Marcelo C. Medeiros : Citation Profile


Are you Marcelo C. Medeiros?

University of Illinois at Urbana-Champaign

18

H index

27

i10 index

1338

Citations

RESEARCH PRODUCTION:

59

Articles

91

Papers

2

Chapters

RESEARCH ACTIVITY:

   23 years (2000 - 2023). See details.
   Cites by year: 58
   Journals where Marcelo C. Medeiros has often published
   Relations with other researchers
   Recent citing documents: 112.    Total self citations: 74 (5.24 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pme53
   Updated: 2024-01-16    RAS profile: 2023-10-07    
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Relations with other researchers


Works with:

Fan, Jianqing (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Marcelo C. Medeiros.

Is cited by:

GUPTA, RANGAN (53)

Asai, Manabu (26)

Degiannakis, Stavros (23)

Chang, Chia-Lin (22)

Santucci de Magistris, Paolo (21)

Allen, David (20)

Audrino, Francesco (16)

Filis, George (15)

Claveria, Oscar (14)

Demirer, Riza (14)

van Dijk, Dick (13)

Cites to:

Bollerslev, Tim (113)

Teräsvirta, Timo (68)

Andersen, Torben (66)

Diebold, Francis (59)

Engle, Robert (32)

Shephard, Neil (30)

Hansen, Peter (28)

Lunde, Asger (25)

van Dijk, Dick (24)

Fan, Jianqing (23)

Bai, Jushan (21)

Main data


Where Marcelo C. Medeiros has published?


Journals with more than one article published# docs
Journal of Econometrics9
Brazilian Review of Econometrics7
Econometric Reviews7
International Journal of Forecasting6
Journal of Business & Economic Statistics4
Brazilian Review of Finance4
Economics Letters2
Journal of Economic Surveys2
Journal of Applied Econometrics2
Computational Statistics & Data Analysis2
Journal of the American Statistical Association2
Economia2
Journal of Time Series Analysis2

Working Papers Series with more than one paper published# docs
Textos para discussão / Department of Economics PUC-Rio (Brazil)36
Papers / arXiv.org14
Econometric Institute Research Papers / Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute6
SSE/EFI Working Paper Series in Economics and Finance / Stockholm School of Economics5
Textos para discussão / FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil)4
CIRJE F-Series / CIRJE, Faculty of Economics, University of Tokyo4
CARF F-Series / Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo2
Discussion Papers / Instituto de Pesquisa Econômica Aplicada - IPEA2
Computing in Economics and Finance 2002 / Society for Computational Economics2
KIER Working Papers / Kyoto University, Institute of Economic Research2

Recent works citing Marcelo C. Medeiros (2024 and 2023)


YearTitle of citing document
2023.

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2024Practical and robust $t$-test based inference for synthetic control and related methods. (2019). Wüthrich, Kaspar ; Chernozhukov, Victor ; Wuthrich, Kaspar. In: Papers. RePEc:arx:papers:1812.10820.

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2023Predicting Inflation with Neural Networks. (2021). Paranhos, Livia. In: Papers. RePEc:arx:papers:2104.03757.

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2023Performance of Empirical Risk Minimization for Linear Regression with Dependent Data. (2021). Brownlees, Christian ; Gudhmundsson, Gudhmundur Stef'An. In: Papers. RePEc:arx:papers:2104.12127.

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2023Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes. (2021). Rachev, Svetlozar T ; Lindquist, Brent W ; Mittnik, Stefan ; Shirvani, Abootaleb. In: Papers. RePEc:arx:papers:2109.15051.

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2023Testing for long-range dependence in non-stationary time series time-varying regression. (2021). Wu, Weichi ; Bai, Lujia. In: Papers. RePEc:arx:papers:2110.08089.

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2023Distributional Counterfactual Analysis in High-Dimensional Setup. (2022). Masini, Ricardo . In: Papers. RePEc:arx:papers:2202.11671.

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2023What does machine learning say about the drivers of inflation?. (2022). Kohlscheen, Emanuel. In: Papers. RePEc:arx:papers:2208.14653.

