In this note we provide justification for some Monte Carlo results presented by Elder and Kennedy (2001). In particular we show that the severe size distortions observed by Elder and Kennedy are due to the presence of nuisance parameters in the data generation process, but ignored in the test...

We propose a long-run risk model with stochastic volatility, a time-varying mean reversion level of volatility, and jumps in the state variables. The special feature of our model is that the jump intensity is not affine in the conditional variance but driven by a separate process. We show that...

We generalize and extend the long-run risk model by Drechsler and Yaron (201'7 by separating the processes for the jump intensity and the stochastic conditional variance. Furthermore we replace their Ornstein-Uhlenbeck specification for the long-run mean of the conditional variance by a...

Of the top ten global commercial property markets, London's has had the highest transaction turnover levels in the world. Its prime real estate is part of every major European and US institutional investor's portfolio and London's market has the most developed commercial property derivatives...

We study a long-run risk model with a stochastic consumption growth rate, a stochastic volatility, a stochastic jump intensity, and a stochastic mean reversion level for the latter two processes. First, using a square-root specification instead of the Ornstein-Uhlenbeck process suggested by...

Out-of-sample performance of continuous time models for equity returns is crucial in practical applications such as computing risk measures like value at risk, determine optimal portfolios or pricing derivatives. For all these applications investors need to model the return distribution of an...