Roberto S. Mariano : Citation Profile


Are you Roberto S. Mariano?

Singapore Management University (50% share)
University of Pennsylvania (50% share)

14

H index

17

i10 index

6589

Citations

RESEARCH PRODUCTION:

30

Articles

34

Papers

1

Books

22

Chapters

EDITOR:

3

Books edited

RESEARCH ACTIVITY:

   53 years (1970 - 2023). See details.
   Cites by year: 124
   Journals where Roberto S. Mariano has often published
   Relations with other researchers
   Recent citing documents: 379.    Total self citations: 10 (0.15 %)

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   Permalink: http://citec.repec.org/pma174
   Updated: 2024-04-18    RAS profile: 2023-12-05    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Roberto S. Mariano.

Is cited by:

GUPTA, RANGAN (139)

Marcellino, Massimiliano (96)

Clark, Todd (59)

Swanson, Norman (57)

Kapetanios, George (48)

Diebold, Francis (42)

Perez Quiros, Gabriel (41)

Camacho, Maximo (41)

Ravazzolo, Francesco (39)

Kilian, Lutz (39)

Weron, Rafał (39)

Cites to:

Kaminsky, Graciela (24)

Reinhart, Carmen (23)

Eichengreen, Barry (20)

Rose, Andrew (16)

Woodford, Michael (15)

Obstfeld, Maurice (12)

Frankel, Jeffrey (11)

Shambaugh, Jay (10)

Taylor, Alan (10)

Diebold, Francis (10)

wachter, susan (9)

Main data


Where Roberto S. Mariano has published?


Journals with more than one article published# docs
Econometrica5
Philippine Review of Economics4
International Economic Review3
Journal of Econometrics3
Journal of Applied Econometrics2
Journal of Business & Economic Statistics2

Working Papers Series with more than one paper published# docs
UP School of Economics Discussion Papers / University of the Philippines School of Economics7
Working Papers / Singapore Management University, School of Economics7
Finance Working Papers / East Asian Bureau of Economic Research4

Recent works citing Roberto S. Mariano (2024 and 2023)


YearTitle of citing document
2023Message in a Bottle: Forecasting wine prices. (2023). Meloni, Giulia ; Leccadito, Arturo ; Iania, Leonardo ; Algieri, Bernardina. In: LIDAM Discussion Papers LFIN. RePEc:ajf:louvlf:2023004.

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

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

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

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

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2023Forecasting financial markets with semantic network analysis in the COVID-19 crisis. (2020). Violante, Francesco ; Ravazzolo, F ; Grassi, S ; Colladon, Fronzetti A. In: Papers. RePEc:arx:papers:2009.04975.

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2023Inference and forecasting for continuous-time integer-valued trawl processes and their use in financial economics. (2021). , Almut ; Shephard, Neil ; Lunde, Asger ; Bennedsen, Mikkel. In: Papers. RePEc:arx:papers:2107.03674.

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2023Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices. (2022). Ricco, Giovanni ; Pellegrino, Filippo ; Hasenzagl, Thomas ; Reichlin, Lucrezia. In: Papers. RePEc:arx:papers:2201.05556.

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2023Inferential Theory for Granular Instrumental Variables in High Dimensions. (2022). Lee, Tae Hwy ; Banafti, Saman. In: Papers. RePEc:arx:papers:2201.06605.

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2023Volatility forecasting with machine learning and intraday commonality. (2022). Zhang, Chao ; Qian, Zhongmin ; Cucuringu, Mihai. In: Papers. RePEc:arx:papers:2202.08962.

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2023Tail-GAN: Nonparametric Scenario Generation for Tail Risk Estimation. (2022). Cont, Rama ; Zhang, Chao ; Xu, Renyuan ; Cucuringu, Mihai. In: Papers. RePEc:arx:papers:2203.01664.

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2024Ensemble distributional forecasting for insurance loss reserving. (2022). Xian, Alan ; Wong, Bernard ; Li, Yanfeng ; Avanzi, Benjamin. In: Papers. RePEc:arx:papers:2206.08541.

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2024Dynamic Co-Quantile Regression. (2022). Hoga, Yannick ; Dimitriadis, Timo. In: Papers. RePEc:arx:papers:2206.14275.

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2024Factor Network Autoregressions. (2022). Cavaliere, Giuseppe ; Moramarco, Graziano ; Barigozzi, Matteo. In: Papers. RePEc:arx:papers:2208.02925.

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

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

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

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2023Score-based calibration testing for multivariate forecast distributions. (2022). Pohle, Marc-Oliver ; Kruger, Fabian ; Knuppel, Malte. In: Papers. RePEc:arx:papers:2211.16362.

