Application of threshold vector error correction model (TVECM) in describing adjustment of interest rate of working capital credit to BI rate movement
Knowledge about bank behavior in adjusting the interest rate to BI rate movement is important not only for debtors to make a decision to borrow money, but also for government to know whether BI rate as a monetary policy tool success in influencing the movement of interest rate. The approach used for analyzing the data in this paper is TVECM. The data used in this paper are interest rate of working capital credit of conventional bank and BI rate of January 2008–July 2016. Bank is more agressive in correcting the disequilibrium by increasing the interest rate of working capital credit than decreasing it. Interest rate of working capital credit is significantly adjusted by bank approximately 64.95% of its disequilibrium when the disequilibrium is lower than 0.96. When it is between 0.96 and 0.76, interest rate of working capital credit will be adjusted approximately 11.87% of its disequilibrium.When it is higher than 0.76, interest rate of working capital credit will be adjusted approximately 11.88% of its disequilibrium. Moderate interest rate of working capital credit based on BI rate consideration is between 1.74 BI rate –0.96 and 1.74 BI rate +0.76. According to the selection criteria values, TVECM is better than VECM and VAR in modeling relationship between BI rate and interest rate of working capital.
Balke, N. S., & Fomby, T. B. (1997). Threshold cointegration. International Economic Review, 38, 627–645.
Enders, W. (2004). Applied econometric time series (2nd ed.). New York: John Wiley & Sons Inc.
Esteve, V., & Prats, M. A. (2010). Threshold cointegration and nonlinear adjustment between stock prices and dividens. Applied Economics Letters, 17, 405–410.
Granger, C. W. J, & Terasvirta (1993). Modelling nonlinear economic relationships (Advanced texts in econometrics). Oxford: Oxford University Press
Grasso, M. (2010). Three-regime threshold error correction models and the law of one price: The case of European electricity markets. Working Paper n.30.
Gujarati, D. (2004). Basic econometric. New York: McGraw-Hill.
Harmanta, E. M. (2005, June). Disintermediasi fungsi perbankan di Indonesia pasca krisis 1997: Faktor permintaan atau penawaran kredit, sebuah pendekatan dengan model disequilibrium. Buletin Ekonomi Moneter dan Perbankan, p. 51.
Listiyanto. (2013). Analisis kelakuan dan faktor-faktor uang mempengaruhi tingkat suku bunga perbankan di Indonesia. Jurnal Kebijakan Ekonomi, 8(2), 26–36.
Nugroho, H. N. (2010). Pengaruh kebijakan BI rate terhadap suku bunga kredit investasi bank umum periode Juli 2005–Desember 2009 (Unpublished master’s thesis). Universitas Indonesia.
Ondieki, D. N., & Jagongo, A.. (2013). Effect of lowering central bank rate on bank’s prime rate: An analysis of Kenyan commercial banks. International Journal of Humanities and Social Science, 3(20), 207–2014.
Setianto, T. B. (2013). Faktor-faktor yang mempengaruhi suku bunga kredit investasi pada sektor perbankan di Indonesia periode 2006–2012. Jurnal MIX, 3(2), 133–145.
Stigler, M. (2010). Threshold cointegration: Overview and implementation in R. Retrieved from http://cran.r-project.org/package=tsDyn