Classical performance attribution methods decompose manager alpha into factor allocation and stock selection components. A manager can produce alpha through factor tilts relative to a benchmark and by stock selection within each factor. However, traditional attribution methods do not explicitly...

We use a holdings-based attribution model to disaggregate the benchmark-adjusted returns to U.S. equity mutual funds into components that reflect persistent segment tilts, the timing of segment returns, and stock selection relative to their benchmarks. We find that large-cap funds add value by...

Unlike standard factors, such as value, momentum, and size, quality lacks a commonly accepted definition. Practitioners, however, are increasingly gravitating to the style, defining quality as multi-signal for which some of the signals have been thoroughly explored in academic literature and...

Standard risk management approaches fail to consider parameter uncertainty, which has led to improper risk management. Blind faith in parameter estimates has too often led to blind faith in the resulting VAR outputs, and when these estimates are too often exceeded the proposed solution is...

Managing risk successfully requires a detailed understanding of the distributions from which random shocks to asset prices are drawn. However, there is uncertainty in both the actual distribution of returns and the parameters characterizing the distribution. In this chapter, we focus on the...