Forecasting real economic activity poses a considerable challenge not only due to hard-to-predict events like the current financial crisis but also due to the fact that targeted variables often undergo significant revisions after their first publication. In this paper we report the results of a...

In a pioneering attempt we present the R(ecession)-word index for Switzerland. We evaluate its predictive ability of GDP growth using real-time vintages of GDP data, closely simulating flow of information in the past. We find that inclusion of the R-word index led to statistically significant...

We evaluate nowcasts and one- to four-quarter-ahead forecasts of Swiss full time equivalent jobs from 1998-2011, comparing forecasts of the KOF Swiss Economic Institute and of the State Secretariat for Economic Affairs with the outcome of the reference series. Both forecasts are biased downward,...

This paper attempts to find an aggregate leading indicator to predict the spreads observed for high-yield (HY) bond indices. Using a vector error correction (VEC) specification for quarterly data, we establish a long-term equilibrium relationship between the HY market spreads and its...

On the basis of keyword searches in newspaper articles several versions of the Recession-word Index (RWI) are constructed for Germany and Switzerland. We use these indices in order to track the business cycle dynamics in these two countries. Our main findings are the following. First, we show...

This study evaluates forecasting performance of a large-scale factor model developed in Siliverstovs and Kholodilin (2012) in a genuine ex ante forecasting exercise. We perform our forecast of GDP growth in Switzerland in real time using real-time data vintages collected at weekly frequency....

This study investigates usefulness of business tendency surveys in industrial sector for out-of-sample prediction of growth of industrial production in Russia. A special attention is paid to performance of survey-augmented models during the recent Great Recession 2008/2009. Using the real-time...

Traditional methods for evaluating corporate credit risk rarely consider the impact of the macro economy on corporate value and performance. We argue that lenders and management can obtain valuable information about the need for and approach to restructuring by decomposing default predictions...

Logit model and the signal approach are two analysis methods being commonly used to forecast and explain currency crises. Logit model is successful to determine explaining variables of crisis and to calculate the probability of crisis in particular during the period experienced with a crisis. On...

We use a vector error correction model to study the long-term relationship between aggregate expected default frequency and the macroeconomic development, i.e. CPI, industry production and short-term interest rate. The model is used to forecast the median expected default frequency of the...