We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications, typically, there is insufficient history to compute a sample covariance matrix (SCM) for a large number of alphas. To compute alpha allocation weights, one then resorts to...

It is a common practice in recursively dynamic CGE models to maintain static expectations. Consequently, investors take current rates of return as expected future rates of return. The vexing problem with this approach is that no matter how we allocate investments across sectors and regions in...

We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications, typically, there is insufficient history to compute a sample covariance matrix (SCM) for a large number of alphas. To compute alpha allocation weights, one then resorts to...