Davide Pettenuzzo : Citation Profile


Are you Davide Pettenuzzo?

Brandeis University

12

H index

12

i10 index

775

Citations

RESEARCH PRODUCTION:

14

Articles

43

Papers

RESEARCH ACTIVITY:

   16 years (2004 - 2020). See details.
   Cites by year: 48
   Journals where Davide Pettenuzzo has often published
   Relations with other researchers
   Recent citing documents: 60.    Total self citations: 22 (2.76 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/ppe516
   Updated: 2024-04-18    RAS profile: 2021-01-04    
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Relations with other researchers


Works with:

Korobilis, Dimitris (6)

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

Is cited by:

Korobilis, Dimitris (24)

Rossi, Barbara (23)

GUPTA, RANGAN (20)

Ravazzolo, Francesco (18)

Maheu, John (17)

Koop, Gary (17)

Wang, Yudong (16)

Huber, Florian (15)

Verona, Fabio (13)

Pesaran, Mohammad (12)

Perron, Pierre (12)

Cites to:

Campbell, John (39)

Stambaugh, Robert (24)

Clark, Todd (23)

Marcellino, Massimiliano (21)

Watson, Mark (19)

Timmermann, Allan (18)

Geweke, John (16)

Pesaran, Mohammad (15)

Goyal, Amit (15)

Lettau, Martin (14)

Koop, Gary (14)

Main data


Where Davide Pettenuzzo has published?


Journals with more than one article published# docs
Journal of Econometrics5

Working Papers Series with more than one paper published# docs
Working Papers / Brandeis University, Department of Economics and International Business School17
CEPR Discussion Papers / C.E.P.R. Discussion Papers7
Working Paper series / Rimini Centre for Economic Analysis2
CESifo Working Paper Series / CESifo2
Working Papers / Business School - Economics, University of Glasgow2

Recent works citing Davide Pettenuzzo (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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2023Predictive properties of forecast combination, ensemble methods, and Bayesian predictive synthesis. (2019). McAlinn, Kenichiro ; Takanashi, Kosaku. In: Papers. RePEc:arx:papers:1911.08662.

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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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2024Optimal Regime-Switching Density Forecasts. (2021). Moramarco, Graziano. In: Papers. RePEc:arx:papers:2110.13761.

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2023Sparse multivariate modeling for stock returns predictability. (2022). Bernardi, Mauro ; Bianco, Nicolas ; Bianchi, Daniele. In: Papers. RePEc:arx:papers:2202.12644.

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2023Limit Theory under Network Dependence and Nonstationarity. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2308.01418.

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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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2023BAYESIAN STATE SPACE MODELS IN MACROECONOMETRICS. (2023). Strachan, Rodney. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:1:p:58-75.

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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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2023Employee sentiment and stock returns. (2023). Zhou, Guofu ; Yao, Jiaquan ; Tang, Guohao ; Chen, Jian. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:149:y:2023:i:c:s0165188923000428.

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2023Rational bubbles: Too many to be true?. (2023). Sola, Martin ; Psaradakis, Zacharias ; Caravello, Tomas E. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:151:y:2023:i:c:s0165188923000726.

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2023Are low frequency macroeconomic variables important for high frequency electricity prices?. (2023). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia. In: Economic Modelling. RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999322003972.

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2023The impact of ambiguity-loving attitude on market participation and asset pricing. (2023). Huang, Helen ; Zhang, Shunming ; Wang, Yanjie ; Sun, Yuzhe. In: Economic Modelling. RePEc:eee:ecmode:v:128:y:2023:i:c:s0264999323003395.

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2023Forecasting stock return volatility in data-rich environment: A new powerful predictor. (2023). Li, Tingyu ; Zhang, Xiaotong ; Dai, Zhifeng. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:64:y:2023:i:c:s1062940822001802.

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2023Identifying the true nature of price discovery and cross-market informational flow in the investment grade CDS and equity markets. (2023). Yin, Anwen ; Procasky, William J. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:64:y:2023:i:c:s1062940822002121.

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2023Payout suspensions during the Covid-19 pandemic. (2023). Timmermann, Allan ; Sabbatucci, Riccardo ; Pettenuzzo, Davide. In: Economics Letters. RePEc:eee:ecolet:v:224:y:2023:i:c:s0165176523000496.

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2023Dividend suspensions and cash flows during the Covid-19 pandemic: A dynamic econometric model. (2023). Timmermann, Allan ; Sabbatucci, Riccardo ; Pettenuzzo, Davide. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1522-1541.

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2023Out-of-sample equity premium prediction: The role of option-implied constraints. (2023). Zhou, TI ; Wang, Yunqi. In: Journal of Empirical Finance. RePEc:eee:empfin:v:70:y:2023:i:c:p:199-226.

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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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2023Forecasting realized volatility with machine learning: Panel data perspective. (2023). Liu, Zhi ; He, Lidan ; Bai, LU ; Zhu, Haibin. In: Journal of Empirical Finance. RePEc:eee:empfin:v:73:y:2023:i:c:p:251-271.

