Wir stellen ein Maß für die Beziehung zwischen zwei Städten/Regionen basierend auf Suchanfragen vor, ausgehend von Merkmalen der Suchanfragen-Zeitreihen nach Zerlegung der Zeitreihe mittels STL (Komponentenzerlegung mittels lokaler linearer Kernregression). Grundlage für das Maß sind...

Wir stellen ein Maß für die Beziehung zwischen zwei Städten/Regionen basierend auf Suchanfragen vor, ausgehend von Merkmalen der Suchanfragen-Zeitreihen nach Zerlegung der Zeitreihe mittels STL (Komponentenzerlegung mittels lokaler linearer Kernregression). Grundlage für das Maß sind...

We present the R package trajeR which provides all necessary tools to calibrate generalized finite mixture models, plot the results graphically and test the model adequacy.First, we give an overview of the generalized finite mixture model for clustering time series and describe the core function...

Using Gretl, I apply ARMA, Vector ARMA, VAR, state-space model with a Kalman filter, transfer-function and intervention models, unit root tests, cointegration test, volatility models (ARCH, GARCH, ARCH-M, GARCH-M, Taylor-Schwert GARCH, GJR, TARCH, NARCH, APARCH, EGARCH) to analyze quarterly time...

Outliers are observations that deviate significantly from the norm, and their detection has been a critical topic in various research areas and application domains, such as video surveillance, network intrusion detection, and disease outbreak detection. In recent years, deep learning-based...

In the monthly ifo Business Survey around 9,000 German companies answer questions about their current business situation, expectations and plans for the near future as well as on other business variables. This paper provides an overview of all regular questions (monthly, quarterly, bi-annually,...

The main goal of the article is to investigate forecasting quality of two approaches to modelling main macroeconomic variables without a priori assumptions concerning causality and generate forecasts without additional assumptions regarding regressors. With application of tendency survey data...

In this article we present four diversified approaches to forecasting main macroeconomic variables without a priori assumptions concerning causality. We include tendency survey data in both the Bayesian averaging of classical estimates (BACE) and the dynamic factor models (DFM) frameworks. With...

The article compares forecast quality from two atheoretical models. Neither method assumed a priori causality and forecasts were generated without additional assumptions about regressors. Tendency survey data was used within the Bayesian averaging of classical estimates (BACE) framework and...

We propose two new jump-robust estimators of integrated variance based on highfrequency return observations. These MinRV and MedRV estimators provide an attractive alternative to the prevailing bipower and multipower variation measures. Specifically, the MedRV estimator has better theoretical...