The optimal portfolio of a utility-maximizing investor trading in the S&P 500 index and cash, subject to proportional transaction costs, becomes stochastically dominated when overlaid with a zero-net-cost portfolio of S&P 500 options bought at their ask and written at their bid price in most...

SABR model is a reference in financial industry to price fixed income derivatives, thanks to its ability to capture the volatility smile. The goal of this thesis is to develop a technique based on SABR model which captures all non-linearities, be more robust, gives tradable parameters...

This paper investigates the pricing of single-asset autocallable barrier reverse convertibles in the Heston local-stochastic volatility (LSV) model. Despite their complexity, autocallable structured notes are the most traded equity-linked exotic derivatives. The autocallable payoff embeds an...

We show that the stochastic dominance (SD) approach to the valuation of index options in frictionless markets allows the derivation of a unique variance risk premium and price of volatility risk based only on the underlying return and volatility dynamics for a wide class of stochastic volatility...

Uncertainty finance presents alternative models for derivative valuation relevant to markets willing to consider subjective information or expert criterium in their operation. This paper proposes a methodology based on experimental data for comparing the prices and the delta and vega risks for...

This document contains implementation notes related to Bang and Daboussi (2022) . We have extended the original paper by allowing actual accrual factors (not all 1) and non-annual frequency on the fixed side. The note first describes the detailed formulas in this extended setting. In a second...

We provide a new method to derive the state price density per unit probability based on option prices and GARCH model. We derive the risk neutral distribution using the result in Breeden and Litzenberger (1978) and the historical density adapting the GARCH model of Barone-Adesi, Engle, and...

This paper introduces a new technique to infer the risk-neutral probability distribution of an asset from the prices of options on this asset. The technique is based on using the trading volume of each option as a proxy of the informativeness of the option. Not requiring the implied probability...

We consider fundamental questions of arbitrage pricing arising when the uncertainty model incorporates volatility uncertainty. With a standard probabilistic model, essential equivalence between the absence of arbitrage and the existence of an equivalent martingale measure is a folk theorem, see...

We propose a nonparametric Bayesian approach for the estimation of the pricing kernel. Historical stock returns and option market data are combined through the Dirichlet Process (DP) to construct an option-adjusted physical measure. The precision parameter of the DP process is calibrated to the...