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2023Local Projection Inference in High Dimensions. (2022). Wilms, Ines ; Smeekes, Stephan ; Adamek, Robert. In: Papers. RePEc:arx:papers:2209.03218.

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2023Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications. (2022). Mlikota, Marko. In: Papers. RePEc:arx:papers:2211.13610.

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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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2023Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors. (2023). Trapin, Luca ; Sun, LI ; Hambuckers, Julien. In: Papers. RePEc:arx:papers:2301.01362.

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2023Sparse High-Dimensional Vector Autoregressive Bootstrap. (2023). Wilms, Ines ; Smeekes, Stephan ; Adamek, Robert. In: Papers. RePEc:arx:papers:2302.01233.

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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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2023Optimal probabilistic forecasts for risk management. (2023). Martin, Gael M ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Sun, Yuru. In: Papers. RePEc:arx:papers:2303.01651.

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2023Statistical Estimation for Covariance Structures with Tail Estimates using Nodewise Quantile Predictive Regression Models. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2305.11282.

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2023Volatility jumps and the classification of monetary policy announcements. (2023). Gallo, Giampiero ; Otranto, Edoardo ; Lacava, Demetrio. In: Papers. RePEc:arx:papers:2305.12192.

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2023Generalized Autoregressive Score Trees and Forests. (2023). Simsek, Yasin ; Patton, Andrew J. In: Papers. RePEc:arx:papers:2305.18991.

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2023Expected Shortfall LASSO. (2023). Barendse, Sander. In: Papers. RePEc:arx:papers:2307.01033.

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2023Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. (2023). Dong, Xiaowen ; Cucuringu, Mihai ; Pu, Xingyue ; Zhang, Chao. In: Papers. RePEc:arx:papers:2308.01419.

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2023Econometrics of Machine Learning Methods in Economic Forecasting. (2023). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: Papers. RePEc:arx:papers:2308.10993.

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2023High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2308.16192.

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2023Dynamic Realized Minimum Variance Portfolio Models. (2023). Oh, Minseog ; Kim, Donggyu. In: Papers. RePEc:arx:papers:2310.13511.

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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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2023A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls. (2023). Fry, Joseph. In: Papers. RePEc:arx:papers:2312.01209.

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2024Structural Analysis of Vector Autoregressive Models. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2312.06402.

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2023.

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2023Colombian inflation forecast using Long Short-Term Memory approach. (2023). Cristiano-Botia, Deicy J ; Cardenas-Cardenas, Julian Alonso ; Martinez-Cortes, Nicolas. In: Borradores de Economia. RePEc:bdr:borrec:1241.

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2023A pulse check on recent developments in time series econometrics. (2023). Chan, Felix ; Oxley, Les. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:1:p:3-6.

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2023Synthetic Control Method: A tool for comparative case studies in economic history. (2023). Spruk, Rok ; Garoupa, Nuno ; Emery, Thomas ; Gilchrist, David. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:2:p:409-445.

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2023Exploring Okuns law asymmetry: An endogenous threshold logistic smooth transition regression approach. (2023). McAdam, Peter ; Tzavalis, Elias ; Christopoulos, Dimitris. In: Oxford Bulletin of Economics and Statistics. RePEc:bla:obuest:v:85:y:2023:i:1:p:123-158.

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2023Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?. (2023). Funke, Michael ; Tasane, Helery ; Mannasoo, Kadri. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10557.

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2023Volatility jumps and the classification of monetary policy announcements. (2023). Gallo, Giampiero ; Otranto, E ; Lacava, D. In: Working Paper CRENoS. RePEc:cns:cnscwp:202306.

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2023Density forecasts of inflation: a quantile regression forest approach. (2023). Paredes, Joan ; Moutachaker, Ines ; Lenza, Michele. In: Working Paper Series. RePEc:ecb:ecbwps:20232830.

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2023Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms. (2023). Abdallah, Mohammed Galal ; Aly, Hamdy Ahmad ; Mohamed, Mohamed Ahmed ; Arafat, Nabil Medhat ; Abdelraouf, Ibrahim Abdalla ; Elgohari, Mohamed Ibrahim. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2023-06-71.

