An indicator-based short-term forecast for quarterly GDP in the euro area.

This paper discusses an approach to estimate euro area GDP quarterly growth over two quarters ahead. The estimates are derived from separate single equations for each quarter to be forecast using OLS including a moving error term. The explanatory variables describe real economic activity or its assessment in opinion surveys, and financial variables, both of the euro area and the US. The euro area opinion survey variables are the present business situation in the retail sector and the construction confidence indicator, while the US National Association of Purchasing Managers index of the manufacturing industry reflects the importance of international economic links. There are two financial variables. First, the relative yield spread between the euro area and the US. Second, the real effective exchange rate is an indication of the competitive position of euro area exporterseuro, quaterly forecast, GDP

Optimal Short-Term Forecast for Locally Stationary Functional Time Series

Accurate curve forecasting is of vital importance for policy planning, decision making and resource allocation in many engineering and industrial applications. In this paper we establish a theoretical foundation for the optimal short-term linear prediction of non-stationary functional or curve time series with smoothly time-varying data generating mechanisms. The core of this work is to establish a unified functional auto-regressive approximation result for a general class of locally stationary functional time series. A double sieve expansion method is proposed and theoretically verified for the asymptotic optimal forecasting. A telecommunication traffic data set is used to illustrate the usefulness of the proposed theory and methodology

Investigating uncertainty in macroeconomic forecasts by stochastic simulation

We investigate four sources of uncertainty with CPB’s macroeconomic model SAFFIER: provisional data, exogenous variables, model parameters and residuals of behavioural equations. Uncertainty is an inherent attribute of any forecast. We apply a Monte Carlo simulation technique to calculate standard errors for the short-term and medium-term horizon for GDP and eight other macroeconomic variables. The results demonstrate that the main contribution to the total variance of a medium-term forecast emanates from the uncertainty in the exogenous variables. For the short-term forecast both exogenous variables and provisional data are most relevant.

Drought analysis and short-term forecast in the Aison River Basin (Greece)

A combined regional drought analysis and forecast is elaborated and applied to the Aison River Basin (Greece). The historical frequency, duration and severity were estimated using the standardized precipitation index (SPI) computed on variable time scales, while short-term drought forecast was investigated by means of 3-D loglinear models. A quasi-association model with homogenous diagonal effect was proposed to fit the observed frequencies of class transitions of the SPI values computed on the 12-month time scale. Then, an adapted submodel was selected for each data set through the backward elimination method. The analysis and forecast of the drought class transition probabilities were based on the odds of the expected frequencies, estimated by these submodels, and the respective confidence intervals of these odds. The parsimonious forecast models fitted adequately the observed data. Results gave a comprehensive insight on drought behavior, highlighting a dominant drought period (1988–1991) with extreme drought events and revealing, in most cases, smooth drought class transitions. The proposed approach can be an efficient tool in regional water resources management and short-term drought warning, especially in irrigated districts

Unemployment Rates Forecasts – Unobserved Component Models Versus SARIMA Models In Central And Eastern European Countries

In this paper we compare the accuracy of unemployment rates forecasts of eight Central and Eastern European countries. The unobserved component models and seasonal ARIMA models are used within a rolling short-term forecast experiment as an out-of-sample test of forecast accuracy. We find that unemployment rates present clear unconditional asymmetry in three out of eight countries. Half the cases there is no difference between forecasting accuracy of the methods used in the study. In the remaining, a proper specification of seasonal ARIMA model allows to generate better forecasts than from unobserved component models. The forecasting accuracy deteriorates in periods of rapid upward and downward movement and improves in periods of gradual change in the unemployment rates

Coastal Empire Economic Monitor, 3rd Quarter, 2006

The Coastal Empire Economic Indicators are designed to provide continuously updating quarterly snapshots of the Savannah Metropolitan Statistical Area economy. The coincident index measures the current economic heartbeat of the region. The leading index provides a short term forecast of the region’s economic activity in six to nine months

Coastal Empire Economic Monitor, 4th Quarter, 2007

The Coastal Empire Economic Indicators are designed to provide continuously updating quarterly snapshots of the Savannah Metropolitan Statistical Area economy. The coincident index measures the current economic heartbeat of the region. The leading index provides a short term forecast of the region’s economic activity in six to nine months