Davide Pettenuzzo : Citation Profile


Are you Davide Pettenuzzo?

Brandeis University

8

H index

6

i10 index

348

Citations

RESEARCH PRODUCTION:

9

Articles

37

Papers

RESEARCH ACTIVITY:

   14 years (2004 - 2018). See details.
   Cites by year: 24
   Journals where Davide Pettenuzzo has often published
   Relations with other researchers
   Recent citing documents: 82.    Total self citations: 15 (4.13 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/ppe516
   Updated: 2019-05-18    RAS profile: 2019-04-03    
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Relations with other researchers


Works with:

Korobilis, Dimitris (8)

Koop, Gary (4)

Ravazzolo, Francesco (4)

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

Is cited by:

Maheu, John (15)

Pesaran, M (12)

Koop, Gary (12)

Korobilis, Dimitris (11)

Song, Yong (9)

Perron, Pierre (9)

van Dijk, Dick (8)

Ravazzolo, Francesco (8)

GUPTA, RANGAN (8)

Rossi, Barbara (7)

Verona, Fabio (7)

Cites to:

Campbell, John (35)

Clark, Todd (23)

Marcellino, Massimiliano (21)

Stambaugh, Robert (20)

Watson, Mark (19)

Timmermann, Allan (18)

Geweke, John (17)

Pesaran, M (15)

Koop, Gary (15)

amisano, gianni (15)

Giannone, Domenico (14)

Main data


Where Davide Pettenuzzo has published?


Journals with more than one article published# docs
Journal of Econometrics4

Working Papers Series with more than one paper published# docs
Working Papers / Brandeis University, Department of Economics and International Businesss School16
CESifo Working Paper Series / CESifo Group Munich2
Working Paper series / Rimini Centre for Economic Analysis2

Recent works citing Davide Pettenuzzo (2019 and 2018)


YearTitle of citing document
2018Large-Scale Dynamic Predictive Regressions. (2018). Bianchi, Daniele ; McAlinn, Kenichiro. In: Papers. RePEc:arx:papers:1803.06738.

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2018Structural Breaks in Time Series. (2018). Perron, Pierre ; Casini, Alessandro. In: Papers. RePEc:arx:papers:1805.03807.

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2019Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction. (2019). Mogliani, Matteo. In: Papers. RePEc:arx:papers:1903.08025.

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2019Bayesian MIDAS penalized regressions: estimation, selection, and prediction. (2019). Mogliani, Matteo. In: Working papers. RePEc:bfr:banfra:713.

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2017Forecasting the equity risk premium with frequency-decomposed predictors. (2017). Verona, Fabio ; Faria, Gonçalo. In: Research Discussion Papers. RePEc:bof:bofrdp:2017_001.

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2017Forecasting in the presence of in and out of sample breaks. (2017). Perron, Pierre ; Xu, Jiawen. In: Boston University - Department of Economics - Working Papers Series. RePEc:bos:wpaper:wp2017-004.

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2019Optimism in Financial Markets: Stock Market Returns and Investor Sentiments. (2019). Concetto, Chiara Limongi ; Ravazzolo, Francesco. In: BEMPS - Bozen Economics & Management Paper Series. RePEc:bzn:wpaper:bemps56.

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2018Bayesian Vector Autoregressions. (2018). Ricco, Giovanni ; Miranda-Agrippino, Silvia. In: Discussion Papers. RePEc:cfm:wpaper:1808.

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2017Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model. (2017). Ravazzolo, Francesco ; Marcellino, Massimiliano ; Foroni, Claudia ; Casarin, Roberto. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:12339.

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2018Forecasting Methods in Finance. (2018). Timmermann, Allan G. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:12692.

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2018Pockets of Predictability. (2018). Farmer, Leland ; Timmermann, Allan G ; Schmidt, Lawrence . In: CEPR Discussion Papers. RePEc:cpr:ceprdp:12885.

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2017A multi-factor predictive model for oil-US stock nexus with persistence, endogeneity and conditional heteroscedasticity effects. (2017). Salisu, Afees ; Oloko, Tirimisiyu ; Swaray, Raymond. In: Working Papers. RePEc:cui:wpaper:0024.

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2019Forecasting daily electricity prices with monthly macroeconomic variables. (2019). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia. In: Working Paper Series. RePEc:ecb:ecbwps:20192250.

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2018Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS. (2018). Zhao, Xin ; Kang, Wanglin ; Ding, Lili ; Han, Meng. In: Applied Energy. RePEc:eee:appene:v:216:y:2018:i:c:p:132-141.

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2018The macroeconomic and fiscal implications of inflation forecast errors. (2018). Tavlas, George ; Gibson, Heather ; Hall, Stephen G ; Dellas, Harris. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:93:y:2018:i:c:p:203-217.

