An empirical comparison of forecasting performance is undertaken for multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models in the estimation of intraday value at risk (VaR). This comparison aims to evaluate the applicability of such models to risk management using...

The popular 'airline' model for a seasonal time series assumes that a variable needsdouble differencing, i.e. first and seasonal (or annual) differencing.The resultant time series can usually be described by a low order movingaverage model with estimated roots close to the unit circle. This...

The popular "airline" model for a seasonal time series assumes that a variable needsdouble differencing, i.e. first and seasonal (or annual) differencing.The resultant time series can usually be described by a low order movingaverage model with estimated roots close to the unit circle. This...

The popular 'airline' model for a seasonal time series assumes that a variable needsdouble differencing, i.e. first and seasonal (or annual) differencing.The resultant time series can usually be described by a low order movingaverage model with estimated roots close to the unit circle. This...

The popular 'airline' model for a seasonal time series assumes that a variable needs double differencing, i.e. first and seasonal (or annual) differencing. The resultant time series can usually be described by a low order moving average model with estimated roots close to the unit circle. This...

We discuss the benchmarking and temporal distribution methods for economic time series. We compare the Pro-Rata, the Denton and the Chow-Lin methods, and apply them to an analysis of some components of Japanese GDP. We have found that the Denton method often gives reasonable results among three...

This study clarifies how risks spread across economic sectors and indicates the sectors that are the most affected to help investors with asset allocation and to support them in risk management. Although the Japanese stock market is one of the relatively large global stock markets, no studies...

It is well known that the bias called market microstructure noise will arise, when estimating realized co-volatility matrix which is calculated as a sum of cross products of intraday high-frequency returns. An existing conventional technique for removing such a market microstructure noise is to...