In multivariate time series systems, key insights can be obtained by discovering lead-lagrelationships inherent in the data, which refer to the dependence between two timeseries shifted in time relative to one another, and which can be leveraged for thepurposes of control, forecasting or...

This paper proposes two new approaches to improve estimation of the coefficients of the multivariate HAR (MHAR) model, and in turn improve forecast performance. A robust estimator of the covariance matrix is adopted to replace the realized covariance (RCov) matrix while estimating the MHAR...

We study a general class of utility processes V(c)=(V_{t}(c)), where V_{t}(c), a dynamic utility operator, is a decision criterion that quantifies a decision maker's evaluation of uncertain consumption streams c. We call this dynamic utility operator robust and its distinctiveness is that it...