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2018Forecasting the prices of crude oil using the predictor, economic and combined constraints. (2018). Yi, Yongsheng ; Huang, Dengshi ; Zhang, Yaojie ; Ma, Feng. In: Economic Modelling. RePEc:eee:ecmode:v:75:y:2018:i:c:p:237-245.

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2019Intraday momentum and stock return predictability: Evidence from China. (2019). Zhang, Yaojie ; Zhu, BO ; Ma, Feng. In: Economic Modelling. RePEc:eee:ecmode:v:76:y:2019:i:c:p:319-329.

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2018Are low-frequency data really uninformative? A forecasting combination perspective. (2018). Ma, Feng ; Zhang, Yaojie ; Liu, LI. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:44:y:2018:i:c:p:92-108.

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2019Forecasting using random subspace methods. (2019). Boot, Tom ; Nibbering, Didier. In: Journal of Econometrics. RePEc:eee:econom:v:209:y:2019:i:2:p:391-406.

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2019Dynamic Bayesian predictive synthesis in time series forecasting. (2019). McAlinn, Kenichiro ; West, Mike. In: Journal of Econometrics. RePEc:eee:econom:v:210:y:2019:i:1:p:155-169.

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2019Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors. (2019). Jensen, Mark ; Fisher, Mark. In: Journal of Econometrics. RePEc:eee:econom:v:210:y:2019:i:1:p:187-202.

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2017On Bayesian analysis and unit root testing for autoregressive models in the presence of multiple structural breaks. (2017). Tzavalis, Elias ; Vrontos, Ioannis ; Meligkotsidou, Loukia. In: Econometrics and Statistics. RePEc:eee:ecosta:v:4:y:2017:i:c:p:70-90.

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2019Testing subspace Granger causality. (2019). Al-Sadoon, Majid M. In: Econometrics and Statistics. RePEc:eee:ecosta:v:9:y:2019:i:c:p:42-61.

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2017Predicting international stock returns with conditional price-to-fundamental ratios. (2017). Lawrenz, Jochen ; Zorn, Josef. In: Journal of Empirical Finance. RePEc:eee:empfin:v:43:y:2017:i:c:p:159-184.

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2018Equity premium predictions with many predictors: A risk-based explanation of the size and value factors. (2018). Stivers, Adam . In: Journal of Empirical Finance. RePEc:eee:empfin:v:45:y:2018:i:c:p:126-140.

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2018Momentum of return predictability. (2018). Wang, Yudong ; Diao, Xundi ; Ma, Feng ; Liu, LI. In: Journal of Empirical Finance. RePEc:eee:empfin:v:45:y:2018:i:c:p:141-156.

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2018Forecasting stock market returns by summing the frequency-decomposed parts. (2018). Verona, Fabio ; Faria, Gonalo. In: Journal of Empirical Finance. RePEc:eee:empfin:v:45:y:2018:i:c:p:228-242.

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2018Oil and the short-term predictability of stock return volatility. (2018). Yin, Libo ; Wang, Yudong ; Wu, Chongfeng ; Wei, YU. In: Journal of Empirical Finance. RePEc:eee:empfin:v:47:y:2018:i:c:p:90-104.

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2017Predictability and diversification benefits of investing in commodity and currency futures. (2017). Potì, Valerio ; cotter, john ; Poti, Valerio ; Eyiah-Donkor, Emmanuel . In: International Review of Financial Analysis. RePEc:eee:finana:v:50:y:2017:i:c:p:52-66.

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2017Equity premium estimates from economic fundamentals under structural breaks. (2017). Smith, Simon. In: International Review of Financial Analysis. RePEc:eee:finana:v:52:y:2017:i:c:p:49-61.

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2017On the short-term predictability of stock returns: A quantile boosting approach. (2017). Pierdzioch, Christian ; Demirer, Riza ; Zhang, Huacheng . In: Finance Research Letters. RePEc:eee:finlet:v:22:y:2017:i:c:p:35-41.

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2017Equity premium prediction: The role of economic and statistical constraints. (2017). Tsiakas, Ilias ; Li, Jiahan. In: Journal of Financial Markets. RePEc:eee:finmar:v:36:y:2017:i:c:p:56-75.

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2018Forecasting the equity risk premium: The importance of regime-dependent evaluation. (2018). Baltas, Nick ; Karyampas, Dimitrios . In: Journal of Financial Markets. RePEc:eee:finmar:v:38:y:2018:i:c:p:83-102.

