Accurate prediction of Bitcoin prices is a purported boon for risky investors, more so, if the forecasts are largely unconditional. This paper introduces a class of autoregressive fractionally integrated moving average model with asymmetric exponential generalized autoregressive score errors to...

Das Coronavirus hat viele alte Gesetzmäßigkeiten in Frage gestellt. Das gilt auch für die Vermessung ökonomischer Aktivitäten. Verfahren aus der Hochzeit der Industrialisierung werden dem strukturellen Wandel zunächst zu einer Dienstleistungsgesellschaft, später zu einer Digitalwirtschaft...

This study aims to develop nine different consumer bankruptcy forecasting models with the help of three types of artificial neural networks and to verify the usefulness of new, innovative ratios for implementation in personal finance. A learning sample comprising 200 consumers, and a testing...

We use inflation and income growth expectations from the ECB Consumer Expectations Survey to measure the subjective expected pass-through of inflation to income in the main euro area countries. By aggregating consumers' responses to probabilistic questions, we obtain significantly higher...

Using a standard input-output table with known marginal totals and independent (and unbalanced) estimates in individual cells as a basis, this paper investigates methods by which the cell estimates can be calibrated to the marginal totals. The paper also investigates the use of confidence...