Foreign PMIs: A reliable indicator for exports?
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Raffaella Giacomini & Halbert White, 2006.
"Tests of Conditional Predictive Ability,"
Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
- Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
- Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
- Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, University Library of Munich, Germany.
- Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2016.
"A multi-country approach to forecasting output growth using PMIs,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 349-365.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A Multi-Country Approach to Forecasting Output Growth Using PMIs," CESifo Working Paper Series 5100, CESifo.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
- Robert Lehmann, 2021.
"Forecasting exports across Europe: What are the superior survey indicators?,"
Empirical Economics, Springer, vol. 60(5), pages 2429-2453, May.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ERSA conference papers ersa15p756, European Regional Science Association.
- Lehmann, Robert, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112847, Verein für Socialpolitik / German Economic Association.
- Robert Lehmann, 2019. "Forecasting Exports across Europe: What Are the Superior Survey Indicators?," CESifo Working Paper Series 7846, CESifo.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, 2010.
"Survey data as coincident or leading indicators,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 109-131.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, "undated". "Survey Data as Coincident or Leading Indicators," Working Papers 3, Department of the Treasury, Ministry of the Economy and of Finance.
- Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, 2009. "Survey Data as Coicident or Leading Indicators," Economics Working Papers ECO2009/19, European University Institute.
- Lahiri, Kajal & Monokroussos, George, 2013.
"Nowcasting US GDP: The role of ISM business surveys,"
International Journal of Forecasting, Elsevier, vol. 29(4), pages 644-658.
- Kajal Lahiri & George Monokroussos, 2011. "Nowcasting US GDP: The role of ISM Business Surveys," Discussion Papers 11-01, University at Albany, SUNY, Department of Economics.
- 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.
- Nils Jannsen & Julia Richter, 2012. "Kapazitätsauslastung im Ausland als Indikator für die deutschen Investitionsgüterexporte," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 92(12), pages 833-837, December.
- Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
- 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.
- Michael P. Clements & Ana Beatriz Galvao, 2009.
"Forecasting US output growth using leading indicators: an appraisal using MIDAS models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1187-1206.
- Michael P. Clements & Ana Beatriz Galvão, 2009. "Forecasting US output growth using leading indicators: an appraisal using MIDAS models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1187-1206, November.
- Kaufmann, Daniel & Scheufele, Rolf, 2017.
"Business tendency surveys and macroeconomic fluctuations,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
- Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
- Ca' Zorzi, Michele & Schnatz, Bernd, 2007. "Explaining and forecasting euro area exports: which competitiveness indicator performs best?," Working Paper Series 833, European Central Bank.
- Katja Heinisch & Rolf Scheufele, 2018.
"Bottom-up or direct? Forecasting German GDP in a data-rich environment,"
Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
- Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
- Drechsel, Katja & Scheufele, Rolf, 2013. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," IWH Discussion Papers 7/2013, Halle Institute for Economic Research (IWH).
- 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.
- Christian Grimme & Klaus Wohlrabe, 2014. "Die ifo Exporterwartungen – ein neuer Indikator zur Lage der Exportindustrie in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(23), pages 64-65, December.
- Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004.
"The MIDAS Touch: Mixed Data Sampling Regression Models,"
University of California at Los Angeles, Anderson Graduate School of Management
qt9mf223rs, Anderson Graduate School of Management, UCLA.
- Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," CIRANO Working Papers 2004s-20, CIRANO.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
- Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "Das ifo Exportklima – ein Frühindikator für die deutsche Exportprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
- Baghestani, Hamid, 1994. "Evaluating multiperiod survey forecasts of real net exports," Economics Letters, Elsevier, vol. 44(3), pages 267-272.
- Cláudia Duarte & Fátima Cardoso, 2006. "The Use of Qualitative Information for Forecasting Exports," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Grimme, Christian & Lehmann, Robert & Noeller, Marvin, 2021.
"Forecasting imports with information from abroad,"
Economic Modelling, Elsevier, vol. 98(C), pages 109-117.
- Christian Grimme & Robert Lehmann & Marvin Noeller, 2018. "Forecasting Imports with Information from Abroad," CESifo Working Paper Series 7079, CESifo.
- Christian Grimme & Robert Lehmann & Marvin Noeller, 2019. "Forecasting Imports with Information from Abroad," ifo Working Paper Series 294, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann, 2021.
"Forecasting exports across Europe: What are the superior survey indicators?,"
Empirical Economics, Springer, vol. 60(5), pages 2429-2453, May.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ERSA conference papers ersa15p756, European Regional Science Association.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann, 2019. "Forecasting Exports across Europe: What Are the Superior Survey Indicators?," CESifo Working Paper Series 7846, CESifo.
- Lehmann, Robert, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112847, Verein für Socialpolitik / German Economic Association.
- Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
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.- Hanslin Grossmann, Sandra & Scheufele, Rolf, 2015. "Foreign PMIs: A reliable indicator for Swiss exports," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112830, Verein für Socialpolitik / German Economic Association.
- Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
- Robert Lehmann, 2021.
"Forecasting exports across Europe: What are the superior survey indicators?,"
Empirical Economics, Springer, vol. 60(5), pages 2429-2453, May.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ERSA conference papers ersa15p756, European Regional Science Association.
- Robert Lehmann, 2019. "Forecasting Exports across Europe: What Are the Superior Survey Indicators?," CESifo Working Paper Series 7846, CESifo.
- Lehmann, Robert, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112847, Verein für Socialpolitik / German Economic Association.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Kaufmann, Daniel & Scheufele, Rolf, 2017.
"Business tendency surveys and macroeconomic fluctuations,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
- Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
- Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2016.
"A multi-country approach to forecasting output growth using PMIs,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 349-365.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A Multi-Country Approach to Forecasting Output Growth Using PMIs," CESifo Working Paper Series 5100, CESifo.
- Hwee Kwan Chow & Yijie Fei & Daniel Han, 2023. "Forecasting GDP with many predictors in a small open economy: forecast or information pooling?," Empirical Economics, Springer, vol. 65(2), pages 805-829, August.
- Katja Heinisch & Rolf Scheufele, 2018.
"Bottom-up or direct? Forecasting German GDP in a data-rich environment,"
Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
- Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
- Drechsel, Katja & Scheufele, Rolf, 2013. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," IWH Discussion Papers 7/2013, Halle Institute for Economic Research (IWH).
- Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017.
"The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey,"
Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
- Mogliani, M. & Brunhes-Lesage, V. & Darné, O. & Pluyaud, B., 2014. "New estimate of the MIBA forecasting model. Modeling first-release GDP using the Banque de France's Monthly Business Survey and the “blocking” approach," Working papers 473, Banque de France.
- Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019.
"Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland,"
International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
- Dr. Alain Galli & Dr. Christian Hepenstrick & Dr. Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
- João C. Claudio & Katja Heinisch & Oliver Holtemöller, 2020.
"Nowcasting East German GDP growth: a MIDAS approach,"
Empirical Economics, Springer, vol. 58(1), pages 29-54, January.
- Claudio, João C. & Heinisch, Katja & Holtemöller, Oliver, 2019. "Nowcasting East German GDP growth: A MIDAS approach," IWH Discussion Papers 24/2019, Halle Institute for Economic Research (IWH).
- Caroline Jardet & Baptiste Meunier, 2022.
"Nowcasting world GDP growth with high‐frequency data,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1181-1200, September.
- Jardet Caroline & Meunier Baptiste, 2020. "Nowcasting World GDP Growth with High-Frequency Data," Working papers 788, Banque de France.
- Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Post-Print hal-03647097, HAL.
- Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
- Christian Glocker & Serguei Kaniovski, 2022.
"Macroeconometric forecasting using a cluster of dynamic factor models,"
Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
- Christian Glocker & Serguei Kaniovski, 2020. "Macroeconometric Forecasting Using a Cluster of Dynamic Factor Models," WIFO Working Papers 614, WIFO.
- Götz, Thomas B. & Hecq, Alain & Urbain, Jean-Pierre, 2016. "Combining forecasts from successive data vintages: An application to U.S. growth," International Journal of Forecasting, Elsevier, vol. 32(1), pages 61-74.
- Boriss Siliverstovs, 2017.
"Short-term forecasting with mixed-frequency data: a MIDASSO approach,"
Applied Economics, Taylor & Francis Journals, vol. 49(13), pages 1326-1343, March.
- Boriss Siliverstovs, 2015. "Short-term forecasting with mixed-frequency data: A MIDASSO approach," KOF Working papers 15-375, 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.
- Grimme, Christian & Lehmann, Robert & Noeller, Marvin, 2021.
"Forecasting imports with information from abroad,"
Economic Modelling, Elsevier, vol. 98(C), pages 109-117.
- Christian Grimme & Robert Lehmann & Marvin Noeller, 2018. "Forecasting Imports with Information from Abroad," CESifo Working Paper Series 7079, CESifo.
- Christian Grimme & Robert Lehmann & Marvin Noeller, 2019. "Forecasting Imports with Information from Abroad," ifo Working Paper Series 294, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
- 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.
- Ballarin, Giovanni & Dellaportas, Petros & Grigoryeva, Lyudmila & Hirt, Marcel & van Huellen, Sophie & Ortega, Juan-Pablo, 2024.
"Reservoir computing for macroeconomic forecasting with mixed-frequency data,"
International Journal of Forecasting, Elsevier, vol. 40(3), pages 1206-1237.
- Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
More about this item
Keywords
Business tendency surveys; mixed frequencies; nowcasting; forecasting; MIDAS; exports;All these keywords.
JEL classification:
- F14 - International Economics - - Trade - - - Empirical Studies of Trade
- F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2016-04-04 (Forecasting)
- NEP-INT-2016-04-04 (International Trade)
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:snb:snbwpa:2016-01. 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: Enzo Rossi (email available below). General contact details of provider: https://edirc.repec.org/data/snbgvch.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.