The relationship between the forward– and the realized spot exchange rate in South Africa
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North-West University
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Abstract
The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the
transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an
exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction
of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all
the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future
spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the
mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate.
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Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.
Keywords
Autoregressive conditional heteroskedasticity model (ARCH model), Autoregressive fractionally integrated moving average model (ARFIMA model), Co-integration, Covered interest rate parity, Dual-listed stocks, Exchange rate puzzle, Forward exchange rate, International capital asset pricing model (ICAPM), International equity parity theory, Non-stationary data, Purchasing power parity (PPP), Realized future spot exchange rate, Stationary data, Uncovered interest rate parity, Vector error correction model (VEC model), Autoregressiewe-voorwaardelike-heteroskedastiese modelle, Autoregressiewe-gedeeltelike-geintegreerde-bewegende-gemiddelde modelle, Gedekte-rentekoers-pariteitsteorie, Dubbelgenoteerde aandele, Wisselkoersvraagstuk, Vooruitwisselkoers, Internasionale kapitaalbateprysingsmodel, Internasionale aandelepariteitsteorie, Nie-stasionêre data, Koopkrag pariteit, Gerealiseerde toekomstige loko-wisselkoers, Stasionêre data, Ongedekte rentekoerspariteitsteorie, Vektor-foutaanpassings-model
