Abstrakti
This paper provides new evidence on the role of exchange rates in forecasting commodity prices. Consistent with previous studies, we find that commodity currencies hold out-of-sample predictive power for commodity prices when using standard linear predictive regressions. After we reconsider the evidence using noncausal autoregressions, which provide a better fit to the data and are able to accommodate the effects of nonlinearities and omitted variables, the predictive power of exchange rates disappears. (C) 2017 Elsevier B.V. All rights reserved.
| Alkuperäiskieli | Englanti |
|---|---|
| Sivut | 424-433 |
| Sivumäärä | 10 |
| Julkaisu | Energy Economics |
| Vuosikerta | 65 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - kesäk. 2017 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
We thank Richard Tol (the Editor), two anonymous referees, Helina Laakkonen, Markku Lanne, Mikko Niemenmaa, Andrew Patton, Barbara Rossi and conference and seminar participants at Aalto University, the Financial Econometrics and Empirical Asset Pricing Conference (Lancaster, 2016), CREST Paris (2015), the 9th and 10th International Conference on Computational and Financial Econometrics (London, 2015; Seville, 2016), the 10th Energy and Finance Conference (London, 2015), the Society for Nonlinear Dynamics and Econometrics (Oslo, 2015), the Nordic Econometric Meeting (Helsinki, 2015) and the Finnish Economic Society (Helsinki, 2015) for useful discussions. The second author is grateful for financial support from the Academy of Finland and the Research Funds of the University of Helsinki.
Sormenjälki
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