Michael McCracken : Citation Profile

Are you Michael McCracken?

Federal Reserve Bank of St. Louis

20

H index

30

i10 index

3096

Citations

RESEARCH PRODUCTION:

46

Articles

71

Papers

5

Chapters

RESEARCH ACTIVITY:

   26 years (1997 - 2023). See details.
   Cites by year: 119
   Journals where Michael McCracken has often published
   Relations with other researchers
   Recent citing documents: 161.    Total self citations: 49 (1.56 %)

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   Permalink: http://citec.repec.org/pmc81
   Updated: 2024-04-18    RAS profile: 2023-08-11    
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Relations with other researchers

Works with:

Owyang, Michael (5)

Ng, Serena (3)

Sekhposyan, Tatevik (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Michael McCracken.

Is cited by:

GUPTA, RANGAN (86)

Swanson, Norman (84)

Rossi, Barbara (81)

Clark, Todd (73)

Pincheira, Pablo (61)

Marcellino, Massimiliano (56)

Clements, Michael (47)

Kilian, Lutz (46)

West, Kenneth (44)

Wohar, Mark (42)

Franses, Philip Hans (42)

Cites to:

Clark, Todd (86)

West, Kenneth (83)

Watson, Mark (58)

Kilian, Lutz (50)

Stock, James (47)

Swanson, Norman (37)

Diebold, Francis (36)

Giannone, Domenico (30)

Rogoff, Kenneth (24)

Rossi, Barbara (24)

Mariano, Roberto (23)

Main data

Where Michael McCracken has published?

Journals with more than one article published# docs
Journal of Econometrics7
Economic Synopses7
Journal of Business & Economic Statistics5
Journal of Applied Econometrics5
Review4
The Regional Economist2
Journal of Money, Credit and Banking2
Econometric Reviews2
International Economic Review2

Working Papers Series with more than one paper published# docs
Working Papers / Federal Reserve Bank of St. Louis32
On the Economy / Federal Reserve Bank of St. Louis11
Research Working Paper / Federal Reserve Bank of Kansas City11
Working Papers (Old Series) / Federal Reserve Bank of Cleveland4
Finance and Economics Discussion Series / Board of Governors of the Federal Reserve System (U.S.)3

Recent works citing Michael McCracken (2024 and 2023)

YearTitle of citing document
2024Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?. (2017). Kastner, Gregor ; Huber, Florian ; Feldkircher, Martin. In: Papers. RePEc:arx:papers:1711.00564.

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2023Equal Predictive Ability Tests for Panel Data with an Application to OECD and IMF Forecasts. (2020). Yang, Zhenlin ; Urga, Giovanni ; Pirotte, Alain ; Akgun, Oguzhan. In: Papers. RePEc:arx:papers:2003.02803.

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2023Deep Dynamic Factor Models. (2020). Ricco, Giovanni ; Izzo, Cosimo ; Andreini, Paolo. In: Papers. RePEc:arx:papers:2007.11887.

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2023A Novel Approach to Predictive Accuracy Testing in Nested Environments. (2020). Pitarakis, Jean-Yves. In: Papers. RePEc:arx:papers:2008.08387.

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2023Time-Varying Parameters as Ridge Regressions. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2009.00401.

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2024Financial-cycle ratios and multi-year predictions of GDP: Evidence from the United States. (2021). Moramarco, Graziano. In: Papers. RePEc:arx:papers:2111.00822.

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2023Estimation and Inference for High Dimensional Factor Model with Regime Switching. (2022). Wang, FA ; Urga, Giovanni. In: Papers. RePEc:arx:papers:2205.12126.

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2023Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!. (2022). Kastner, Gregor ; Gruber, Luis. In: Papers. RePEc:arx:papers:2206.04902.

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2024Local Projection Inference in High Dimensions. (2022). Wilms, Ines ; Smeekes, Stephan ; Adamek, Robert. In: Papers. RePEc:arx:papers:2209.03218.

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2024The boosted HP filter is more general than you might think. (2022). Shi, Zhentao ; PEter, ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2209.09810.

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2023Bayesian Modeling of Time-varying Parameters Using Regression Trees. (2022). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2209.11970.

