We address the problem of portfolio management in the international bond ma
rkets. Interest rate risk in the local market, exchange rate volatility acr
oss markets, and decisions for hedging currency risk are integral parts of
this problem. The paper develops a stochastic programming optimization mode
l for integrating these decisions in a common framework. Monte Carlo simula
tion procedures, calibrated using historical observations of volatility and
correlation data, generate jointly scenarios of interest and exchange rate
s. The decision maker's risk tolerance is incorporated through a utility fu
nction, and additional views on market outlook can also be incorporated in
the form of user specified scenarios. The model prescribes optimal asset al
location among the different markets and determines bond-picking decisions
and appropriate hedging ratios. Therefore, several interrelated decisions a
re cast in a common framework, while in the past these issues were addresse
d separately. Empirical results illustrate the efficacy of the simulation m
odels in capturing the uncertainties of the Salomon Brothers international
bond market index.