133 citations · 192 across the 9 of their papers we have counts for
25 papers
Portfolio Construction Using Stratified Models
Jonathan Tuck, Shane Barratt, Stephen Boyd
In this paper we develop models of asset return mean and covariance that depend on some observable market conditions, and use these to construct a trading policy that depends on th…
Covariance Prediction via Convex Optimization
Shane Barratt, Stephen Boyd
We consider the problem of predicting the covariance of a zero mean Gaussian vector, based on another feature vector. We describe a covariance predictor that has the form of a gene…
Low Rank Forecasting
Shane Barratt, Yining Dong, Stephen Boyd
We consider the problem of forecasting multiple values of the future of a vector time series, using some past values. This problem, and related ones such as one-step-ahead predicti…
Learning Convex Optimization Models
Akshay Agrawal, Shane Barratt, Stephen Boyd
A convex optimization model predicts an output from an input by solving a convex optimization problem. The class of convex optimization models is large, and includes as special cas…
Multi-Period Liability Clearing via Convex Optimal Control
Shane Barratt, Stephen Boyd
We consider the problem of determining a sequence of payments among a set of entities that clear (if possible) the liabilities among them. We formulate this as an optimal control p…
Optimal Representative Sample Weighting
Shane Barratt, Guillermo Angeris, Stephen Boyd
We consider the problem of assigning weights to a set of samples or data records, with the goal of achieving a representative weighting, which happens when certain sample averages…