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Mauricio Zevallos

Personal Details

First Name:Mauricio
Middle Name:
Last Name:Zevallos
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RePEc Short-ID:pze77
[This author has chosen not to make the email address public]

Affiliation

Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica

http://www.ime.unicamp.br/
Campinas, Sao Paulo, Brazil

Research output

as
Jump to: Working papers Articles

Working papers

  1. Marc Hallin & Luis K. Hotta & João H. G Mazzeu & Carlos Cesar Trucios-Maza & Pedro L. Valls Pereira & Mauricio Zevallos, 2019. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: a General Dynamic Factor Approach," Working Papers ECARES 2019-14, ULB -- Universite Libre de Bruxelles.
  2. Zevallos, Mauricio & Villarreal, Fernanda & Del Carpio, Carlos & Abbara, Omar, 2014. "Influencia de los precios de los metales y el mercado internacional en el riesgo bursátil peruano," Working Papers 2014-023, Banco Central de Reserva del Perú.

Articles

  1. Abbara Omar & Zevallos Mauricio, 2023. "Estimation and forecasting of long memory stochastic volatility models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(1), pages 1-24, February.
  2. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
  3. Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
  4. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
  5. Mauricio Zevallos, 2019. "A Note on Forecasting Daily Peruvian Stock Market VolatilityRisk Using Intraday Returns," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 94-101.
  6. Omar Abbara & Mauricio Zevallos, 2018. "Modeling and forecasting intraday VaR of an exchange rate portfolio," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 729-738, November.
  7. Mauricio Zevallos & Fernanda Villarreal & Carlos Del Carpio & Omar Abbara, 2017. "Metal Prices and International Market Risk in the Peruvian Stock Market," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 87-104.
  8. Mauricio Zeballos & Carlos del Carpio, 2015. "Metal Returns, Stock Returns and Stock Market Volatility," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 38(75), pages 101-122.
  9. Omar Abbara & Mauricio Zevallos, 2014. "Assessing stock market dependence and contagion," Quantitative Finance, Taylor & Francis Journals, vol. 14(9), pages 1627-1641, September.
  10. Zevallos, Mauricio & Palma, Wilfredo, 2013. "Minimum distance estimation of ARFIMA processes," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 242-256.
  11. Wilfredo Palma & Mauricio Zevallos, 2011. "Fitting non‐Gaussian persistent data," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(1), pages 23-36, January.
  12. Del Carpio, Carlos & Zevallos, Mauricio, 2010. "Estimación de capital por riesgo de precio: Evaluandometodologías para el caso peruano," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 19, pages 47-62.
  13. Mauricio Zevallos, 2008. "Estimación del riesgo bursátil peruano," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, issue 62, pages 109-126.
  14. Wilfredo Palma & Mauricio Zevallos, 2004. "Analysis of the correlation structure of square time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(4), pages 529-550, July.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marc Hallin & Luis K. Hotta & João H. G Mazzeu & Carlos Cesar Trucios-Maza & Pedro L. Valls Pereira & Mauricio Zevallos, 2019. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: a General Dynamic Factor Approach," Working Papers ECARES 2019-14, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    2. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    3. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    4. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.

Articles

  1. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    See citations under working paper version above.
  2. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.

    Cited by:

    1. Lucien Boulet, 2021. "Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs," Papers 2109.01044, arXiv.org.
    2. Prayut Jain & Shashi Jain, 2019. "Can Machine Learning-Based Portfolios Outperform Traditional Risk-Based Portfolios? The Need to Account for Covariance Misspecification," Risks, MDPI, vol. 7(3), pages 1-27, July.
    3. Michael Curran & Patrick O'Sullivan & Ryan Zalla, 2020. "Can Volatility Solve the Naive Portfolio Puzzle?," Papers 2005.03204, arXiv.org, revised Feb 2022.

  3. Omar Abbara & Mauricio Zevallos, 2018. "Modeling and forecasting intraday VaR of an exchange rate portfolio," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 729-738, November.

    Cited by:

    1. Gong, Yuting & Ma, Chao & Chen, Qiang, 2022. "Exchange rate dependence and economic fundamentals: A Copula-MIDAS approach," Journal of International Money and Finance, Elsevier, vol. 123(C).
    2. Leonard Arvi & Herman Manakyan & Kashi Khazeh, 2023. "Estimated Impact of Covid-19 on Exchange Rate Risk of Multinational Enterprises Operating in Emerging Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 23-29, July.
    3. Xiaolei He & Weiguo Zhang, 2024. "Vine copula‐based scenario tree generation approaches for portfolio optimization," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1936-1955, September.
    4. William E. Nganje & Linda D. Burbidge & Elisha K. Denkyirah & Elvis M. Ndembe, 2021. "Predicting Food-Safety Risk and Determining Cost-Effective Risk-Reduction Strategies," JRFM, MDPI, vol. 14(9), pages 1-18, September.
    5. Esparcia, Carlos & López, Raquel, 2024. "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, vol. 69(C).

  4. Mauricio Zeballos & Carlos del Carpio, 2015. "Metal Returns, Stock Returns and Stock Market Volatility," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 38(75), pages 101-122.

    Cited by:

    1. Maquieira, Carlos P. & Espinosa-Méndez, Christian & Gahona-Flores, Orlando, 2023. "How does economic policy uncertainty (EPU) impact copper-firms stock returns? International evidence," Resources Policy, Elsevier, vol. 81(C).
    2. Tursoy, Turgut & Faisal, Faisal & Berk, Niyazi & Shahbaz, Muhammad, 2018. "How do Stock Prices and Metal Prices Contribute to Economic Activity in Turkey? The Importance of Linear and Non-linear ARDL," MPRA Paper 88899, University Library of Munich, Germany.
    3. Mauricio Zevallos & Fernanda Villarreal & Carlos Del Carpio & Omar Abbara, 2017. "Metal Prices and International Market Risk in the Peruvian Stock Market," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 87-104.

