Abstract
A financial conditions index (FCI) is an instrument that is developed using some financial variables in order to predict future output and/or inflation. Therefore, some studies in the literature examine the relationship between FCI and output gap/growth to determine whether the FCI is a leading indicator of business cycles. This study aims at investigating the relationship between output gap and FCI for Turkey by utilizing quarterly data covering the period 2005:1–2015:3. In other words, the study examines whether the FCI can be a leading indicator of business cycles in Turkey. For this purpose, the study, first, presents an FCI that has been recently developed for Turkey and reveals that the FCI is able to present the developments in the Turkish economy and in the world. Second, the study employs unit root tests and cointegration tests. The study finally performs vector autoregressive (VAR) analysis and the bootstrap Granger causality test to examine the relationship between FCI and output gap in Turkey. Both VAR analysis and the bootstrap Granger causality test indicate that the FCI has predictive power in forecasting future output gap in Turkey. Based on these findings, this study yields that the FCI in this study can be used as a leading indicator of business cycles in Turkey.
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Angelopoulou E, Balfoussia H, Gibson HD (2014) Building a financial conditions index for the euro area and selected euro area countries: what does it tell us about the crisis? Ecol Model 38:392–403
Berument HM, Denaux ZS, Yalcin Y (2012) How does the exchange rate movement affect macroeconomic performance? A VAR analysis with sign restriction approach–evidence from Turkey. Econ Bull 32(1):295–305
Bulut U (2015) The interest rate corridor as a macroprudential tool to mitigate rapid growth in credits: evidence from Turkey. Theor Appl Econ 22(4):133–144
Bulut U (2016) Do financial conditions have a predictive power on inflation in Turkey? Int J Econ Financ Iss 6(2):621–628
Castro V (2011) Can central banks’ monetary policy be described by a linear (augmented) Taylor rule or by a nonlinear rule? J Financ Stabil 7(4):228–246
Central Bank of the Republic of Turkey. http://tcmb.gov.tr/. Last Accessed 1 May 2016
Chow HK (2013) Can a financial conditions index guide monetary policy? The case of Singapore. http://ink.library.smu.edu.sg/soe_research/1484/. Last accessed 24 Nov 2015
Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49(4):1057–1072
Engle RF, Granger CW (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55(2):251–276
Gaglianone WP, Areosa WD (2016) Financial conditions indicators for Brazil (No. 435). Central Bank of Brazil Working Paper
Gauthier C, Graham C, Liu Y (2003) Financial conditions indices for Canada (No. 22). Bank of Canada Working Paper
Granger CW (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3):424–438
Gregory AW, Hansen BE (1996) Residual-based tests for cointegration in models with regime shifts. J Econometrics 70(1):99–126
Guichard S, Turner D (2008) Quantifying the effect of financial conditions on US activity (No. 635). OECD Economic Department Working Paper
Gumata N, Klein N, Ndou E (2012) A financial conditions index for South Africa (No. 196). IMF Working Paper
Hacker S, Hatemi-J A (2012) A bootstrap test for causality with endogenous lag length choice: theory and application in finance. J Econ Stud 39(2):144–160
Hatemi-J A (2003) A new method to choose optimal lag order in stable and unstable VAR models. Appl Econ Lett 10(3):135–137
Hatemi-J A (2008a) Tests for cointegration with two unknown regime shifts with an application to financial market integration. Empir Econ 35(3):497–505
Hatemi-J A (2008b) Forecasting properties of a new method to determine optimal lag order in stable and unstable VAR models. Appl Econ Lett 15(4):239–243
Hatemi-J A, Uddin GS (2014) On the causal nexus of remittances and poverty reduction in Bangladesh. Appl Econ 46(4):374–382
Hatzius J, Hooper P, Mishkin FS, Schoenholtz KL, Watson MW (2010) Financial conditions indexes: a fresh look after the financial crisis (No. 16150). NBER Working Paper
Ho G, Lu Y (2013) A financial conditions index for Poland (No. 252). IMF Working Paper
Hodrick RJ, Prescott EC (1997) Postwar US business cycles: an empirical investigation. J Money Credit Bank 29(1):1–16
Johansen S (1988) Statistical analysis of cointegration vectors. J Econ Dyn Control 12(2):231–254
Johansen S (1991) Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica 59(6):1551–1580
Johnston J, DiNardo J (1997) Econometric methods, vol 4. McGraw-Hill, New York
Kara AH, Özlü P, Ünalmış D (2012) Financial conditions indices for the Turkish economy (No. 1231). Research and Monetary Policy Department, Central Bank of the Republic of Turkey
Kara H, Özlü P, Ünalmış D (2015) Türkiye için finansal koşullar endeksi. Cent Bank Rev 15:41–73
Koop G, Korobilis D (2014) A new index of financial conditions. Eur Econ Rev 71:101–116
Maddala GS (1992) Introduction to econometrics, vol 2. Macmillan, New York
Maki D (2012) Tests for cointegration allowing for an unknown number of breaks. Econ Model 29(5):2011–2015
Matheson TD (2012) Financial conditions indexes for the United States and Euro area. Econ Lett 115(3):441–446
Mayes DG, Virén M (2001) Financial conditions indexes (No. 17). Bank of Finland Discussion Paper
Melolinna M, Tóth M (2016) Output gaps, inflation and financial cycles in the United Kingdom (No. 585). Bank of England Staff Working Paper
Milas C, Naraidoo R (2012) Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment. Comput Stat Data Anal 56(1):173–189
Narayan PK, Popp S (2010) A new unit root test with two structural breaks in level and slope at unknown time. J Appl Stat 37(9):1425–1438
Osario C, Unsal DF, Pongsaparn R (2011) A quantitative assessment of financial conditions in Asia (No. 170). IMF Working Paper
Phillips PC, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75(2):335–346
Rosenberg M (2009) Financial conditions watch. http://www.ssc.wisc.edu/~mchinn/fcw_sep112009.pdf. Last accessed 10 May 2015
Sims CA (1980) Macroeconomics and reality. Econometrica 48(1):1–48
Thompson K, Van Eyden R, Gupta R (2015) Identifying an index of financial conditions for South Africa. Stud Econ Financ 32(2):256–274
Vonen NH (2011) A financial conditions index for Norway (No. 7). Norges Bank
Westerlund J, Edgerton DL (2007) New improved tests for cointegration with structural breaks. J Time Anal 28(2):188–224
Wu JC, Xia FD (2014) Measuring the macroeconomic impact of monetary policy at the zero lower bound (No. 20117). NBER Working Paper
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Bulut, U. (2017). Financial Conditions Index as a Leading Indicator of Business Cycles in Turkey. In: Hacioğlu, Ü., Dinçer, H. (eds) Global Financial Crisis and Its Ramifications on Capital Markets. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-47021-4_17
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DOI: https://doi.org/10.1007/978-3-319-47021-4_17
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