We investigate the combined effect of an Emission Trading System (ETS) and renewable energy sources on electricity generation investment in energy-only markets. We propose a simple representation of the capacity expansion decision between fossil fuel and renewable production, where electricity...

Markov chain theory is proving to be a powerful approach to bootstrap highly nonlinear time series. In this work we provide a method to estimate the memory of a Markov chain (i.e. its order) and to identify its relevant states. In particular the choice of memory lags and the aggregation of...

Markov chain theory is proving to be a powerful approach to bootstrap highly nonlinear time series. In this work we provide a method to estimate the memory of a Markov chain (i.e. its order) and to identify its relevant states. In particular the choice of memory lags and the aggregation of...

Due to recent technical progress, battery energy storages are becoming a viable option in the power sector. Their optimal operational management focuses on load shift and shaving of price spikes. However, this requires optimally responding to electricity demand, intermittent generation, and...

 <font size="1">While the large portion of the literature on Markov chain (possibly of orderhigher than one) bootstrap methods has focused on the correct estimation ofthe transition probabilities, little or no attention has been devoted to theproblem of estimating the dimension of the transition probability...</font>

Markov chain theory is proving to be a powerful approach to bootstrap highly nonlinear time series. In this work we provide a method to estimate the memory of a Markov chain (i.e. its order) and to identify its relevant states. In particular the choice of memory lags and the aggregation of...

According to theoretical arguments, a properly designed emission trading system should help reaching pollution reduction at low social burden. Based on the theoretical work of environmental economists, cap-and-trade systems are put into operations all over the world. However, the practice from...

Markov chain theory is proving to be a powerful approach to bootstrap finite states processes, especially where time dependence is non linear. In this work we extend such approach to bootstrap discrete time continuous-valued processes. To this purpose we solve a minimization problem to partition...

This paper proposes a pricing model for inflation-linked bonds. Our proposal is developed starting from a Vasicek model of the instantaneous inflation rate process and the Cox, Ingersoll and Ross model for the nominal instantaneous risk-free interest rate process. Instead of adopting the...