We propose a local adaptive multiplicative error model (MEM) accommodating timevarying parameters. MEM parameters are adaptively estimated based on a sequential testing procedure. A data-driven optimal length of local windows is selected, yielding adaptive forecasts at each point in time....

The aim of this study is to determine whether accruals have information value beyond that provided by isolated current cash flows for the prediction of future cash flows. Using a sample of 4,397 Spanish companies (mostly privately held), we estimate in-sample regressions of future cash flows on...

Nach einem neuen methodischen Prognosekonzept, das arbeitsmarktbezogene Internetdaten nutzt, entspannt sich zum Frühjahr 2009 die Arbeitsmarktlage. Das Papier erläutert die Technik der Prognose der Arbeitslosigkeit unter Nutzung der Messung der Google-Suchaktivität und illustriert die...

Die große Wirtschaftskrise hat bisher nur verhaltene Spuren am Arbeitsmarkt hinterlassen. Angesichts der unsicheren weiteren konjunkturellen Entwicklung, der schlechten Auslastung der Arbeitskräfte in den Unternehmen und der hohen Kurzarbeit erwarten viele Beobachter zum Herbst einen...

This paper examines stationary and nonstationary time series by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting. Various Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models are estimated over the period...

We examine the indicator property of the monetary indicator for inflation. Using a P*-model, Svensson shows theoretically in a recent paper that the relationship between these two variables is rather tenuous. The present study employs empirical evidence on the relations in his model to quantify...

A practice that has become widespread and widely endorsed is that of evaluating forecasts of financial variability obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on continuous time theory. In explanatory financial...

In this study we introduce a new indicator for private consumption based on search query time series provided by Google Trends. The indicator is based on factors extracted from consumption-related search categories of the Google Trends application Insights for Search. The forecasting performance...

A model-free methodology is used for the first time to estimate a daily volatility index (VIBEX-NEW) for the Spanish financial market.We use a public data set of daily option prices to compute this index and showthat daily changes in VIBEXNEW display a negative, tight contemporaneous...

There have been many attempts, theoretical and empirical, to explain the persistence of a favorite-longshot bias in various horse betting markets. Most recently, Snowberg and Wolfers (2010) have shown that the data for the US markets support a misperceptions of probability approach in line with...