Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US
Yoichi Tsuchiya
Journal of International Financial Markets, Institutions and Money, 2016, vol. 44, issue C, 116-127
Abstract:
This study examines the asymmetry of the loss function in Chinese renminbi exchange rate forecasts and tests the rationality of the forecasts, assuming a possibly asymmetric loss function. The results indicate that the majority of forecasters have asymmetric loss adverse to US dollar appreciation and the direction of asymmetry is associated with institutional bases, in particular, those in the US. It is consistent with the facts that RMB is often said to be undervalued and there are political conflicts between China and its largest trade partner, the US. This study also finds evidence of rationality under an asymmetric loss function. It implies that those forecasters efficiently use the information in key exchange rate indicators.
Keywords: Rationality; Exchange rate; Forecast evaluation; Emerging markets; Managed float; Peso problem (search for similar items in EconPapers)
JEL-codes: D84 F31 F37 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042443116300403
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:44:y:2016:i:c:p:116-127
DOI: 10.1016/j.intfin.2016.05.001
Access Statistics for this article
Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely
More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().