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2024Prediction intervals for economic fixed-event forecasts. (2022). Plett, Hendrik ; Kruger, Fabian. In: Papers. RePEc:arx:papers:2210.13562.

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2024Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data. (2022). Ortega, Juan-Pablo ; van Huellen, Sophie ; Hirt, Marcel ; Grigoryeva, Lyudmila ; Dellaportas, Petros ; Ballarin, Giovanni. In: Papers. RePEc:arx:papers:2211.00363.

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2023Boosted p-Values for High-Dimensional Vector Autoregression. (2022). Huang, Xiao. In: Papers. RePEc:arx:papers:2211.02215.

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2024Enhanced Bayesian Neural Networks for Macroeconomics and Finance. (2022). Marcellino, Massimiliano ; Klieber, Karin ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2211.04752.

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2024On LASSO for High Dimensional Predictive Regression. (2022). Shi, Zhentao ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2212.07052.

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2023Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2023). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2023Inference in Non-stationary High-Dimensional VARs. (2023). Smeekes, Stephan ; Margaritella, Luca. In: Papers. RePEc:arx:papers:2302.01434.

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2023Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates. (2023). Pitarakis, Jean-Yves ; Gonzalo, Jesus. In: Papers. RePEc:arx:papers:2302.02866.

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2023High-Dimensional Conditionally Gaussian State Space Models with Missing Data. (2023). Zhu, Dan ; Poon, Aubrey. In: Papers. RePEc:arx:papers:2302.03172.

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2023Combining search strategies to improve performance in the calibration of economic ABMs. (2023). Delli Gatti, Domenico ; Chanda, Debmallya ; Favorito, Marco ; Glielmo, Aldo. In: Papers. RePEc:arx:papers:2302.11835.

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2023Distributional Vector Autoregression: Eliciting Macro and Financial Dependence. (2023). Oka, Tatsushi ; Zhu, Dan ; Wang, Yunyun. In: Papers. RePEc:arx:papers:2303.04994.

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2024GDP nowcasting with artificial neural networks: How much does long-term memory matter?. (2023). Hadh, D'Aniel. In: Papers. RePEc:arx:papers:2304.05805.

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2023Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification. (2023). Marcellino, Massimiliano ; Huber, Florian. In: Papers. RePEc:arx:papers:2304.07856.

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2023Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?. (2023). Zhang, Yonghui ; Wei, Jie. In: Papers. RePEc:arx:papers:2305.05934.

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2023Band-Pass Filtering with High-Dimensional Time Series. (2023). Proietti, Tommaso ; Lippi, Marco ; Giovannelli, Alessandro. In: Papers. RePEc:arx:papers:2305.06618.

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2023Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks. (2023). Huber, Florian ; Koop, Gary. In: Papers. RePEc:arx:papers:2305.16827.

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2023Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors. (2023). Tsay, Ruey S ; Gao, Zhaoxing. In: Papers. RePEc:arx:papers:2307.07689.

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2024Reconciling the Theory of Factor Sequences. (2023). Deistler, Manfred ; Rust, Christoph ; Gersing, Philipp. In: Papers. RePEc:arx:papers:2307.10067.

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2023Composite Quantile Factor Models. (2023). Huang, Xiao. In: Papers. RePEc:arx:papers:2308.02450.

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2024Linear Regression with Weak Exogeneity. (2023). Solvsten, Mikkel ; Mikusheva, Anna. In: Papers. RePEc:arx:papers:2308.08958.

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2023Common Firm-level Investor Fears: Evidence from Equity Options. (2023). Baruník, Jozef ; Ellington, Michael ; Bevilacqua, Mattia. In: Papers. RePEc:arx:papers:2309.03968.

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2023Non-linear dimension reduction in factor-augmented vector autoregressions. (2023). Klieber, Karin. In: Papers. RePEc:arx:papers:2309.04821.

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2023Valuation Duration of the Stock Market. (2023). Wang, Chen ; Li, YE. In: Papers. RePEc:arx:papers:2310.07110.

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2023BVARs and Stochastic Volatility. (2023). Chan, Joshua. In: Papers. RePEc:arx:papers:2310.14438.

