The traditional view of portfolio construction, risk analysis, and execution holds that these three functions of money management are separable. Portfolios are constructed without incorporating the costs of execution, and execution is conducted without considering portfolio level risk. With the explosive growth of algorithmic trading, several mathematical and computational methodologies have been proposed for unifying and improving traditional money management functions. This presentation addresses some important developments in this area, including incorporating market impact costs into portfolio optimization, multi-period dynamic portfolio analysis, and high-frequency simulation for dynamic portfolio analysis.