  5. Omar Abbara & Mauricio Zevallos, 2014. "Assessing stock market dependence and contagion," Quantitative Finance, Taylor & Francis Journals, vol. 14(9), pages 1627-1641, September.

    Cited by:

    1. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Andrieş, Alin Marius & Ongena, Steven & Sprincean, Nicu & Tunaru, Radu, 2022. "Risk spillovers and interconnectedness between systemically important institutions," Journal of Financial Stability, Elsevier, vol. 58(C).
    3. Rehman, Mobeen Ur & Ahmad, Nasir & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2022. "Dependence dynamics of stock markets during COVID-19," Emerging Markets Review, Elsevier, vol. 51(PB).
    4. Han, Xuyuan & Liu, Zhenya & Wang, Shixuan, 2022. "An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting," Journal of Commodity Markets, Elsevier, vol. 25(C).
    5. Cathy Ning & Wanling Huang, 2018. "Is the potential for inter- and intro- continental diversification disappearing? A vine copula approach," Working Papers 092, Toronto Metropolitan University, Department of Economics.
    6. Huang, Wanling & Mollick, André Varella & Nguyen, Khoa Huu, 2016. "U.S. stock markets and the role of real interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 231-242.
    7. Kjersti Aas, 2016. "Pair-Copula Constructions for Financial Applications: A Review," Econometrics, MDPI, vol. 4(4), pages 1-15, October.
    8. Wanling Huang & André Varella Mollick & Khoa Huu Nguyen, 2017. "Dynamic responses and tail-dependence among commodities, the US real interest rate and the dollar," Empirical Economics, Springer, vol. 53(3), pages 959-997, November.
    9. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.

  6. Zevallos, Mauricio & Palma, Wilfredo, 2013. "Minimum distance estimation of ARFIMA processes," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 242-256.

    Cited by:

    1. Baillie, Richard T. & Kapetanios, George & Papailias, Fotis, 2014. "Bandwidth selection by cross-validation for forecasting long memory financial time series," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 129-143.
    2. Baillie, Richard T. & Kapetanios, George & Papailias, Fotis, 2014. "Modified information criteria and selection of long memory time series models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 116-131.

  7. Del Carpio, Carlos & Zevallos, Mauricio, 2010. "Estimación de capital por riesgo de precio: Evaluandometodologías para el caso peruano," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 19, pages 47-62.

    Cited by:

    1. Mauricio Zevallos, 2019. "A Note on Forecasting Daily Peruvian Stock Market VolatilityRisk Using Intraday Returns," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 94-101.
    2. Mauricio Zevallos & Fernanda Villarreal & Carlos Del Carpio & Omar Abbara, 2017. "Metal Prices and International Market Risk in the Peruvian Stock Market," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 87-104.

  8. Mauricio Zevallos, 2008. "Estimación del riesgo bursátil peruano," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, issue 62, pages 109-126.

    Cited by:

    1. Alberto Humala & Gabriel Rodriguez, 2011. "Some Stylized Facts of Returns in the Foreign Exchange and Stock Markets in Peru," Documentos de Trabajo / Working Papers 2011-325, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Mauricio Zevallos, 2019. "A Note on Forecasting Daily Peruvian Stock Market VolatilityRisk Using Intraday Returns," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 94-101.
    3. Mauricio Zevallos & Fernanda Villarreal & Carlos Del Carpio & Omar Abbara, 2017. "Metal Prices and International Market Risk in the Peruvian Stock Market," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 87-104.

  9. Wilfredo Palma & Mauricio Zevallos, 2004. "Analysis of the correlation structure of square time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(4), pages 529-550, July.

    Cited by:

    1. Giraitis, Liudas & Leipus, Remigijus & Robinson, Peter M. & Surgailis, Donatas, 2004. "LARCH, leverage, and long memory," LSE Research Online Documents on Economics 294, London School of Economics and Political Science, LSE Library.
    2. Carmen Broto & Esther Ruiz, 2008. "Testing for conditional heteroscedasticity in the components of inflation," Working Papers 0812, Banco de España.
    3. Broto, Carmen, 2006. "Using auxiliary residuals to detect conditional heteroscedasticity in inflation," DES - Working Papers. Statistics and Econometrics. WS ws060402, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Giraitis, Liudas & Leipus, Remigijus & Robinson, Peter M. & Surgailis, Donatas, 2003. "LARCH, leverage and long memory," LSE Research Online Documents on Economics 2020, London School of Economics and Political Science, LSE Library.
    5. Liudas Giraitis, 2004. "LARCH, Leverage, and Long Memory," Journal of Financial Econometrics, Oxford University Press, vol. 2(2), pages 177-210.
    6. Menelaos Karanasos & J. Kim, "undated". "Moments of the ARMA-EGARCH Model," Discussion Papers 00/29, Department of Economics, University of York.
    7. Liudas Giraitis & Remigijus Leipus & Peter M Robinson & Donatas Surgailis, 2003. "LARCH, Leverage and Long Memory," STICERD - Econometrics Paper Series 460, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2019-06-10
  2. NEP-ETS: Econometric Time Series (1) 2019-06-10
  3. NEP-RMG: Risk Management (1) 2019-07-22

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