Forecasting Turkish GDP Growth with Financial Variables and Confidence Indicators
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Stephane Dees & Pedro Soares Brinca, 2013.
"Consumer confidence as a predictor of consumption spending: Evidence for the United States and the Euro area,"
International Economics, CEPII research center, issue 134, pages 1-14.
- Dées, Stéphane & Soares Brinca, Pedro, 2011. "Consumer confidence as a predictor of consumption spending: evidence for the United States and the euro area," Working Paper Series 1349, European Central Bank.
- Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006.
"A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series,"
Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
- Stock, James & Watson, Mark & Marcellino, Massimiliano, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," CEPR Discussion Papers 4976, C.E.P.R. Discussion Papers.
- Massimiliano Marcellino & James Stock & Mark Watson, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," Working Papers 285, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015.
"Macroeconomic forecasting during the Great Recession: The return of non-linearity?,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
- Ferrara, L. & Marcellino, M. & Mogliani, M., 2012. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," Working papers 383, Banque de France.
- Laurent Ferrara & Massimiliano Marcellino & Matteo Mogliani, 2015. "Macroeconomic forecasting during the Great Recession: the return of non-linearity?," Post-Print hal-01635951, HAL.
- Marcellino, Massimiliano & Ferrara, Laurent & Mogliani, Matteo, 2013. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," CEPR Discussion Papers 9313, C.E.P.R. Discussion Papers.
- repec:cii:cepiei:2013-q2-134-1 is not listed on IDEAS
- James H. Stock & Mark W.Watson, 2003.
"Forecasting Output and Inflation: The Role of Asset Prices,"
Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
- James H. Stock & Mark W. Watson, 2001. "Forecasting output and inflation: the role of asset prices," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- James H. Stock & Mark W. Watson, 2001. "Forecasting Output and Inflation: The Role of Asset Prices," NBER Working Papers 8180, National Bureau of Economic Research, Inc.
- Hatice Gökçe Karasoy Can & Çağlar Yüncüler, 2018.
"The Explanatory Power and the Forecast Performance of Consumer Confidence Indices for Private Consumption Growth in Turkey,"
Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 2136-2152, July.
- Hatice Gokce Karasoy & Caglar Yunculer, 2015. "The Explanatory Power and the Forecast Performance of Consumer Confidence Indices for Private Consumption Growth in Turkey," Working Papers 1519, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Clemon, Robert T & Winkler, Robert L, 1986. "Combining Economic Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 39-46, January.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- Jeremy Smith & Kenneth F. Wallis, 2009. "A Simple Explanation of the Forecast Combination Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 331-355, June.
- Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
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.- Gibbs, Christopher G. & Vasnev, Andrey L., 2024.
"Conditionally optimal weights and forward-looking approaches to combining forecasts,"
International Journal of Forecasting, Elsevier, vol. 40(4), pages 1734-1751.
- Christopher G. Gibbs & Andrey L. Vasnev, 2017. "Conditionally Optimal Weights and Forward-Looking Approaches to Combining Forecasts," Discussion Papers 2017-10, School of Economics, The University of New South Wales.
- 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.
- Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
- Bahar Şen Doğan & Murat Midiliç, 2019. "Forecasting Turkish real GDP growth in a data-rich environment," Empirical Economics, Springer, vol. 56(1), pages 367-395, January.
- Christopher G. Gibbs, 2015. "Overcoming the Forecast Combination Puzzle: Lessons from the Time-Varying Effciency of Phillips Curve Forecasts of U.S. Inflation," Discussion Papers 2015-09, School of Economics, The University of New South Wales.
- Moramarco, Graziano, 2024.
"Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 777-795.
- Graziano Moramarco, 2021. "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," Papers 2111.00822, arXiv.org, revised Jan 2024.
- Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
- Chan, Felix & Pauwels, Laurent L., 2018. "Some theoretical results on forecast combinations," International Journal of Forecasting, Elsevier, vol. 34(1), pages 64-74.
