nep-ets New Economics Papers
on Econometric Time Series
Issue of 2007‒12‒19
two papers chosen by
Yong Yin
SUNY at Buffalo

  1. The Riksbank’s Forecasting Performance By Andersson, Michael K.; Karlsson, Gustav; Svensson, Josef
  2. Joint Modeling of Call and Put Implied Volatility By Ahoniemi, Katja; Lanne, Markku

  1. By: Andersson, Michael K. (Monetary Policy Department, Central Bank of Sweden); Karlsson, Gustav (Monetary Policy Department, Central Bank of Sweden); Svensson, Josef (Monetary Policy Department, Central Bank of Sweden)
    Abstract: This paper describes the official Riksbank forecasts for the period 2000-06. The forecast variables are those that are important for monetary policy analysis, i.e. inflation, GDP, productivity, employment, labour force, unemployment and financial variables such as interest rate and foreign exchange rate. The Riksbank’s forecasts are presented and analyzed and compared with alternative forecasts, that is, those from other institutions and simple statistical models. One important message from the study is that macroeconomic forecasts are associated with an appreciable uncertainty; the forecast errors are often sizeable. The forecast memory, defined as how far the forecasts are more informative than the variables unconditional mean, is usually limited to the first year. Furthermore, we find that the inflation forecasts exhibit several appealing features, such as a predictability memory that (possibly) includes the second year, relatively low RMSE and weak efficiency. The forecasts for the investigated real variables are shown to be less precise and they have a shorter forecast memory. The exchange rate predictions demonstrate the least accurate (of the investigated variables) forecasts. Compared to other forecasters, the Riksbank’s predictions are often more accurate. This holds for a comparison with the National Institute of Economic Research, even though the differences are statistically insignificant, as well as for a comparison with the participants in the Consensus Forecasts panel, where the Riksbank’s predictions often are among the best. We also find indications that misjudgements for productivity growth have had effects on forecasts for both inflation and GDP, but the results suggest that the Riksbank has considered available information in an acceptable fashion. This is also true for the undertaken revisions (from one forecast occasion to another) of the published forecasts.
    Keywords: Judgements; Forecast Evaluation; Central Bank; Inflation; GDP; RMSE
    JEL: E27 E37 E52
    Date: 2007–12–01
    URL: http://d.repec.org/n?u=RePEc:hhs:rbnkwp:0218&r=ets
  2. By: Ahoniemi, Katja; Lanne, Markku
    Abstract: This paper exploits the fact that implied volatilities calculated from identical call and put options have often been empirically found to differ, although they should be equal in theory. We propose a new bivariate mixture multiplicative error model and show that it is a good fit to Nikkei 225 index call and put option implied volatility (IV). A good model fit requires two mixture components in the model, allowing for different mean equations and error distributions for calmer and more volatile days. Forecast evaluation indicates that in addition to jointly modeling the time series of call and put IV, cross effects should be added to the model: putside implied volatility helps forecast callside IV, and vice versa. Impulse response functions show that the IV derived from put options recovers faster from shocks, and the effect of shocks lasts for up to six weeks.
    Keywords: Implied Volatility; Option Markets; Multiplicative Error Models; Forecasting
    JEL: C32 C53 G13
    Date: 2007
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:6318&r=ets

This nep-ets issue is ©2007 by Yong Yin. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at http://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.