Maximum likelihood estimation of discretely observed diffusion processes is mostly hampered by the lack of a closed form solution of the transient density. It has recently been argued that a most generic remedy to this problem is the numerical solution of the pertinent Fokker-Planck (FP) or...

This paper shows how exact solutions for the transient density of a large class of continuous-time Markov switching models can be obtained. We illustrate the pertinent approach for both simple diffusion models with a small number of regimes as well as for the more complicated so-called Poisson...

The Efficiency Market Hypotheses (EMH) imply rational investors and no asset mispricing in the medium run. This paper critically evaluates on the point of whether an asset price bubble is an irrational phenomenon that cannot be detected. Thereby, I review the existing literature and reflect on...

This study presents and empirically tests a simple framework that examines the effects of market liquidity (the ease with which stocks are traded) and funding liquidity (the ease with which market participants can obtain funding) on stock market bubbles. Three key findings emerge from this...

We develop a novel machine learning method to estimate large dimensional time-varying GMM models via our newly designed ridge fusion regularization scheme. Our method is a one-step procedure and allows for abrupt, smooth and dual type time variation with a fast rate of convergence. It...

We estimate corporate bond portfolios using numerous asset-specific characteristics. Our portfolio weights accommodate a large cross-section and allow for a flexible management of turnover and liquidity. A portfolio tilted toward higher maturity, credit risk, coupon, momentum, and size...

We propose a nonparametric Bayesian approach for conducting inference on probabilistic surveys. We use this approach to study whether U.S. Survey of Professional Forecasters density projections for output growth and inflation are consistent with the noisy rational expectations hypothesis. We...