Forecasting volatility in financial markets: A review
SH Poon, CWJ Granger - Journal of economic literature, 2003 - aeaweb.org
Financial market volatility is an important input for investment, option pricing, and financial
market regulation. The emphasis of this review article is on forecasting instead of modelling; …
market regulation. The emphasis of this review article is on forecasting instead of modelling; …
A selected review of agricultural commodity futures and options markets
P Garcia, RM Leuthold - European review of agricultural …, 2004 - academic.oup.com
This paper provides a selected review of the research literature on commodity futures and
options markets, focusing primarily on empirical studies. The topics featured include the …
options markets, focusing primarily on empirical studies. The topics featured include the …
The effect of uncertainty on investment: Evidence from Texas oil drilling
R Kellogg - American Economic Review, 2014 - aeaweb.org
This paper estimates the response of investment to changes in uncertainty using data on oil
drilling in Texas and the expected volatility of the future price of oil. Using a dynamic model …
drilling in Texas and the expected volatility of the future price of oil. Using a dynamic model …
[图书][B] Stochastic modelling and applied probability
A Board - 2005 - Springer
During the seven years that elapsed between the first and second editions of the present
book, considerable progress was achieved in the area of financial modelling and pricing of …
book, considerable progress was achieved in the area of financial modelling and pricing of …
[图书][B] Market Risk Analysis, Boxset
C Alexander - 2009 - books.google.com
Market Risk Analysis is the most comprehensive, rigorous and detailed resource available
on market risk analysis. Written as a series of four interlinked volumes each title is self …
on market risk analysis. Written as a series of four interlinked volumes each title is self …
Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model
W Kristjanpoller, MC Minutolo - Expert systems with applications, 2015 - Elsevier
One of the most used methods to forecast price volatility is the generalized autoregressive
conditional heteroskedasticity (GARCH) model. Nonetheless, the errors in prediction using …
conditional heteroskedasticity (GARCH) model. Nonetheless, the errors in prediction using …
Forecasting volatility of the US oil market
We examine the information content of the CBOE Crude Oil Volatility Index (OVX) when
forecasting realized volatility in the WTI futures market. Additionally, we study whether other …
forecasting realized volatility in the WTI futures market. Additionally, we study whether other …
[图书][B] A practical guide to forecasting financial market volatility
SH Poon - 2005 - books.google.com
Financial market volatility forecasting is one of today's most important areas of expertise for
professionals and academics in investment, option pricing, and financial market regulation …
professionals and academics in investment, option pricing, and financial market regulation …
The asymmetric impact of oil prices, interest rates and oil price uncertainty on unemployment in the US
In this study, we investigate the presence of asymmetric interactions between oil prices, oil
price uncertainty, interest rates, and unemployment in a cointegration framework. Utilizing …
price uncertainty, interest rates, and unemployment in a cointegration framework. Utilizing …
Does anonymity matter in electronic limit order markets?
We develop a model in which limit order traders possess volatility information. We show that
in this case the size of the bid–ask spread is informative about future volatility. Moreover, if …
in this case the size of the bid–ask spread is informative about future volatility. Moreover, if …