We consider a capital at risk (CaR) minimization problem in an incomplete market Black-Scholes setting. The optimization problem is studied, given the possibility that a correlation constraint between the wealth process and a financial index is imposed. The optimal portfolio is not unique and it...

In Part 1 a simple market timing algorithm was described that switches from an exchange traded fund representing U. S. equities (SPY) to one holding treasury long bonds (TLT) every month on the last day, the switch being made to whichever ETF has the greatest ratio of current adjusted closing...

Portfolio insurance can be an appropriate means to preserve a given capital floor, yet the associated risk budgeting parameters need to be tailored to align with the underlying investment strategy. The main determinants are strategic asset allocation as well as the range and accuracy of tactical...

Portfolio optimization should provide large benefits to investors, but standard mean-variance optimization (MVO) works so poorly in practice that optimization is often abandoned. The approaches developed to address this issue are often surrounded by mystique regarding how, why, and whether they...

We assess the benefits of using frequency-domain information for active portfolio management. To do so, we forecast the bond risk premium and equity risk premium using a methodology that isolates frequencies (of the predictors) with the highest predictive power. The resulting forecasts are more...

Using a modified DCC-MIDAS specification that allows the long-term correlation component to be a function of multiple explanatory variables, we show that the stock-bond correlation in the US, the UK, Germany, France, and Italy is mainly driven by inflation and interest rate expectations as well...

To limit the maximum loss of a portfolio, investment strategies can be enhanced by adding a portfolio insurance component. We have analyzed various portfolio insurance strategies – from the static stop-loss concept to option-based strategies and dynamic portfolio insurance strategies. The...

Cryptocurrencies have left the dark side of the finance universe and become an object of study for asset and portfolio management. Since they have a low liquidity compared to traditional assets, one needs to take into account liquidity issues when adding them to the same portfolio. We propose a...

Linking factor portfolio construction to cross-sectional regressions of security returns on standardized factor exposures leads to a transparent and investable perspective on factor performance. Under capitalization-weighting, multivariate regression coefficients translate to portfolio returns...

We estimate corporate bond portfolios using numerous asset-specific characteristics. Our portfolio weights accommodate a large cross-section and allow for a flexible management of turnover and liquidity. A portfolio tilted toward higher maturity, credit risk, coupon, momentum, and size...