Showing 1 - 10 of 103
In this paper, we investigate the out-of-sample forecasting ability of a genetic program to approach the dynamic evolution of the Yen/US$ and Pound Sterling/US$ exchange rates, and verify whether the method can beat the random walk model. Later on, we use the predicted values to generate a...
Persistent link: https://www.econbiz.de/10005342994
This paper explores the phenomenon of lasting deviations of the exchange rate from its fundamental value in the foreign exchange market. Motivated by empirical observations a chartists-fundamentalists model is developed in which boundedly rational agents repeatedly choose between technical and...
Persistent link: https://www.econbiz.de/10005132889
Persistent link: https://www.econbiz.de/10005345386
Persistent link: https://www.econbiz.de/10005706624
We deal with bootstrapping tests for detecting conditional heteroskedasticity in the context of standard and nonstandard ARCH models. We develope parametric and nonparametric bootstrap tests based both on the LM statistic and a neural statistic. The neural tests are designed to approximate an...
Persistent link: https://www.econbiz.de/10005132648
We propose a multivariate nonparametric technique for generating reliable historical yield curve scenarios and confidence intervals. The approach is based on a Functional Gradient Descent (FGD) estimation of the conditional mean vector and volatility matrix of a multivariate interest rate...
Persistent link: https://www.econbiz.de/10005132668
Persistent link: https://www.econbiz.de/10005132819
A notion of forecast quality is defined that is appropriate when returns forecasts are used in a simple investment decision. The relation between the conditional distribution of returns and optimal point forecasts for a risk neutral investor is characterised and it is shown that the conditional...
Persistent link: https://www.econbiz.de/10005132887
We develop extensions of the variance-ratio statistic for testing the hypothesis a time series is uncorrelated and investigate their finite-sample performance. The tests employ an estimator of the asymptotic covariance matrix of the sample autocorrelations that is consistent under the null for...
Persistent link: https://www.econbiz.de/10005342915
This paper shows how a high level matrix programming language may be used to perform Monte Carlo simulation, bootstrapping, estimation by maximum likelihood and GMM, and kernel regression in parallel on symmetric multiprocessor computers or clusters of workstations. The implementation of...
Persistent link: https://www.econbiz.de/10005343007