Concept
Local volatility
Publications associées (51)
Machine Learning for Modeling Stock Returns
Throughout history, the pace of knowledge and information sharing has evolved into an unthinkable speed and media. At the end of the XVII century, in Europe, the ideas that would shape the "Age of Enlightenment" were slowly being developed in coffeehouses, ...
EPFL2024How Integrated are Credit and Equity Markets? Evidence from Index Options
Pierre Collin Dufresne, Jan Benjamin Junge
We study the extent to which credit index (CDX) options are priced consistent with S&P 500 (SPX) equity index options. We derive analytical expressions for CDX and SPX options within a structural credit-risk model with stochastic volatility and jumps using ...
Hoboken2024Inference and Computation for Sparsely Sampled Random Surfaces
Victor Panaretos, Tomas Rubin, Tomas Masák
Nonparametric inference for functional data over two-dimensional domains entails additional computational and statistical challenges, compared to the one-dimensional case. Separability of the covariance is commonly assumed to address these issues in the de ...
TAYLOR & FRANCIS INC2022Covariance Estimation for Random Surfaces beyond Separability
This thesis focuses on non-parametric covariance estimation for random surfaces, i.e.~functional data on a two-dimensional domain. Non-parametric covariance estimation lies at the heart of functional data analysis, andconsiderations of statistical and comp ...
EPFL2022Illiquidity and Higher Cumulants
Semyon Malamud, Alberto Mokak Teguia
We characterize the unique equilibrium in an economy populated by strategic CARA investors who trade multiple risky assets with arbitrarily distributed payoffs. We use our explicit solution to study the joint behavior of illiquidity of option contracts. Op ...
OXFORD UNIV PRESS INC2022Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing
Daniel Kressner, Francesco Statti, Kathrin Beatrice Glau
Treating high dimensionality is one of the main challenges in the development of computational methods for solving problems arising in finance, where tasks such as pricing, calibration, and risk assessment need to be performed accurately and in real-time. ...
2020Informed Trading in the Stock Market and Option Price Discovery
When activist shareholders file Schedule 13D filings, the average excess return on target stocks is 6% and stock price volatility drops by about 10%. Prior to filing days, volatility (price) information is reflected in option (stock) prices. Using a compre ...
2020Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches
The need to evaluate natural resource investments under uncertainty has given rise to the development of real options valuation; however, the analysis of such investments has been restricted by the capabilities of existing valuation approaches. We re-visit ...
2020Linear Stochastic Dividend Model
In this paper, we propose a new model for pricing stock and dividend derivatives. We jointly specify dynamics for the stock price and the dividend rate such that the stock price is positive and the dividend rate nonnegative. In its simplest form, the model ...
WORLD SCIENTIFIC PUBL CO PTE LTD2020The Jacobi stochastic volatility model
Damir Filipovic, Damien Edouard Ackerer, Sergio Andres Pulido Nino
We introduce a novel stochastic volatility model where the squared volatility of the asset return follows a Jacobi process. It contains the Heston model as a limit case. We show that the joint density of any finite sequence of log-returns admits a Gram–Cha ...
2018