The application of artificial neural networks to finance has received a great deal of attention from both investors and researchers, especially as a forecasting method. When the number of predictors is high, these methods suffer from the so-called "curse of dimensionality" and produce biased...

The price staleness is referred to as the extent of the presence of the zero returns in the price dynamics. The proportion of the zero returns could be high in the high-frequency data sets, as pointed by Bandi et al. (2020a). Considering the price staleness as a dynamic system too, in this...

Carrying out power demand response work is essential for the balanced consumption of renewable energy. Using the system dynamics approach, this paper firstly selects the key factors that have an impact on the cost and benefit. Secondly, a multi-stakeholder benefit assessment model for the...

This paper develops the asymptotic theory of the threshold pre-averaged multi-power variation estimation in the simultaneous presence of jumps and market microstructure noise and then proposes an improved estimator for integrated volatility of an Itô semi-martingale based on the obtained...

We provide theoretical and empirical justifications for linking the realised co-skewness between the VIX and the S&P 500 to conditional equity premiums. The realised co-skewness, as a measure of hedging benefits, shows a significant (and independent to that of the variance risk premium) negative...

Motorization grows in proportion to income at the national and urban level, as do paved roads at the national level; urban roads grow much more slowly than income. Using panel data from 50 countries and 35 urban areas (covering a wide range of country incomes), Ingram and Liu summarize trends in...

Disaster management is an imperative area of concern for society on a global scale. Understanding how to best utilize information and communication technology to help manage emergency and disaster situations will lead to more effective advances and innovations in this important field. Smart...