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2023Efficient Sampling for Realized Variance Estimation in Time-Changed Diffusion Models. (2022). Streicher, Sina ; Polivka, Jeannine ; Halbleib, Roxana ; Dimitriadis, Timo. In: Papers. RePEc:arx:papers:2212.11833.

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

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2023Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions. (2023). Huber, Florian ; Pruser, Jan. In: Papers. RePEc:arx:papers:2301.13604.

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

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

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2023Constructing High Frequency Economic Indicators by Imputation. (2023). Scanlan, Susannah ; Ng, Serena. In: Papers. RePEc:arx:papers:2303.01863.

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2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019.

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2023Network log-ARCH models for forecasting stock market volatility. (2023). Otto, Philipp ; Mattera, Raffaele. In: Papers. RePEc:arx:papers:2303.11064.

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2023sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings. (2023). Gibberd, Alex ; Chan, Tak-Shing ; Mosley, Luke. In: Papers. RePEc:arx:papers:2303.14125.

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

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

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2023Nowcasting with signature methods. (2023). Mantoan, Giulia ; Malpass, Will ; Lui, Silvia ; Cohen, Samuel N ; Yang, Lingyi ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Nesheim, Lars. In: Papers. RePEc:arx:papers:2305.10256.

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2023Precision versus Shrinkage: A Comparative Analysis of Covariance Estimation Methods for Portfolio Allocation. (2023). Jain, Shashi ; Dutta, Sumanjay. In: Papers. RePEc:arx:papers:2305.11298.

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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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2023Matrix GARCH Model: Inference and Application. (2023). Zhu, KE ; Jiang, Feiyu ; Li, Dong ; Yu, Cheng. In: Papers. RePEc:arx:papers:2306.05169.

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2023Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects. (2023). Ziel, Florian ; Hirsch, Simon. In: Papers. RePEc:arx:papers:2306.13419.

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2023Panel Data Nowcasting: The Case of Price-Earnings Ratios. (2023). Striaukas, Jonas ; Ghysels, Eric ; Ball, Ryan T ; Babii, Andrii. In: Papers. RePEc:arx:papers:2307.02673.

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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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2023Forecasting inflation using disaggregates and machine learning. (2023). Medeiros, Marcelo C ; Boaretto, Gilberto. In: Papers. RePEc:arx:papers:2308.11173.

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2023Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?. (2023). Weron, Rafal ; Nitka, Weronika. In: Papers. RePEc:arx:papers:2308.15443.

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2023Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting. (2023). Morajda, Janusz ; Kwiatkowski, Lukasz ; Micha, Jakub. In: Papers. RePEc:arx:papers:2310.01063.

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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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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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2023What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?. (2023). Taskin, Temel ; Gosselin, Marc-Andre. In: Discussion Papers. RePEc:bca:bocadp:23-13.

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2023Bayesian Local Projections. (2023). Ricco, Giovanni ; Ferreira, Leonardo ; Miranda-Agrippino, Silvia. In: Working Papers Series. RePEc:bcb:wpaper:581.

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2023El ISAE: Un Indicador para Monitorear la Actividad Económica Colombiana en Alta Frecuencia. (2023). Pulido-Mahecha, Karen ; Cote-Barón, Juan ; Rojas-Martinez, Carlos D ; Rodriguez-Rodriguez, Nicol Valeria ; Cote-Baron, Juan Pablo. In: Borradores de Economia. RePEc:bdr:borrec:1225.

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2023Satellites Turn “Concrete”: Tracking Cement with Satellite Data and Neural Networks. (2023). Meunier, Baptiste ; Baptiste, Meunier ; Benjamin, Lietti ; Jean-Charles, Bricongne ; Simon, Ben Arous ; Alexandre, Aspremont. In: Working papers. RePEc:bfr:banfra:916.

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2023Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms Forecasts. (2023). Sakellaris, Plutarchos ; Gortz, Christoph ; Botsis, Alexandros. In: Discussion Papers. RePEc:bir:birmec:23-06.

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2023Forecasting swap rate volatility with information from swaptions. (2023). Xie, Jinming ; Liu, Xiaoxi. In: BIS Working Papers. RePEc:bis:biswps:1068.

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2023Correct Comparison of Predictive Features of Machine Learning Models: The Case of Forecasting Inflation Rates in Siberia. (2023). Shevelev, Andrey ; Semiturkin, Oleg. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:82:y:2023:i:1:p:87-103.