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2023Short- and long-term forecasting for building energy consumption considering IPMVP recommendations, WEO and COP27 scenarios. (2023). Rodrigues, Rafael Nilson ; Cordeiro, Pedro Cesar ; Orsi, Gustavo Cardoso ; Luiz, Vinicius Viana ; Avila, Sergio Luciano ; Dos, Deilson Martins ; Santos, Greicili Dos. In: Applied Energy. RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003446.

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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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2023The role of uncertainty in forecasting volatility comovements across stock markets. (2023). Palomba, Giulio ; Rossi, Eduardo ; Bucci, Andrea. In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001219.

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2023Structural inference in sparse high-dimensional vector autoregressions. (2023). Trenkler, C ; Paparoditis, E ; Krampe, J. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:1:p:276-300.

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2023Forward-selected panel data approach for program evaluation. (2023). Huang, Jingyi ; Shi, Zhentao. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:2:p:512-535.

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2023Synthetic Learner: Model-free inference on treatments over time. (2023). Bradic, Jelena ; Viviano, Davide. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:2:p:691-713.

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2023Modeling realized covariance measures with heterogeneous liquidity: A generalized matrix-variate Wishart state-space model. (2023). Hartkopf, Jan Patrick ; Gribisch, Bastian. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:1:p:43-64.

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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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2023Bayesian estimation of realized GARCH-type models with application to financial tail risk management. (2023). , Edward ; Watanabe, Toshiaki. In: Econometrics and Statistics. RePEc:eee:ecosta:v:28:y:2023:i:c:p:30-46.

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2023Unrestricted maximum likelihood estimation of multivariate realized volatility models. (2023). Golosnoy, Vasyl ; Vogler, Jan. In: European Journal of Operational Research. RePEc:eee:ejores:v:304:y:2023:i:3:p:1063-1074.

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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 global stock market volatilities in an uncertain world. (2023). Zhang, Ting ; Wang, Gang-Jin ; Zeng, Zhi-Jian ; Xie, Chi ; Li, Zhao-Chen. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s1057521922004136.

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2023Risk appetite and option prices: Evidence from the Chinese SSE50 options market. (2023). Sui, Cong ; Wang, Shouyang ; Liu, Qing. In: International Review of Financial Analysis. RePEc:eee:finana:v:86:y:2023:i:c:s1057521923000571.

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2023Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model. (2023). Li, Lihong ; Zhang, LI. In: International Review of Financial Analysis. RePEc:eee:finana:v:88:y:2023:i:c:s1057521923002247.

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2023A three-factor stochastic model for forecasting production of energy materials. (2023). Orlando, Giuseppe ; Bufalo, Michele. In: Finance Research Letters. RePEc:eee:finlet:v:51:y:2023:i:c:s1544612322005347.

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2023Forecast Targeting and Financial Stability: Evidence from the European Central Bank and Bank of England. (2023). Murgia, Lucia Milena ; Curi, Claudia. In: Finance Research Letters. RePEc:eee:finlet:v:51:y:2023:i:c:s1544612322006626.

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2023Challenging golden standards in EWMA smoothing parameter calibration based on realized covariance measures. (2023). Reh, Laura ; Hartkopf, Jan Patrick. In: Finance Research Letters. RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323005019.

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2023Climate risks and realized volatility of major commodity currency exchange rates. (2023). GUPTA, RANGAN ; Pierdzioch, Christian ; Cepni, Oguzhan ; Bonato, Matteo. In: Journal of Financial Markets. RePEc:eee:finmar:v:62:y:2023:i:c:s1386418122000519.

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2023Discovering the drivers of stock market volatility in a data-rich world. (2023). Ryu, Doojin ; Cho, Hoon ; Chun, Dohyun. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:82:y:2023:i:c:s1042443122001561.

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2023Nowcasting food inflation with a massive amount of online prices. (2023). Szafranek, Karol ; Stelmasiak, Damian ; Macias, Pawe. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:809-826.

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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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2023Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data. (2023). Montes, Erik Christian ; Rapach, David E ; Borup, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1122-1144.

