Identifying factors in currency exchange rate estimation: a study on AUD against USD
23 Oct 2019-Journal of Advances in Management Research (Emerald Publishing Limited)-Vol. 16, Iss: 4, pp 436-452
TL;DR: In this article, the authors used the same information that banks' dealers use for the analysis to estimate long-term currency exchange rate and identify the key factors for decision makers in the currency exchange market.
Abstract: The purpose of this paper is to estimate long-term currency exchange rate and also identify the key factors for decision makers in the currency exchange market. The study is expected to aid decision makers to take positions in the dynamic Forex market.,This study is based on quantitative and fundamental analysis of statistically oriented regression models. The trend of quarterly exchange rates is investigated using 110 variables including economic elements, interest rate and other currencies. This research is based on the same information that banks’ dealers use for the analysis. Ordinary least squares linear regression also known as “least squared errors regression” was used to estimate the value of the dependent variable.,The study concludes that “only Australian economic data” or “only the US economic data” cannot fully reflect the trend of AUD/USD. EUR influences AUD relatively larger than the other main market currencies. Six-month Australian interest rate itself affects AUD/USD trend much more than the six-month interest difference between AUD and USD.,The results indicate that the economic autoregressive moving average model can be used to predict future exchange rate using primary factors identified and not from the generic market or economic view. This helps adjust to the general, common (and possibly wrong) views when making a buy or sell decision.,This is one of the first studies in the context using the information of bank dealers for AUD/USD. This study is highly relevant in the current context, given the significant growth in Forex trade.
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TL;DR: In this article , the applicability of machine learning techniques in predicting the currency exchange rate in a very short-term period particularly in the case of Indian Rupees (INR) Vs U.S Dollars (USD).
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TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
Abstract: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples. If each element of a vector of time series x first achieves stationarity after differencing, but a linear combination a'x is already stationary, the time series x are said to be co-integrated with co-integrating vector a. There may be several such co-integrating vectors so that a becomes a matrix. Interpreting a'x,= 0 as a long run equilibrium, co-integration implies that deviations from equilibrium are stationary, with finite variance, even though the series themselves are nonstationary and have infinite variance. The paper presents a representation theorem based on Granger (1983), which connects the moving average, autoregressive, and error correction representations for co-integrated systems. A vector autoregression in differenced variables is incompatible with these representations. Estimation of these models is discussed and a simple but asymptotically efficient two-step estimator is proposed. Testing for co-integration combines the problems of unit root tests and tests with parameters unidentified under the null. Seven statistics are formulated and analyzed. The critical values of these statistics are calculated based on a Monte Carlo simulation. Using these critical values, the power properties of the tests are examined and one test procedure is recommended for application. In a series of examples it is found that consumption and income are co-integrated, wages and prices are not, short and long interest rates are, and nominal GNP is co-integrated with M2, but not M1, M3, or aggregate liquid assets.
27,170 citations
TL;DR: Efficient Capital Markets: A Review of Theory and Empirical Work Author(s): Eugene Fama Source: The Journal of Finance, Vol. 25, No. 2, Papers and Proceedings of the Twenty-Eighth Annual Meeting of the American Finance Association New York, N.Y. December, 28-30, 1969 (May, 1970), pp. 383-417 as mentioned in this paper
Abstract: Efficient Capital Markets: A Review of Theory and Empirical Work Author(s): Eugene F. Fama Source: The Journal of Finance, Vol. 25, No. 2, Papers and Proceedings of the Twenty-Eighth Annual Meeting of the American Finance Association New York, N.Y. December, 28-30, 1969 (May, 1970), pp. 383-417 Published by: Blackwell Publishing for the American Finance Association Stable URL: http://www.jstor.org/stable/2325486 Accessed: 30/03/2010 21:28
18,295 citations
TL;DR: The authors compared the performance of various structural and time series exchange rate models, and found that a random walk model performs as well as any estimated model at one to twelve month horizons for the dollar/pound, dollar/mark, dollar /yen and trade-weighted dollar exchange rates.
3,621 citations
01 Jan 1984
TL;DR: In this paper, a model of the impact of such fashions on prices is proposed and used in an exploratory data analysis of the aggregate United States Stock Market in the 20th century.
Abstract: The empirical evidence that is widely interpreted as supporting the efficient markets theory in finance actually does not rule out the possibility that changing fashions or fads among investors have an important influence on prices in financial markets. A model of the impact of such fashions on prices is proposed and used in an exploratory data analysis of the aggregate United States Stock Market in the 20th century. (This abstract was borrowed from another version of this item.)
1,382 citations
TL;DR: In this paper, the role of expectations in exchange rate determination and a direct observable measure of expectations is proposed, based on the information that is contained in data from the forward market for foreign exchange.
Abstract: This paper deals with the determinants of the exchange rate and develops a monetary view (or more generally, an asset view) of exchange rate determination. The first part traces some of the doctrinal origins of approaches to the analysis of equilibrium exchange rates. The second part examines some of the empirical hypotheses of the monetary approach as well as some features of the efficiency of the foreign exchange markets. Special emphasis is given to the role of expectations in exchange rate determination and a direct observable measure of expectations is proposed. The direct measure of expectations builds on the information that is contained in data from the forward market for foreign exchange. The empirical results are shown to be consistent with the hypotheses of the monetary approach.
1,281 citations