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The Evaluation of Economic Forecasts
In: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance
Citations
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Cited by:
- 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.
- Marine Carrasco & Barbara Rossi, 2016.
"In-Sample Inference and Forecasting in Misspecified Factor Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 313-338, July.
- Rossi, Barbara & Carrasco, Marine, 2016. "In-sample Inference and Forecasting in Misspecified Factor Models," CEPR Discussion Papers 11388, C.E.P.R. Discussion Papers.
- Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
- Jose A. Lopez & Christian Walter, 1997.
"Is implied correlation worth calculating? Evidence from foreign exchange options and historical data,"
Research Paper
9730, Federal Reserve Bank of New York.
- Jose A. Lopez & Christian Walter, 2000. "Is implied correlation worth calculating? Evidence from foreign exchange options and historical data," Working Paper Series 2000-02, Federal Reserve Bank of San Francisco.
- Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
- Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
- Ivana Komunjer & Michael T. Owyang, 2012.
"Multivariate Forecast Evaluation and Rationality Testing,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1066-1080, November.
- Ivana Komunjer & Michael T. Owyang, 2007. "Multivariate forecast evaluation and rationality testing," Working Papers 2007-047, Federal Reserve Bank of St. Louis.
- Komunjer, Ivana & OWYANG, MICHAEL, 2007. "Multivariate Forecast Evaluation And Rationality Testing," University of California at San Diego, Economics Working Paper Series qt81w8m5sf, Department of Economics, UC San Diego.
- Carlo Altavilla & Matteo Ciccarelli, 2011.
"Monetary Policy Analysis in Real-Time. Vintage combination from a real-time dataset,"
CSEF Working Papers
274, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Carlo Altavilla & Matteo Ciccarelli, 2011. "Monetary Policy Analysis in Real-Time. Vintage Combination from a Real-Time Dataset," CESifo Working Paper Series 3372, CESifo.
- Capistrán, Carlos & López-Moctezuma, Gabriel, 2014.
"Forecast revisions of Mexican inflation and GDP growth,"
International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
- López Moctezuma Gabriel & Capistrán Carlos, 2010. "Forecast Revisions of Mexican Inflation and GDP Growth," Working Papers 2010-11, Banco de México.
- Cepni, Oguzhan & Clements, Michael P., 2024.
"How local is the local inflation factor? Evidence from emerging European countries,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
- Cepni, Oguzhan & Clements, Michael P., 2021. "How Local is the Local Inflation Factor? Evidence from Emerging European Countries," Working Papers 8-2021, Copenhagen Business School, Department of Economics.
- Lu, Yang K. & Perron, Pierre, 2010.
"Modeling and forecasting stock return volatility using a random level shift model,"
Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
- Yang K. Lu & Pierre Perron, 2008. "Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model," Boston University - Department of Economics - Working Papers Series wp2008-012, Boston University - Department of Economics.
- Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019.
"Testing for news and noise in non-stationary time series subject to multiple historical revisions,"
Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
- Alain Hecq & Jan P.A.M. Jacobs & Michalis P. Stamatogiannis, 2016. "Testing for News and Noise in Non-Stationary Time Series Subject to Multiple Historical Revisions," CIRANO Working Papers 2016s-01, CIRANO.
- Hecq, A.W. & Jacobs, J.P.A.M. & Stamatogiannis, M., 2016. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Research Memorandum 004, Maastricht University, Graduate School of Business and Economics (GSBE).
- Becker, Ralf & Clements, Adam E., 2008.
"Are combination forecasts of S&P 500 volatility statistically superior?,"
International Journal of Forecasting, Elsevier, vol. 24(1), pages 122-133.
- Ralf Becker & Adam Clements, 2007. "Are combination forecasts of S&P 500 volatility statistically superior?," NCER Working Paper Series 17, National Centre for Econometric Research.
- Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
- Choi, Kyongwook & Yu, Wei-Choun & Zivot, Eric, 2010.
"Long memory versus structural breaks in modeling and forecasting realized volatility,"
Journal of International Money and Finance, Elsevier, vol. 29(5), pages 857-875, September.
- Kyongwook Choi & Wei-Choun Yu & Eric Zivot, 2008. "Long Memory versus Structural Breaks in Modeling and Forecasting Realized Volatility," Working Papers UWEC-2008-20-FC, University of Washington, Department of Economics.
- Niu, Linlin & Xu, Xiu & Chen, Ying, 2017.
