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Advances in Forecasting under Instability. (2013). Rossi, Barbara.
In: Handbook of Economic Forecasting.
RePEc:eee:ecofch:2-1203.

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  2. Forecasting inflation using sentiment. (2024). Uhl, Matthias W ; Eugster, Patrick.
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  3. Optimal forecasts in the presence of discrete structural breaks under long memory. (2023). Sibbertsen, Philipp ; Mboya, Mwasi Paza.
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  4. Housing price uncertainty and housing prices in the UK in a time-varying environment. (2023). Balcilar, Mehmet ; Wohar, Mark E ; Bekun, Festus Victor ; Uzuner, Gizem.
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  5. Dynamic linear models with adaptive discounting. (2023). Pavlidis, Efthymios G ; Yusupova, Alisa.
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  7. Penalized time-varying model averaging. (2023). Hong, Yongmiao ; Zhang, Xinyu ; Wang, Shouyang ; Sun, Yuying.
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  8. Measuring stability and structural breaks: Applications in social sciences. (2023). Loginova, Daria ; Mann, Stefan.
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  10. Optimal Forecasts in the Presence of Discrete Structural Breaks under Long Memory. (2022). Sibbertsen, Philipp ; Mboya, Mwasi.
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  14. A procedure for upgrading linear-convex combination forecasts with an application to volatility prediction. (2022). Wilfling, Bernd ; Monschang, Verena.
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  15. Forecasting Under Structural Breaks Using Improved Weighted Estimation. (2022). Parsaeian, Shahnaz ; Ullah, Aman ; Lee, Taehwy.
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  19. An approach to increasing forecast?combination accuracy through VAR error modeling. (2021). Wilfling, Bernd ; Weigt, Till .
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  26. Conditional Rotation Between Forecasting Models. (2021). Zhu, Yinchu ; Timmermann, Allan.
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  32. Time-Varying Influence of Household Debt on Inequality in United Kingdom. (2020). Lau, Chi Keung ; GUPTA, RANGAN ; Gabauer, David ; Berisha, Edmond.
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  34. Time-Varying Spillover of US Trade War on the Growth of Emerging Economies. (2020). GUPTA, RANGAN ; Ramabulana, Khuliso ; Gabauer, David ; Cepni, Oguzhan.
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  35. Bayesian dynamic variable selection in high dimensions. (2020). Korobilis, Dimitris ; Koop, Gary.
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  36. Bagging Weak Predictors. (2020). Wei, Wei ; Lukas, Manuel ; Hillebrand, Eric.
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  37. Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data. (2020). Siliverstovs, Boriss ; Wochner, Daniel.
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  38. Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions. (2020). Wochner, Daniel.
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  39. Bayesian dynamic variable selection in high dimensions. (2020). Korobilis, Dimitris ; Koop, Gary.
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  40. On the performance of volatility-managed portfolios. (2020). Yan, Xuemin ; Wang, Feifei ; Odoherty, Michael S ; Cederburg, Scott.
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  41. Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile. (2020). Pincheira, Pablo ; Neumann, Federico ; Pincheira-Brown, Pablo.
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  42. High-dimensional predictive regression in the presence of cointegration. (2020). Anderson, Heather ; Yao, Wenying ; Seo, Myung Hwan ; Koo, Bonsoo.
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  43. VAR-based Granger-causality test in the presence of instabilities. (2019). Rossi, Barbara ; Wang, Yiru.
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  44. Vector autoregressive-based Granger causality test in the presence of instabilities. (2019). Wang, Yiru ; Rossi, Barbara.
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  45. Off to the Races: A Comparison of Machine Learning and Alternative Data for Predicting Economic Indicators. (2019). Batch, Andrea ; Driessen, Alexander ; Hood, Kyle K ; Dunn, Abe ; Chen, Jeffrey C.
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  46. Predictive, finite-sample model choice for time series under stationarity and non-stationarity. (2019). Fryzlewicz, Piotr ; Preuss, Philip ; Kley, Tobias.
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  47. Predicting relative forecasting performance: An empirical investigation. (2019). Sekhposyan, Tatevik ; Granziera, Eleonora.
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  50. Does Business Confidence Matter for Investment?. (2019). Khan, Hashmat ; Upadhayaya, Santosh.
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  51. Time-varying cointegration and the UK great ratios. (2019). Price, Simon ; Petrova, Katerina ; Millard, Stephen ; Kapetanios, George.
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  52. VAR-Based Granger-Causality Test in the Presence of Instabilities. (2019). Rossi, Barbara ; Wang, Yiru.
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  53. Adaptive Dynamic Model Averaging with an Application to House Price Forecasting. (2019). Pavlidis, Efthymios ; Yusupova, Alisa .
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  54. Boosting High Dimensional Predictive Regressions with Time Varying Parameters. (2019). Ng, Serena ; Yousuf, Kashif.
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  59. Time varying cointegration and the UK great ratios. (2018). Price, Simon ; Millard, Stephen ; Petrova, Katerina ; Kapetanios, George.
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  66. A UK financial conditions index using targeted data reduction: forecasting and structural identification. (2017). Young, Garry ; Price, SG ; Kapetanios, G.
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  74. Rolling window selection for out-of-sample forecasting with time-varying parameters. (2016). Rossi, Barbara ; Inoue, Atsushi ; Jin, LU.
    In: Economics Working Papers.
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  75. Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks. (2016). Hännikäinen, Jari ; Hannikainen, Jari.
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  76. When does the yield curve contain predictive power? Evidence from a data-rich environment. (2016). Hännikäinen, Jari ; Hannikainen, Jari.
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  77. In-Sample Inference and Forecasting in Misspecified Factor Models. (2016). Rossi, Barbara ; Carrasco, Marine.
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  80. Evaluation of Exchange Rate Point and Density Forecasts: an application to Brazil. (2016). Gaglianone, Wagner ; Terra, Gabriel Jaqueline .
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  81. Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads. (2015). Hannikainen, Jari .
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  84. Comment. (2015). Hansen, Peter ; Timmermann, Allan.
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  85. Selection of an estimation window in the presence of data revisions and recent structural breaks. (2015). Hännikäinen, Jari ; Hannikainen, Jari.
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  86. Forecasting and model averaging with structural breaks. (2015). Yin, Anwen.
    In: ISU General Staff Papers.
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  87. Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads. (2015). Hännikäinen, Jari ; Hannikainen, Jari.
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  88. EuroMInd-C: A disaggregate monthly indicator of economic activity for the Euro area and member countries. (2015). Proietti, Tommaso ; Marcellino, Massimiliano ; Grassi, Stefano ; Mazzi, Gian Luigi ; Frale, Cecilia .
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  89. Comment. (2014). Rossi, Barbara.
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  90. Multi-step forecasting in the presence of breaks. (2014). Hännikäinen, Jari ; Hannikainen, Jari.
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  91. Window Selection for Out-of-Sample Forecasting with Time-Varying Parameters. (2014). Rossi, Barbara ; Inoue, Atsushi ; Jin, LU.
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  92. Do DSGE Models Forecast More Accurately Out-of-Sample than VAR Models?. (2013). Rossi, Barbara ; Kisacikoglu, Burcin ; Gürkaynak, Refet ; Gurkaynak, Refet S..
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References

