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case, for instance, for stochastic volatility modelling by virtue of preliminary high-frequency spot variance estimates …
Persistent link: https://www.econbiz.de/10011113065
Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag (ADL) model is chosen. The results show that a...
Persistent link: https://www.econbiz.de/10005103392
We address the problem of seasonal adjustment of a nonlinear transformation of the original time series, such as the Box-Cox transformation of a time series measured on a ratio scale, or the Aranda-Ordaz transformation of proportions, which aims at enforcing two essential features: additivity...
Persistent link: https://www.econbiz.de/10005789223
This study investigates whether the term structure of interest rates contains useful information about future real economic activity and inflation in Turkey during the 1991:7-2004:3 periods. In order to analyze these relationships, we have employed the Generalized Impulse Response (GIRF)...
Persistent link: https://www.econbiz.de/10008836761
Fractional cointegration has attracted interest in time series econometrics in recent years (see among others, Dittmann 2004). According to Engle and Granger (1987), the concept of fractional cointegration was introduced to generalize the traditional cointegration to the long memory framework....
Persistent link: https://www.econbiz.de/10011108746
In this study the extended Overnight Index Rate (OIR) model is presented. The fitting function for the probability distribution of the OIR daily returns is based on three different Gaussian distributions which provide modelling of the narrow central peak and the wide fat-tailed component....
Persistent link: https://www.econbiz.de/10011109257
The aim of this study is to search for a better optimization algorithm in applying unit root tests that inherit nonlinear models in the testing process. The algorithms analyzed include Broyden, Fletcher, Goldfarb and Shanno (BFGS), Gauss-Jordan, Simplex, Genetic, and Extensive Grid-Search. The...
Persistent link: https://www.econbiz.de/10011109468
GARCH (1,1) models are widely used for modelling processes with time varying volatility. These include financial time … analysis suggest that in some settings, depending on the specific measure of volatility adopted, the LSE can allow for more … accurate predictions of volatility than the usual Gaussian QMLE. …
Persistent link: https://www.econbiz.de/10011111078
This paper examines and presents a simple algorithm for prediction stock written in MATLAB code. We apply it to thirty stocks of the Athens exchange stock market . We obtain the stock returns and we would like to predict, not the actual price , but the sign of stock returns. The results are very...
Persistent link: https://www.econbiz.de/10011267899
This paper presents Rtadf (Right Tail Augmented Dickey-Fuller), an EViews Add-in that facilitates the performance of time series based tests that help detect and date-stamp asset price bubbles. Detection strategy is based on a right-tail variation of the standard Augmented Dickey-Fuller (ADF)...
Persistent link: https://www.econbiz.de/10011112946