This paper tests a model of the role of stock markets in current account dynamics, developed in a companion paper. With U.S. data, the model performs better than the same model without stock markets. An insight given by the model is that the current account might help predict future stock market...

We develop an N-country model with stock markets in which closed-form solutions for the real exchange rate is derived. Our model allows for a given number of risky-assets, which form an incomplete market. Risky asset prices and allocations of risky assets among countries are determined...

This paper tests a model of the role of stock markets in current dynamics, which is developed in a companion paper. With US data, the model performs better than the same model without stock markets. An insight given by the model is that the current account might help predict future stock market...

The paper presents an N-country model with stock markets, in which a closed-form solution for the real exchange rate is derived. Risky asset prices and allocation of risky assets among countries are determined endogenously. Such a framework allows an analysis of how fundamental parameters, such...

This paper tests a model of the role of stock markets in current account dynamics, developed in a companion paper. With U.S. data, the model performs better than the same model without stock markets. An insight given by the model is that the current account might help predict future stock market...

This paper tests a model of the role of stock markets in current account dynamics, developed in a companion paper. With U.S. data, the model performs better than the same model without stock markets. An insight given by the model is that the current account might help predict future stock market...

The present value model of the current account has been very popular, as it provides an optimal benchmark to which actual current account series have often been compared. We show why persistence in observed current account data makes the estimated optimal series very sensitive to small-sample...