References cited by this document

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Cocites

Documents in RePEc which have cited the same bibliography

  1. Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?. (2015). Mogliani, Matteo ; Bec, Frédérique.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:4:p:1021-1042.

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  2. Sticky prices or economically-linked economies: The case of forecasting the Chinese stock market. (2014). Wohar, Mark ; Vivian, Andrew ; Jordan, Steven J..
    In: Journal of International Money and Finance.
    RePEc:eee:jimfin:v:41:y:2014:i:c:p:95-109.

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  3. Is there an optimal forecast combination?. (2014). hsiao, cheng ; Wan, Shui Ki .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:178:y:2014:i:p2:p:294-309.

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  4. Mining Big Data Using Parsimonious Factor and Shrinkage Methods. (2013). Swanson, Norman ; Kim, Hyun Hak.
    In: Departmental Working Papers.
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  5. El sistema de predicción desagregada: Una evaluación de las proyecciones de inflación 2006-2011. (2013). Barrera-Chaupis, Carlos.
    In: Working Papers.
    RePEc:rbp:wpaper:2013-009.

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  6. Does housing drive state-level job growth? Building permits and consumer expectations forecast a state’s economic activity. (2013). Strauss, Jack.
    In: Journal of Urban Economics.
    RePEc:eee:juecon:v:73:y:2013:i:1:p:77-93.

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  7. Adaptive forecasting of exchange rates with panel data. (2013). Moura, Guilherme ; Morales-Arias, Leonardo .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:29:y:2013:i:3:p:493-509.