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2023Timing the factor zoo via deep learning: Evidence from China. (2023). Jiang, Fuwei ; Liao, Cunfei ; Ma, Tian. In: Accounting and Finance. RePEc:bla:acctfi:v:63:y:2023:i:1:p:485-505.

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2023Investor attention and the predictability of the volatility of CNY?CNH spreads: Evidence from a GARCH?MIDAS model. (2023). Zhang, Zhipeng ; Li, Xiaoping ; Duan, Jihong ; Pan, Junyu. In: Accounting and Finance. RePEc:bla:acctfi:v:63:y:2023:i:5:p:4939-4959.

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2023Predicting stock realized variance based on an asymmetric robust regression approach. (2023). He, Mengxi ; Zhang, Yaojie ; Hao, Xianfeng ; Zhao, Yuqi. In: Bulletin of Economic Research. RePEc:bla:buecrs:v:75:y:2023:i:4:p:1022-1047.

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

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2023Moments of cross?sectional stock market returns and the German business cycle. (2023). Tegtmeier, Lars ; Muller, Karsten ; Dopke, Jorg. In: Economic Notes. RePEc:bla:ecnote:v:52:y:2023:i:2:n:e12219.

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2023Role of weather in the natural gas market: Insights from the STL?GARCH?W method. (2023). Pan, Zhigang ; Huang, Yisu ; Xia, Zhenglan ; Peng, Lijuan. In: International Finance. RePEc:bla:intfin:v:26:y:2023:i:3:p:304-323.

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2023Climate risks and U.S. stock?market tail risks: A forecasting experiment using over a century of data. (2023). Salisu, Afees ; van Eyden, Renee ; Gupta, Rangan ; Pierdzioch, Christian. In: International Review of Finance. RePEc:bla:irvfin:v:23:y:2023:i:2:p:228-244.

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

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

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2023A nonparametric predictive regression model using partitioning estimators based on Taylor expansions. (2023). Olmo, Jose. In: Journal of Time Series Analysis. RePEc:bla:jtsera:v:44:y:2023:i:3:p:294-318.

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2023Forecasting inflation with a zero lower bound or negative interest rates: Evidence from point and density forecasts. (2023). Caporale, Guglielmo Maria ; Anderl, Christina. In: Manchester School. RePEc:bla:manchs:v:91:y:2023:i:3:p:171-232.

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2023Probabilistic Quantile Factor Analysis. (2023). Schrder, Maximilian ; Korobilis, Dimitris. In: Working Papers. RePEc:bny:wpaper:0116.

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2023How to Deal With Missing Observations in Surveys of Professional Forecasters. (2023). Burgi, Constantin. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10203.

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2023Quarterly GDP Estimates for the German States: New Data for Business Cycle Analyses and Long-Run Dynamics. (2023). Lehmann, Robert ; Wikman, Ida. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10280.

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2023READ-GER: Introducing German Real-Time Regional Accounts Data for Revision Analysis and Nowcasting. (2023). Lehmann, Robert. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10315.

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2023Eine Analyse der Konjunkturzyklen für die deutschen Bundesländer. (2023). Lehmann, Robert ; Wikman, Ida. In: ifo Dresden berichtet. RePEc:ces:ifodre:v:30:y:2023:i:02:p:15-21.

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2023Multi-horizon uniform superior predictive ability revisited: A size-exploiting and consistent test. (2023). Wilfling, Bernd ; Monschang, Verena ; Trede, Mark. In: CQE Working Papers. RePEc:cqe:wpaper:10623.

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2023Deep Dynamic Factor Models. (2023). Ricco, Giovanni ; Izzo, Cosimo ; Andreini, Paolo. In: Working Papers. RePEc:crs:wpaper:2023-08.

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2023Nowcasting GDP using tone-adjusted time varying news topics: Evidence from the financial press. (2023). de Winter, Jasper ; van Dijk, Dorinth. In: Working Papers. RePEc:dnb:dnbwpp:766.

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2023Forecasting housing investment. (2023). Gieseck, Arne ; de Bondt, Gabe ; Martinez, Carlos Caizares. In: Working Paper Series. RePEc:ecb:ecbwps:20232807.

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

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2023Short-term load forecasting using neural networks and global climate models: An application to a large-scale electrical power system. (2023). de Queiroz, Anderson Rodrigo ; Marangon, Jose Wanderley ; Dures, Victor Augusto ; Aquila, Giancarlo ; Scianni, Lucas Barros. In: Applied Energy. RePEc:eee:appene:v:348:y:2023:i:c:s0306261923008036.

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2023A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting. (2023). Liu, Jiarui ; Zhang, Xuanrui ; Fu, Yuchen. In: Applied Energy. RePEc:eee:appene:v:348:y:2023:i:c:s0306261923009510.