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2023Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks. (2023). Benchimol, Jonathan ; Koenigstein, Noam ; Hammer, Allon ; Cohen, Eliya ; Caspi, Itamar ; Barkan, Oren. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1145-1162.

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2023Penalized estimation of panel vector autoregressive models: A panel LASSO approach. (2023). Camehl, Annika. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1185-1204.

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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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2023Precious metal as a safe haven for global ESG stocks: Portfolio implications for socially responsible investing. (2023). Ye, Jing ; Liu, Huiling ; Xue, Minggao ; Lei, Heng. In: Resources Policy. RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722006134.

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2023Dynamic spillover between traditional energy markets and emerging green markets: Implications for sustainable development. (2023). Ren, Xiaohang ; Duan, Xiaoping ; Taghizadeh-Hesary, Farhad ; Xiao, YA. In: Resources Policy. RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723001915.

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2023Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models. (2023). Gaglianone, Wagner ; Araujo, Gustavo Silva. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:4:y:2023:i:2:s2666143823000042.

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2023Firm-level business uncertainty and the predictability of the aggregate U.S. stock market volatility during the COVID-19 pandemic. (2023). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza ; van Eyden, Renee. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:88:y:2023:i:c:p:295-302.

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2023Trading strategies and the frequency of time-series. (2023). Isaenko, Sergey. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:90:y:2023:i:c:p:267-283.

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2023Cloning mutual fund returns. (2023). Niemann, Sebastian ; Schuhmacher, Frank ; Auer, Benjamin R. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:90:y:2023:i:c:p:31-37.

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2023Stock market volatility prediction: Evidence from a new bagging model. (2023). Huang, Dengshi ; Xu, Weiju ; Bu, Jinfeng ; Luo, Qin. In: International Review of Economics & Finance. RePEc:eee:reveco:v:87:y:2023:i:c:p:445-456.

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2023Oil futures volatility prediction: Bagging or combination?. (2023). Zhang, Jixiang ; Ma, Feng ; Lyu, Zhichong. In: International Review of Economics & Finance. RePEc:eee:reveco:v:87:y:2023:i:c:p:457-467.

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2023Machine learning sentiment analysis, COVID-19 news and stock market reactions. (2023). Pelizzon, Loriana ; Nofer, Michael ; Hinz, Oliver ; Costola, Michele. In: Research in International Business and Finance. RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531923000077.

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2023Optimization of Short-Term Forecast of Electric Power Demand in the city of Yaoundé-Cameroon by a hybrid model based on the combination of neural networks and econometric methods from a designed energ. (2023). Claude, Aloyem Kaze ; Hermann, Djeudjo Temene ; Franck, Talla Konchou ; Dieudonne, Nzoko Tayo ; Rene, Tchinda. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007338.

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2023Comparing the Simple to Complex Automatic Methods with the Ensemble Approach in Forecasting Electrical Time Series Data. (2023). Yudhanto, Yudho ; Sulandari, Winita ; Rodrigues, Paulo Canas ; Hapsari, Riskhia ; Setiawan, Crisma Devika ; Subanti, Sri. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:22:p:7495-:d:1276497.

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2023Macroeconomic and Uncertainty Shocks’ Effects on Energy Prices: A Comprehensive Literature Review. (2023). Spyromitros, Eleftherios ; Panagiotidis, Minas ; Oikonomou, Georgios ; Dokas, Ioannis. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1491-:d:1055891.

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2023.

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2023.

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2023Predicting Raw Milk Price Based on Depth Time Series Features for Consumer Behavior Analysis. (2023). Li, Cuixia ; Zuo, Anmin. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:8:p:6647-:d:1123429.

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2023Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects. (2023). Semie, Addisu Gezahegn ; Chaka, Mesfin Diro ; Benti, Natei Ermias. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:9:p:7087-:d:1130894.

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2023Augmented Difference-in-Differences. (2023). van den Bulte, Christophe ; Li, Kathleen T. In: Marketing Science. RePEc:inm:ormksc:v:42:y:2023:i:4:p:746-767.

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2023A Quasi Synthetic Control Method for Nonlinear Models. (2023). Wu, Zixuan ; Lin, Ming ; Fang, Ying ; Cai, Zongwu. In: WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS. RePEc:kan:wpaper:202305.