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2023From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks. (2023). Frenette, Mikael ; Coulombe, Philippe Goulet ; Klieber, Karin. In: Papers. RePEc:arx:papers:2311.16333.

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2023Inference on common trends in functional time series. (2023). Seo, Won-Ki ; Nielsen, Morten Orregaard ; Seong, Dakyung. In: Papers. RePEc:arx:papers:2312.00590.

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2023Economic Forecasts Using Many Noises. (2023). Neuhierl, Andreas ; Liao, Yuan ; Shi, Zhentao ; Ma, Xinjie. In: Papers. RePEc:arx:papers:2312.05593.

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2023Time-Varying Risk Aversion and International Stock Returns. (2023). Guidolin, Massimo ; Cabrera, Gabriel ; Hansen, Erwin. In: BAFFI CAREFIN Working Papers. RePEc:baf:cbafwp:cbafwp23203.

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2023.

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2023Central Bank Forecasting: A Survey. (2023). Sekkel, Rodrigo ; Binder, Carola Conces. In: Staff Working Papers. RePEc:bca:bocawp:23-18.

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2023The closer we get, the better we are?. (2023). Zilberfarb, Ben Zion ; Goldstein, Nathan. In: Economic Inquiry. RePEc:bla:ecinqu:v:61:y:2023:i:2:p:364-376.

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2023Machine learning advances for time series forecasting. (2023). Mendes, Eduardo F ; Medeiros, Marcelo C ; Masini, Ricardo P. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:1:p:76-111.

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2023Pockets of Predictability. (2023). Timmermann, Allan ; Schmidt, Lawrence ; Farmer, Leland E. In: Journal of Finance. RePEc:bla:jfinan:v:78:y:2023:i:3:p:1279-1341.

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2023.

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2023Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions. (2023). Österholm, Pär ; Karlsson, Sune ; Osterholm, Par. In: Scandinavian Journal of Economics. RePEc:bla:scandj:v:125:y:2023:i:1:p:287-314.

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2023Risky news and credit market sentiment. (2023). Thorsrud, Leif Anders ; Labonne, Paul. In: Working Papers. RePEc:bny:wpaper:0125.

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2023Beliefs- and fundamentals-driven job creation. (2023). Schnattinger, Philip. In: Bank of England working papers. RePEc:boe:boeewp:1040.

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2023The Asymmetric Impact of Economic Policy and Oil Price Uncertainty on Inflation: Evidence from Developed and Emerging Economies. (2023). Anderl, Christina ; Caporale, Guglielmo Maria. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10276.

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2023Government Purchases, the Labor Earnings Gap, andConsumption Dynamics. (2023). Giarda, Mario. In: Working Papers Central Bank of Chile. RePEc:chb:bcchwp:972.

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2023Nowcasting employment in the euro area. (2023). Toth, Mate Barnabas ; Bodnar, Katalin ; Belousova, Irina ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20232815.

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2023Vector autoregression models with skewness and heavy tails. (2023). Karlsson, Sune ; Nguyen, Hoang ; Mazur, Stepan. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:146:y:2023:i:c:s0165188922002834.

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2023Measuring the trend real interest rate in a data-rich environment. (2023). Fu, Bowen. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:147:y:2023:i:c:s016518892300012x.

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2023Time-varying impacts of monetary policy uncertainty on Chinas housing market. (2023). Yang, Haisheng ; Li, Jie ; Lu, Yunzhi. In: Economic Modelling. RePEc:eee:ecmode:v:118:y:2023:i:c:s0264999322003182.

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2023Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Economic Modelling. RePEc:eee:ecmode:v:122:y:2023:i:c:s0264999323000160.

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2023Diligent forecasters can make accurate predictions despite disagreeing with the consensus. (2023). Zheng, Xinye ; An, Zidong. In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001840.

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2023The confidence channel of U.S. financial uncertainty: Evidence from industry-level data. (2023). Rangaraju, Sandeep Kumar ; Karaki, Mohamad B. In: Economic Modelling. RePEc:eee:ecmode:v:129:y:2023:i:c:s0264999323003693.

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2023Nowcasting the output gap. (2023). Wong, Benjamin ; Morley, James ; Berger, Tino. In: Journal of Econometrics. RePEc:eee:econom:v:232:y:2023:i:1:p:18-34.