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2023Cooperative ensemble learning model improves electric short-term load forecasting. (2023). Mariani, Viviana Cocco ; Ribeiro, Gabriel Trierweiler ; da Silva, Ramon Gomes ; Dal, Matheus Henrique ; Santos, Leandro Dos. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922011614.

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2023Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density. (2023). Jach, Agnieszka ; McElroy, Tucker S. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:177:y:2023:i:c:s0167947322001608.

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

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2023Machine learning goes global: Cross-sectional return predictability in international stock markets. (2023). Zaremba, Adam ; Metko, Daniel ; Fieberg, Christian ; Cakici, Nusret. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:155:y:2023:i:c:s0165188923001318.

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2023The global component of headline and core inflation in emerging market economies and its ability to improve forecasting performance. (2023). Molina, Stefano G ; Orraca, Maria Jose ; Arango-Castillo, Lenin. In: Economic Modelling. RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999322003583.

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2023Carbon trading amidst global uncertainty: The role of policy and geopolitical uncertainty. (2023). Adediran, Idris ; Swaray, Raymond. In: Economic Modelling. RePEc:eee:ecmode:v:123:y:2023:i:c:s0264999323000913.

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2023How to foresee crises? A new synthetic index of vulnerabilities for emerging economies. (2023). Molina, Luis ; Alonso-Alvarez, Irma. In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001165.

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

Roberto S. Mariano has edited the books:


YearTitleTypeCited

Works by Roberto S. Mariano:


YearTitleTypeCited
1985FINITE-SAMPLE PROPERTIES OF STOCHASTIC PREDICTORS IN NONLINEAR SYSTEMS: SOME INITIAL RESULTS In: Economic Research Papers.
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1985Finite-Sample Properties in Stochastic Predictors in Nonlinear Systems : Some Initial Results..(1985) In: The Warwick Economics Research Paper Series (TWERPS).
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1995Comparing Predictive Accuracy. In: Journal of Business & Economic Statistics.
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article5289
2002Comparing Predictive Accuracy..(2002) In: Journal of Business & Economic Statistics.
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1994Comparing Predictive Accuracy.(1994) In: NBER Technical Working Papers.
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2006Monetary policy approaches and implementation in Asia: the Philippines and Indonesia In: BIS Papers chapters.
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chapter2
2010A Coincident Index, Common Factors, and Monthly Real GDP* In: Oxford Bulletin of Economics and Statistics.
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article105
2004Prediction of Currency Crises: Case of Turkey In: Review of Middle East Economics and Finance.
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article15
1989Predictors in Dynamic Nonlinear Models: Large-Sample Behavior In: Econometric Theory.
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article22
2007Financial Liberalization and Monetary Policy Cooperation in East Asia1 In: Finance Working Papers.
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paper2
2006Direction-of-Change Forecasts Based on Conditional Variance, Skewness and Kurtosis Dynamics : International Evidence In: Finance Working Papers.
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paper9
2006Direction-of-Change Forecasts Based on Conditional Variance, Skewness and Kurtosis Dynamics : International Evidence.(2006) In: Finance Working Papers.
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This paper has nother version. Agregated cites: 9
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2006Direction-of-Change Forecasts Based on Conditional Variance, Skewness and Kurtosis Dynamics: International Evidence.(2006) In: PIER Working Paper Archive.
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This paper has nother version. Agregated cites: 9
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2006Underpriced Default Spread Exacerbates Market Crashes In: Finance Working Papers.
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2006Underpriced Default Spread Exacerbates Market Crashes.(2006) In: Working Papers.
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2005Sustainable External Debt Levels : Estimates for Selected Asian Countries In: Macroeconomics Working Papers.
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2005Sustainable External Debt Levels: Estimates for Selected Asian Countries.(2005) In: Working Papers.
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2009Misaligned Incentives and Mortgage Lending in Asia In: Microeconomics Working Papers.
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2007Misaligned Incentives and Mortgage Lending in Asia.(2007) In: Working Paper.
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2009Misaligned Incentives and Mortgage Lending in Asia.(2009) In: NBER Chapters.
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This paper has nother version. Agregated cites: 1
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2009Misaligned Incentives and Mortgage Lending in Asia.(2009) In: Working Papers.
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1972The Existence of Moments of the Ordinary Least Squares and Two-Stage Least Squares Estimators. In: Econometrica.
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1973Approximations to the Distribution Functions of the Ordinary Least-Squares and Two-Stage Least-Squares Estimators in the Case of Two Included Endogenous Variables. In: Econometrica.
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