scholarly journals Covered interest arbitrage opportunities in the South African foreign exchange market

1987 ◽  
Vol 18 (4) ◽  
pp. 209-214
Author(s):  
C. De J. Correia ◽  
R. F. Knight

The Interest Parity Theory states that in an efficient market, any interest differential between local and foreign sources of finance will be offset by the forward premium/discount. Therefore, opportunities to engage in profitable Covered Interest Arbitrage transactions will be eliminated quickly. The fall in the Rand/Dollar exchange rate resulted in many South African companies reporting substantial foreign exchange losses on offshore loans. Companies were attracted to foreign sources of finance because of lower foreign interest rates. The authors conclude, on the basis of empirical tests, that the forward Rand/Dollar exchange rate followed its interest parity value very closely over the period August 1983 - August 1985. Opportunities to engage in risk-free arbitrage activities were offset by related transaction costs. The South African foreign exchange market is efficient to the extent that risk-free profit opportunities did not exist for the period under review and therefore there was no benefit, after adjusting for risk, for South African management to borrow from offshore sources of finance.

1985 ◽  
Vol 16 (4) ◽  
pp. 204-208 ◽  
Author(s):  
N. Bhana

South African investors have been precluded from investing in foreign securities by the Exchange Control Regulations of 1961. Furthermore, the monetary policy pursued by the authorities has resulted in an inefficient financial market. Investments on the capital market have not earned satisfactory real rates of return, and prices on the JSE appear to have been driven to artificial heights. The De Kock Commission of Inquiry has proposed several recommendations which will have far-reaching consequences for investors in South Africa. The proposal of market-related interest rates and the abolition of prescribed investments by institutional investors is likely to result in long-term securities earning substantially higher real rates of return. The relaxation of exchange control for both direct and portfolio investment is likely to stem the flow of funds into the JSE. Investment funds can be expected to flow between the JSE and the various foreign equity markets depending on the economic prospects in the different countries. The high foreign exchange cost and poor liquidity of the local exchange market has been an obstacle to investors in foreign securities. The creation of a larger and more efficient foreign exchange market is likely to facilitate international portfolio diversification in South Africa.


Author(s):  
Sonia Kumari ◽  
Suresh Kumar Oad Rajput ◽  
Rana Yassir Hussain ◽  
Jahanzeb Marwat ◽  
Haroon Hussain

This study investigates the affiliation of various proxies of economic sentiments and the US Dollar exchange rate, mainly focusing on the real effective exchange rate of USD pairing with three other major currencies (USDEUR, USDGBP, and USDCAD). The study has employed Google Trends data of economy optimistic and pessimistic sentiments index and survey-based economy sentiments data on monthly basis from January 2004 to December 2018. The study engaged Ordinary Least Squares (OLS) and Auto-Regressive Distributed Lag (ARDL) estimation techniques to evaluate the short-run and long-run effects of economy-related sentiments and macroeconomic variables on the exchange rate. The results from the study found that Economy Optimistic Sentiments Index (EOSI) and Economy Pessimistic Sentiments Index (EPSI) appreciate and depreciate the US Dollar exchange rate in the short-run, respectively. Our sentiment measures are robust to survey-based Michigan Consumer Sentiment Index (MSCI), Consumer Confidence Index (CCI), and various macroeconomic factors. The MSCI and CCI sentiments show a long-term impact on the foreign exchange market. This study implies that economic sentiments play a vital role in the foreign exchange market and it is essential to consider behavioral aspects when modeling the exchange rate movements.


2021 ◽  
Vol 18 (2) ◽  
pp. 391-401
Author(s):  
Adefemi A. Obalade

This study examines the adaptive behavior of South Africa’s rand (ZAR) exchange rate against its major trading partners, the US Dollar (USD) and the Chinese Yuan (CNY) over the period 1999-2020. The study uses a rolling parametric linear variance ratio (VR) test, nonparametric linear runs test, and non-linear Brock, Dechert and Scheinkman (BDS) test to determine time-varying predictability and regression analyses to assess the effect of market conditions. The results show that the foreign exchange market was found to be inefficient based on the VR tests, but efficient with very few windows of inefficiency based on the runs test and BDS test. In addition, apart from the GDP, none of the market conditions studied is associated with non-parametric linear and nonlinear predictabilities. The study draws two main conclusions. Firstly, the South African foreign exchange market is adaptively efficient. Secondly, foreign exchange market efficiency is primarily driven by the level of economic growth. Practically, it will be difficult for investors to exploit the few windows of predictability in the South African foreign exchange market by focusing mainly on the market conditions studied.


2019 ◽  
Vol 1 (1) ◽  
pp. 70-77
Author(s):  
Ferdiansyah Ferdiansyah ◽  
Edi Surya Negara ◽  
Yeni Widyanti

Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the market


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