Title :
Triangular arbitrage in foreign exchange rate forecasting markets
Author :
Wang, Feng ; Li, Yuanxiang ; Liang, Li ; Li, Kangshun
Author_Institution :
Dept. of Comput. Sci., Wuhan Univ., Wuhan
Abstract :
The non-existence of triangular arbitrage in an efficient foreign exchange markets is widely believed. In this paper, we deploy a forecasting model to predict foreign exchange rates and apply the triangular arbitrage model to evaluate the possibility of an arbitrage opportunity. Surprisingly, we substantiate the existence of triangular arbitrage opportunities in the exchange rate forecasting market even with transaction costs. This also implies the inefficiency of the market and potential market threats of profit-seeking investors. In our experiments, neural network based model with back-propagation (BP-NN) is used for exchange rate forecasting.
Keywords :
backpropagation; economic forecasting; exchange rates; forecasting theory; neural nets; backpropagation neural network; foreign exchange rate forecasting markets; potential market threats; profit-seeking investors; transaction costs; triangular arbitrage; Autocorrelation; Costs; Economic forecasting; Exchange rates; Frequency; Neural networks; Prediction algorithms; Predictive models; Testing;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631114