My bibliography
Save this item
Outline of forecast theory using generalized cost functions
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- 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.
- Massimiliano Marcellino, "undated". "Further Results on MSFE Encompassing," Working Papers 143, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2021.
"High-Frequency Volatility Forecasting of US Housing Markets,"
The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 283-317, February.
- Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2019. "High-Frequency Volatility Forecasting of US Housing Markets," Working Papers 201977, University of Pretoria, Department of Economics.
- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011.
"Asymmetric loss functions and the rationality of expected stock returns,"
International Journal of Forecasting, Elsevier, vol. 27(2), pages 413-437.
- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011. "Asymmetric loss functions and the rationality of expected stock returns," International Journal of Forecasting, Elsevier, vol. 27(2), pages 413-437, April.
- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011. "Asymmetric Loss Functions and the Rationality of Expected Stock Returns," MPRA Paper 47343, University Library of Munich, Germany.
- Christophe Hurlin & Jérémy Leymarie & Antoine Patin, 2018.
"Loss functions for LGD model comparison,"
Working Papers
halshs-01516147, HAL.
- Jérémy Leymarie & Christophe Hurlin & Antoine Patin, 2018. "Loss Functions for LGD Models Comparison," Post-Print hal-01923050, HAL.
- Trino-Manuel Niguez & Javier Perote, 2004.
"Forecasting the density of asset returns,"
STICERD - Econometrics Paper Series
479, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Niguez, Trino-Manuel & Perote, Javier, 2004. "Forecasting the density of asset returns," LSE Research Online Documents on Economics 6845, London School of Economics and Political Science, LSE Library.
- Capistrán Carlos & López Moctezuma Gabriel, 2008. "Experts' Macroeconomics Expectations: An Evaluation of Mexican Short-Run Forecasts," Working Papers 2008-11, Banco de México.
- Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Ottaviani, Marco & Sorensen, Peter Norman, 2006.
"The strategy of professional forecasting,"
Journal of Financial Economics, Elsevier, vol. 81(2), pages 441-466, August.
- Marco Ottaviani & Peter Norman Sorensen, 2001. "The Strategy of Professional Forecasting," Discussion Papers 01-09, University of Copenhagen. Department of Economics.
- Marco Ottaviani & Peter Norman Sørensen, 2004. "The Strategy of Professional Forecasting," FRU Working Papers 2004/05, University of Copenhagen. Department of Economics. Finance Research Unit.
- Cipullo, Davide & Reslow, André, 2022.
"Electoral cycles in macroeconomic forecasts,"
Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 307-340.
- Davide Cipullo & André Reslow, 2021. "Electoral Cycles in Macroeconomic Forecasts," CESifo Working Paper Series 9088, CESifo.
- Cipullo, Davide & Reslow, André, 2022. "Electoral Cycles in Macroeconomic Forecasts," Working Paper Series 415, Sveriges Riksbank (Central Bank of Sweden).
- Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2016. "Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data," Energy Economics, Elsevier, vol. 56(C), pages 117-133.
- Timmermann, Allan & Elliott, Graham & Komunjer, Ivana, 2003. "Estimating Loss Function Parameters," CEPR Discussion Papers 3821, C.E.P.R. Discussion Papers.
- Mawuli Segnon & Mark Trede, 2018.
"Forecasting market risk of portfolios: copula-Markov switching multifractal approach,"
The European Journal of Finance, Taylor & Francis Journals, vol. 24(14), pages 1123-1143, September.
- Mawuli Segnon & Mark Trede, 2017. "Forecasting Market Risk of Portfolios: Copula-Markov Switching Multifractal Approach," CQE Working Papers 6617, Center for Quantitative Economics (CQE), University of Muenster.
- Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
- Norman R. Swanson & Weiqi Xiong, 2018.
"Big data analytics in economics: What have we learned so far, and where should we go from here?,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 695-746, August.
- Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
- Alp, Tansel & Demetrescu, Matei, 2010. "Joint forecasts of Dow Jones stocks under general multivariate loss function," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2360-2371, November.
