scholarly journals Quantitative Comparisons on the Intrinsic Features of Foreign Exchange Rates Between the 1920s and the 2010s: Case of the USD-GBP Exchange Rate

2016 ◽  
Vol 20 (3) ◽  
pp. 365-390
Author(s):  
Young Wook Han
2021 ◽  
Vol 3 (3) ◽  
pp. 31-44
Author(s):  
Nenubari Ikue John ◽  
Emeka Nkoro ◽  
Jeremiah Anietie

There is a pool of techniques and methods in addressing dynamics behaviors in higher frequency data, prominent among them is the ARCH/GARCH techniques. In this paper, the various types and assumptions of the ARCH/GARCH models were tried in examining the dynamism of exchange rate and international crude oil prices in Nigeria. And it was observed that the Nigerian foreign exchange rates behaviors did not conform with the assumptions of the ARCH/GARCH models, hence this paper adopted Lag Variables Autoregressive (LVAR) techniques originally developed by Agung and Heij multiplier to examine the dynamic response of the Nigerian foreign exchange rates to crude oil prices. The Heij coefficient was used to calculate the dynamic multipliers while the Engel & Granger two-step technique was used for cointegration analysis.  The results revealed an insignificant dynamic long-term response of the exchange rate to crude oil prices within the periods under review. The coefficient of dynamism was insignificantly in most cases of the sub-periods. The paper equally revealed that the significance of the dynamic multipliers depends greatly on external information about both market indicators which are two-way interactions. Thus, the paper recommends periodic intervention in the foreign exchange market by the monetary authorities to stabilize the market against any shocks in the international crude oil market, since crude oil is the main source of foreign exchange in Nigeria.


Author(s):  
Muneer Buckley ◽  
Zbigniew Michalewicz ◽  
Ralf Zurbruegg

There is a great need for accurate predictions of foreign exchange rates. Many industries participate in foreign exchange scenarios with little idea where the exchange rate is moving, and what the optimum decision to make at any given time is. Although current economic models do exist for this purpose, improvements could be made in both their flexibility and adaptability. This provides much room for models that do not suffer from such constraints. This chapter proposes the use of a genetic program (GP) to predict future foreign exchange rates. The GP is an extension of the DyFor GP tailored for forecasting in dynamic environments. The GP is tested on the Australian / US (AUD/USD) exchange rate and compared against a basic economic model. The results show that the system has potential in forecasting long term values, and may do so better than established models. Further improvements are also suggested.


In most studies on dynamics of time series financial data, the absence of chaotic behavior is generally observed. However, this theory is not yet established in the dynamics of foreign exchange rates. Conflicting claims of presence and absence of chaos in foreign exchange rates open door for further investigation considering various deterministic factors. This work examines the dynamics of exchange rate of the Philippine Peso against selected foreign currencies. Time series data were collected for eight (8) of Philippine’s top trading partners as categorized according to economic condition. The data obtained with permission from the Central Bank of the Philippines covered the years 2013 to 2017. Data sets were plotted revealing non-linear movement of Philippine exchange rates against time. The foreign exchange rate time series obtained per currency were examined for chaotic behavior by computing the Largest Lyapunov Exponents (LLE). A positive Lyapunov exponent is an indication of sensitivity dependence, i.e, a chaotic dynamics; whereas, a negative Lyapunov exponent indicates otherwise. Computed LLE’s varied per currency but all were found to be negative. Therefore, using the Largest Lyapunov Exponent Test (LLE), analysis of the time series of Philippine foreign exchange rates shows little evidence of chaotic patterns.


Author(s):  
Rabeya Akter

The Foreign Exchange rate is very much crucial for determining the economic health level of the country. The foreign exchange rate provides financial stability, enhances purchasing power and allows global trades. This rate usually fluctuates due to the market forces which control the supply and demand of the currency. Nominal and relative inflation and income level have a substantial effect on determining the exchange rates. Government measures, international situations, natural disasters or any unexpected situation like Covid-19, Rohingya crisis etc. can affect the exchange rates. Besides this, the interaction between the factors can create different reasoning to affect the market. This study tries to identify some factors with relevant examples.


2014 ◽  
Vol 30 (2) ◽  
pp. 96-120
Author(s):  
Islam Amer

Purpose – The purpose of this paper is to fill a gap in the foreign exchange rate exposure management literature as the existing literature has focused only on developed economics, and also the current literature on foreign exchange rate exposure of cedant insurance companies is very limited. As Egyptian insurance companies deal directly with foreign exchange rates, they face exposure to exchange rates through their international reinsurance operations. Design/methodology/approach – Martin and Mauer (2003, 2005) three-stage model is used to estimate foreign exchange rate transaction exposure for the sample of 23 Egyptian insurance companies over the period 2002-2009. However, the author has two innovations to this method. The author's first innovation is that instead of looking at the unanticipated operating income for each cedant company (as in both previous papers), this paper looks at the unanticipated operating income on an aggregate level. The author's second innovation is that instead of the model used in previous papers the author uses a model from the actuarial field that was proposed by Blum et al. (2001) for modelling foreign exchange rates with their relevant constituents (inflation and interest rate). Findings – The central finding of the study is that the foreign exchange rate exposure across the Egyptian insurance industry is not significant (at the 10 per cent level) and investigates this result. Research limitations/implications – This study has made considerable contributions to the existing academic literature, but the findings also illustrate the limitations of the research undertaken. These limitations, however, provide important directions for future research. This thesis focused exclusively on the transaction exposure that Egyptian insurance companies experience to fluctuations in the US dollar exchange rate in relation to their international reinsurance operations. As a result, investigating both translation and economic exposure was beyond the scope and purpose of this study. Practical implications – The findings of this research provide meaningful implications for industry practitioners. As Egyptian insurance companies are not immune from exchange rate risks, efforts must be made by each insurer to approximate and quantify their individual foreign exchange rate transaction exposure. Additionally, as Egyptian insurance companies increasingly operate worldwide (through the international reinsurance industry), this research and its results are significant for practitioners not only in Egypt, but also further afield. Finally, it is believed that this research will highlight greater implications for international financial players active in Egyptian financial and non-financial sectors, including banks not exposed singularly to US dollars, but to multiple currencies. One recent Egyptian example is Egypt Air, which lost an estimated US$600 million in 2013 due to foreign exchange rate fluctuations. Originality/value – Since Egyptian insurance operates worldwide, the results of this paper are of significant not only for Egyptian insurance managers but also to practitioners beyond Egypt.


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