Examining Volatility of Interbank Rate in Nepal
This paper attempts to examine volatility pattern of interbank rate of Nepal using daily and monthly data. The empirical results show significant variation in volatility during the period of study. It depicts the clustering of large and small variances of interbank rate. Moreover, as the sum of ARCH and GARCH coefficients are greater than unity in the daily interbank rate, shocks are highly persistent in the interbank market. However, the SLF of NRB has been observed to lower the persistence of shocks, as the sum of ARCH and GARCH coefficients decreases when effect of SLF and repo are introduced in the model. It depicts that SLF and repo of NRB has been effective to lower the persistence of shocks on daily interbank market, but it increased the mean of conditional volatility. The other important finding of the study is that mean conditional volatility is highest in February and lowest in August.
Volume (Year): 23 (2011)
Issue (Month): 1 (April)
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- Nephil Matangi Maskay Ph.D. & Rajendra Pandit, 2009.
"Interest Rate Pass-Through in Nepal,"
NRB Working Paper
05/2009, Nepal Rastra Bank, Research Department.
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- Alessandro Prati & Leonardo Bartolini & Giuseppe Bertola, 2001. "The overnight interbank market: evidence from the G-7 and the Euro zone," Staff Reports 135, Federal Reserve Bank of New York.
- Judit Antal & Gyula Barabás & Tamás Czeti & Klára Major, 2001. "Liquidity management operations at the National Bank of Hungary," MNB Occasional Papers 2001/9, Magyar Nemzeti Bank (the central bank of Hungary).
- Hamilton, James D, 1996. "The Daily Market for Federal Funds," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 26-56, February.
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