- Vasconcelos de Deus, Joseph David Barroso & de Mendonça, Helder Ferreira, 2017. "Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil," Economic Systems, Elsevier, vol. 41(3), pages 408-419.
- Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Mishra, Santosh, 2004. "Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood," International Journal of Forecasting, Elsevier, vol. 20(4), pages 629-645.
- Joanna Bruzda, 2020. "Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 309-336, March.
- Andrew Martinez, 2017. "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series) 1717, Federal Reserve Bank of Cleveland.
- Corradi, Valentina & Swanson, Norman R., 2002.
"A consistent test for nonlinear out of sample predictive accuracy,"
Journal of Econometrics, Elsevier, vol. 110(2), pages 353-381, October.
- Corradi, V. & Swanson, N.R., 2000. "A Consistent Test for Nonlinear Out of Sample Predictive Accuracy," Discussion Papers 0012, University of Exeter, Department of Economics.
- Artur Tarassow & Sven Schreiber, 2018. "FEP - the forecast evaluation package for gretl," IMK Working Paper 190-2018, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
- Korbinian Dress & Stefan Lessmann & Hans-Jorg von Mettenheim, 2017. "Residual Value Forecasting Using Asymmetric Cost Functions," Papers 1707.02736, arXiv.org.
- Adam Gorajek, 2019. "The Well-meaning Economist," RBA Research Discussion Papers rdp2019-08, Reserve Bank of Australia.
- Valentina Corradi & Norman R. Swanson, 2007.
"Nonparametric Bootstrap Procedures For Predictive Inference Based On Recursive Estimation Schemes,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(1), pages 67-109, February.
- Norman Swanson & Valentina Corradi, 2006. "Nonparametric Bootstrap Procedures for Predictive Inference Based on Recursive Estimation Schemes," Departmental Working Papers 200618, Rutgers University, Department of Economics.
- Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019.
"Predictive regressions under asymmetric loss: Factor augmentation and model selection,"
International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
- Demetrescu, Matei & Hacioglu Hoke, Sinem, 2018. "Predictive regressions under asymmetric loss: factor augmentation and model selection," Bank of England working papers 723, Bank of England.
- Mamatzakis, E. & Koutsomanoli-Filippaki, A., 2014. "Testing the rationality of DOE's energy price forecasts under asymmetric loss preferences," Energy Policy, Elsevier, vol. 68(C), pages 567-575.
- Andrew Patton & Allan Timmermann, 2012.
"Forecast Rationality Tests Based on Multi-Horizon Bounds,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17.
- Andrew J. Patton & Allan Timmermann, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17, June.
- Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
- Yang Yang & Tae-Hwy Lee, 2004. "Bagging Binary Predictors for Time Series," Econometric Society 2004 Far Eastern Meetings 512, Econometric Society.
- Clements, Michael P. & Franses, Philip Hans & Swanson, Norman R., 2004.
"Forecasting economic and financial time-series with non-linear models,"
International Journal of Forecasting, Elsevier, vol. 20(2), pages 169-183.
- Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
- Mawuli Segnon & Thomas Lux & Rangan Gupta, 2015.
"Modeling and Forecasting Carbon Dioxide Emission Allowance Spot Price Volatility: Multifractal vs. GARCH-Type Volatility Models,"
Working Papers
201550, University of Pretoria, Department of Economics.
- Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2015. "Modeling and Forecasting Carbon Dioxide Emission Allowance Spot Price Volatility: Multifractal vs. GARCH-type Volatility Models," FinMaP-Working Papers 46, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
- Tsyplakov, Alexander, 2013. "Evaluation of Probabilistic Forecasts: Proper Scoring Rules and Moments," MPRA Paper 45186, University Library of Munich, Germany.
- Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2010.
"Evaluating German business cycle forecasts under an asymmetric loss function,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(1), pages 1-18.
- Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function," Macroeconomics and Finance Series 200905, University of Hamburg, Department of Socioeconomics.
- Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German business cycle forecasts under an asymmetric loss function," KOF Working papers 09-237, KOF Swiss Economic Institute, ETH Zurich.
