Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty. The probabilistic assessment about the set of possible trajectories that...

By means of wavelet transform a time series can be decomposed into a time dependent sum of frequency components. As a result we are able to capture seasonalities with time-varying period and intensity, which nourishes the belief that incorporating the wavelet transform in existing forecasting...

The size premium, defined as the outperformance of equities of small and medium-sized companies compared with the shares of large companies, is subject to strong cyclical fluctuations over time. This study examines the predictability of this premium for the Swiss stock market. The forecasts used...

There appears to be a consensus that the recent instability in global financial markets may be attributable in part to the failure of financial modeling. More specifically, current risk models have failed to properly assess the risks associated with large adverse stock price behavior. In this...

This paper systematically studies the use of mixed-frequency data sets and suggests that the use of high frequency data in forecasting economic aggregates can improve forecast accuracy. The best way of using this information is to build a single model, for example, an ARMA model with missing...

Neural networks (NN) and fuzzy logic systems (FLS) are used successfully for financial forecasting, credit rating and portfolio management. In search for more sophisticated modeling techniques a mixture of NN and FLS has proved to be worth consideration. We propose the novel constructive...

We analyze the properties of multiperiod forecasts which are formulated by a number of companies for a fixed horizon ahead which moves each month one period closer and are collected and diffused each month by some polling agency. Some descriptive evidence and a formal model suggest that knowing...

Wissenschaftliche Prognosen unterscheiden sich von sonstigen Vorhersagen nicht zuletzt dadurch, daß mit ihnen der Anspruch auf systematische Verbesserbarkeit verknüpft wird. Hat sich die Treffsicherheit von Konjunkturprognosen als Folge des wissenschaftlich-technischen Fortschritts verbessert?

In der Märzausgabe des WIRTSCHAFTSDIENST haben Hugo Dicke und Hans H. Glismann sich mit der Frage befaßt, wie treffsicher die Konjunkturprognosen der wirtschaftswissenschaftlichen Forschungsinstitute sind1. In diesem Beitrag gehen sie der Frage nach, ob der wissen schaftlich-technische...