We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...

We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...

We posit and empirically test the hypothesis that airlines are able to charge a fare premium in markets that originate in their domestic country relative to similar markets that originate in foreign countries. To this end, we focus on intercontinental one-stop air travel trips for which the...