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2023Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors. (2023). Gooijer, Jan G. ; de Gooijer, Jan G. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:1:d:10.1007_s10614-022-10289-9.

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2023Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth. (2023). Qureshi, Shafiullah ; Chu, BA. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:4:d:10.1007_s10614-022-10312-z.

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2023Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach. (2023). Bijnens, Gert ; Konings, Jozef ; Karimov, Shyngys. In: De Economist. RePEc:kap:decono:v:171:y:2023:i:1:d:10.1007_s10645-023-09418-y.

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2023The Effect of the Great Recession on Italian Life Expectancy. (2023). Carboni, Gianni ; Benassi, Federico ; Salinari, Giambattista. In: Population Research and Policy Review. RePEc:kap:poprpr:v:42:y:2023:i:1:d:10.1007_s11113-023-09755-5.

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2023Improving out-of-sample Forecasts of Stock Price Indexes with Forecast Reconciliation and Clustering. (2023). Mattera, Raffaele ; Hyndman, Rob J ; Athanasopoulos, George. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2023-17.

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2023Technological Shocks and Stock Market Volatility Over a Century: A GARCH-MIDAS Approach. (2023). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza. In: Working Papers. RePEc:pre:wpaper:202308.

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2023Stock Market Volatility and Multi-Scale Positive and Negative Bubbles. (2023). Pierdzioch, Christian ; Nielsen, Joshua ; Nel, Jacobus ; Gupta, Rangan. In: Working Papers. RePEc:pre:wpaper:202310.

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2023Financial Stress and Realized Volatility: The Case of Agricultural Commodities. (2023). Pierdzioch, Christian ; Gupta, Rangan ; Cepni, Oguzhan ; Bonato, Matteo. In: Working Papers. RePEc:pre:wpaper:202320.

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2023ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting. (2023). Lima, Gilberto ; Matos, Joao Vitor ; Alexandre, Michel. In: Working Papers, Department of Economics. RePEc:spa:wpaper:2023wpecon13.

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2023Forecasting the term structure of commodities future prices using machine learning. (2023). Saporito, Yuri F ; Figueiredo, Mario. In: Digital Finance. RePEc:spr:digfin:v:5:y:2023:i:1:d:10.1007_s42521-022-00069-3.

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2023Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models. (2023). Hartkopf, Jan Patrick. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:1:d:10.1007_s00181-022-02245-1.

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2023Phillips curve and the exchange rate pass-through: a time–frequency approach. (2023). Ferreira, Roberto Tatiwa ; Alves, Weider Loureto. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:5:d:10.1007_s00181-022-02317-2.

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2023Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility. (2023). Cho, Dooyeon ; Rho, Seunghwa ; Baillie, Richard T. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:6:d:10.1007_s00181-022-02357-8.

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2023Big data forecasting of South African inflation. (2023). Steenkamp, Daan ; Rankin, Neil ; Kotze, Kevin ; Burger, Rulof ; Botha, Byron. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:1:d:10.1007_s00181-022-02329-y.

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2023The impact of pandemic on dynamic volatility spillover network of international stock markets. (2023). Shao, Liuguo ; Lan, Tingting ; Yuan, Caijun ; Zhang, Hua. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:5:d:10.1007_s00181-023-02422-w.

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2023Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach. (2023). GUPTA, RANGAN ; Pierdzioch, Christian. In: Financial Innovation. RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-022-00435-5.

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2023The effect of intraday periodicity on realized volatility measures. (2023). Kellermann, Janosch ; Golosnoy, Vasyl ; Dette, Holger. In: Metrika: International Journal for Theoretical and Applied Statistics. RePEc:spr:metrik:v:86:y:2023:i:3:d:10.1007_s00184-022-00875-0.

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2023ESG performance, herding behavior and stock market returns: evidence from Europe. (2023). Floros, Christos ; Gavrilakis, Nektarios. In: Operational Research. RePEc:spr:operea:v:23:y:2023:i:1:d:10.1007_s12351-023-00745-1.

