Showing 1 - 10 of 10
In this paper we deal with the problem of non-stationarity encountered in a lot of data sets, mainly in financial and economics domains, coming from the presence of multiple seasonnalities, jumps, volatility, distorsion, aggregation, etc. Existence of non-stationarity involves spurious behaviors...
Persistent link: https://www.econbiz.de/10010750362
This article questions the empirical usefulness of leverage effects to describe the dynamics of equity returns. Using a recursive estimation scheme that accurately disentangles the asymmetry coming from the conditional distribution of returns and the asymmetry that is related to the past return...
Persistent link: https://www.econbiz.de/10011025593
method to electricity prices and test spot prices forecasts until one month ahead forecast. We conclude that the k …-factor GIGARCH process is a suitable tool to forecast spot prices, using the classical RMSE criteria. …
Persistent link: https://www.econbiz.de/10010738481
method to electricity prices and test spot prices forecasts until one month ahead forecast. We conclude that the k …-factor GIGARCH process is a suitable tool to forecast spot prices, using the classical RMSE criteria. …
Persistent link: https://www.econbiz.de/10010738662
This paper focuses on the identification and short term forecast of the correlation between the Labor Productivity …
Persistent link: https://www.econbiz.de/10010601713
The aim of this paper is to identify the fundamental factors that drive the allowances market and to built an APT-like model in order to provide accurate forecasts for CO2. We show that historic dependency patterns emphasis energy, natural gas, oil, coal and equity indexes as major factors...
Persistent link: https://www.econbiz.de/10010603635
An empirical forecast accuracy comparison of the non-parametric method, known as multivariate Nearest Neighbor method … for dependent time series, providing confidence intervals for point forecast in time series. …
Persistent link: https://www.econbiz.de/10010603668
An empirical forecast accuracy comparison of the non-parametric method, known as multivariate Nearest Neighbor method … for dependent time series, providing confidence intervals for point forecast in time series. …
Persistent link: https://www.econbiz.de/10010603674
Arbitrage Pricing Theory-like models and showed that they have a good forecast capacity. Those models enabled us to quantify the …
Persistent link: https://www.econbiz.de/10010603685
The PIRANDELLO model, currently under development by Cofiroute, is among the first significant French attempts to develop an operational land-use transport interaction (LUTI) model. It provides an easily understandable but theoretically sturdy framework to analyze and communicate on...
Persistent link: https://www.econbiz.de/10008794426