Time series of daily data for Greek sovereign risk have been compiled and analysed statistically to shed light on the way that historical events, including political and institutional changes, determined the creditworthiness of the Greek government on the London stock market from the start of...

Time series of daily data for Greek sovereign risk have been compiled and analysed statistically to shed light on the way that historical events, including political and institutional changes, determined the creditworthiness of the Greek government on the London stock market from the start of...

Time series of daily data for Greek sovereign risk have been compiled and analysed statistically to shed light on the way that historical events, including political and institutional changes, determined the creditworthiness of the Greek government on the London stock market from the start of...

We propose a hybrid approach for the modeling and the short-term forecasting of electricity loads. Two building blocks of our approach are (1) modeling the overall trend and seasonality by fitting a generalized additive model to the <italic>weekly</italic> averages of the load and (2) modeling the dependence...

We propose a hybrid approach for the modeling and the short-term forecasting of electricity loads. Two building blocks of our approach are (1) modeling the overall trend and seasonality by fitting a generalized additive model to the weekly averages of the load and (2) modeling the dependence...

Low-frequency financial returns can be modelled as centered around piecewise-constant trend functions which change at certain points in time. We propose a new stochastic time series framework which captures this feature. The main ingredient of our model is a hierarchically-ordered oscillatory...

The main contribution of this paper is to identify the strong predictive power of the relative concentration of depth provision, rather than volume of orders, over volatility. To this end, we propose a new measure, relative liquidity (RLIQ), which extracts information from a limit order book...

We consider a locally stationary model for financial log-returns whereby the returns are independent and the volatility is a piecewise-constant function with jumps of an unknown number and locations, defined on a compact interval to enable a meaningful estimation theory. We demonstrate that the...