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2019Exchange rate comovements, hedging and volatility spillovers on new EU forex markets. (2019). Kočenda, Evžen ; Moravcova, Michala ; Koenda, Even. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:58:y:2019:i:c:p:42-64.

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2017Quantile regression forecasts of inflation under model uncertainty. (2017). Korobilis, Dimitris. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:11-20.

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2017Adaptive models and heavy tails with an application to inflation forecasting. (2017). Petrella, Ivan ; Delle Monache, Davide. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:2:p:482-501.

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2017Model and survey estimates of the term structure of US macroeconomic uncertainty. (2017). Galvão, Ana ; Clements, Michael ; Galvo, Ana Beatriz. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:3:p:591-604.

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2018Using low frequency information for predicting high frequency variables. (2018). Marcellino, Massimiliano ; Guérin, Pierre ; Foroni, Claudia. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:4:p:774-787.

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2017Maximum likelihood estimation of the equity premium. (2017). Avdis, Efstathios ; Wachter, Jessica A. In: Journal of Financial Economics. RePEc:eee:jfinec:v:125:y:2017:i:3:p:589-609.

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2019An anatomy of the market return. (2019). Schneider, Paul. In: Journal of Financial Economics. RePEc:eee:jfinec:v:132:y:2019:i:2:p:325-350.

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2017Dynamic correlations between BRIC and U.S. stock markets: The asymmetric impact of volatility expectations in oil, gold and financial markets. (2017). Soytas, Ugur ; Sarı, Ramazan ; Gormus, Alper ; Sari, Ramazan ; Kocaarslan, Baris. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:7:y:2017:i:c:p:41-56.

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2018Oil shocks and stock return volatility. (2018). Bachmeier, Lance ; Nadimi, Soheil R. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:68:y:2018:i:c:p:1-9.

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2018Stock return predictability and model instability: Evidence from mainland China and Hong Kong. (2018). Hong, Hui ; Ryan, James ; Obrien, Fergal ; Chen, Naiwei. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:68:y:2018:i:c:p:132-142.

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2018Regime shifts and stock return predictability. (2018). Hammerschmid, Regina ; Lohre, Harald. In: International Review of Economics & Finance. RePEc:eee:reveco:v:56:y:2018:i:c:p:138-160.

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2019Empirical analysis of intertemporal relations between downside risks and expected returns—Evidence from Asian markets. (2019). Chiang, Thomas C. In: Research in International Business and Finance. RePEc:eee:riibaf:v:47:y:2019:i:c:p:264-278.

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2019Large Bayesian vector autoregressions. (2019). Chan, Joshua. In: CAMA Working Papers. RePEc:een:camaaa:2019-19.

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2018Bayesian vector autoregressions. (2018). Ricco, Giovanni ; Miranda-Agrippino, Silvia. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:87393.

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2019Effectiveness and Sustainability of Grain Price Support Policies in China. (2019). Lyu, Jie ; Li, Xiaolei. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:9:p:2478-:d:226421.

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2017Identification, Instruments, Omitted Variables, and Rudimentary Models: Fallacies in the ‘Experimental Approach’ to Econometrics. (2017). Biorn, Erik. In: Memorandum. RePEc:hhs:osloec:2017_013.

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2017Permanent Breaks and Temporary Shocks in a Time Series. (2017). Brorsen, B ; Lee, Yoonsuk . In: Computational Economics. RePEc:kap:compec:v:49:y:2017:i:2:d:10.1007_s10614-015-9554-z.

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2018Presentation and Testing of the Creeping Trend with Harmonic Weights Method in the Light of Sovereign CDS Prices. (2018). Geczi-Papp, Renata . In: Theory Methodology Practice (TMP). RePEc:mic:tmpjrn:v:14:y:2018:i:02:p:25-37.

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2017Forecasting stock market returns by summing the frequency-decomposed parts. (2017). Verona, Fabio ; Faria, Gonalo. In: CEF.UP Working Papers. RePEc:por:cetedp:1702.

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2017An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series. (2017). Song, Yong ; Maheu, John. In: MPRA Paper. RePEc:pra:mprapa:79211.

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2018Forecasting with High-Dimensional Panel VARs. (2018). Koop, Gary ; Korobilis, Dimitris. In: MPRA Paper. RePEc:pra:mprapa:84275.

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2018Variational Bayes inference in high-dimensional time-varying parameter models. (2018). Korobilis, Dimitris ; Koop, Gary. In: MPRA Paper. RePEc:pra:mprapa:87972.

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2019Testing for Episodic Predictability in Stock Returns. (2019). Taylor, Robert ; Rodrigues, Paulo ; Robert, A M ; Georgiev, Iliyan ; Demetrescu, Matei. In: Working Papers. RePEc:ptu:wpaper:w201906.