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2023Predicting inflation component drivers in Nigeria: a stacked ensemble approach. (2023). Anthony, Abel ; Joshua, Jeremiah D ; Taiwo, Oyedamola F ; Akanni, Elijah O ; Akande, Emmanuel O. In: SN Business & Economics. RePEc:spr:snbeco:v:3:y:2023:i:1:d:10.1007_s43546-022-00384-2.

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

Works by Marcelo C. Medeiros:


YearTitleTypeCited
2012Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models In: CREATES Research Papers.
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2016Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models.(2016) In: Journal of Business & Economic Statistics.
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2012Asymptotic Theory for Regressions with Smoothly Changing Parameters In: CREATES Research Papers.
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2013Asymptotic Theory for Regressions with Smoothly Changing Parameters.(2013) In: Journal of Time Series Econometrics.
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2012Estimating High-Dimensional Time Series Models In: CREATES Research Papers.
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2012Estimating High-Dimensional Time Series Models..(2012) In: Textos para discussão.
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2012Lets Do It Again: Bagging Equity Premium Predictors In: CREATES Research Papers.
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2012Let´s do it again: bagging equity premium predictors.(2012) In: Textos para discussão.
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2014Estimation and Forecasting of Large Realized Covariance Matrices and Portfolio Choice In: CREATES Research Papers.
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paper0
2014Estimation and Forecasting of Large Realized Covariance Matrices and Portfolio Choice.(2014) In: Tinbergen Institute Discussion Papers.
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2015Structure and asymptotic theory for nonlinear models with GARCH erros In: Economia.
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2011Structure and Asymptotic theory for Nonlinear Models with GARCH Errors.(2011) In: Econometric Institute Research Papers.
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2015Is the convergence of the manufacturing sector unconditional? In: Economia.
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2020BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions In: Papers.
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2013Estimating Strategic Complementarity in a State-Dependent Pricing Model In: Working Papers Series.
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2011Estimating Strategic Complementarity in a State-Dependent Pricing Model.(2011) In: 2011 Meeting Papers.
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2004Local Global Neural Networks: A New Approach for Nonlinear Time Series Modeling In: Journal of the American Statistical Association.
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2003Local-global neural networks: a new approach for nonlinear time series modelling.(2003) In: Textos para discussão.
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2001Diagnostic Checking in a Flexible Nonlinear Time Series Model.(2001) In: SSE/EFI Working Paper Series in Economics and Finance.
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2014Parametric Portfolio Selection: Evaluating and Comparing to Markowitz Portfolios In: Brazilian Review of Finance.
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2014Economic gains of realized volatility in the Brazilian stock market In: Brazilian Review of Finance.
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2014Economic gains of realized volatility in the Brazilian stock market.(2014) In: Textos para discussão.
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2006Modeling and Forecasting the Volatility of Brazilian Asset Returns: a Realized Variance Approach In: Brazilian Review of Finance.
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2006Foreign Exchange Rate Futures Trends: Foreign Exchange Risk or Systematic Forecasting Errors? In: Brazilian Review of Finance.
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2010A Note on Nonlinear Cointegration, Misspecification and Bimodality In: Working Papers in Economics.
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2014A Note on Nonlinear Cointegration, Misspecification, and Bimodality.(2014) In: Econometric Reviews.
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2010Modelling and Forecasting Noisy Realized Volatility In: Working Papers in Economics.
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2012Modelling and forecasting noisy realized volatility.(2012) In: Computational Statistics & Data Analysis.
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2011Modelling and Forecasting Noisy Realized Volatility.(2011) In: Econometric Institute Research Papers.
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2011Modelling and Forecasting Noisy Realized Volatility.(2011) In: KIER Working Papers.
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2009Modelling and Forecasting Noisy Realized Volatility.(2009) In: CIRJE F-Series.
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2010Asymmetry and Long Memory in Volatility Modelling In: Working Papers in Economics.
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2010Asymmetry and Long Memory in Volatility Modelling.(2010) In: Econometric Institute Research Papers.
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2010Asymmetry and Long Memory in Volatility Modelling.(2010) In: KIER Working Papers.
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2012Asymmetry and Long Memory in Volatility Modeling.(2012) In: The Journal of Financial Econometrics.
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2009Asymmetry and Leverage in Realized Volatility In: CARF F-Series.
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2008Asymmetry and leverage in realized volatility.(2008) In: Econometric Institute Research Papers.
