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An Almon Approximation of the Day of the Month Effect in Currency in Circulation

Listed author(s):
  • Kaushik Bhattacharya

    (Monetary Modelling Unit, Monetary Policy Department, Reserve Bank of India, Shahid Bhagat Singh Road, Fort, MUMBAI - 400 001)

  • Himanshu Joshi

    (Monetary Modelling Unit, Monetary Policy Department, Reserve Bank of India, Shahid Bhagat Singh Road, Fort, MUMBAI - 400 001)

In recent years, increasing importance of active day-to-day asset-liability management by banks and liquidity management by central banks renders that short-term seasonalities in monetary series should be studied minutely. Currency in circulation is a typical example of such a series that displays strong intra-month seasonality. Earlier, the intra-month seasonality in currency in circulation in India had been modeled by dummy variables pertaining to specific days of months (Bhattacharya and Joshi, 2001). The paper reports a parsimonious representation of the Bhattacharya and Joshi (2001) model by approximating the coefficients pertaining to the thirty-one 'day of the month' dummies by a polynomial. The extension is interesting because it provides an example of polynomial approximation of coefficients pertaining to a group of indexed dummy variables, rather than lagged dependent or independent variables as in a standard Almon (1965) scheme. For a degree four approximation, an empirical comparison of the two models reveals marginal difference in explanatory powers and forecasting abilities.

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Article provided by Department of Economics, Delhi School of Economics in its journal Indian Economic Review.

Volume (Year): 37 (2002)
Issue (Month): 2 (July)
Pages: 163-174

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Handle: RePEc:dse:indecr:v:37:y:2002:i:2:p:163-174
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