"An adaptive approach to forecasting three key macroeconomic variables for transitional China,"
Economic Modelling, Elsevier, vol. 66(C), pages 201-213.
- Linlin Niu & Xiu Xu & Ying Chen, 2015. "An Adaptive Approach to Forecasting Three Key Macroeconomic Variables for Transitional China," SFB 649 Discussion Papers SFB649DP2015-023, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Niu, Linlin & Xu, Xiu & Chen, Ying, 2015. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," BOFIT Discussion Papers 12/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
- Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2021. "The bias and efficiency of the ECB inflation projections: a State dependent analysis," Research Discussion Papers 7/2021, Bank of Finland.
- Wieland, Volker & Wolters, Maik, 2013.
"Forecasting and Policy Making,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325,
Elsevier.
- Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Emmanuel C. Mamatzakis & Mike G. Tsionas, 2020. "Revealing forecaster's preferences: A Bayesian multivariate loss function approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 412-437, April.
- Capistrán, Carlos, 2008.
"Bias in Federal Reserve inflation forecasts: Is the Federal Reserve irrational or just cautious?,"
Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1415-1427, November.
- Carmona, Carlos Capistran, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," University of California at San Diego, Economics Working Paper Series qt6v28v0b6, Department of Economics, UC San Diego.
- Capistrán Carlos, 2006. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Working Papers 2006-14, Banco de México.
- Carlos Capistrán-Carmona, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Computing in Economics and Finance 2005 127, Society for Computational Economics.
- Ghysels, Eric & Ozkan, Nazire, 2015. "Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1009-1020.
- McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
- Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022.
"Do expert experience and characteristics affect inflation forecasts?,"
Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," CFDS Discussion Paper Series 2020/6, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," Bank of Israel Working Papers 2020.11, Bank of Israel.
- Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
- Barbara Rossi, 2013.
"Exchange Rate Predictability,"
Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
- Barbara Rossi, 2013. "Exchange Rate Predictability," Working Papers 690, Barcelona School of Economics.
- Rossi, Barbara, 2013. "Exchange Rate Predictability," CEPR Discussion Papers 9575, C.E.P.R. Discussion Papers.
- Barbara Rossi, 2013. "Exchange rate predictability," Economics Working Papers 1369, Department of Economics and Business, Universitat Pompeu Fabra.
- Hendry, David F. & Clements, Michael P., 2003.
"Economic forecasting: some lessons from recent research,"
Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
- David Hendry & Michael P. Clements, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Papers 2002-W11, Economics Group, Nuffield College, University of Oxford.
- Clements, Michael P. & Hendry, David F., 2001. "Economic forecasting: some lessons from recent research," Working Paper Series 82, European Central Bank.
- Hendry, David F & Michael P. Clements, 2002. "Economic Forecasting: Some Lessons from Recent Research," Royal Economic Society Annual Conference 2002 99, Royal Economic Society.
- David Hendry & Michael P. Clements & Department of Economics & University of Warwick, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Series Working Papers 78, University of Oxford, Department of Economics.
- Chiu, Adrian & Wieladek, Tomasz, 2012. "Did output gap measurement improve over time?," Discussion Papers 36, Monetary Policy Committee Unit, Bank of England.
- N. Antonakakis & J. Darby, 2013.
"Forecasting volatility in developing countries' nominal exchange returns,"
Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1675-1691, November.
- Antonakakis, Nikolaos & Darby, Julia, 2012. "Forecasting Volatility in Developing Countries' Nominal Exchange Returns," MPRA Paper 40875, University Library of Munich, Germany.
- repec:imd:wpaper:wp2010-25 is not listed on IDEAS
- Benchimol, Jonathan & El-Shagi, Makram, 2020.
"Forecast performance in times of terrorism,"
Economic Modelling, Elsevier, vol. 91(C), pages 386-402.
- Jonathan Benchimol & Makram El-Shagi, 2017. "Forecast Performance in Times of Terrorism," CFDS Discussion Paper Series 2017/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
- Jonathan Benchimol & Makram El-Shagi, 2019. "Forecast Performance in Times of Terrorism," Bank of Israel Working Papers 2019.08, Bank of Israel.
- Jonathan Benchimol & Makram El-Shagi, 2020. "Forecast Performance in Times of Terrorism," Globalization Institute Working Papers 390, Federal Reserve Bank of Dallas.
- Jonathan Benchimol & Makram El-Shagi, 2020. "Forecast performance in times of terrorism," Post-Print halshs-03248938, HAL.
- He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
- Timo Dimitriadis & Andrew J. Patton & Patrick W. Schmidt, 2019.
"Testing Forecast Rationality for Measures of Central Tendency,"
Papers
1910.12545, arXiv.org, revised Jun 2023.
- Dimitriadis, Timo & Patton, Andrew J. & Schmidt, Patrick W., 2020. "Testing forecast rationality for measures of central tendency," Hohenheim Discussion Papers in Business, Economics and Social Sciences 12-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
- Jeremy Berkowitz & Peter Christoffersen & Denis Pelletier, 2011.
"Evaluating Value-at-Risk Models with Desk-Level Data,"
Management Science, INFORMS, vol. 57(12), pages 2213-2227, December.
- Jeremy Berkowitz & Peter Christoffersen & Denis Pelletier, 2005. "Evaluating Value-at-Risk models with desk-level data," Working Paper Series 010, North Carolina State University, Department of Economics, revised Dec 2006.
- Peter Christoffersen & Jeremy Berkowitz & Denis Pelletier, 2008. "Evaluating Value-at-Risk Models with Desk-Level Data," CREATES Research Papers 2009-35, Department of Economics and Business Economics, Aarhus University.
- Rajkumar Janardanan & Xiao Qiao & K. Geert Rouwenhorst, 2019. "On commodity price limits," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(8), pages 946-961, August.
- Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Does sentiment harm market efficiency? An empirical analysis using a betting exchange setting," Working Papers 381, University of Zurich, Department of Business Administration (IBW).
- Jörg Breitung & Malte Knüppel, 2021.
"How far can we forecast? Statistical tests of the predictive content,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 369-392, June.
- Breitung, Jörg & Knüppel, Malte, 2018. "How far can we forecast? Statistical tests of the predictive content," Discussion Papers 07/2018, Deutsche Bundesbank.
- Liu, Hung-Chun & Chiang, Shu-Mei & Cheng, Nick Ying-Pin, 2012. "Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 78-91.
- Vincent Su & Josephine Su, 1975. "An Evaluation of ASA/NBER Business Outlook Survey Forecasts," NBER Chapters, in: Explorations in Economic Research, Volume 2, number 4, pages 588-618, National Bureau of Economic Research, Inc.
- Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008.
"Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?,"
Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
- Allan Timmermann & Graham Elliott & Ivana Komunjer, 2004. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Econometric Society 2004 North American Summer Meetings 601, Econometric Society.
- Graham Elliott & Ivana Komunjer & Allan Timmermann, 2005. "Biases In Macroeconomic Forecasts: Irrationality Or Asymmetric Loss?," CAMA Working Papers 2005-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Sucarrat, Genaro, 2020. "Identification of Volatility Proxies as Expectations of Squared Financial Return," MPRA Paper 101953, University Library of Munich, Germany.
- Long H. Vo, 2017. "Estimating Financial Volatility with High-Frequency Returns," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(2), pages 84-114, October.
- Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.
- Do, Linh Phuong Catherine & Lin, Kuan-Heng & Molnár, Peter, 2016. "Electricity consumption modelling: A case of Germany," Economic Modelling, Elsevier, vol. 55(C), pages 92-101.
- Johannes Bleher & Michael Bleher & Thomas Dimpfl, 2020. "From orders to prices: A stochastic description of the limit order book to forecast intraday returns," Papers 2004.11953, arXiv.org, revised May 2021.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, "undated".
"Evaluating Density Forecasts,"
CARESS Working Papres
97-18, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating Density Forecasts," Center for Financial Institutions Working Papers 97-37, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating density forecasts," Working Papers 97-6, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating Density Forecasts," NBER Technical Working Papers 0215, National Bureau of Economic Research, Inc.
- Chortareas, Georgios & Jiang, Ying & Nankervis, John. C., 2011. "Forecasting exchange rate volatility using high-frequency data: Is the euro different?," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1089-1107, October.
- Carlos DÃaz, 2018.
"Extracting information shocks from the Bank of England inflation density forecasts,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(3), pages 316-326, April.
- Carlos Diaz Vela, 2016. "Extracting the Information Shocks from the Bank of England Inflation Density Forecasts," Discussion Papers in Economics 16/13, Division of Economics, School of Business, University of Leicester.