- Valentina Corradi & Norman Swanson, 2004. "Bootstrap Procedures for Recursive Estimation Schemes With Applications to Forecast Model Selection," Departmental Working Papers 200418, Rutgers University, Department of Economics.
- 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.
- 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.
- Capistrán Carlos, 2006. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Working Papers 2006-14, Banco de México.
- 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.
- Timmermann, Allan & Granger, Clive W. J., 2004.
"Efficient market hypothesis and forecasting,"
International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
- Timmermann, Allan & Granger, Clive, 2002. "Efficient Market Hypothesis and Forecasting," CEPR Discussion Papers 3593, C.E.P.R. Discussion Papers.
- Jin, Sainan & Corradi, Valentina & Swanson, Norman R., 2017.
"Robust Forecast Comparison,"
Econometric Theory, Cambridge University Press, vol. 33(6), pages 1306-1351, December.
- Sainan Jin & Valentina Corradi & Norman Swanson, 2015. "Robust Forecast Comparison," Departmental Working Papers 201502, Rutgers University, Department of Economics.
- Georgios Tsiotas, 2022. "Regression Analysis Using Asymmetric Losses: A Bayesian Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 311-327, June.
- Pina, Álvaro M. & Venes, Nuno M., 2011.
"The political economy of EDP fiscal forecasts: An empirical assessment,"
European Journal of Political Economy, Elsevier, vol. 27(3), pages 534-546, September.
- Álvaro Pina & Nuno Venes, 2007. "The Political Economy of EDP Fiscal Forecasts: An Empirical Assessment," Working Papers Department of Economics 2007/23, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
- Timmermann, Allan & Patton, Andrew, 2003.
"Properties of Optimal Forecasts,"
CEPR Discussion Papers
4037, C.E.P.R. Discussion Papers.
- Allan Timmermann & Andrew J. Patton, 2004. "Properties of Optimal Forecasts," Econometric Society 2004 North American Winter Meetings 234, Econometric Society.
- Matei Demetrescu, 2007. "Optimal forecast intervals under asymmetric loss," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 227-238.
- Michael J. Artis & Marco Buti, 2000.
"‘Close‐to‐Balance or in Surplus’: A Policy‐Maker's Guide to the Implementation of the Stability and Growth Pact,"
Journal of Common Market Studies, Wiley Blackwell, vol. 38(4), pages 563-591, November.
- Michael J. Artis & Marco Buti, 2000. "Close to Balance or in Surplus. A Policy Maker’s Guide to the Implementation of the Stability and Growth Pact," EUI-RSCAS Working Papers 28, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
- Artis, Michael & Buti, Marco, 2000. ""Close to Balance or in Surplus": A Policy Maker's Guide to the Implementation of the Stability and Growth Pact," CEPR Discussion Papers 2515, C.E.P.R. Discussion Papers.
- Joseph David Barroso Vasconcelos de Deus & Helder Ferreira de Mendonça, 2015. "Empirical evidence on fiscal forecasting in Eurozone countries," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(5), pages 838-860, October.
- Timmermann, Allan & Qu, Ritong & Zhu, Yinchu, 2019. "Do Any Economists Have Superior Forecasting Skills?," CEPR Discussion Papers 14112, C.E.P.R. Discussion Papers.
- Heike Hans-Dieter & Demetrescu Matei, 2006. "Loss Reduction in Point Estimation Problems," Stochastics and Quality Control, De Gruyter, vol. 21(2), pages 209-217, January.
- Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.
- Ali Al‐Nowaihi & Livio Stracca, 2003. "Behavioural Central Bank Loss Functions, Skewed Risks and Certainty Equivalence," Manchester School, University of Manchester, vol. 71(s1), pages 21-38, September.
- Capistrán Carlos, 2007. "Optimality Tests for Multi-Horizon Forecasts," Working Papers 2007-14, Banco de México.