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2023Most powerful test against a sequence of high dimensional local alternatives. (2023). GAO, Jiti ; Jaidee, Sombut ; He, YI. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:1:p:151-177.

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2023Penalized time-varying model averaging. (2023). Hong, Yongmiao ; Zhang, Xinyu ; Wang, Shouyang ; Sun, Yuying. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1355-1377.

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2023Comparing stochastic volatility specifications for large Bayesian VARs. (2023). Chan, Joshua. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1419-1446.

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2023The distribution of rolling regression estimators. (2023). Juhl, Ted ; Cai, Zongwu. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1447-1463.

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2023Model averaging for asymptotically optimal combined forecasts. (2023). Liu, Chu-An ; Chen, Yi-Ting. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:592-607.

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2023High-dimensional conditionally Gaussian state space models with missing data. (2023). Poon, Aubrey ; Chan, Joshua ; Zhu, Dan. In: Journal of Econometrics. RePEc:eee:econom:v:236:y:2023:i:1:s0304407623001628.

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2023Out-of-sample tests for conditional quantile coverage an application to Growth-at-Risk. (2023). Gutknecht, Daniel ; Fosten, Jack ; Corradi, Valentina. In: Journal of Econometrics. RePEc:eee:econom:v:236:y:2023:i:2:s0304407623002063.

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2023Robust Covariance Matrix Estimation in Time Series: A Review. (2023). Hirukawa, Masayuki. In: Econometrics and Statistics. RePEc:eee:ecosta:v:27:y:2023:i:c:p:36-61.

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2023Measuring macroeconomic uncertainty: A cross-country analysis. (2023). Dibiasi, Andreas ; Sarferaz, Samad. In: European Economic Review. RePEc:eee:eecrev:v:153:y:2023:i:c:s0014292123000120.

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2023Estimating the euro area output gap using multivariate information and addressing the COVID-19 pandemic. (2023). Wong, Benjamin ; Morley, James ; Sun, Yiqiao ; Rodriguez-Palenzuela, Diego. In: European Economic Review. RePEc:eee:eecrev:v:153:y:2023:i:c:s0014292123000144.

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2023Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables. (2023). Nonejad, Nima. In: Journal of Empirical Finance. RePEc:eee:empfin:v:70:y:2023:i:c:p:91-122.

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2023Investor sentiment and global economic conditions. (2023). Lutkebohmert, Eva ; Herculano, Miguel C. In: Journal of Empirical Finance. RePEc:eee:empfin:v:73:y:2023:i:c:p:134-152.

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2023From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007.

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2023Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach. (2023). Brooks, Robert ; Hasanov, Akram Shavkatovich ; Vellachami, Sanggetha. In: International Review of Financial Analysis. RePEc:eee:finana:v:89:y:2023:i:c:s1057521923002314.

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2023Geopolitical risk and household stock market participation. (2023). Lee, Kiryoung. In: Finance Research Letters. RePEc:eee:finlet:v:51:y:2023:i:c:s1544612322005074.

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2023Robust forecasting with scaled independent component analysis. (2023). Chen, YU ; Lu, Feiyang ; Shu, Lei. In: Finance Research Letters. RePEc:eee:finlet:v:51:y:2023:i:c:s1544612322005761.

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2023Monetary policy shocks and consumer expectations in the euro area. (2023). Scharler, Johann ; Grundler, Daniel ; Geiger, Martin. In: Journal of International Economics. RePEc:eee:inecon:v:140:y:2023:i:c:s0022199622001404.

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2023Average tail risk and aggregate stock returns. (2023). , Richard ; Dai, Yingtong. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:82:y:2023:i:c:s1042443122001718.

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2023FRED-SD: A real-time database for state-level data with forecasting applications. (2023). Owyang, Michael T ; Kliesen, Kevin L ; Jackson, Laura E ; Bokun, Kathryn O. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:279-297.

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2023Does the Phillips curve help to forecast euro area inflation?. (2023). Bobeica, Elena ; Babura, Marta. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:364-390.

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2023Forecasting crude oil market volatility using variable selection and common factor. (2023). Wang, Yudong ; Wahab, M. I. M., ; Zhang, Yaojie. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:486-502.