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2009Asymmetry and Leverage in Realized Volatility.(2009) In: CIRJE F-Series.
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2009Forecasting Realized Volatility with Linear and Nonlinear Models In: CARF F-Series.
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2009Forecasting Realized Volatility with Linear and Nonlinear Models.(2009) In: Econometric Institute Research Papers.
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2010Forecasting Realized Volatility with Linear and Nonlinear Models.(2010) In: Textos para discussão.
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2009Forecasting Realized Volatility with Linear and Nonlinear Models.(2009) In: CIRJE F-Series.
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2009MODELING MULTIPLE REGIMES IN FINANCIAL VOLATILITY WITH A FLEXIBLE COEFFICIENT GARCH(1,1) MODEL In: Econometric Theory.
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article19
2008Tree-structured smooth transition regression models In: Computational Statistics & Data Analysis.
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2016Forecasting macroeconomic variables in data-rich environments In: Economics Letters.
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article4
2016Instrument selection for estimation of a forward-looking Phillips Curve In: Economics Letters.
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article1
2008A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries In: Journal of Econometrics.
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2007A multiple regime smooth transition heterogeneous autoregressive model for long memory and asymmetries.(2007) In: Textos para discussão.
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2008A neural network demand system with heteroskedastic errors In: Journal of Econometrics.
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2008An alternative approach to estimating demand: Neural network regression with conditional volatility for high frequency air passenger arrivals In: Journal of Econometrics.
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article21
2011Moment-based estimation of smooth transition regression models with endogenous variables In: Journal of Econometrics.
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2008Moment-bases estimation of smooth transition regression models with endogenous variables.(2008) In: Econometric Institute Research Papers.
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2010Moment-based estimation of smooth transition regression models with endogenous variables.(2010) In: Textos para discussão.
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2009Moment-Based Estimation of Smooth Transition Regression Models with Endogenous Variables.(2009) In: CIRJE F-Series.
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2011Linear programming-based estimators in simple linear regression In: Journal of Econometrics.
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2010Linear Programming-Based Estimators in Simple Linear Regression.(2010) In: Textos para discussão.
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2016?1-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors In: Journal of Econometrics.
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2018ArCo: An artificial counterfactual approach for high-dimensional panel time-series data In: Journal of Econometrics.
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2017Arco: an artificial counterfactual approach for high-dimensional panel time-series data.(2017) In: Textos para discussão.
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2016ARCO: an artificial counterfactual approach for high-dimensional panel time-series data.(2016) In: Textos para discussão.
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2022From zero to hero: Realized partial (co)variances In: Journal of Econometrics.
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2022Jumps in stock prices: New insights from old data In: Journal of Financial Markets.
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2005Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination In: International Journal of Forecasting.
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2004Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination.(2004) In: SSE/EFI Working Paper Series in Economics and Finance.
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2004Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination.(2004) In: Textos para discussão.
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2005Reply In: International Journal of Forecasting.
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2008Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data In: International Journal of Forecasting.
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article56
2009Asymmetric effects and long memory in the volatility of Dow Jones stocks In: International Journal of Forecasting.
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2006Asymmetric effects and long memory in the volatility of Dow Jones stocks.(2006) In: Textos para discussão.
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2017Real-time inflation forecasting with high-dimensional models: The case of Brazil In: International Journal of Forecasting.
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article26
2014Modeling and predicting the CBOE market volatility index In: Journal of Banking & Finance.
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article115
2013Modeling and predicting the CBOE market volatility index.(2013) In: Textos para discussão.
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2007Modeling and predicting the CBOE market volatility index.(2007) In: Textos para discussão.
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2013A (semi-)parametric functional coefficient autoregressive conditional duration model In: Textos para discussão.
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2006A (semi-)parametric functional coefficient autoregressive conditional duration model.(2006) In: Textos para discussão.
