International Transmission of Monetary Policy: The Usa to India

Patnaik, Anuradha

doi:10.18052/www.scipress.com/ILSHS.54.53

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International Transmission of Monetary Policy: The Usa to India

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Abstract:

The present study attempts measure the transmission of monetary impulse from the USA to India by trying to quantify the extent of volatility spillover from the US monetary policy to the exchange rate and interest rate of India. By applying a t-DCC MGARCH model to daily data on Fed Funds Rate, Rupee Dollar Exchange Rate and the Call Money rate of India it was found that there is considerable volatility spillover from the Fed Rate to the exchange rate. Spillover is also clearly evident in case of the call rate. The extent of spillover is higher for the foreign exchange rate than the call money rate. However, it was also noticed that the spillover is asymmetric in either of the cases and is higher during phases of high volatility. In an era of flexible exchange rates excessive dependence of the Indian Economy on short term capital flows to finance the current account deficits which raises the dollar demand and exposes the Indian economy to the Monetary Policy of the US, needs to be reduced. Reforms in the nature of capital flows is also the need of the hour.

Info:

Periodical:

International Letters of Social and Humanistic Sciences (Volume 54)

Pages:

53-62

DOI:

https://doi.org/10.18052/www.scipress.com/ILSHS.54.53

Citation:

A. Patnaik, "International Transmission of Monetary Policy: The Usa to India", International Letters of Social and Humanistic Sciences, Vol. 54, pp. 53-62, 2015

Online since:

June 2015

Authors:

Anuradha Patnaik

Keywords:

Dynamic Conditional Correlations, Exchange Rates, Multivariate GARCH Models, Volatility Spillover

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Open Access

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Creative Commons Attribution 4.0 International License

References:

Alexander, C.O. (2000), "Orthogonal methods for generating large positive semidefinite covariance matrices. Discussion Papers in Finance 2000-06, ISMA Centre.

Bautista, C. (2003), Stock market volatility in the Philippines, Applied Economics Letters, 10 (5), 315-318.

Badrinath, H.R., Apte, P.G., (2005), "Volatility Spillovers Across Stock, Call Money And Foreign Exchange Markets, Unpublished, 1-26.

Berkowitz (2001), Testing Density Forecasts With Applications to Risk Management, Journal of Business and Economic Statistics, 21 79-109.

Bollerslev, T., R.F. Engle and J.M. Wooldridge (1988), A Capital Asset Pricing Model with Time-Varying Covariances, Journal of Political Economy, 96, 116-131.

Billio, M., Caporin, M., Gobbo, M(2006), Flexible dynamic conditional correlation multivariate GARCH models for asset allocation. Applied Financial Economics Letters 2, 123-130.

Billio, M., M. Caporin and M. Gobbo (2003), Block Dynamic Conditional Correlation Multivariate GARCH Models, Working Paper 03. 03, Gruppi di Ricerca Economica Teorica e Applicata, Venice.

Dijk, D., H. Munandar & C. Hafner, (2011), The euro introduction and noneuro currencies, Applied Financial Economics, vol. 21(1-2), 95-116.

Engle, R. F. (2001), Dynamic conditional correlation: A simple class of multivariate GARCH models, University of California San Diego, Department of Economics.

Engle and Kroner (1995), Multivariate Simultaneous Generalised ARCH, Econometric Theory, Vol. 11, 122-150.

Engle, Ng and Rothschild (1990), Asset Pricing with a Factor ARCH Covariance Structure: Empirical Estimates for Treasury Bills, Journal of Econometrics 45, 213-237.

Engle and Sheppard, 2001), Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH, National Bureau Economic Research, working paper, No 8554.

FRB of St. Louis website: - http: /research. stlouisfed. org/fred2/data/DFF. txt.

Hautschand and Inkman (2003), Optimal Hedging of the Currency Exchange Risk Exposure of Dynamically Balanced Strategic Asset Allocations . Journal of Asset Management, 4, 173189.

Kearney, C. and V. Poti. (2003), DCC-GARCH Modelling of Market and Firm-Level Correlation Dynamics in the Dow Jones Eurostoxx50 Index. " Paper submitted to the European Finance Association Conference, Edinburgh.

Lee, M.C., J. S. Chiou and C.M. Lin (2006), A study of value-at-risk on portfolio in stock return using DCC multivariate GARCH, Applied Financial Economics Letter, 2, 183-188.

Mishra, A. K., Swain, N and Malhotra, D.K., (2007) Volatility Spillover between Stock and Foreign Exchange Markets: Indian Evidence, International Journal of Business 12(3), 343359.

Mishra.A. K and Paul.T., (2008), : -http: /ssrn. com/abstract=1088255 or http: /dx. doi. org/10. 2139/ssrn. 1088255.

Pelagatti, Matteo M., and Setfania Rondena. (2004), Dynamic Conditional Correlation with Elliptical Distributions. Typescript.

Pesaran. B and M.H. Pesaran. (2007), Modelling Volatilities and Conditional Correlations in Future Markets with a Multivariate t Distribution, IZA DP No2905.

RBI Monthly Bulletins Various issues.

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