This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...

Two different probability measures are of importance when calculating the risk of a large portfolio: the risk-neutral measure for pricing, and the real measure to project true earnings. When using Monte Carlo, the natural method is to conduct two different simulations, one in each probability...

We propose a class of new robust GMM tests for endogenous structural breaks. The tests are based on supremum and average statistics derived from robust GMM estimators with a bounded influence function. They imply a bounded linearized asymptotic bias of size and power under local model...