nep-for New Economics Papers
on Forecasting
Issue of 2008‒07‒20
four papers chosen by
Rob J Hyndman
Monash University

  1. Regional unemployment forecasts with spatial interdependencies By Schanne, Norbert; Wapler, Rüdiger; Weyh, Antje
  2. On the Importance of Verifying Forecasting Results By A. Talha Yalta; Olaf Jenal
  3. Density forecast evaluation and the effect of risk-neutral central moments on the currency risk premium: tests based on EUR/HUF option-implied densities By Csaba Csávás
  4. Global Temperature Trends By Trevor Breusch; Farshid Vahid

  1. By: Schanne, Norbert (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]); Wapler, Rüdiger (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]); Weyh, Antje (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])
    Abstract: "We forecast unemployment for the 176 German labour-market districts on a monthly basis. Because of their small size, strong spatial interdependencies exist between these regional units. To account for these as well as for the heterogeneity in the regional development over time, we apply different versions of an univariate spatial GVAR model. When comparing the forecast precision with univariate time-series methods, we find that the spatial model does indeed perform better or at least as well. Hence, the GVAR model provides an alternative or complementary approach to commonly used methods in regional forecasting which do not consider regional interdependencies." (author's abstract, IAB-Doku) ((en))
    JEL: C31 C53 E24 O18
    Date: 2008–07–10
    URL: http://d.repec.org/n?u=RePEc:iab:iabdpa:200828&r=for
  2. By: A. Talha Yalta; Olaf Jenal
    Date: 2008–07
    URL: http://d.repec.org/n?u=RePEc:tob:wpaper:0804&r=for
  3. By: Csaba Csávás (Magyar Nemzeti Bank)
    Abstract: In this paper we estimate risk-neutral probability density functions from EUR/HUF currency options using the Malz (1997) method. First, we compare different option-based indicators. We present so-called 'shortcut' indicators, i.e. indicators that can be calculated directly, without the estimation of RNDs, but which show strong co-movement with the central moments of estimated densities. We also find that it is possible to construct probability-based indicators, which again exhibit strong correlation with the central moments. We present evidence that risk-neutral densities do not provide accurate forecasts for the distribution of the historical EUR/HUF exchange rate. The higher moments of risk-neutral densities are responsible for the rejection of forecasting ability. Our interpretation is that the standard deviation, the skewness and the kurtosis of the risk-neutral densities are significantly higher than the central moments of subjective densities. Finally, we show that the higher moments of risk-neutral densities are able to explain a significant part of the variability in the estimated risk premium. These latter results suggest that risk-neutral standard deviation and skewness can be used as proxy variables for the respective central moments of subjective densities.
    Keywords: currency option, implied risk-neutral density function, density forecasting, risk premium, GMM.
    JEL: F31 G13 C53
    Date: 2008
    URL: http://d.repec.org/n?u=RePEc:mnb:wpaper:2008/3&r=for
  4. By: Trevor Breusch; Farshid Vahid
    Abstract: Are global temperatures on a warming trend? It is difficult to be certain about trends when there is so much variation in the data and very high correlation from year to year. We investigate the question using statistical time series methods. Our analysis shows that the upward movement over the last 130-160 years is persistent and not explained by the high correlation, so it is best described as a trend. The warming trend becomes steeper after the mid-1970s, but there is no significant evidence for a break in trend in the late 1990s. Viewed from the perspective of 30 or 50 years ago, the temperatures recorded in most of the last decade lie above the confidence band of forecasts produced by a model that does not allow for a warming trend.
    JEL: C22
    Date: 2008–07
    URL: http://d.repec.org/n?u=RePEc:acb:cbeeco:2008-495&r=for

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