We show that over a long study period (1963-2010), the existence and trading efficacy of the well-known low-volatility stock anomaly are more limited than widely believed. For example, we find that the anomalous returns are not found within equal weighted long-short (low minus high risk)...

We propose a unique dynamic portfolio construction framework that improves portfolio performance by adjusting asset allocation in accordance with a forecast of market risk. We find that modifying asset allocation according to our market risk barometer offers investors the promising opportunity...

Extreme market movements, especially in recent years, prompt our efforts to better understand the complexities of market dynamics. This paper seeks a better understanding of the features that characterize market environments through time. Specifically, we first demonstrate how market distress...

Active quantitative portfolio management is on the verge of change, we believe towards a more flexible approach capable of capturing dynamics in risk and return expectations across an array of asset classes. The static quant-driven approach to active management in widespread use today is...

We propose a model of portfolio selection that adjusts an investors' portfolio allocation in accordance with changing market liquidity environments and market conditions. We found that market liquidity provides a useful “leading indicator” in dynamic asset allocation. Specifically, market...

We explore whether the well publicized anomalous returns associated with low-volatility stocks can be attributed to market mispricing or to compensation for higher systematic risk. Our results, conducted over a 46 year study period (1966-2011), indicate that the high returns related to...