Yongchen Zhao : Citation Profile

Are you Yongchen Zhao?

Towson University

4

H index

3

i10 index

69

Citations

RESEARCH PRODUCTION:

7

Articles

16

Papers

RESEARCH ACTIVITY:

   6 years (2012 - 2018). See details.
   Cites by year: 11
   Journals where Yongchen Zhao has often published
   Relations with other researchers
   Recent citing documents: 36.    Total self citations: 7 (9.21 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pzh331
   Updated: 2019-10-06    RAS profile: 2019-05-08    
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Relations with other researchers

Works with:

Lahiri, Kajal (15)

Peng, Huaming (4)

Monokroussos, George (3)

Stekler, Herman (2)

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

Is cited by:

Bürgi, Constantin (21)

Claveria, Oscar (11)

Sinclair, Tara (6)

Lahiri, Kajal (4)

Hartmann, Matthias (3)

Corona, Francisco (3)

Poncela, Pilar (3)

Moench, Emanuel (2)

Chernis, Tony (2)

Fantazzini, Dean (2)

Elliott, Graham (2)

Cites to:

Lahiri, Kajal (27)

Mitchell, James (11)

Weale, Martin (10)

Monokroussos, George (7)

Reis, Ricardo (7)

Mankiw, N. Gregory (7)

Pesaran, M (6)

Timmermann, Allan (6)

Clements, Michael (6)

Lui, Silvia Sze Wai (5)

Croushore, Dean (5)

Main data

Where Yongchen Zhao has published?

Journals with more than one article published# docs
International Journal of Forecasting2

Working Papers Series with more than one paper published# docs
Working Papers / Towson University, Department of Economics7
Discussion Papers / University at Albany, SUNY, Department of Economics6
Working Papers / The George Washington University, Department of Economics, Research Program on Forecasting2

Recent works citing Yongchen Zhao (2019 and 2018)

YearTitle of citing document
2017“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:201706.

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2018“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:201801.

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2017A Dynamic Factor Model for Nowcasting Canadian GDP Growth. (2017). Chernis, Tony ; Sekkel, Rodrigo. In: Staff Working Papers. RePEc:bca:bocawp:17-2.

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2018Term structure and real-time learning. (2018). Vázquez, Jesús ; Aguilar, Pablo ; Vazquez, Jesus. In: Working Papers. RePEc:bde:wpaper:1803.

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2017World Productivity Growth: A Model Averaging Approach. (2017). Duygun, Meryem ; Sickles, Robin C ; Isaksson, Anders ; Hao, Jiaqi . In: Pacific Economic Review. RePEc:bla:pacecr:v:22:y:2017:i:4:p:587-619.

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2019Does Business Confidence Matter for Investment?. (2017). Khan, Hashmat ; Upadhayaya, Santosh. In: Carleton Economic Papers. RePEc:car:carecp:17-13.

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2019Forecasting GDP all over the world using leading indicators based on comprehensive survey data. (2019). Wohlrabe, Klaus ; Lehmann, Robert ; Garnitz, Johanna. In: CESifo Working Paper Series. RePEc:ces:ceswps:_7691.

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2019Rationality tests in the presence of instabilities in finite samples. (2019). El-Shagi, Makram. In: Economic Modelling. RePEc:eee:ecmode:v:79:y:2019:i:c:p:242-246.

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2018Bank liquidity creation and recessions. (2018). Chatterjee, Ujjal K. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:90:y:2018:i:c:p:64-75.

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2019Climbing out of an economic crisis: A cycle of consumer sentiment and personal stress. (2019). Pieters, Rik ; van Giesen, Roxanne I. In: Journal of Economic Psychology. RePEc:eee:joepsy:v:70:y:2019:i:c:p:109-124.

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2017Macroeconomic Uncertainty Through the Lens of Professional Forecasters. (2017). Jo, Soojin ; Sekkel, Rodrigo. In: Working Papers. RePEc:fip:feddwp:1702.

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2019Modeling heterogeneity and rationality of inflation expectations across Indian households. (2019). Goyal, Ashima ; Parab, Prashant . In: Indira Gandhi Institute of Development Research, Mumbai Working Papers. RePEc:ind:igiwpp:2019-02.

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2017Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: IREA Working Papers. RePEc:ira:wpaper:201711.

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2018“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: IREA Working Papers. RePEc:ira:wpaper:201801.

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2019Empirical modelling of survey-based expectations for the design of economic indicators in five European regions. (2019). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: Empirica. RePEc:kap:empiri:v:46:y:2019:i:2:d:10.1007_s10663-017-9395-1.

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2018Forecasting with Many Predictors: How Useful are National and International Confidence Data?. (2018). Rherrad, Imad ; Moran, Kevin ; Nono, Simplice Aime. In: Cahiers de recherche. RePEc:lvl:crrecr:1814.

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2019Revisiting the Relationship between Financial Wealth, Housing Wealth, and Consumption: A Panel Analysis for the U.S.. (2019). SIOKIS, FOTIOS ; Kontana, Dimitra. In: Discussion Paper Series. RePEc:mcd:mcddps:2019_03.

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2017Measuring the Distributions of Public Inflation Perceptions and Expectations in the UK. (2017). Murasawa, Yasutomo. In: MPRA Paper. RePEc:pra:mprapa:76244.

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2017Evaluación de la capacidad predictiva del índice de percepción del consumidor. (2017). Acuña, Guillermo ; Acua, Guillermo . In: MPRA Paper. RePEc:pra:mprapa:83154.