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2017The perils of counterfactual analysis with integrated processes In: Textos para discussão.
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2016The perils of Counterfactual Analysis with Integrated Processes.(2016) In: Textos para discussão.
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2005Monetary Policy During Brazil´s Real Plan: Estimating the Central Bank´s Reaction Function In: Revista Brasileira de Economia - RBE.
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2001Monetary policy during Brazil´s Real Plan: estimating the Central Bank´s reaction function.(2001) In: Textos para discussão.
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2000A Flexible Coefficient Smooth Transition Time Series Model In: SSE/EFI Working Paper Series in Economics and Finance.
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2000A Combinatorial Approach to Piecewise Linear Time Series Analysis In: SSE/EFI Working Paper Series in Economics and Finance.
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2006Building neural network models for time series: a statistical approach.(2006) In: Journal of Forecasting.
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2016O Impacto de Anúncios Econômicos no Mercado Futuro Brasileiro de Ações, Juros e Câmbio In: Discussion Papers.
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2000Modelling exchange rates: smooth transitions, neural networks, and linear models In: Textos para discussão.
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2002Evaluating the performance of GARCH models using White´s Reality Check In: Textos para discussão.
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2003Three-structured smooth transition regression models based on CART algorithm In: Textos para discussão.
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2003Formação de preços de commodities: padrões de vinculação dos preços internos ao externos In: Textos para discussão.
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paper2
2004Modelling multiple regimes in financial volatility with a flexible coefficient GARCH model In: Textos para discussão.
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2005Modelling and forecasting short-term electricity load: a two step methodology In: Textos para discussão.
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2006Modeling and forecasting the volatility of Brazilian asset returns In: Textos para discussão.
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2006Realized volatility: a review In: Textos para discussão.
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2008Realized Volatility: A Review.(2008) In: Econometric Reviews.
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2007ESTIMATION AND ASYMPTOTIC THEORY FOR A NEW CLASS OF MIXTURE MODELS In: Textos para discussão.
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2007Forecasting realized volatility models:the benefits of bagging and nonlinear specifications In: Textos para discussão.
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2010Linearity Testing Against a Fuzzy Rule-based Model In: Textos para discussão.
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2010Modeling and Forecasting Short-term Interest Rates: The Benefits of Smooth Regimes, Macroeconomic Variables, and Bagging In: Textos para discussão.
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2011Modeling and forecasting short?term interest rates: The benefits of smooth regimes, macroeconomic variables, and bagging.(2011) In: Journal of Applied Econometrics.
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2010Nonlinear Cointegration, Misspecification and Bimodality In: Textos para discussão.
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2014Price Discovery in Brazilian FX Markets In: Textos para discussão.
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2015Price Discovery in Brazilian FX Markets.(2015) In: Brazilian Review of Econometrics.
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2014The impact of macroeconomic announcements in the Brazilian futures markets In: Textos para discussão.
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2015l1-Regularization of High-Dimensional Time-Series Models with Flexible Innovations In: Textos para discussão.
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2015Adaptative LASSO estimation for ARDL models with GARCH innovations In: Textos para discussão.
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2017Adaptive LASSO estimation for ARDL models with GARCH innovations.(2017) In: Econometric Reviews.
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2005Evaluating the Forecasting Performance of GARCH Models Using White’s Reality Check In: Brazilian Review of Econometrics.
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2007In?ation Dynamics in Brazil: The Case of a Small Open Economy In: Brazilian Review of Econometrics.
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2013Nonlinear Error Correction Models With an Application to Commodity Prices In: Brazilian Review of Econometrics.
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2015Unobserved Heterogeneity in Regression Models: A Semiparametric Approach Based on Nonlinear Sieves In: Brazilian Review of Econometrics.
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2016The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets In: Brazilian Review of Econometrics.
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2016Forecasting Brazilian Inflation with High-Dimensional Models In: Brazilian Review of Econometrics.
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2010The Link Between Statistical Learning Theory and Econometrics: Applications in Economics, Finance, and Marketing In: Econometric Reviews.
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2016A (Semi)Parametric Functional Coefficient Logarithmic Autoregressive Conditional Duration Model In: Econometric Reviews.
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