Publications associées à Stock option

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Robert West, Maxime Jean Julien Peyrard, Marija Sakota

Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

Assoc Computing Machinery2024

Machine Learning for Modeling Stock Returns

Teng Andrea Xu

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, ...

EPFL2024

Closed form approximation methods for portfolio valuation and risk management

Lotfi Boudabsa

In this thesis we present three closed form approximation methods for portfolio valuation and risk management. The first chapter is titled ``Kernel methods for portfolio valuation and risk management'', and is a joint work with Damir Filipovi'c (SFI and ...

EPFL2023

Dataset for the article "Frequency regulation with storage: On losses and profits"

Daniel Kuhn, François Richard Vuille, Dirk Lauinger

This dataset complements the article "Frequency regulation with storage: On losses and profits" by Dirk Lauinger, François Vuille, and Daniel Kuhn, available at https://arxiv.org/abs/2306.02987. The dataset contains the following files: 1.

Zenodo2023

A new chapter of healthy indoor air: antiviral air treatments

Shannon Christa David

Aerosol transmission remains a major challenge for the control of respiratory viruses. To date, prevention strategies include masks, vaccinations, physical distancing, travel restrictions, and lockdowns. Such measures are effective but come with heavy soci ...

Wiley2023

Illiquidity 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 INC2022

Covariance Estimation for Random Surfaces beyond Separability

Tomas Masák

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, and considerations of statistical and com ...

EPFL2022

Essays on the Role of Policy and Venture Financing in Clean Technology Innovation

Matthias David van den Heuvel

This thesis aims to provide novel analyses and data that improve the understanding of the financing of investments in clean technologies. In particular, this thesis explores the role that private and public actors play in supporting young innovative firms. ...

EPFL2022

Polynomial Jump-Diffusion Models

Damir Filipovic, Martin Larsson

We develop a comprehensive mathematical framework for polynomial jump-diffusions in a semimartingale context, which nest affine jump-diffusions and have broad applications in finance. We show that the polynomial property is preserved under polynomial trans ...

2020

Linear Stochastic Dividend Model

Sander Félix M Willems

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 LTD2020

Low-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. ...

2020

Non-invasive pulmonary artery pressure estimation by electrical impedance tomography in a controlled hypoxemia study in healthy subjects

Jean-Philippe Thiran, Mathieu Lemay, Fabian Braun, Martin Proença

Pulmonary hypertension is a hemodynamic disorder defined by an abnormal elevation of pulmonary artery pressure (PAP). Current options for measuring PAP are limited in clinical practice. The aim of this study was to evaluate if electrical impedance tomograp ...

NATURE RESEARCH2020

Navigating various flexibility mechanisms under European burden-sharing

Marc Vielle

In July 2016, the European Commission presented its proposal for a regulation to reduce greenhouse gases emissions in sectors not covered by the emissions trading system with regard to post-2020 binding targets. The proposal extends the burden-sharing fram ...

SPRINGER2020

Optimal integration of sustainable multi-energy systems in districts

François Maréchal, Paul Michael Stadler

The integration of renewable energy sources within the built environment is a compelling challenge to tackle. With the recent climate targets aiming at a carbon neutral energy supply by the mid-century, a modern building energy system (BES) should maximize ...

ECOS 2020 Organizing Committee2020

Upcycling of printed plastic films: LCA analysis and effects on the circular economy

Dimitrios Kyritsis

In this work, the environmental impacts caused by an innovative upcycling process of printed plastic scrap have been assessed through Life Cycle Analysis (LCA) methodology for the first time. The process consists of removing the inks from the plastic surfa ...

ELSEVIER SCI LTD2020

A New Approach For American Option Pricing: The Dynamic Chebyshev Method

Kathrin Beatrice Glau

We introduce a new method to price American options based on Chebyshev interpolation. In each step of a dynamic programming time-stepping we approximate the value function with Chebyshev polynomials. The key advantage of this approach is that it allows us ...

2019

Product Market Competition and Option Prices

Erwan Morellec

Most firms face some form of competition in product markets. The degree of competition a firm faces feeds back into its cash flows and affects the values of the securities it issues. Through its effects on stock prices, product market competition affects t ...

OXFORD UNIV PRESS INC2019

The Advent of the Sharing Culture and its Effect on Product Pricing

Thomas Alois Weber, Maryam Razeghian Jahromi

Empirical observations suggest that consumers' propensity towards sharing varies with culture and the individuals' socio-demographic characteristics. In an economy with overlapping generations of heterogeneous consumers, we study optimal dynamic selling by ...

2019

A Holistic Methodology for Optimizing Industrial Resource Efficiency

François Maréchal, Adriano Viana Ensinas, Ivan Daniel Kantor, Julia Granacher, Maziar Kermani, Anna Sophia Wallerand

Efficient consumption of energy and material resources, including water, is the primary focus for process industries to reduce their environmental impact. The Conference of Parties in Paris (COP21) highlighted the prominent role of industrial energy effici ...

2019

Find your way around the various flexibility mechanisms under the European burden-sharing

Marc Vielle

In July 2016, the European Commission presented its proposal for a regulation to reduce greenhouse gases emissions in sectors not covered by the emissions trading system with regard to post-2020 binding targets. The proposal extends the burden-sharing fram ...

2019