Empirical evidence suggests that many macroeconomic and financial time series are subject to occasional structural breaks. In this paper we present analytical results quantifying the effects of such breaks on the correlation between the forecast and the realization and on the ability to forecast...

This paper provides evidence suggesting that currency returns are not predictable. We find that the Bilson-Fama regression is not only unstable, but the instability is triggered by novel historical events. The novelty of the events implies that the structural change underpinning returns cannot...

The predictive power of the dividend-price ratio has been the subject of intense scrutiny. Most studies on return predictability assume that predictor variables follow stationary processes with constant long-run means. Following recent evidence of the role of structural breaks in the...

Most mortality models proposed in recent literature rely on the standard ARIMA-framework (in particular: a random walk with drift) to project mortality rates. As a result the projections are highly sensitive to the calibration period. We apply a modelling strategy for the time-dependent...

In the present paper we propose a new method, the Penalized Adaptive Method (PAM), for a data driven detection of structural changes in sparse linear models. The method is able to allocate the longest homogeneous intervals over the data sample and simultaneously choose the most proper variables...

Inflation is one of key policy variables in the European Union. Keeping inflation below 2 percent is the main proclaimed goal of the European Central Bank. Monitoring inflation dynamics is even more important for the EU candidate countries, as it forms a crucial part of the so called Maastricht...

We consider time series forecasting in the presence of ongoing structural change where both the time-series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially...