Modeling the Demand for Emerging Market Assets

This paper addresses the problem of estimating the aggregate international demand schedule for emerging market (EM) securities as an asset class. The standard ‘push-pull’ model of capital flows is modified by reference to recent work on portfolio choice in the context of credit rationing leading to a simultaneous equation model that determines EM yield and capital flows together. Interaction effects include lagged flows and yields to reflect herding and asset bubbles, with a time-varying risk aversion variable affecting yields and flows. This model is then tested on monthly data for US bond purchases, using the General-to-Specific Approach (GETS) to find significant variables, lags, and shock dummies for yield spread and bond flows separately; followed by a Full Information Maximum Likelihood (FIML) estimation of the two equations together. The results are robust and give a very good fit for both yields and flows, contributing a valuable insight into the dominant impact of short-term shifts in the demand schedule on emerging markets.