This paper provides a simple way to obtain an option-implied asset volatility surface. The proposed estimation technique allows to estimate the unobservable asset volatility surface in the same fashion of what is done when equity volatility is extracted from options. Given a sample of 66 US...

This paper addresses the challenges associated with pricing exotic options, specifically path-dependent ones, with a focus on the limitations of standard Monte Carlo simulations and the advantages provided by Conditional Monte Carlo methods, introduced by Babsiri and Noel in 1998. Path dependent...

We analyze corporate financial policies in leveraged buyouts (LBOs) in the presence of default risk. Our model captures the LBO-specific stepwise debt reduction, either with predetermined or cash-flow dependent (cash sweep) principal payments, and thus allows for dynamic redemption. These...

The credit valuation adjustment (CVA) of OTC derivatives is an important part of the Basel III credit risk capital requirements and current accounting rules. Its calculation is not an easy task - not only it is necessary to model the future value of the derivative, but also the probability of...

I show that an asset pricing model for the equity claims of a value-maximizing firm can be constructed from its optimal financial contracting behavior. I study a dynamic contracting model in which firms trade off the costs and benefits of a given promise to pay external lenders in a specific...

We consider counterparty credit risk in the interest rate swap (IRS) contracts in the presence of an adverse dependence between the default time and interest rates, so-called wrong-way risk. The IRS credit valuation adjustment (CVA) semi-analytical formula based on Gaussian copula assumption,...

Algorithmic Differentiation (AD), also known as automatic differentiation, computes the derivative(s) of computer code. It was pioneered by (Giles and Glasserman, 2006) and produces exact derivatives with low latency. AD is well presented in finance, see (Capriotti, 2010), (NAG, n.d.) and...

We present Algorithmic Adjoint Differentiation (AAD), also known as Automatic Adjoint Differentiation, which computes the derivative(s) of computer code. In finance this leads to a relatively new and novel approach, pioneered by (Giles and Glasserman, 2006), to compute financial risks. When...

If a firm invoices a transaction in a foreign currency, a delay of payment between the transaction date and the settlement date exposes the firm to exchange rate risk. In their income statements, firms report such exchange rate gains and losses, signaling their exposure to currency risk. Using...

In this paper, I introduce the modeling of currency returns conditional on the interest rate differential and the real exchange rate under the assumption that FX returns are skew-t distributed. Beyond the well-known relationship between the currency risk premium and its risk factors, I document...