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2023Forecasting the real prices of crude oil: What is the role of parameter instability?. (2023). Wang, Yudong ; Hao, Xianfeng. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322006120.

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2023Forecasting commodity prices returns: The role of partial least squares approach. (2023). Dai, Zhifeng ; Zhu, Haoyang ; Wen, Chufu. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003237.

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2023The oil price-inflation nexus: The exchange rate pass- through effect. (2023). Du, Min ; Cui, Tianxiang ; Zheng, Dandan ; Ding, Shusheng. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003262.

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2023Long-term adjusted volatility: Powerful capability in forecasting stock market returns. (2023). Li, Yan ; Liu, Jing ; Qiu, Rui. In: International Review of Financial Analysis. RePEc:eee:finana:v:86:y:2023:i:c:s1057521923000467.

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2023Equity premium prediction: The role of information from the options market. (2023). Voukelatos, Nikolaos ; Panopoulou, Ekaterini ; Apergis, Iraklis ; Alexandridis, Antonios K. In: Journal of Financial Markets. RePEc:eee:finmar:v:64:y:2023:i:c:s1386418122000908.

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2023Data-based priors for vector error correction models. (2023). Pruser, Jan. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:209-227.

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2023Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US. (2023). Neuenkirch, Matthias ; Haase, Felix. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:587-605.

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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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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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2023Macroeconomic forecasting in the euro area using predictive combinations of DSGE models. (2023). Čapek, Jan ; Reichel, Vlastimil ; Hauzenberger, Niko ; Cuaresma, Jesus Crespo. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1820-1838.

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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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2023Wheat price volatility regimes over 140 years: An analysis of daily price ranges. (2023). Huss, Matthias ; Zimmermann, Heinz ; Haase, Marco. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:31:y:2023:i:c:s2405851323000363.

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2023Chinese crude oil futures volatility and sustainability: An uncertainty indices perspective. (2023). Zhao, Chenchen ; Huang, Dengshi ; Xu, Weiju. In: Resources Policy. RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722006705.

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2023.

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2023.

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2023Global Disaster Risk Matters. (2023). Zhu, Xiaoneng ; Zhang, Qunzi ; Yao, Jiaquan ; Chen, Jian. In: Management Science. RePEc:inm:ormnsc:v:69:y:2023:i:1:p:576-597.

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2023Structural Breaks in Seemingly Unrelated Regression Models. (2023). Parsaeian, Shahnaz. In: WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS. RePEc:kan:wpaper:202308.

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2023Forecasting in the presence of in-sample and out-of-sample breaks. (2023). Perron, Pierre ; Xu, Jiawen. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:6:d:10.1007_s00181-022-02346-x.

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2023The response of household debt to COVID-19 using a neural networks VAR in OECD. (2023). Ongena, Steven ; Tsionas, Mike G ; Mamatzakis, Emmanuel C. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:1:d:10.1007_s00181-022-02325-2.

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2023BAYESIAN DYNAMIC VARIABLE SELECTION IN HIGH DIMENSIONS. (2023). Korobilis, Dimitris ; Koop, Gary. In: International Economic Review. RePEc:wly:iecrev:v:64:y:2023:i:3:p:1047-1074.

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2023Do extreme shocks help forecast oil price volatility? The augmented GARCH?MIDAS approach. (2023). Lang, Qiaoqi ; Liu, Guoshan ; Ma, Feng ; Wang, LU. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:28:y:2023:i:2:p:2056-2073.

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2023.

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2023Forecasting the stock risk premium: A new statistical constraint. (2023). Wang, Yudong ; Hao, Xianfeng. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1805-1822.

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2023Optimal forecasts in the presence of discrete structural breaks under long memory. (2023). Sibbertsen, Philipp ; Mboya, Mwasi Paza. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1889-1908.

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2023.

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2023Predictive power of the implied volatility term structure in the fixed?income market. (2023). Li, Xiaowei ; Huang, Jeffrey ; Hsieh, Peilin ; Chen, Renraw. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:43:y:2023:i:3:p:349-383.

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2023.

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2023Asset allocation with recursive parameter updating and macroeconomic regime identifiers. (2023). Meinerding, Christoph ; Goodarzi, Milad. In: Discussion Papers. RePEc:zbw:bubdps:062023.

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Works by Davide Pettenuzzo:


YearTitleTypeCited
2020Machine Learning Econometrics: Bayesian algorithms and methods In: Papers.
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paper2
2020Machine Learning Econometrics: Bayesian algorithms and methods.(2020) In: Working Papers.
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2020Machine Learning Econometrics: Bayesian algorithms and methods.(2020) In: Working Papers.
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2020Machine Learning Econometrics: Bayesian algorithms and methods.(2020) In: MPRA Paper.
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2020Cash Flow News and Stock Price Dynamics In: Journal of Finance.
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article6
2019Cash Flow News and Stock Price Dynamics.(2019) In: CEPR Discussion Papers.
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This paper has nother version. Agregated cites: 6
paper
2014Optimal portfolio choice under decision-based model combinations In: Working Paper.
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paper36
2015Optimal Portfolio Choice under Decision-Based Model Combinations.(2015) In: Working Papers.
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2014Optimal Portfolio Choice under Decision-Based Model Combinations.(2014) In: Working Papers.
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paper
2016Optimal Portfolio Choice Under Decision?Based Model Combinations.(2016) In: Journal of Applied Econometrics.
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article
2016Bayesian Compressed Vector Autoregressions In: Working Papers.
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paper52
2016Bayesian Compressed Vector Autoregressions.(2016) In: Working Papers.
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2019Bayesian compressed vector autoregressions.(2019) In: Journal of Econometrics.
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2016Bayesian Compressed Vector Autoregressions.(2016) In: Working Papers.
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2017Bayesian Compressed Vector Autoregressions.(2017) In: Working Paper series.
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2017Adaptive Hierarchical Priors for High-Dimensional Vector Autoregessions In: Working Papers.
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2019Adaptive hierarchical priors for high-dimensional vector autoregressions.(2019) In: Journal of Econometrics.
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2018Adaptive Hierarchical Priors for High-Dimensional Vector Autoregressions.(2018) In: Working Paper series.
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2017Forecasting Stock Returns: A Predictor-Constrained Approach In: Working Papers.
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paper19
2018Forecasting Stock Returns: A Predictor-Constrained Approach.(2018) In: Working Papers.
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2020Forecasting stock returns: A predictor-constrained approach.(2020) In: Journal of Empirical Finance.
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2018High-frequency Cash Flow Dynamics In: Working Papers.
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2018Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models In: Working Papers.
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2010Granger Causality, Exogeneity, Cointegration, and Economic Policy Analysis In: Working Papers.
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paper17
2014Granger causality, exogeneity, cointegration, and economic policy analysis.(2014) In: Journal of Econometrics.
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2008Return Predictability under Equilibrium Constraints on the Equity Premium In: Working Papers.
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2013Forecasting Stock Returns under Economic Constraints In: Working Papers.
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2013Forecasting Stock Returns under Economic Constraints.(2013) In: CEPR Discussion Papers.
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2014Forecasting stock returns under economic constraints.(2014) In: Journal of Financial Economics.
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2014Bond Return Predictability: Economic Value and Links to the Macroeconomy In: Working Papers.
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2016Bond Return Predictability: Economic Value and Links to the Macroeconomy.(2016) In: Working Papers.
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2014Bond Return Predictability: Economic Value and Links to the Macroeconomy.(2014) In: CEPR Discussion Papers.
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2019Bond Return Predictability: Economic Value and Links to the Macroeconomy.(2019) In: Management Science.
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2014A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics In: Working Papers.
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2014A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics.(2014) In: CEPR Discussion Papers.
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2016Option-Implied Equity Premium Predictions via Entropic TiltinG In: Working Papers.
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2016Option-Implied Equity Premium Predictions via Entropic TiltinG.(2016) In: Working Papers.
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2019Option-Implied Equity Premium Predictions via Entropic Tilting.(2019) In: Journal of Financial Econometrics.
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2014To Predict the Equity Market, Consult Economic Theory In: Rosenberg Global Financial Briefs.
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2004‘Forecasting Time Series Subject to Multiple Structural Breaks’ In: Cambridge Working Papers in Economics.
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2004Forecasting Time Series Subject to Multiple Structural Breaks.(2004) In: CESifo Working Paper Series.
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2004Forecasting Time Series Subject to Multiple Structural Breaks.(2004) In: CEPR Discussion Papers.
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2004Forecasting Time Series Subject to Multiple Structural Breaks.(2004) In: IZA Discussion Papers.
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2006Forecasting Time Series Subject to Multiple Structural Breaks.(2006) In: The Review of Economic Studies.
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2006Learning, Structural Instability and Present Value Calculations In: Cambridge Working Papers in Economics.
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2006Learning, Structural Instability and Present Value Calculations.(2006) In: CESifo Working Paper Series.
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2006Learning, structural instability and present value calculations.(2006) In: Computing in Economics and Finance 2006.
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2006Learning, Structural Instability and Present Value Calculations.(2006) In: IEPR Working Papers.
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2007Learning, Structural Instability, and Present Value Calculations.(2007) In: Econometric Reviews.
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2006Learning, structural instability and present value calculations.(2006) In: Discussion Paper Series 1: Economic Studies.
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2016Forecasting Macroeconomic Variables under Model Instability In: CEPR Discussion Papers.
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2017Forecasting Macroeconomic Variables Under Model Instability.(2017) In: Journal of Business & Economic Statistics.
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2020Dividend Suspensions and Cash Flow Risk during the Covid-19 Pandemic In: CEPR Discussion Papers.
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2011Predictability of stock returns and asset allocation under structural breaks In: Journal of Econometrics.
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2016A MIDAS approach to modeling first and second moment dynamics In: Journal of Econometrics.
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2016Adaptive Minnesota Prior for High-Dimensional Vector Autoregressions In: Essex Finance Centre Working Papers.
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2005The Forecasing time series subject to multiple structure breaks In: Money Macro and Finance (MMF) Research Group Conference 2005.
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