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2017Everything you always wanted to know about bitcoin modelling but were afraid to ask. Part 2. (2017). Fantazzini, Dean ; Ivliev, Sergey ; Sukhanovskaya, Vera ; Nigmatullin, Erik . In: Applied Econometrics. RePEc:ris:apltrx:0308.

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2019Прогнозирование инфляции: практика использования синтетических процедур // Inflation Forecasting: The Practice of Using Synthetic Proce. (2019). М. Юревич А., ; Е. Балацкий В., ; Yurevich, M ; Balatskiy, E. In: Мир новой экономики // The world of new economy. RePEc:scn:wnewec:y:2018:i:4:p:20-31.

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2017The role of indicator selection in nowcasting euro-area GDP in pseudo-real time. (2017). Golinelli, Roberto ; Pappalardo, Carmine ; Girardi, Alessandro. In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1151-z.

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2017A nonparametric approach to identifying a subset of forecasters that outperforms the simple average. (2017). Sinclair, Tara ; Bürgi, Constantin ; Bürgi, Constantin ; Bürgi, Constantin ; Burgi, Constantin . In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1152-y.

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2017Determining the number of factors after stationary univariate transformations. (2017). Ruiz, Esther ; Poncela, Pilar ; Corona, Francisco. In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1158-5.

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2017Measuring uncertainty and assessing its predictive power in the euro area. (2017). Poncela, Pilar ; Senra, Eva . In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1181-6.

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2017Forecasting economic activity by Bayesian bridge model averaging. (2017). Marcellino, Massimiliano ; Moretti, Gianluca ; Bencivelli, Lorenzo . In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1199-9.

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2017Evaluating a leading indicator: an application—the term spread. (2017). Stekler, Herman O ; Ye, Tianyu . In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1200-7.

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2017Forecast combination when outcomes are difficult to predict. (2017). Elliott, Graham. In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-017-1253-2.

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2017A dynamic factor model for nowcasting Canadian GDP growth. (2017). Chernis, Tony ; Sekkel, Rodrigo. In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-017-1254-1.

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2017A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?. (2017). Corona, Francisco ; Orraca, Pedro ; Gonzalez-Farias, Graciela. In: Latin American Economic Review. RePEc:spr:laecrv:v:26:y:2017:i:1:d:10.1007_s40503-017-0044-7.

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2017A new approach for the quantification of qualitative measures of economic expectations. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0416-0.

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2017Does Consumer Confidence Forecast Household Saving and Borrowing Behavior? Evidence for Poland. (2017). KOPOCKA, ANETA MARIA . In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement. RePEc:spr:soinre:v:133:y:2017:i:2:d:10.1007_s11205-016-1376-4.

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2018A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement. RePEc:spr:soinre:v:135:y:2018:i:1:d:10.1007_s11205-016-1490-3.

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2017Do US consumer survey data help beat the random walk in forecasting mortgage rates?. (2017). Baghestani, Hamid ; McMillan, David. In: Cogent Economics & Finance. RePEc:taf:oaefxx:v:5:y:2017:i:1:p:1343017.

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Works by Yongchen Zhao:

YearTitleTypeCited
2012The Yield Spread Puzzle and the Information Content of SPF Forecasts In: CESifo Working Paper Series.
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2013The yield spread puzzle and the information content of SPF forecasts.(2013) In: Economics Letters.
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This paper has another version. Agregated cites: 12		article
2012The yield spread puzzle and the information content of SPF forecasts.(2012) In: Discussion Papers.
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This paper has another version. Agregated cites: 12		paper
2015Testing the value of probability forecasts for calibrated combining In: International Journal of Forecasting.
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2013Testing the Value of Probability Forecasts for Calibrated Combining.(2013) In: Discussion Papers.
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This paper has another version. Agregated cites: 3		paper
2015Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method In: International Journal of Forecasting.
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2015Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms In: Working Papers.
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2015Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms.(2015) In: Working Papers.
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This paper has another version. Agregated cites: 4		paper
2016Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set In: Working Papers.
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2016Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set.(2016) In: Working Papers.
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This paper has another version. Agregated cites: 0		paper
2012Forecasting Consumption in Real Time: The Role of Consumer Confidence Surveys In: Discussion Papers.
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2013Machine Learning and Forecast Combination in Incomplete Panels In: Discussion Papers.
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2013Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited In: Discussion Papers.
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2013Determinants of Consumer Sentiment: Evidence from Household Survey Data In: Discussion Papers.
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2016Determinants of Consumer Sentiment Over Business Cycles: Evidence from the US Surveys of Consumers In: Journal of Business Cycle Research.
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2016Determinants of Consumer Sentiment over Business Cycles: Evidence from the U.S. Surveys of Consumers.(2016) In: Working Papers.
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2017Online learning and forecast combination in unbalanced panels In: Econometric Reviews.
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2015Forecasting Consumption: The Role of Consumer Confidence in Real Time with many Predictors In: Working Papers.
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2016Forecasting Consumption: the Role of Consumer Confidence in Real Time with many Predictors.(2016) In: Journal of Applied Econometrics.
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2018Inflation Expectations in India: Learning from Household Tendency Surveys In: Working Papers.
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2018International Propagation of Shocks: A Dynamic Factor Model Using Survey Forecasts In: Working Papers.
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2019Updates to Household Inflation Expectations: Signal or Noise? In: Working Papers.
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2014Modeling Hedge Fund Returns: Selection, Nonlinearity and Managerial Efficiency In: Managerial and Decision Economics.
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