We explore the pricing of variance risk by decomposing stocks' total variance into systematicand idiosyncratic return variances. While systematic variance risk exhibits a negative priceof risk, common shocks to the variances of idiosyncratic returns carry a large positive riskpremium. This...

This paper investigates model risk issues in the context of mean-variance portfolio selection. We analytically and numerically show that, under model misspecification, the use of statistically robust estimates instead of the widely used classical sample mean and covariance is highly beneficial...

We study the asymptotic properties of a Tikhonov Regularized (TiR) estimator of a functional parameter based on a minimum distance principle for nonparametric conditional moment restrictions. The estimator is computationally tractable and takes a closed form in the linear case. We derive its...

Information ows across international financial markets typically occur within hours, making volatility spillover appear contemporaneous in daily data. Such simultaneous transmission of variances is featured by the stochastic volatility model developed in this paper, in contrast to usually...

Here we develop an approach for efficient pricing discrete-time American and Bermudan options which employs the fact that such options are equivalent to theEuropean ones with a consumption, combined with analysis of the market model over a small number of steps ahead. This approach allows...

In the 40’s and early 50’ two decision theories were proposed and have since dominated the sceneof the fascinating field of decision-making. In 1944 – when von Neumann and Morgenstern showedthat if preferences are consistent with a set of axioms then it is possible to represent these...

Variance contracts permit the trading of ’variance risk’, i.e. the risk that the realizedvariance of stock returns changes randomly over time. We discuss why investorsmight want to trade this type of risk, and why they might prefer a variance contractto standard calls and puts for this...

A random variable dominates another random variable with respectto the covariance order if the covariance of any two monotone increasingfunctions of this variable is smaller. We characterize completely thecovariance order, give strong sufficient conditions for it, present a numberof examples in...

We consider a simple random walk process, a special case ofthe Martingale model, which exhibits a deterministic break in its drift term,for instance, from positive to negative. This particular example can be aplausible model for a time series on exchange rates which displays a persistentcurrency...