This paper analyzes the role of nonseparable utility and nontradables in business cycles and portfolio choice using a two-country, two-sector production economy model with a fairly general utility function. I find that nonseparability in utility can change the optimal portfolio choice significantly. Unlike the results of Stockman and Dellas (1989) or Baxter, Jermann and King (1998), the optimal...

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We consider the execution of portfolio transactions with the aim of minimizing a combination of volatility risk and transaction costs arising from permanent and temporary market impact. For a simple linear cost model, we explicitly construct the efficient frontier in the space of time-dependent liquidation strategies, which have minimum expected cost for a given level of uncertainty. We may the...

We analyze the implications of short-selling and margin purchase constraints for management compensation and portfolio optimization under moral hazard. First, looking at the manager’s problem, we show that her active portfolio (that is, net of the benchmark) will not be independent of the benchmark design. We solve analytically for the benchmark composition that maximizes e¤ort expenditure. Ana...

We consider the problem of optimally selecting a large portfolio of risky loans, such as mortgages, credit cards, auto loans, student loans, or business loans. Examples include loan portfolios held by financial institutions and fixed-income investors as well as pools of loans backing mortgageand asset-backed securities. The size of these portfolios can range from the thousands to even hundreds ...

The problem of portfolio optimization is one of the most important issues in asset management. We here propose a new dynamic portfolio strategy based on the time-varying structures of MST networks in Chinese stock markets, where the market condition is further considered when using the optimal portfolios for investment. A portfolio strategy comprises two stages: First, select the portfolios by ...

The investment portfolio with stochastic returns can be represented as a maximum flow generalized network with stochastic multipliers. Modern portfolio theory (MPT) [1] provides a myopic short horizon solution to this network by adding a parametric variance constraint to the maximize flow objective function. MPT does not allow the number of securities in solution portfolios to be specified. Int...

At present, all value at risk (VaR) implementations ± i.e., all risk measures of thè`maximum loss at a given level of con®dence'' type ± are based on the assumption that the portfolio mix will not change before the VaR horizon. This hypothesis may be unrealistic, especially when the VaR horizon is established by the regulators (BIS). At the opposite, we measure VaR dynamically, i.e., taking int...

In this paper we present robust models for index tracking and active portfolio management. The goal of these models is to control the effect of statistical errors in estimating market parameters on the performance of the portfolio. The proposed models allow one to impose additional side constraints such as bounds on the portfolio holdings, constraints on the portfolio beta, limits on cash expos...

The mean-variance principle of Markowitz (1952) for portfolio selection gives disappointing results once the mean and variance are replaced by their sample counterparts. The problem is ampli…ed when the number of assets is large and the sample covariance is singular or nearly singular. In this paper, we investigate four regularization techniques to stabilize the inverse of the covariance matrix...