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2017Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model. (2017). Stengos, Thanasis ; POLEMIS, MICHAEL. In: Working Paper series. RePEc:rim:rimwps:17-07.

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2018Forecasting with High-Dimensional Panel VARs. (2018). Korobilis, Dimitris ; Koop, Gary. In: Working Paper series. RePEc:rim:rimwps:18-20.

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2018Machine Learning Macroeconometrics: A Primer. (2018). Korobilis, Dimitris. In: Working Paper series. RePEc:rim:rimwps:18-30.

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2018Variational Bayes inference in high-dimensional time-varying parameter models. (2018). Korobilis, Dimitris ; Koop, Gary. In: Working Paper series. RePEc:rim:rimwps:18-31.

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2019How useful are historical data for forecasting the long-run equity return distribution?. (2007). . In: Working Paper series. RePEc:rim:rimwps:19-07.

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2017Testing for State-Dependent Predictive Ability. (2017). Fossati, Sebastian. In: Working Papers. RePEc:ris:albaec:2017_009.

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2018Spillovers from US monetary policy: Evidence from a time-varying parameter GVAR model. (2018). Huber, Florian ; Feldkircher, Martin ; Doppelhofer, Gernot ; Crespo Cuaresma, Jesus. In: Working Papers in Economics. RePEc:ris:sbgwpe:2018_006.

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2018Bayesian vector autoregressions. (2018). Ricco, Giovanni ; Miranda-Agrippino, Silvia. In: Sciences Po publications. RePEc:spo:wpmain:info:hdl:2441/27od5pb99881folvtfs8s3k16l.

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2017Permanent shocks and forecasting with moving averages. (2017). Brorsen, B ; Lee, Yoonsuk . In: Applied Economics. RePEc:taf:applec:v:49:y:2017:i:12:p:1213-1225.

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2018Combined Density Nowcasting in an Uncertain Economic Environment. (2018). van Dijk, Herman ; Ravazzolo, Francesco ; Aastveit, Knut Are. In: Journal of Business & Economic Statistics. RePEc:taf:jnlbes:v:36:y:2018:i:1:p:131-145.

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2017Forecasting Using Random Subspace Methods. (2017). Boot, Tom ; Nibbering, Didier . In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20160073.

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2017A Bayesian Infinite Hidden Markov Vector Autoregressive Model. (2017). van der Wel, Michel ; Nibbering, Didier ; Paap, Richard. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20160107.

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2018The Evolution of Forecast Density Combinations in Economics. (2018). Mitchell, James ; van Dijk, Herman ; Ravazzolo, Francesco ; Aastveit, Knut Are. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20180069.

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2018Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies. (2018). Basturk, Nalan ; van Dijk, Herman ; Hoogerheide, Lennart ; Grassi, Stefano ; Borowska, Agnieszka. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20180076.

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2018The role of tourism toward economic growth in the local economy. (2018). Bashir, Abdul. In: Economic Journal of Emerging Markets. RePEc:uii:journl:v:10:y:2018:i:1:p:32-39.

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2017The relationship between macroeconomic variables and small-and-medium- enterprises in Indonesia. (2017). Cahyadin, Malik. In: Economic Journal of Emerging Markets. RePEc:uii:journl:v:9:y:2017:i:1:p:40-50.

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2018A scoring rule for factor and autoregressive models under misspecification. (2018). Casarin, Roberto ; Sartore, Domenico ; Ravazzolo, Francesco ; Corradin, Fausto. In: Working Papers. RePEc:ven:wpaper:2018:18.

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2019Steady‐state modeling and macroeconomic forecasting quality. (2019). Louzis, Dimitrios. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:34:y:2019:i:2:p:285-314.

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2018Bayesian Vector Autoregressions. (2018). Ricco, Giovanni ; Miranda-Agrippino, Silvia. In: The Warwick Economics Research Paper Series (TWERPS). RePEc:wrk:warwec:1159.

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Works by Davide Pettenuzzo:


YearTitleTypeCited
2014Optimal portfolio choice under decision-based model combinations In: Working Paper.
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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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2016Optimal Portfolio Choice Under Decision‐Based Model Combinations.(2016) In: Journal of Applied Econometrics.
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2016Bayesian Compressed Vector Autoregressions In: Working Papers.
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2016Bayesian Compressed Vector Autoregressions.(2016) In: Working Papers.
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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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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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2018Forecasting Stock Returns: A Predictor-Constrained Approach.(2018) In: Working Papers.
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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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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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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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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: 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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2005Learning, Structural Instability and Present Value Calculations.(2005) 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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2011Predictability of stock returns and asset allocation under structural breaks In: Journal of Econometrics.
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