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Pinho J. Ribeiro

Personal Details

First Name:Pinho
Middle Name:J.
Last Name:Ribeiro
Suffix:
RePEc Short-ID:pri319
[This author has chosen not to make the email address public]
https://www.sites.google.com/site/pinhojribeiro/
Terminal Degree: Department of Economics; Adam Smith Business School; University of Glasgow (from RePEc Genealogy)

Affiliation

Department of Economics
Adam Smith Business School
University of Glasgow

Glasgow, United Kingdom
http://www.gla.ac.uk/subjects/economics/

: 0141 330 4618
0141 330 4940
Adam Smith Building, Glasgow G12 8RT
RePEc:edi:dpglauk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Claudia Foroni & Francesco Ravazzolo & Pinho J. Ribeiro, 2015. "Forecasting commodity currencies: the role of fundamentals with short-lived predictive content," Working Paper 2015/14, Norges Bank.
  2. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," Working Papers 2014_16, Business School - Economics, University of Glasgow.
  3. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "Exchange Rate Predictability in a Changing World," Working Papers 2014_03, Business School - Economics, University of Glasgow.

Articles

  1. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
  2. Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016. "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 1-24.

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. Claudia Foroni & Francesco Ravazzolo & Pinho J. Ribeiro, 2015. "Forecasting commodity currencies: the role of fundamentals with short-lived predictive content," Working Paper 2015/14, Norges Bank.

    Cited by:

    1. Roberto Casarin & Claudia Foroni & Massimiliano Marcellino & Francesco Ravazzolo, 2016. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," Working Papers 585, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

  2. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," Working Papers 2014_16, Business School - Economics, University of Glasgow.

    Cited by:

    1. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2017. "Do Bivariate Multifractal Models Improve Volatility Forecasting in Financial Time Series? An Application to Foreign Exchange and Stock Markets," Working Papers 201728, University of Pretoria, Department of Economics.
    2. Byrne, Joseph P & Ibrahim, Boulis Maher & Sakemoto, Ryuta, 2017. "The Time-Varying Risk Price of Currency Carry Trades," MPRA Paper 80788, University Library of Munich, Germany.
    3. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    4. David Alan Peel & Pantelis Promponas, 2016. "Forecasting the nominal exchange rate movements in a changing world. The case of the U.S. and the U.K," Working Papers 144439514, Lancaster University Management School, Economics Department.

  3. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "Exchange Rate Predictability in a Changing World," Working Papers 2014_03, Business School - Economics, University of Glasgow.

    Cited by:

    1. Huber, Florian, 2017. "Structural breaks in Taylor rule based exchange rate models — Evidence from threshold time varying parameter models," Economics Letters, Elsevier, vol. 150(C), pages 48-52.
    2. Francesco Ravazzolo & Tommy Sveen & Sepideh K. Zahiri, 2016. "Commodity Futures and Forecasting Commodity Currencies," Working Papers No 7/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    3. Florian Huber & Thomas Zörner, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Papers wuwp250, Vienna University of Economics and Business, Department of Economics.
    4. David Alan Peel & Pantelis Promponas, 2016. "Forecasting the nominal exchange rate movements in a changing world. The case of the U.S. and the U.K," Working Papers 144439514, Lancaster University Management School, Economics Department.
    5. Alfredo Bateman y Javier E. Martinez & Javier Esteban Martinez, 2010. "Cuaderno 4: Análisis de las fuentes de oferta y demanda en el mercado de divisas," CUADERNOS DE DESARROLLO ECONOMICO 007586, SECRETARÍA DISTRITAL DE DESARROLLO ECONÓMICO.
    6. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2017. "The Role of Economic Uncertainty in Forecasting Exchange Rate Returns and Realized Volatility: Evidence from Quantile Predictive Regressions," Working Papers 201774, University of Pretoria, Department of Economics.
    7. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," Center for European, Governance and Economic Development Research Discussion Papers 326, University of Goettingen, Department of Economics.

Articles

  1. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.

    Cited by:

    1. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.

  2. Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016. "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 1-24.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 4 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-FOR: Forecasting (4) 2014-03-01 2014-11-17 2014-12-08 2015-11-15. Author is listed
  2. NEP-MAC: Macroeconomics (3) 2014-03-01 2014-11-17 2014-12-08. Author is listed
  3. NEP-CBA: Central Banking (1) 2014-03-01. Author is listed
  4. NEP-INT: International Trade (1) 2014-03-01. Author is listed
  5. NEP-MON: Monetary Economics (1) 2014-03-01. Author is listed
  6. NEP-OPM: Open Economy Macroeconomics (1) 2014-03-01. Author is listed
  7. NEP-ORE: Operations Research (1) 2014-03-01. Author is listed
  8. NEP-UPT: Utility Models & Prospect Theory (1) 2014-11-17. Author is listed

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