Optimal investment in the foreign exchange market with proportional transaction costs

2011 ◽  
Vol 11 (4) ◽  
pp. 631-640 ◽  
Author(s):  
Luitgard A. M. Veraart
2011 ◽  
Vol 3 (4) ◽  
pp. 85-111 ◽  
Author(s):  
Stephen Gilmore ◽  
Fumio Hayashi

We consider the excess return from 20 internationally tradable emerging market (EM) currencies against the US dollar. It has two contributions. First, we document stylized facts about EM currencies. EM currencies have provided significant equity-like excess returns against major currencies, but with low volatility. Picking EM currencies with a relatively high forward premium raises the portfolio return substantially. Second, our calculation incorporates institutional features of the foreign exchange market, such as lags in settling spot contracts, FX swaps, and bid/offer spreads. Transaction costs arising from bid/offer spreads are less than one-fifth of what is typically presumed in the literature. (JEL C58, F31, G15)


2017 ◽  
Vol 12 (01) ◽  
pp. 1750001 ◽  
Author(s):  
MOUSTAFA ABUELFADL

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.


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1129-1144
Author(s):  
Bichith C. Sekhar ◽  
A. Umamaheswari

The foreign exchange market (Forex, FX, or currency market) is a global decentralized market for the trading of currencies. The foreign exchange market assists international trade and investments by enabling currency conversion. Our study is to test the technical tools to analyze about the technical impact and its return in the market.  For this purpose 13 cross currency pairs were taken as sample size and Jensen’s Alpha, Beta, Relative Strength Index, and Buy and Hold Abnormal Return were used as technical tool for analysis and the conclusion is that it’s not preferred to invest in JPY pairs as the volatility and the return are not up to the mark and its preferred to invest in EURCAD as the return was high when compared to other scripts and the market was moving accordingly to its cross currency pair.


2009 ◽  
Author(s):  
Ron Jongen ◽  
Christian C. P. Wolff ◽  
Remco C. J. Zwinkels ◽  
Willem F. C. Verschoor

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