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2023Real estate illiquidity and returns: A time-varying regional perspective. (2023). Zhu, Yunyi ; Fu, XI ; Ellington, Michael. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:58-72.

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2023Testing the predictive accuracy of COVID-19 forecasts. (2023). Paccagnini, Alessia ; Iacone, Fabrizio ; Coroneo, Laura ; Monteiro, Paulo Santos . In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:606-622.

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2023Forecasting crude oil futures market returns: A principal component analysis combination approach. (2023). Wang, Yudong ; Zhang, Yaojie. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:659-673.

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2023Empirically-transformed linear opinion pools. (2023). Vahey, Shaun P ; Henckel, Timo ; Garratt, Anthony. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:736-753.

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2023Targeting predictors in random forest regression. (2023). Nielsen, Mikkel Slot ; Muhlbach, Nicolaj Sondergaard ; Christensen, Bent Jesper ; Borup, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:841-868.

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2023Real-time inflation forecasting using non-linear dimension reduction techniques. (2023). Huber, Florian ; Klieber, Karin ; Hauzenberger, Niko. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:901-921.

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2023The power of narrative sentiment in economic forecasts. (2023). Sharpe, Steven ; Hollrah, Christopher A ; Sinha, Nitish R. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1097-1121.

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2023Factor models for large and incomplete data sets with unknown group structure. (2023). Camacho, Maximo ; Lopez-Buenache, German. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1205-1220.

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2023Improving variance forecasts: The role of Realized Variance features. (2023). Papantonis, Ioannis ; Tzavalis, Elias ; Rompolis, Leonidas. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1221-1237.

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2023Nowcasting GDP with a pool of factor models and a fast estimation algorithm. (2023). Schroder, Maximilian ; Eraslan, Sercan. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1460-1476.

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2023Model combinations through revised base rates. (2023). Panagiotelis, Anastasios ; Spiliotis, Evangelos ; Petropoulos, Fotios. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1477-1492.

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2023Forecast combinations: An over 50-year review. (2023). Li, Feng ; Kang, Yanfei ; Hyndman, Rob J ; Wang, Xiao Qian. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1518-1547.

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2023Real-time density nowcasts of US inflation: A model combination approach. (2023). Zaman, Saeed ; Knotek, Edward S. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1736-1760.

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2023The sum of all fears: Forecasting international returns using option-implied risk measures. (2023). Toupin, Dominique ; Power, Gabriel J ; Gagnon, Marie-Helene. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:146:y:2023:i:c:s0378426622002813.

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2023Presidential economic approval rating and the cross-section of stock returns. (2023). Wang, Liyao ; Huang, Dashan ; Da, Zhi ; Chen, Zilin. In: Journal of Financial Economics. RePEc:eee:jfinec:v:147:y:2023:i:1:p:106-131.

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2023Asset holders’ consumption risk and tests of conditional CCAPM. (2023). Jo, Chanik ; Elkamhi, Redouane. In: Journal of Financial Economics. RePEc:eee:jfinec:v:148:y:2023:i:3:p:220-244.

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More than 100 citations found, this list is not complete...

Works by Michael McCracken:

YearTitleTypeCited
2001NEW MSE TESTS FOR EVALUATING FORECASTING PERFORMANCE: EMPIRICS AND BOOTSTRAP In: 2001 Annual meeting, August 5-8, Chicago, IL.
[Full Text][Citation analysis]		paper0
2001Inference about predictive ability In: Working papers.
[Full Text][Citation analysis]		paper10
1997Regression-Based Tests of Predictive Ability. In: Working papers.
[Full Text][Citation analysis]		paper158
1998Regression-Based Tests of Predictive Ability..(1998) In: International Economic Review.
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2014TESTS OF EQUAL FORECAST ACCURACY FOR OVERLAPPING MODELS.(2014) In: Journal of Applied Econometrics.
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2014Evaluating Conditional Forecasts from Vector Autoregressions.(2014) In: Working Papers.
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2009IMPROVING FORECAST ACCURACY BY COMBINING RECURSIVE AND ROLLING FORECASTS.(2009) In: International Economic Review.
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