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...

Approximate factor models and their extensions are widely used in economic analysis and forecasting due to their ability to extracting useful information from a large number of relevant variables. In these models, candidate predictors are typically subject to some common components. In this...

Equity investments promise high expected returns, but not many investors can tolerate the associated risks. A possible solution may be to complement the equity strategy with a portfolio insurance element which ideally reduces the equity exposure whenever necessary to prevent the overall strategy...

Portfolio insurance strategies that control benchmark-underperformance risk require estimating the maximum multiplier of the risk budget, which determines the allocation to the performance-seeking asset (PSA) at each point in time. We explore the implications of taking into account the expected...

Statistical inferences for weights of the global minimum variance portfolio (GMVP) are of both theoretical and practical relevance for mean-variance portfolio selection. Daily realized GMVP weights depend only on realized covariance matrix computed from intraday highfrequency returns. In this...

The way central banks manage their foreign reserve assets has evolved over the past decades. One major trend is managing reserves in two or more tranches-liquidity tranche and investment tranche-especially for those with adequate reserves. Incorporating reserve tranching, we have developed in...

When using high-frequency data, the conditional CAPM can explain asset-pricing anomalies. Using conditional betas based on daily data, the model works reasonably well for a recent sample period. However, it fails to explain the size anomaly as well as 3 out of 6 of the anomaly component excess...

Many financial decisions such as portfolio allocation, risk management, option pricing and hedge strategies are based on forecasts of the conditional variances, covariances and correlations of financial returns. The paper shows an empirical comparison of several methods to predict one-step-ahead...