This paper provides implied measures of higher-order dependencies between assets. The measures exploit only forward-looking information from the options market and can be used to construct an implied estimator of the covariance, co-skewness, and co-kurtosis matrices of asset returns. We...

This paper provides implied measures of higher-order dependencies between assets. These measures exploit only forward-looking information from the options market and can be used to construct an implied estimator of the full covariance, co-skewness, and co-kurtosis matrices of asset returns. In...

We develop a model of the illiquidity transmission from spot to futures markets that formalizes the derivative hedge theory proposed by Cho and Engle (1999). The model shows that spot market illiquidity does not translate one-to-one to the futures market, but rather interacts with price risk,...

In this paper we develop the first estimator of the covariance matrix that relies solely on forward-looking information. This estimator only uses price information from a cross-section of plain-vanilla options. In an out-of-sample study for US blue-chip stocks we show that a minimum-variance...

We develop a model of illiquidity transmission from spot to futures markets that formalizes the derivative hedge theory of Cho and Engle (1999). The model shows that spot market illiquidity does not translate one to one to the futures market but, rather, interacts with price risk, liquidity...

In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...