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Author:Sarno, L.
Valente, G.
Leon, H.
Title:Nonlinearity in deviations from uncovered interest parity: An explanation of the forward bias puzzle
Journal:Review of finance
2006 : VOL. 10:3, p. 443-482
Index terms:finance
Monte Carlo technique
simulation
regression analysis
interest rates
bias
models
Language:eng
Abstract:This study provides empirical evidence that deviations from the uncovered interest rate parity (UIP) condition display significant nonlinearities, consistent with theories based on transactions costs or limits to speculation. It is suggested that the forward bias (here as: f-b.) documented may be less indicative of major market inefficiencies than previously thought. Monte Carlo experiments allow reconciling these results with the large empirical literature on the f-b. puzzle since it is shown that, if the true process of UIP deviations were of the nonlinear form considered, estimation of conventional spot-forward regressions would generate the previously documented anomalies.
SCIMA record nr: 265771
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