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  8. Combining expert forecasts: Can anything beat the simple average?. (2013). Meyler, Aidan ; Kenny, Geoff ; Genre, Veronique ; Timmermann, Allan.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:29:y:2013:i:1:p:108-121.

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  9. Nowcasting French GDP in Real-Time from Survey Opinions : Information or Forecast Combinations ?. (2013). Mogliani, Matteo ; Bec, Frédérique.
    In: Working Papers.
    RePEc:crs:wpaper:2013-21.

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  10. Forecasting with Many Models: Model Confidence Sets and Forecast Combination. (2013). Samuels, Jon D. ; Sekkel, Rodrigo.
    In: Staff Working Papers.
    RePEc:bca:bocawp:13-11.

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  11. Volatility Forecast Combinations using Asymmetric Loss Functions. (2012). Kourouyiannis, Constantinos ; Kourtellos, Andros ; Andreou, Elena.
    In: University of Cyprus Working Papers in Economics.
    RePEc:ucy:cypeua:07-2012.

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  12. Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program. (2012). Hayashi, Masayoshi.
    In: CIRJE F-Series.
    RePEc:tky:fseres:2012cf846.

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  13. Real-time forecasting in a data-rich environment. (2012). Liebermann, Joëlle.
    In: MPRA Paper.
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  14. A Comparison of Mixed Frequency Approaches for Modelling Euro Area Macroeconomic Variables. (2012). Marcellino, Massimiliano ; Foroni, Claudia.
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  15. Forecasting the Prices and Rents for Flats in Large German Cities. (2012). Kholodilin, Konstantin ; Mense, Andreas.
    In: Discussion Papers of DIW Berlin.
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  16. Are Forecast Combinations Efficient?. (2012). Pincheira, Pablo.
    In: Working Papers Central Bank of Chile.
    RePEc:chb:bcchwp:661.

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  17. Real-time forecasting in a data-rich environment. (2012). Liebermann, Joëlle.
    In: Research Technical Papers.
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  18. Short-term forecasting of quarterly gross domestic product growth. (2012). Liebermann, Joëlle.
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  19. Out-of-Sample Equity Premium Predictability in South Africa: Evidence from a Large Number of Predictors. (2011). Uwilingiye, Josine ; GUPTA, RANGAN ; Modise, Mampho P..
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  20. Evaluating density forecasts: model combination strategies versus the RBNZ. (2011). Thorsrud, Leif ; McDonald, Chris .
    In: Reserve Bank of New Zealand Discussion Paper Series.
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  21. Combining Survey Forecasts and Time Series Models: The Case of the Euribor. (2011). Pohlmeier, Winfried ; Mokinski, Frieder ; Krueger, Fabian .
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  22. Combination of long term and short term forecasts, with application to tourism demand forecasting. (2011). Atiya, Amir F. ; Andrawis, Robert R. ; El-Shishiny, Hisham .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:27:y::i:3:p:870-886.

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  23. Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition. (2011). Atiya, Amir F. ; Andrawis, Robert R. ; El-Shishiny, Hisham .
    In: International Journal of Forecasting.
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  24. Advances in Forecasting Under Instability. (2011). Rossi, Barbara.
    In: Working Papers.
    RePEc:duk:dukeec:11-20.

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  25. Nowcasting GDP in Real-Time: A Density Combination Approach. (2011). Thorsrud, Leif ; Jore, Anne Sofie ; Aastveit, Knut Are ; Gerdrup, Karsten R..
    In: Working Papers.
    RePEc:bny:wpaper:0003.

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  26. Adaptive Forecasting of Exchange Rates with Panel Data. (2010). Dross, Alexander ; Morales-Arias, Leonardo .
    In: Research Paper Series.
    RePEc:uts:rpaper:285.

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  27. Should macroeconomic forecasters use daily financial data and how?. (2010). Kourtellos, Andros ; Andreou, Elena ; Ghysels, Eric.
    In: University of Cyprus Working Papers in Economics.
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  28. Should Macroeconomic Forecasters Use Daily Financial Data and How?. (2010). Kourtellos, Andros ; Andreou, Elena ; Ghysels, Eric.
    In: Working Paper series.
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  29. Averaging forecasts from VARs with uncertain instabilities. (2010). McCracken, Michael ; Clark, Todd.
    In: Journal of Applied Econometrics.
    RePEc:jae:japmet:v:25:y:2010:i:1:p:5-29.

