Home  |  Browse  |  Authors  |  Advanced Search  |  Help
Login | Create Account
Komlos, John and Flandreau, Marc (November 2006): Using ARIMA Forecasts to Explore the Efficiency of the Forward Reichsmark Market: Austria-Hungary, 1876-1914. Discussion Papers in Economics 2006-34

Metadaten exportieren

Autor(en) recherchieren

Lesezeichen anlegen

This is the latest version of this item.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Reader
86Kb

Abstract

We explore the efficiency of the forward Reichsmark market in Vienna between 1876 and 1914. We estimate ARIMA models of the spot exchange rate in order to forecast the one-month-ahead spot rate. In turn we compare these forecasts to the contemporaneous forward rate, i.e., the market's forecast of the future spot rate. We find that shortly after the introduction of a “shadow” gold standard in the mid-1890s the forward rate became a considerably better predictor of the future spot rate than during the prior flexible exchange rate regime. Between 1907 and 1914 forecast errors were between a half and one-fourth of their pre-1896 level. This implies that the Austro-Hungarian Bank's policy of defending the gold value of the currency was successful in improving the efficiency of the foreign exchange market.

Item Type:Paper (Discussion Paper)
Published in:Historical Social Research, No. 3, Vol. 31, 2006: pp. 253-262.
Keywords:exchange rate, gold standard, ARIMA, efficiency
Subjects:Economics
Economics > Discussion Papers in Economics
Economics > Discussion Papers in Economics > Economic History
Dewey Classification:300 Social sciences
300 Social sciences > 330 Wirtschaft
Journal of Economic Literature classification:F31, N23
URN:urn:nbn:de:bvb:19-epub-1244-1
Language:English
ID Code:1244
Deposited On:14. Nov 2006
Last Modified:28. Jun 2010 14:31

Available Versions of this Item

Open Access LMU is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software creditsAbout