Modelling electricity day-ahead prices by multivariate Levy semistationary processes
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This paper presents a new modelling framework for day-ahead electricity
prices based on
multivariate Levy semistationary (MLSS) processes. Day-ahead electricity
prices are determined in a
daily auction and, hence, modelled simultaneously as a panel of intra-daily
data.
The rather flexible structure of MLSS processes is able to reproduce the
stylised facts of electricity data
rather well and is at the same time highly analytically tractable. In an
empirical study, we
give some insight into the intra-daily correlation structure of electricity
prices in the EEX market.
Also, we discuss how the rather new market regulations which allow for
negative electricity prices
can be accounted for in our new modelling framework.
This is joint work with Luitgard Veraart (LSE).
This talk is part of the Statistics series.
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