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  30. Stock return predictability and dividend-price ratio: a nonlinear approach. (2010). Wohar, Mark ; McMillan, David G..
    In: International Journal of Finance & Economics.
    RePEc:ijf:ijfiec:v:15:y:2010:i:4:p:351-365.

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  31. Real-time forecast averaging with ALFRED. (2010). McCracken, Michael ; Banternghansa, Chanont .
    In: Working Papers.
    RePEc:fip:fedlwp:2010-033.

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  32. Does forecast combination improve Norges Bank inflation forecasts?. (2010). Thorsrud, Leif ; Smith, Christie ; Jore, Anne Sofie ; Bjørnland, Hilde ; Bjornland, Hilde C. ; Gerdrup, Karsten R..
    In: Working Papers.
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  33. Forecast Combinations. (2010). Timmermann, Allan ; Capistrán, Carlos ; Aiolfi, Marco .
    In: Working Papers.
    RePEc:bdm:wpaper:2010-04.

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  34. Forecast Combinations. (2010). Timmermann, Allan ; Capistrán, Carlos ; Aiolfi, Marco .
    In: CREATES Research Papers.
    RePEc:aah:create:2010-21.

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  35. Differences in housing price forecastability across US states. (2009). Strauss, Jack ; Rapach, David E..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:25:y:2009:i:2:p:351-372.

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  36. Forecasts of US short-term interest rates: A flexible forecast combination approach. (2009). Timmermann, Allan ; Guidolin, Massimo.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:150:y:2009:i:2:p:297-311.

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  37. Flexible shrinkage in portfolio selection. (2009). Golosnoy, Vasyl ; Okhrin, Yarema.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:33:y:2009:i:2:p:317-328.

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  38. Forecasting Exchange Rate Volatility: The Superior Performance of Conditional Combinations of Time Series and Option Implied Forecasts. (2009). Capistrán, Carlos ; Benavides, Guillermo .
    In: Working Papers.
    RePEc:bdm:wpaper:2009-01.

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  39. Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data. (2008). Nikolsko-Rzhevskyy, Alex.
    In: MPRA Paper.
    RePEc:pra:mprapa:11352.

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  40. Averaging forecasts from VARs with uncertain instabilities. (2008). McCracken, Michael ; Clark, Todd.
    In: Working Papers.
    RePEc:fip:fedlwp:2008-030.

    Full description at Econpapers || Download paper

  41. Semiparametric Approaches to the Prediction of Conditional Correlation Matrices in Finance. (2007). Golosnoy, Vasyl ; Herwartz, Helmut.
    In: Economics Working Papers.
    RePEc:zbw:cauewp:5903.

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  42. Predicting the term structure of interest rates incorporating parameter uncertainty, model uncertainty and macroeconomic information. (2007). van Dijk, Dick ; Ravazzolo, Francesco ; De Pooter, Michiel.
    In: MPRA Paper.
    RePEc:pra:mprapa:2512.

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  43. Forecasting real housing price growth in the Eighth District states. (2007). Strauss, Jack ; Rapach, David E..
    In: Regional Economic Development.
    RePEc:fip:fedlrd:y:2007:i:nov:p:33-42:n:v.3no.2.

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  44. Online forecast combinations of distributions: Worst case bounds. (2007). Sancetta, Alessio.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:141:y:2007:i:2:p:621-651.

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  45. Online Forecast Combination for Dependent Heterogeneous Data. (2007). Sancetta, Alessio.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:0718.

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  46. Averaging forecasts from VARs with uncertain instabilities. (2006). McCracken, Michael ; Clark, Todd.
    In: Research Working Paper.
    RePEc:fip:fedkrw:rwp06-12.

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  47. Forecasting employment growth in Missouri with many potentially relevant predictors: an analysis of forecast combining methods. (2005). Strauss, Jack ; Rapach, David E..
    In: Regional Economic Development.
    RePEc:fip:fedlrd:y:2005:i:nov:p:97-112:n:v.1no.1.

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  48. Forecasting Time Series Subject to Multiple Structural Breaks. (2004). Timmermann, Allan ; Pettenuzzo, Davide ; Pesaran, M.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp1196.

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  49. Forecasting Time Series Subject to Multiple Structural Breaks. (2004). Timmermann, Allan ; Pettenuzzo, Davide ; Pesaran, M.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_1237.

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  50. ‘Forecasting Time Series Subject to Multiple Structural Breaks’. (2004). Timmermann, Allan ; Pettenuzzo, Davide ; Pesaran, M.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:0433.

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