- Pao‐Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2021.
"Do Fed Forecast Errors Matter?,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 686-712, June.
- Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2015. "Do Fed Forecast Errors Matter?," Wesleyan Economics Working Papers 2015-004, Wesleyan University, Department of Economics.
- Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2016. "Do Fed Forecast Errors Matter?," Working Papers 2016-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2016. "Do Fed forecast errors matter?," CAMA Working Papers 2016-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Tara Sinclair & Pao-Lin Tien & Edward Gamber, 2016. "Do Fed Forecast Errors Matter?," Working Papers 2016-14, The George Washington University, Institute for International Economic Policy, revised Aug 2018.
- Jan Jacobs & Jan-Egbert Sturm, 2009.
"The information content of KOF indicators on Swiss current account data revisions,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(2), pages 161-181.
- Jan Jacobs & Jan-Egbert Sturm, 2008. "The Information Content of KOF Indicators on Swiss Current Account Data Revisions," CESifo Working Paper Series 2370, CESifo.
- Jan P.A.M. Jacobs & Jan-Egbert Sturm, 2008. "The information content of KOF indicators on Swiss current account data revisions," KOF Working papers 08-202, KOF Swiss Economic Institute, ETH Zurich.
- Bulkley, George & Harris, Richard D.F. & Nawosah, Vivekanand, 2015. "Can behavioral biases explain the rejections of the expectation hypothesis of the term structure of interest rates?," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 179-193.
- Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
- LAURENT, Sébastien & VIOLANTE, Francesco, 2012. "Volatility forecasts evaluation and comparison," LIDAM Reprints CORE 2414, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Ericsson, Neil R., 2017.
"How biased are U.S. government forecasts of the federal debt?,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 543-559.
- Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," Working Papers 2017-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," International Finance Discussion Papers 1189, Board of Governors of the Federal Reserve System (U.S.).
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
- Pedersen, Michael, 2019. "Anomalies in macroeconomic prediction errors–evidence from Chilean private forecasters," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1100-1107.
- Sinclair, Tara M. & Joutz, Fred & Stekler, H.O., 2010.
"Can the Fed predict the state of the economy?,"
Economics Letters, Elsevier, vol. 108(1), pages 28-32, July.
- Tara Sinclair & Frederick L. Joutz, 2009. "Can the Fed Predict the State of the Economy?," Working Papers 2008-06, The George Washington University, Institute for International Economic Policy.
- Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009. "Can the Fed Predict the State of the Economy?," Working Papers 2009-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Mar 2010.
- Torben G. ANDERSEN & Tim BOLLERSLEV & Nour MEDDAHI, 2002.
"Correcting The Errors : A Note On Volatility Forecast Evaluation Based On High-Frequency Data And Realized Volatilities,"
Cahiers de recherche
21-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Torben G. Andersen & Tim Bollerslev & Nour Meddahi, 2002. "Correcting the Errors: A Note on Volatility Forecast Evaluation Based on High-Frequency Data and Realized Volatilities," CIRANO Working Papers 2002s-91, CIRANO.
- ANDERSEN, Torben G. & BOLLERSLEV, Tim & MEDDAHI, Nour, 2002. "Correcting the Errors : A Note on Volatility Forecast Evaluation Based on High-Frequency Data and Realized Volatilities," Cahiers de recherche 2002-21, Universite de Montreal, Departement de sciences economiques.
- Korbinian Breitrainer & Atanas Hristov, 2015. "Evaluation of the Eurozone Economic Outlook," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(24), pages 67-73, December.
- Cambara, Leilane de Freitas Rocha & Meurer, Roberto & Lima, Gilberto Tadeu, 2022. "Deviating from full rationality but not from theoretical consistency: The behavior of inflation expectations in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 492-501.
- Francis X. Diebold & Jose A. Lopez, 1995.
"Forecast evaluation and combination,"
Research Paper
9525, Federal Reserve Bank of New York.
- Francis X. Diebold & Jose A. Lopez, 1996. "Forecast Evaluation and Combination," NBER Technical Working Papers 0192, National Bureau of Economic Research, Inc.
- Bleher, Johannes & Dimpfl, Thomas, 2022. "Knitting Multi-Annual High-Frequency Google Trends to Predict Inflation and Consumption," Econometrics and Statistics, Elsevier, vol. 24(C), pages 1-26.
- Magnus Kvåle Helliesen & Håvard Hungnes & Terje Skjerpen, 2022.
