New methods to forecast volatility are usually compared to simple methods like weighted moving averages or GARCH (1, 1) models. In this paper, we provide new benchmark methods which are more accurate but still very simple. In an empirical study of daily returns on major world indices, our new methods clearly outperformed the conventional methods. The superiority of our methods appears to be quite universal as it is not confined to certain markets or certain time periods.GARCH models, weighted medians, exponentially weighted moving averages, EWMA, averaging across windows, squared forecasting errors, absolute forecasting errors, volatility forecasting,
Volatility is considered among the most vital concepts of the financial market and is frequently use...
Over the past decades, the worldwide financial markets have been continually evolving. Along with th...
The daily volatility is typically unobserved but can be estimated using high frequent tick-by-tick d...
The forecasting ability of the most popular volatility forecasting models is examined and an alterna...
This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility ...
Volatility plays a key role in asset and portfolio management and derivatives pricing. As such, accu...
Volatility plays a key role in asset and portfolio management and derivatives pricing. As such, accu...
Recent research has suggested that forecast evaluation on the basis of standard statistical loss fu...
This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility ...
Volatility has been one of the most active and successful areas of research in time series econometr...
Abstract: The aim of this paper is to elucidate a need for the optimization of the two most used met...
Although forecasting volatility is an important component of assessing financial risks, it is diffic...
There are many models on the market that claim to predict changes in financial assets as stocks on t...
Volatility is arguably one of the most important measures in financial economics since it is often u...
The time to time studies enclosed, delved into the contrasting and diverging substantiation and endo...
Volatility is considered among the most vital concepts of the financial market and is frequently use...
Over the past decades, the worldwide financial markets have been continually evolving. Along with th...
The daily volatility is typically unobserved but can be estimated using high frequent tick-by-tick d...
The forecasting ability of the most popular volatility forecasting models is examined and an alterna...
This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility ...
Volatility plays a key role in asset and portfolio management and derivatives pricing. As such, accu...
Volatility plays a key role in asset and portfolio management and derivatives pricing. As such, accu...
Recent research has suggested that forecast evaluation on the basis of standard statistical loss fu...
This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility ...
Volatility has been one of the most active and successful areas of research in time series econometr...
Abstract: The aim of this paper is to elucidate a need for the optimization of the two most used met...
Although forecasting volatility is an important component of assessing financial risks, it is diffic...
There are many models on the market that claim to predict changes in financial assets as stocks on t...
Volatility is arguably one of the most important measures in financial economics since it is often u...
The time to time studies enclosed, delved into the contrasting and diverging substantiation and endo...
Volatility is considered among the most vital concepts of the financial market and is frequently use...
Over the past decades, the worldwide financial markets have been continually evolving. Along with th...
The daily volatility is typically unobserved but can be estimated using high frequent tick-by-tick d...