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Interest Rate Modeling and Forecasting in India

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  • Pami Dua

Abstract

The interest rate is a key financial variable that affects decision of consumers, businesses, financial institutions, professional investors and policymakers. Timely forecast of interest rates can therefore provide valuable information to financial market participants and policymakers. The objective of this study is to develop models to forecast short term and long term rates. The study develops univariate and multivariate models to forecast these rates.

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  • Pami Dua, 2008. "Interest Rate Modeling and Forecasting in India," Working Papers id:1521, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:1521
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    Cited by:

    1. Raushan Kumar, 2021. "Predicting Wheat Futures Prices in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 121-140, March.
    2. Biswajit Maitra, 2018. "Determinants of Nominal Interest Rates in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 265-288, March.
    3. Haroon Mumtaz & Nitin Kumar, 2012. "An application of data-rich environment for policy analysis of the Indian economy," Joint Research Papers 2, Centre for Central Banking Studies, Bank of England.
    4. Narayana, N.S.S. & Ghosh, Probal P., 2005. "Macroeconomic Simulation Results for India based on VEC/VAR Models," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 60(4), pages 1-40.
    5. Pami Dua & Nishita Raje & Satyananda Sahoo, 2008. "Forecasting Interest Rates in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 2(1), pages 1-41, March.
    6. Dilip Nachane & Jose Clavel, 2008. "Forecasting interest rates: a comparative assessment of some second-generation nonlinear models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(5), pages 493-514.
    7. Sanjay Sehgal & Kumar Bijoy & Florent Deisting, 2011. "Modeling and Forecasting Debt Market Yields : Evidence From India," Post-Print hal-01881922, HAL.
    8. Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
    9. Bhattacharya, B.B. & Bhanumurthy, N.R. & Mallick, Hrushikesh, 2008. "Modeling interest rate cycles in India," Journal of Policy Modeling, Elsevier, vol. 30(5), pages 899-915.
    10. Jayaraman, T. K. & Choong, Chee-Keong, 2011. "Impact of global growth fluctuations on India: an empirical study," MPRA Paper 33685, University Library of Munich, Germany.

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