are Telegraphic Transfer (tt) Buying/selling Rates?
The author would like to thank the anonymous referee for his valuable comments which led to a substantial improvement of the paper. The author is very grateful to Dr. Enrique Martínez-García for his helpful comments provided when this paper was presented at the Fourth International Workshop on Wireless Business and Technologies 2019 in Paris (31 May – 1 ‘ June 2019).
References Acharya, S. 2001. Macroeconomic Management of India through the centuries. New Delhi: Indian Council of Research in International Business Relations. Search Google Scholar Acharya, S. 2002. India: Crisis, Growth, and Reforms through the Centuries. Stanford, California: Stanford Center for International Development. Working Paper No. 139, July. Available at Google Scholar Aparicio, F., and A. Escribano. 1998. “Explanation-Analysis of Dependence and Serial Coherence.” Studies in Nonlinear Dynamics and Economies 3(3): 119–40, https://doi.org/10.2202/1558-3708.1044. Available at Google Scholar Aparicio, F., A. Escribano, and A. García. 2004. A Range Unit Root Test, Working Paper 04-11 Statistics and Econometrics Series 04. Getafe, Madrid: Universidad Carlos III de Madrid. Available at Google Scholar Aparicio, F., A. Escribano, and A. Siplos. 2006. “Range Unit Root (RUR) Tests: Against Non-Linearities, Error Distributions, Structural Breaks and Outliers.” Journal of Chronology 27: 545-76, https://doi.org/10.1111/j.1467-9892.2006.00474.x. Available at Google Scholar Baillie, R., and T. Bollerslev. 1989. “Common Stochastic Trends in the Exchange Rate System.” Journal of Finance 44(1): 167-81, https://doi.org/10.1111/j.1540-6261.1989.tb02410.x. Available at Google Scholar Bhanja, N., A. Dar, and A. Samantaraya. 2013. “The Purchasing Power Parity Study: An Analysis Based on Covariance and Wavelet Regression.” IOSR Journal of Humanities and Social Science 7(4): 19-27, https://doi.org/10.9790/0837-0741927. Available at Google Scholar Chaouachi, S., G. Dufrénot, and V. Mignon. 2004. “Modelling the Real Dollar-Sterling Exchange Rate: An Interdisciplinary Perspective.” Economic Bulletin 3 (19): 1–11. http://www.accessecon.com/pubs/EB/2004/Volume3/EB-04C20019A.pdf. Available at Google Scholar Chappell, D., J. Padmore, P. Mistry, and C. Ellis. 1996. “A Level Model for the French/Deutschmark Scale.” Journal of Prognosis 15(3): 155-64. 10.1002/(SICI)1099-131X(199604)15:33.0.CO;2-Z View at Google Scholar Chinn, M., and R. Meese. 1995. “Investing on Financial Forecasting: How Predictable is Change in Finance?” Journal of International Economics 38: 53-69, https://doi.org/10.1016/0022-1996(94)01334-o. Available at Google Scholar Clarida, R., and M. Taylor. 1997. “The Theory of Futures Exchange Rates and the Forecasting of Spot Exchange Rates: A Correction of Errors.” Review of Economics and Statistics 79(3): 353-61, https://doi.org/10.1162/003465397556827. Available at Google Scholar Cuthbertson, K., and M. Taylor. 1987. Macroeconomic Systems. Oxford, UK: Basil Blackwell Ltd. Available at Google Scholar Darbha, G. and U. Patel. 2004. Wireless Adjustment in Real Exchange Rates and Long-Term Evidence-Integrated Energy-Energy Procurement Policy. Pennsylvania, United States of America: University of Pennsylvania. Working Document, Available at: https://bit.ly/3dI9bQ6. Available at Google Scholar Dua, P., and R. Ranjan. 2010. Exchange Rate Adjustment and Policy in India, Development Research Group (DRG) Research No. 33. Mumbai: Department of Economic Analysis and Policy, Reserve Bank of India. Available at Google Scholar Dufrénot, G., and V. Mignon. 2002. Recent Developments in Inequality Integration with Applications to Macroeconomics and Finance. Dordrecht, The Netherlands: Kluwer Academic Press. 10.1007/978-1-4757-3615-1 Available at Google Scholar Engel, C., N. Mark, and K. West. 2007. “Exchange rate models aren’t as bad as you think.” In NBER Macroeconomics Annual, Vol. 22, edited by D.Acemoglu, K.Rogoff, and M.Woodford, 381–441. Cambridge, MA: MIT Press. 10.3386/w13318 Available at Google Scholar Engle, R. 1984. “Wald, Likelihood Ratio, and Lagrange Multiplier Tests in Econometrics.” In Handbook of Econometrics, Vol. 2, edited by Z. Griliches, and M. Intrligator, 775-826. Amsterdam: Elsevier. 10.1016/S1573-4412(84)02005-5 Available at Google Scholar Frankel, J.A. 1983. “Financial and Portfolio Models for Exchange Rate Decision Making.” In Financial Confidence and Flexible Exchange Rates, edited by J.Bhandari, and B.Putnam. Cambridge, MA: MIT Press. 10.1016/B978-0-12-444281-8.50038-6 Available at Google Scholar Frankel, J. A. 1986. “International Capital Mobility and Crowding Out in the US Economy: Inadequate Integration of Financial Markets or Good Markets?.” In How Open is the US Economy?, edited by R. W. Hafer Lexington: Lexington Books. 