In this paper we use the Hodrick-Prescott filter for analysing global temperature data. We are especially concerned with a reliable estimation of the trend component at the end of the data sample. To this end we employ time-varying values for the penalization parameter. The optimal values are...

We analyze the price dynamics of European allowances and international carbon credits in the second phase of the European carbon market. We develop and use a model combining fundamental drivers associated with the demand for quotas by installations and risk-return considerations related to the...

This paper assesses the stochastic convergence of relative CO₂ emissions within three different sets of countries over the period 1950-2013. Using the Local Whittle (LW) estimator and its variants we investigate whether relative per-capita CO₂ emissions are long memory processes which, although...

Econometric studies for global heating have typically used regional or global temperature averages to study its long memory properties. One typical explanation behind the long memory properties of temperature averages is cross-sectional aggregation. Nonetheless, formal analysis regarding the...

High-frequency data can provide us with a quantity of informa- tion for forecasting, help to calculate and prevent the future risk based on extremes. This tail behaviour is very often driven by ex- ogenous components and may be modelled conditional on other vari- ables. However, many of these...

The paper examines in the laboratory how risk-taking situations are affected by the conditions of observing other's choices (observer) and being observed by others (source). By extending Yechiam et al.'s (2008) experimental design to the domain of gains we find that observers are more probable...