EconPapers    
Economics at your fingertips  
 

INDIVIDUAL FOREIGN EXCHANGE INVESTORS, RETURN PREDICTABILITY AND MARKET TIMING

Moustafa Abuelfadl ()
Additional contact information
Moustafa Abuelfadl: School of Business, Ithaca College, 953 Donby Road, Ithaca, NY 14850, USA

Annals of Financial Economics (AFE), 2017, vol. 12, issue 01, 1-28

Abstract: This study tests whether individual foreign exchange (Forex) investors can predict future returns, time the market and generate alpha after transaction costs. Using a sample of 1,231 Forex trading accounts and 72,072 trades, the results show that individual Forex investors can predict future returns up to eight days after trade execution, even after controlling for Volatility. The results of return predictability are significant because they support the idea that linear independence is rejected as well as provide empirical evidence that private information is available in the foreign exchange market.

Keywords: International finance; exchange rates; foreign currency; foreign exchange; money price; peg; PPP; risk premia; spot rate; forecasting exchange rates (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S2010495217500014
Access to full text is restricted to subscribers

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:wsi:afexxx:v:12:y:2017:i:01:n:s2010495217500014

Ordering information: This journal article can be ordered from

DOI: 10.1142/S2010495217500014

Access Statistics for this article

Annals of Financial Economics (AFE) is currently edited by Michael McAleer

More articles in Annals of Financial Economics (AFE) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:afexxx:v:12:y:2017:i:01:n:s2010495217500014