How Does Yield Curve Predict GDP Growth? A Macro-Finance Approach Revisited
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Junko Koeda, 2012. "How does yield curve predict GDP growth? A macro-finance approach revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 19(10), pages 929-933, July.
- Junko Koeda, 2010. "How Does Yield Curve Predict GDP Growth? A Macro-Finance Approach Revisited," CARF F-Series CARF-F-237, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Jan 2011.
References listed on IDEAS
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006.
"What does the yield curve tell us about GDP growth?,"
Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
- Andrew Ang & Monika Piazzesi & Min Wei, 2003. "What does the yield curve tell us about GDP growth?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Andrew Ang & Monika Piazzesi & Min Wei, 2004. "What Does the Yield Curve Tell us about GDP Growth?," NBER Working Papers 10672, National Bureau of Economic Research, Inc.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Kozicki, Sharon & Tinsley, P. A., 2001.
"Shifting endpoints in the term structure of interest rates,"
Journal of Monetary Economics, Elsevier, vol. 47(3), pages 613-652, June.
- Sharon Kozicki & Peter A. Tinsley, 1997. "Shifting endpoints in the term structure of interest rates," Research Working Paper 97-08, Federal Reserve Bank of Kansas City.
- Hibiki Ichiue, 2004.
"Why Can the Yield Curve Predict Output Growth, Inflation, and Interest Rates? An Analysis with Affine Term Structure Model,"
Econometric Society 2004 Far Eastern Meetings
581, Econometric Society.
- Hibiki Ichiue, 2004. "Why Can the Yield Curve Predict Output Growth, Inflation, and Interest Rates? An Analysis with an Affine Term Structure Model," Bank of Japan Working Paper Series 04-E-11, Bank of Japan.
- Bordo, Michael D. & Haubrich, Joseph G., 2008.
"Forecasting with the yield curve; level, slope, and output 1875-1997,"
Economics Letters, Elsevier, vol. 99(1), pages 48-50, April.
- Michael D. Bordo & Joseph G. Haubrich, 2006. "Forecasting with the yield curve; level, slope, and output 1875-1997," Working Papers (Old Series) 0611, Federal Reserve Bank of Cleveland.
- Campbell, John Y & Shiller, Robert J, 1987.
"Cointegration and Tests of Present Value Models,"
Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-1088, October.
- John Y. Campbell & Robert J. Shiller, 1986. "Cointegration and Tests of Present Value Models," Cowles Foundation Discussion Papers 785, Cowles Foundation for Research in Economics, Yale University.
- Campbell, John & Shiller, Robert, 1987. "Cointegration and Tests of Present Value Models," Scholarly Articles 3122490, Harvard University Department of Economics.
- John Y. Campbell & Robert J. Shiller, 1986. "Cointegration and Tests of Present Value Models," NBER Working Papers 1885, National Bureau of Economic Research, Inc.
- Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Huseyin Kaya, 2013. "On the Predictive Power of Yield Spread for Future Growth and Recession: The Turkish Case," Working Papers 010, Bahcesehir University, Betam, revised Mar 2013.
- Junfeng Jiang, 2023. "Heterogeneous Influence of Socioeconomic Inequality on Population Health: A Cross-national Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 1109-1124, October.
- Roman Horvath, 2012. "Do Confidence Indicators Help Predict Economic Activity? The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(5), pages 398-412, November.
- Jiyoung Lee, 2015. "Disentangling the Predictive Power of Term Spreads under Inflation Targeting," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 419-450, September.
- Junko Koeda, 2011. "Japanese Yield Curves In and Out of a Zero Rate Environmnet: A Macro-Finance Perspective," CARF F-Series CARF-F-254, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Nov 2011.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Galvão, Ana Beatriz, 2013.
"Changes in predictive ability with mixed frequency data,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
- Ana Beatriz Galvão, 2007. "Changes in Predictive Ability with Mixed Frequency Data," Working Papers 595, Queen Mary University of London, School of Economics and Finance.
- Rossi, Barbara, 2013.
"Advances in Forecasting under Instability,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324,
Elsevier.
- Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2013.
"Should Macroeconomic Forecasters Use Daily Financial Data and How?,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 240-251, April.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
- Eric Ghysels & Andros Kourtellos & Elena Andreou, 2012. "Should macroeconomic forecasters use daily financial data and how?," 2012 Meeting Papers 1196, Society for Economic Dynamics.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should Macroeconomic Forecasters Use Daily Financial Data and How?," Working Paper series 42_10, Rimini Centre for Economic Analysis.
