We develop a stochastic programming model to address in a unified manner a number of interrelated decisions in international portfolio management: optimal portfolio diversification and mitigation of market and currency risks. The goal is to control the portfolio’s total risk exposure and...

We examine the stability of a portfolio management model based on the conditional value-at-risk (CVaR) measure; the model controls risk exposure of international investment portfolios. We use a moment-matching method to generate discrete distributions (scenario sets) of asset returns and exchange...

We show that GDP-linked bonds can provide diversification benefits to investors. We use a stochastic spanning methodology which makes no assumptions on the distri- butional characteristics of the returns of these novel instruments and test both floaters and linkers. None of these types of...

We show that GDP-linked bonds can provide diversification benefits to investors. We use a stochastic spanning methodology which makes no assumptions on the distributional characteristics of the returns of these innovative instruments and apply to test both floaters and linkers. We find that both...

We show that GDP-linked bonds can provide diversification benefits to investors. We use a stochastic spanning methodology which makes no assumptions on the distri- butional characteristics of the returns of these novel instruments and test both floaters and linkers. None of these types of...