"Revisions in the Norwegian National Accounts: accuracy, unbiasedness and efficiency in preliminary figures,"
Empirical Economics, Springer, vol. 62(3), pages 1079-1121, March.
- Magnus Kvåle Helliesen & Håvard Hungnes & Terje Skjerpen, 2020. "Revisions in the Norwegian National Accounts. Accuracy, unbiasedness and efficiency in preliminary figures," Discussion Papers 924, Statistics Norway, Research Department.
- Maria Elvira Mancino & Simona Sanfelici, 2011.
"Covariance Estimation and Dynamic Asset-Allocation under Microstructure Effects via Fourier Methodology,"
Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures, chapter 1, pages 3-32,
Palgrave Macmillan.
- Mancino Maria Elvira & Simona Sanfelici, 2009. "Covariance estimation and dynamic asset allocation under microstructure effects via Fourier methodology," Working Papers - Mathematical Economics 2009-09, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
- Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015.
"Evaluating a vector of the Fed’s forecasts,"
International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
- Tara M. Sinclair & H.O. Stekler & Warren Carnow, 2012. "Evaluating A Vector Of The Fed’S Forecasts," Working Papers 2012-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
- Alexander Foltas & Christian Pierdzioch, 2022.
"Business-cycle reports and the efficiency of macroeconomic forecasts for Germany,"
Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
- Foltas, Alexander & Pierdzioch, Christian, 2020. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Working Papers 22, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Selma Chaker & Nour Meddahi, 2013. "A Distributional Approach to Realized Volatility," Staff Working Papers 13-49, Bank of Canada.
- Malte Knuppel & Fabian Kruger & Marc-Oliver Pohle, 2022.
"Score-based calibration testing for multivariate forecast distributions,"
Papers
2211.16362, arXiv.org, revised Dec 2023.
- Knüppel, Malte & Krüger, Fabian & Pohle, Marc-Oliver, 2022. "Score-based calibration testing for multivariate forecast distributions," Discussion Papers 50/2022, Deutsche Bundesbank.
- George A. Christodoulakis & Emmanuel C. Mamatzakis, 2008. "An assessment of the EU growth forecasts under asymmetric preferences," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 483-492.
- Kumar, Dilip, 2015. "Sudden changes in extreme value volatility estimator: Modeling and forecasting with economic significance analysis," Economic Modelling, Elsevier, vol. 49(C), pages 354-371.
- Christina Ziegler, 2009. "Testing Predicitive Ability of Business Cycle Indicators for the Euro Area," ifo Working Paper Series 69, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Dimitrios I. Vortelinos, 2015. "Out‐of‐sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini‐futures markets," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 58-67, November.
- Malte Knüppel & Guido Schultefrankenfeld, 2012.
"How Informative Are Central Bank Assessments of Macroeconomic Risks?,"
International Journal of Central Banking, International Journal of Central Banking, vol. 8(3), pages 87-139, September.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2011. "How informative are central bank assessments of macroeconomic risks?," Discussion Paper Series 1: Economic Studies 2011,13, Deutsche Bundesbank.
- repec:kap:iaecre:v:14:y:2008:i:1:p:112-124 is not listed on IDEAS
- Jan P. A. M. Jacobs & Simon van Norden, 2010.
"Lessons from the latest data on U.S. productivity,"
Working Papers
11-1, Federal Reserve Bank of Philadelphia.
- Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CAMA Working Papers 2010-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CIRANO Working Papers 2010s-46, CIRANO.
- Pablo Pincheira, 2012. "Are Forecast Combinations Efficient?," Working Papers Central Bank of Chile 661, Central Bank of Chile.
- J. Scott Armstrong & Michael C. Grohman, 1972.
"A Comparative Study of Methods for Long-Range Market Forecasting,"
Management Science, INFORMS, vol. 19(2), pages 211-221, October.
- Armstrong, J. Scott & C., Michael, 1972. "A Comparative Study of Methods for Long-Range Market Forecasting," MPRA Paper 81673, University Library of Munich, Germany.
- JS Armstrong & Michael C. Grohman, 2004. "A Comparative Study of Methods for Long-Range Market Forecasting," General Economics and Teaching 0412010, University Library of Munich, Germany.
- Ericsson, Neil R., 2016.
"Eliciting GDP forecasts from the FOMC’s minutes around the financial crisis,"
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