- Ruhnau, Oliver & Hennig, Patrick & Madlener, Reinhard, 2020. "Economic implications of forecasting electricity generation from variable renewable energy sources," Renewable Energy, Elsevier, vol. 161(C), pages 1318-1327.
- Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
- Patton, Andrew J. & Timmermann, Allan, 2007. "Properties of optimal forecasts under asymmetric loss and nonlinearity," Journal of Econometrics, Elsevier, vol. 140(2), pages 884-918, October.
- Elliott, Graham & Timmermann, Allan, 2004.
"Optimal forecast combinations under general loss functions and forecast error distributions,"
Journal of Econometrics, Elsevier, vol. 122(1), pages 47-79, September.
- Elliott, Graham & Timmermann, Allan, 2002. "Optimal Forecast Combination Under General Loss Functions and Forecast Error Distributions," University of California at San Diego, Economics Working Paper Series qt15r9t2q2, Department of Economics, UC San Diego.
- Nazaria Solferino & Robert Waldmann, 2010.
"Predicting the signs of forecast errors,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 476-485.
- Nazaria Solferino & Robert J. Waldmann, 2008. "Predicting the Signs of Forecast Errors," CEIS Research Paper 135, Tor Vergata University, CEIS, revised 24 Nov 2008.
- Francisco Blasques & Christian Francq & Sébastien Laurent, 2020. "A New Class of Robust Observation-Driven Models," Tinbergen Institute Discussion Papers 20-073/III, Tinbergen Institute.
- George Christodoulakis, 2012. "Conditions for rational investment short-termism," Annals of Finance, Springer, vol. 8(1), pages 15-29, February.
- Valentina Corradi & Norman Swanson, 2003. "The Block Bootstrap for Parameter Estimation Error In Recursive Estimation Schemes, With Applications to Predictive Evaluation," Departmental Working Papers 200313, Rutgers University, Department of Economics.
- Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.
- Li, Jia & Patton, Andrew J., 2018.
"Asymptotic inference about predictive accuracy using high frequency data,"
Journal of Econometrics, Elsevier, vol. 203(2), pages 223-240.
- Jia Li & Andrew J. Patton, 2013. "Asymptotic Inference about Predictive Accuracy Using High Frequency Data," Working Papers 13-27, Duke University, Department of Economics.
- Dress, Korbinian & Lessmann, Stefan & von Mettenheim, Hans-Jörg, 2018. "Residual value forecasting using asymmetric cost functions," International Journal of Forecasting, Elsevier, vol. 34(4), pages 551-565.
- Demetrescu, Matei, 2006. "An extension of the Gauss-Newton algorithm for estimation under asymmetric loss," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 379-401, January.
- Matei Demetrescu & Christoph Roling & Anna Titova, 2021. "Reevaluating the prudence of economic forecasts in the EU: The role of instrument persistence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 151-161, January.
- Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
- McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
- Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
- Joanna Bruzda, 2016. "Quantile forecasting in operational planning and inventory management – an initial empirical verification," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 5-20.
- Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.
- Andrew J. Patton & Allan Timmermann, 2005.
"Testable Implications of Forecast Optimality,"
STICERD - Econometrics Paper Series
485, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Patton, Andrew J. & Timmermann, Allan, 2005. "Testable implications of forecast optimality," LSE Research Online Documents on Economics 6834, London School of Economics and Political Science, LSE Library.
- Lee, Tae-Hwy & Yang, Yang, 2006. "Bagging binary and quantile predictors for time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 465-497.
- Pedro Henrique Melo Albuquerque & Yaohao Peng & João Pedro Fontoura da Silva, 2022. "Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1701-1724, December.
- Yen, Yu-Min & Yen, Tso-Jung, 2021. "Testing forecast accuracy of expectiles and quantiles with the extremal consistent loss functions," International Journal of Forecasting, Elsevier, vol. 37(2), pages 733-758.
- Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Yoldas, Emre, 2007. "Optimality of the RiskMetrics VaR model," Finance Research Letters, Elsevier, vol. 4(3), pages 137-145, September.
- de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019. "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 234-244.