- Yang, Ke & Tian, Fengping & Chen, Langnan & Li, Steven, 2017. "Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 276-291.
- Antoine Mandel & Amir Sani, 2017.
"A Machine Learning Approach to the Forecast Combination Puzzle,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
halshs-01317974, HAL.
- Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
- Wright, Jonathan H., 2008.
"Bayesian Model Averaging and exchange rate forecasts,"
Journal of Econometrics, Elsevier, vol. 146(2), pages 329-341, October.
- Jonathan H. Wright, 2003. "Bayesian Model Averaging and exchange rate forecasts," International Finance Discussion Papers 779, Board of Governors of the Federal Reserve System (U.S.).
- Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015.
"Forecasting aggregate retail sales: The case of South Africa,"
International Journal of Production Economics, Elsevier, vol. 160(C), pages 66-79.
- Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar, 2013. "Forecasting Aggregate Retail Sales: The Case of South Africa," Working Papers 201312, University of Pretoria, Department of Economics.
- Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Rangan Gupta & Anandamayee Majumdar, 2014. "Forecasting Aggregate Retail Sales: The Case of South Africa," Working Papers 15-21, Eastern Mediterranean University, Department of Economics.
- Konstantin A. Kholodilin & Boriss Siliverstovs, 2017.
"Think national, forecast local: a case study of 71 German urban housing markets,"
Applied Economics, Taylor & Francis Journals, vol. 49(42), pages 4271-4297, September.
- Konstantin A. Kholodilin & Boriss Siliverstovs, 2015. "Think national, forecast local: A case study of 71 German urban housing markets," KOF Working papers 15-372, KOF Swiss Economic Institute, ETH Zurich.
- 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.
- Li, Li & Kang, Yanfei & Li, Feng, 2023.
"Bayesian forecast combination using time-varying features,"
International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
- Li Li & Yanfei Kang & Feng Li, 2021. "Bayesian forecast combination using time-varying features," Papers 2108.02082, arXiv.org, revised Jun 2022.
- Konstantin A. Kholodilin & Boriss Siliverstovs, 2014.
"Business Confidence and Forecasting of Housing Prices and Rents in Large German Cities,"
Discussion Papers of DIW Berlin
1360, DIW Berlin, German Institute for Economic Research.
- Konstantin Kholodilin, 2014. "Business confidence and forecasting of housing prices and rents in large German cities," ERSA conference papers ersa14p9, European Regional Science Association.
- Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012.
"Is there an Optimal Forecast Combination? A Stochastic Dominance Approach to Forecast Combination Puzzle,"
Working Paper series
17_12, Rimini Centre for Economic Analysis.
- Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012. "Is there an optimal forecast combination? A stochastic dominance approach applied to the forecast combination puzzle," Working Papers 1206, University of Guelph, Department of Economics and Finance.
- Patrick T. Kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2016.
"Forecasting South African inflation using non-linearmodels: a weighted loss-based evaluation,"
Applied Economics, Taylor & Francis Journals, vol. 48(26), pages 2412-2427, June.
- Pejman Bahramian & Mehmet Balcilar & Rangan Gupta & Patrick T. kanda, 2014. "Forecasting South African Inflation Using Non-Linear Models: A Weighted Loss-Based Evaluation," Working Papers 15-19, Eastern Mediterranean University, Department of Economics.
- Patrick T. kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2014. "Forecasting South African Inflation Using Non-Linear Models: A Weighted Loss-Based Evaluation," Working Papers 201416, University of Pretoria, Department of Economics.
- Sebastian M. Blanc & Thomas Setzer, 2020. "Bias–Variance Trade-Off and Shrinkage of Weights in Forecast Combination," Management Science, INFORMS, vol. 66(12), pages 5720-5737, December.
- Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ARA-2016-07-30 (MENA - Middle East and North Africa)
- NEP-CWA-2016-07-30 (Central and Western Asia)
- NEP-FOR-2016-07-30 (Forecasting)
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:tcb:econot:1614. 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: the person in charge or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tcmgvtr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.