- Clark, Todd & McCracken, Michael, 2013.
"Advances in Forecast Evaluation,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1107-1201,
Elsevier.
- Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.
- Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers 2011-025, Federal Reserve Bank of St. Louis.
- Guidolin, Massimo & Thornton, Daniel L., 2018.
"Predictions of short-term rates and the expectations hypothesis,"
International Journal of Forecasting, Elsevier, vol. 34(4), pages 636-664.
- Massimo Guidolin & Daniel L. Thornton, 2010. "Predictions of short-term rates and the expectations hypothesis," Working Papers 2010-013, Federal Reserve Bank of St. Louis.
- Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
- Granziera, Eleonora & Hubrich, Kirstin & Moon, Hyungsik Roger, 2014.
"A predictability test for a small number of nested models,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 174-185.
- Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.
- Morales-Arias, Leonardo & Moura, Guilherme V., 2013.
"Adaptive forecasting of exchange rates with panel data,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 493-509.
- Leonardo Morales-Arias & Alexander Dross, 2010. "Adaptive Forecasting of Exchange Rates with Panel Data," Research Paper Series 285, Quantitative Finance Research Centre, University of Technology, Sydney.
- Pincheira, Pablo & Hardy, Nicolás & Muñoz, Felipe, 2021. ""Go wild for a while!": A new asymptotically Normal test for forecast evaluation in nested models," MPRA Paper 105368, University Library of Munich, Germany.
- Pablo Pincheira & Nicolás Hardy & Felipe Muñoz, 2021. "“Go Wild for a While!”: A New Test for Forecast Evaluation in Nested Models," Mathematics, MDPI, vol. 9(18), pages 1-28, September.
- Marczak, Martyna & Proietti, Tommaso, 2016.
"Outlier detection in structural time series models: The indicator saturation approach,"
International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
- Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CREATES Research Papers 2014-20, Department of Economics and Business Economics, Aarhus University.
- Marczak, Martyna & Proietti, Tommaso, 2015. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113137, Verein für Socialpolitik / German Economic Association.
- Marczak, Martyna & Proietti, Tommaso, 2014. "Outlier detection in structural time series models: The indicator saturation approach," FZID Discussion Papers 90-2014, University of Hohenheim, Center for Research on Innovation and Services (FZID).
- Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CEIS Research Paper 325, Tor Vergata University, CEIS, revised 08 Aug 2014.
- Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014.
"Forecasting the Equity Risk Premium: The Role of Technical Indicators,"
Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2010. "Out-of-sample equity premium prediction: economic fundamentals vs. moving-average rules," Working Papers 2010-008, Federal Reserve Bank of St. Louis.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2011. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Working Papers CoFie-02-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Charles, Amelie & Darne, Olivier & Kim, Jae, 2016.
"Stock Return Predictability: Evaluation based on Prediction Intervals,"
MPRA Paper
70143, University Library of Munich, Germany.
- Amélie Charles & Olivier Darné & Jae H. Kim, 2016. "Stock Return Predictability: Evaluation based on prediction intervals," Working Papers hal-01295037, HAL.
- Hännikäinen, Jari, 2017.
"When does the yield curve contain predictive power? Evidence from a data-rich environment,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 1044-1064.
- Hännikäinen, Jari, 2016. "When does the yield curve contain predictive power? Evidence from a data-rich environment," MPRA Paper 70489, University Library of Munich, Germany.
- Jari Hännikäinen, 2016. "When does the yield curve contain predictive power? Evidence from a data-rich environment," Working Papers 1603, Tampere University, Faculty of Management and Business, Economics.
- West, Kenneth D., 2006. "Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 3, pages 99-134, Elsevier.
- , & Stein, Tobias, 2021.
"Equity premium predictability over the business cycle,"
CEPR Discussion Papers
16357, C.E.P.R. Discussion Papers.
- Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
- Leo Krippner & Leif Anders Thorsrud, 2009. "Forecasting New Zealand's economic growth using yield curve information," Reserve Bank of New Zealand Discussion Paper Series DP2009/18, Reserve Bank of New Zealand.
- Shi, Qi, 2023. "The RP-PCA factors and stock return predictability: An aligned approach," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2011-01-30 (Central Banking)
- NEP-FOR-2011-01-30 (Forecasting)
- NEP-MAC-2011-01-30 (Macroeconomics)
- NEP-MON-2011-01-30 (Monetary Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tky:fseres:2011cf784. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CIRJE administrative office (email available below). General contact details of provider: https://edirc.repec.org/data/ritokjp.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.