M1 and M2 indicators- new proposed measures for the global accuracy of forecast intervals
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Henning Fischer & Marta García-Bárzana & Peter Tillmann & Peter Winker, 2014.
"Evaluating FOMC forecast ranges: an interval data approach,"
Empirical Economics, Springer, vol. 47(1), pages 365-388, August.
- Henning Fischer & Marta García-Bárzana & Peter Tillmann & Peter Winker, 2012. "Evaluating FOMC forecast ranges: an interval data approach," MAGKS Papers on Economics 201213, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Yar, Mohammed & Chatfield, Chris, 1990. "Prediction intervals for the Holt-Winters forecasting procedure," International Journal of Forecasting, Elsevier, vol. 6(1), pages 127-137.
- Chatfield, Chris, 1993. "Calculating Interval Forecasts: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 143-144, April.
- Taylor, James W. & Bunn, Derek W., 1999. "Investigating improvements in the accuracy of prediction intervals for combinations of forecasts: A simulation study," International Journal of Forecasting, Elsevier, vol. 15(3), pages 325-339, July.
- Chatfield, Chris, 1993. "Calculating Interval Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 121-135, April.
- Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
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.- repec:ntu:ntugeo:vol2-iss1-14-054 is not listed on IDEAS
- Kim, Jae H. & Wong, Kevin & Athanasopoulos, George & Liu, Shen, 2011.
"Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals,"
International Journal of Forecasting, Elsevier, vol. 27(3), pages 887-901, July.
- Kim, Jae H. & Wong, Kevin & Athanasopoulos, George & Liu, Shen, 2011. "Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals," International Journal of Forecasting, Elsevier, vol. 27(3), pages 887-901.
- Jae H. Kim & Haiyang Song & Kevin Wong & George Athanasopoulos & Shen Liu, 2008. "Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals," Monash Econometrics and Business Statistics Working Papers 11/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.
- De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
- Lee, Yun Shin & Scholtes, Stefan, 2014. "Empirical prediction intervals revisited," International Journal of Forecasting, Elsevier, vol. 30(2), pages 217-234.
- 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.
- Li, Yushu & Andersson, Jonas, 2014. "A Likelihood Ratio and Markov Chain Based Method to Evaluate Density Forecasting," Discussion Papers 2014/12, Norwegian School of Economics, Department of Business and Management Science.
- Roberto Buizza & James W. Taylor, 2004. "A comparison of temperature density forecasts from GARCH and atmospheric models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(5), pages 337-355.
- Yushu Li & Jonas Andersson, 2020. "A likelihood ratio and Markov chain‐based method to evaluate density forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 47-55, January.
- James W. Taylor & Derek W. Bunn, 1999. "A Quantile Regression Approach to Generating Prediction Intervals," Management Science, INFORMS, vol. 45(2), pages 225-237, February.
- Dick van Dijk & Philip Hans Franses & Michael P. Clements & Jeremy Smith, 2003.
"On SETAR non-linearity and forecasting,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 359-375.
- Clements, M.P. & Franses, Ph.H.B.F. & Smith, J., 1999. "On SETAR non- linearity and forecasting," Econometric Institute Research Papers EI 9914-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chen, Yi-Hsuan & Tu, Anthony H., 2013. "Estimating hedged portfolio value-at-risk using the conditional copula: An illustration of model risk," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 514-528.
- Polanski, Arnold & Stoja, Evarist, 2012. "Efficient evaluation of multidimensional time-varying density forecasts, with applications to risk management," International Journal of Forecasting, Elsevier, vol. 28(2), pages 343-352.
- Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998.
"Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange,"
New York University, Leonard N. Stern School Finance Department Working Paper Seires
98-079, New York University, Leonard N. Stern School of Business-.
- Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998. "Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange," Center for Financial Institutions Working Papers 99-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998. "Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange," NBER Working Papers 6845, National Bureau of Economic Research, Inc.
- Polanski, Arnold & Stoja, Evarist & Zhang, Ren, 2013. "Multidimensional risk and risk dependence," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3286-3294.
- Amélie Charles & Olivier Darné & Jae H. Kim, 2022.
"Stock return predictability: Evaluation based on interval forecasts,"
Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 363-385, April.
- Amélie Charles & Olivier Darné & Jae Kim, 2022. "Stock Return Predictability: Evaluation based on interval forecasts," Post-Print hal-03656310, HAL.
- 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," Working Papers 97-6, Federal Reserve Bank of Philadelphia.
- 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," NBER Technical Working Papers 0215, National Bureau of Economic Research, Inc.
- 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.
- Ke Yang & Langnan Chen & Fengping Tian, 2015. "Realized Volatility Forecast of Stock Index Under Structural Breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(1), pages 57-82, January.
- Bratu, Mihaela, 2013. "The Assessment And Improvement Of The Accuracy For The Forecast Intervals," Working Papers of Macroeconomic Modelling Seminar 132602, Institute for Economic Forecasting.
- Snyder, Ralph D. & Koehler, Anne B. & Hyndman, Rob J. & Ord, J. Keith, 2004. "Exponential smoothing models: Means and variances for lead-time demand," European Journal of Operational Research, Elsevier, vol. 158(2), pages 444-455, October.
- Maheu, John M. & McCurdy, Thomas H., 2000.
"Volatility dynamics under duration-dependent mixing,"
Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 345-372, November.
- John M. Maheu & Tom McCurdy, 2000. "Volatility Dynamics Under Duration-Dependent Mixing," Econometric Society World Congress 2000 Contributed Papers 1427, Econometric Society.
More about this item
Keywords
forecast intervals; accuracy; historical errors method; RMSE; M1 indicator; M2 indicator;All these keywords.
JEL classification:
- E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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:ntu:ntcmss:vol2-iss1-14-054. 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: Stefan Ciucu (email available below). General contact details of provider: https://edirc.repec.org/data/feuntro.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.