Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies

2007 ◽  
Vol 32 (3) ◽  
pp. 271-293 ◽  
Author(s):  
Nikiforos T. Laopodis
Author(s):  
Oleg Vasiurenko ◽  
Vyacheslav Lyashenko ◽  
Valeria Baranova ◽  
Zhanna Deineko

The foreign exchange market plays an important role in the formation and development of financial markets. This market is of particular importance for emerging economies. To understand market trends (to understand and develop a strategy for its development), it is necessary to analyze historical data. It is also important to use different methods to carry out this analysis. Based on this, the paper analyzes the foreign exchange market in Ukraine for the period 2014-2018. For this analysis, the wavelet coherence methodology is used. This made it possible to assess the development of the foreign exchange market in Ukraine.


2014 ◽  
Vol 19 (1) ◽  
pp. 133-149 ◽  
Author(s):  
Rizwana Bashir ◽  
Rabia Shakir ◽  
Badar Ashfaq ◽  
Atif Hassan

This study investigates the empirical relationship between spot and forward exchange rate efficiency with reference to Pakistan and the efficiency of its foreign exchange market. We use monthly data from the State Bank of Pakistan and KIBOR rates for the period July 2006 to December 2013. Our results indicate that the forward exchange rate does not fully reflect all the information available. Market players may gain the benefits of volatility speculation due to market inefficiency. Pakistan’s foreign exchange market is still small compared to those of other emerging economies, implying that substantial policy work is required.


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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