Autoregressive Conditional Heteroscedasticity (ARCH) models have successfully been employed in order to predict asset return volatility. Predicting volatility is of great importance in pricing financial derivatives, selecting portfolios, measuring and managing investment risk more accurately. In...

Predicting the one-step-ahead volatility is of great importance in measuring and managing investment risk more accurately. Taking into consideration the main characteristics of the conditional volatility of asset returns, I estimate an asymmetric Autoregressive Conditional Heteroscedasticity...

The study provides evidence in favour of the price range as a proxy estimator of volatility in financial time series, in the cases that either intra-day datasets are unavailable or they are available at a low sampling frequency. A stochastic differential equation with time varying volatility of...

The time-varying correlation between oil prices returns and European industrial sector indices returns, considering the origin of the oil price shock, is investigated. A time-varying multivariate heteroskedastic framework is employed to test the above hypothesis based on data from 10 European...

Risk metrics users assume that the moments of asset returns exist, irrespectively of the trading frequency, hence the observed values of these moments are used to capture the potential losses from asset trading (e.g. with Value-at-Risk (VaR) or Expected Shortfall (ES) calculations). Despite the...

Very little is known on how traditional risk metrics behave under intraday trading. We fill this void by examining the finiteness of the returns' moments and assessing the impact of their infinity in a risk management framework. We show that when intraday trading is considered, assuming finite...

The paper examines the importance of combining high frequency information, along with the market fundamentals, in order to gain incremental forecasting accuracy for oil prices. Inspired by French et al. (1986) and Bollerslev et al. (1988), who maintain that future asset returns are also...

Crude oil is considered a key commodity in all the economies around the world. This study forecasts the oil volatility index (OVX), which is the market’s expectation of future oil volatility, by incorporating information from other asset classes. The literature does not extensively test the...

The paper proposes a novel method to assess whether real investment can be nowcasted based on information that is available on the stock market. The stock market index on a daily sampling frequency is assessed as a predictor of gross fixed capital formation on a quarterly sampling frequency. For...

The role of information flows for the formation of assets prices remains an open question despite the extensive literature concerning this issue. This is due (i) to the high complexity of markets themselves, (ii) the proliferation of information flows and (iii) the difficulties in determining...