10.3386/w1773 Available at Google Scholar Goyal, A., and S. Arora. 2012. “India’s Exchange Rate and Central Bank Performance: An EGARCH Analysis.” Journal of Asian Economics 23(1): 60-72, https://doi.org/10.1016/j.asieco.2011.09.001. Available at Google Scholar Gujarati, D., and D. C. Porter. 2008. Fundamentals of Econometrics, 5th ed. New York: McGraw-Hill/Irwrin. Available at Google Scholar International Monetary Fund. 2016. Annual Report on Change Programs and Change Restrictions. Washington: International Monetary Fund. Search Google Scholar Johnson, H. G. 1977. “A Monetary Approach to System Equilibrium and Payment Regulation: Information and Policy Implications.” Economica 44: 217-29, https://doi.org/10.2307/2553647. Available at Google Scholar Kar, R., and N. Sarkar. 2006. “Meaning and Dynamics of the Indian Rupee/US Dollar Exchange Rate: An Empirical Study.” Asia-Pacific Trade Markets 13(1): 41-69, https://doi.org/10.1007/s10690-007-9034-0. Search at Google Scholar Keenan, D.M. 1985. “A Tukey Nonadditivity-Type Test for Time Nonadditivity.” Biometrics 72 (1): 39-44, https://doi.org/10.1093/biomet/72.1.39. Search Google Scholar Kilian, L. 1999. “Exchange Rates and Financial Fundamentals: What Can We Learn from Long-Horizon Regressions?.” Journal of Applied Economics 14: 491-510. 10.1002/(SICI)1099-1255(199909/10)14:53.0.CO;2-D View at Google Scholar Kletzer, K., and R. Kohli. 2000. Exchange Rate Changes With Monetary Tightening: A Test of Exchange Rate Models for India. New Delhi: Indian Council for Research and International Business Relations. Working Paper No. 52, Available at: https://icrier.org/pdf/kenrenu.pdf. Search Google Scholar Kohli, R. 2003. “Real Exchange Rate Fixing and Floating Control: Exchange Rate Policy in India, 1993–2001.” Journal of Asian Economics 14(3): 369-87, https://doi.org/10.1016/s1049-0078(03)00033-2. Available at Google Scholar Kwiatkowski, D., P. Phillips, P. Schmidt, and Y. Shin. 1992. “Permanent Null Test Versus Unit Root Selection: How Sure Is a Trading Clock to Have a Unit Root?” Journal of Econometrics 54: 159-78, https://doi.org/10.1016/0304-4076(92)90104-y. Available at Google Scholar MacDonald, R. 1988. Floating Exchange Rates: Concepts and Evidence. London: Unwin Hyman Ltd. 10.4324/9780203427484 Available at Google Scholar MacDonald, R., and I. Marsh. 1999. Exchange Rate Model. Dordrecht, The Netherlands: Kluwer Academic Publishers. 10.1007/978-1-4757-2997-9 Available at Google Scholar MacDonald, R., and M. Taylor. 1992. “The Rate of Trade: A Survey.” Journal – International Monetary Fund 39(1): 1-57, https://doi.org/10.2307/3867200. Available at Google Scholar MacDonald, R., and M. Taylor. 1993. “The Money Approach to the Exchange Rate: Rational Expectations, Long-Run Estimation, and Forecasting.” International Monetary Fund Staff Paper 40: 89-107, https://doi.org/10.2307/3867378. Search at Google Scholar Mark, N.C. 1995. “Exchange Rates and Fundamentals: Evidence on Long-Horizon Forecasting.” American Economic Review 85: 201-18. https://www.jstor.org/stable/pdf/2118004.pdf?ab_segments=0%252Fbasic_SYC-5187%252Ftest&refreqid=excelsior%3Abf1ab5c58028b7ac8757feb41455a8, Available at Google Scholar N. C. 2001. Macroeconomics and International Finance: Econometric Theory and Methods. Oxford, UK: Blackwell Publishers. Available at Google Scholar Meese, R., and K. Rogoff. 1983. “The Empirical Rate of Change Models of the Seventies: Have They Failed in Analysis?” Journal of International Economics 14: 3-24, https://doi.org/10.1016/0022-1996(83)90017-x. Available at Google Scholar Michael, P., A.R. Nobay, and D. A. Peel. 1997. “Trade Costs and Inverse Adjustment in Real Exchange Rates: An Empirical Study.” Journal of Political Economy 105: 862-79, https://doi.org/10.1086/262096. Available at Google Scholar Nachane, D. 2006. Economics: Theoretical Foundations and Empirical Perspective. New Delhi, India: Oxford University Press. Available at Google Scholar Nachane, D., and D. Ray. 1993. “The Rate-of-Change Adjustment Model: New Perspectives From the Frequency Domain.” Journal of Prognosis 12(5):379-94, https://doi.org/10.1002/for.3980120502. Available at Google Scholar OECD. 2014. Monthly Money and Money Statistics (MEI). Paris, France: OECD. Mathematics. https://stats.oecd.org/# (Accessed July 4, 2019). Available at Google Scholar Pattanaik, S., and S. Sahoo. 2001. “Intervention Effectiveness in India: A Preliminary Assessment.” Reserve Bank of India Occasional Papers 22(1–3): 21–52. https://rbidocs.rbi.org.in/rdocs/Publications/PDFs/36767.pdf#page=27. Search in Google
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