This paper provides empirical evidence that continuous time models with one factor of volatility, in some conditions, are able to fit the main characteristics of financial data. It also reports the importance of the feedback factor in capturing the strong volatility clustering of data, caused by...

The aim of this paper consists of valuating a real biotechnology firm that is based on a portfolio of several drug development projects at different phases. They are patentprotected R&D projects and their values are obtained by implementing an extension of the real options approach in Schwartz...

In this paper we use Malliavin calculus techniques to obtain an expression for the short-time behavior of the at-the-money implied volatility skew for a generalization of the Bates model, where the volatility does not need to be neither a difussion, nor a Markov process as the examples in...

In this paper, we deal with no-arbitrage pricing problems of a chooser flexible cap (floor) written on an underlying LIBOR. The chooser flexible cap (floor) allows a right for a buyer to exercise a limited and pre-determined number of the interim period caplets (floorlets) in a multiple-period...

Given a European derivative security with an arbitrary payoff function and a corresponding set of" underlying securities on which the derivative security is based, we solve the dynamic replication problem: find a" self-financing dynamic portfolio strategy involving only the underlying securities...

To understand the extent to which partisan majorities in Congress influence economic policy, we compare financial market responses in recent midterm elections to Presidential elections. We use prediction markets tracking election outcomes as a means of precisely timing and calibrating the...

This paper discusses the extent to which derivatives pose threats to firms and to the economy. After reviewing the derivatives markets and putting in perspective the various measures of the size of these markets, the paper shows who uses derivatives and why. The difficulties firms face in...

We propose a nonparametric method for estimating the pricing formula of a derivative asset using learning networks. Although not a substitute for the more traditional arbitrage-based pricing formulas, network pricing formulas may be more accurate and computationally more efficient alternatives...

An efficient method is developed for pricing American options on combination stochastic volatility/jump-diffusion processes when jump risk and volatility risk are systematic and nondiversifiable, thereby nesting two major option pricing models. The parameters implicit in PHLX-traded Deutschemark...

We propose an empirical implementation of the consumption-investment problem using the martingale representation alternative to dynamic programming. Our method is based on the direct observation of state prices from options data. This greatly simplifies the investor's task of specifying the...