Publicaciones en colaboración con investigadores/as de Universidad de Huelva (13)

2024

  1. How do supply or demand shocks affect the US oil market?

    Financial Innovation, Vol. 10, Núm. 1

2023

  1. Una experiencia de Flipped Classroom en la educación superior: Cuando Los Simpson conocen a Acemoğlu.

    e-pública: revista electrónica sobre la enseñanza de la economía pública, Núm. 33, pp. 21-33

2022

  1. The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest

    International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 7, Núm. 3, pp. 7-19

2021

  1. Influencia del precio de los cigarrillos en España: Un análisis de descomposición Logarithmic Mean Divisia Index desde 1957 hasta 2018

    Revista espanola de salud publica, Vol. 95

  2. Modeling the United States crack spread: Market efficiency, persistence and the Verleger hypothesis

    Energy Sources, Part B: Economics, Planning and Policy, Vol. 16, Núm. 10, pp. 951-970

  3. The impact of the term spread in US monetary policy from 1870 to 2013

    Journal of Policy Modeling, Vol. 43, Núm. 1, pp. 230-251

2020

  1. A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends.

    Energy Economics, Vol. 85

  2. The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach

    International Review of Economics and Finance, Vol. 69, pp. 124-137

  3. The role of eonia in the dynamics of short-term interbank rates

    Panoeconomicus, Vol. 67, Núm. 2, pp. 225-240

  4. U.S. budget deficit sustainability revisited: Long run, persistence, and common trend

    FinanzArchiv, Vol. 76, Núm. 4, pp. 370-395

2018

  1. How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach

    Empirica, Vol. 45, Núm. 4, pp. 685-706

  2. How do foreign income shocks affect the magnitude of Spanish tourism?

    Tourism Economics, Vol. 24, Núm. 7, pp. 839-871

  3. The term structure under non-linearity assumptions: New methods in time series

    Contributions to Management Science (Springer), pp. 117-136