We propose a general robust semiparametric bootstrap method to estimate conditional predictive distributions of GARCH-type models. Our approach is based on a robust estimator for the parameters in GARCH-type models and a robustified resampling method for standardized GARCH residuals, which...

This paper develops a liquidity measure tailored to the foreign exchange (FX) market, quanties the amount of commonality in liquidity across dierent exchange rates, and determines theextent of liquidity risk premiums embedded in FX returns. The new liquidity measure utilizesultra high frequency...

This paper presents a new method to detect informed trading activities in the options markets.An option trade is identified as informed when it is characterized by an unusual largeincrement in open interest and volume, induces large gains, and is not hedged in the stock market.For the period...

We propose a new method for pricing options based on GARCH models with filtered historical innovations. In an incomplete market framework we allow for different distributions of the historical and the pricing return dynamics enhancing the model flexibility to fit market option prices. An...

Financial models are largely used in option pricing. These physical models capture several salient features of asset price dynamics. The pricing performance can be significantly enhanced when they are combined with nonparametric learning approaches, that empirically learn and correct pricing...

We compare the forecasts of Quadratic Variation given by Realized Volatility (RV) and Two Scales Realized Volatility (TSRV) computed from high frequency data in the presence of market microstructure noise, under several different dynamics for the volatility process and assumptions on the noise....

We study an equilibrium asset pricing model with several Lucas (1978) trees subject toevent risk, that is, the possibility that trees experience unexpected disasters. We exploit themarket clearing mechanism, in the presence of multiple positive net supply assets, to showthat the implications of...

In this paper, we consider the coherent theory of (epistemic) uncertainty ofWalley, in whichbeliefs are represented through sets of probability distributions, and we focus on the problemof modeling prior ignorance about a categorical random variable. In this setting, it isa known result that a...

We develop a convenient structural framework for the joint model-ing of credit spreads, stock prices, stock options and basket creditderivatives, using a multivariate structural ¯rm value model withskewed asset returns. We show that our setting successfully addressesseveral empirical facts,...

We develop a new completely affine model of the term structure of interest rates, in which the statevariables evolve as a matrix-valued process of stochastically correlated factors. This setting grants a newelement of flexibility in the simultaneous modeling of stochastic volatilities and...