Virtual Barrels Virtual Barrels
Springer Texts in Business and Economics

Virtual Barrels

Quantitative Trading in the Oil Market

    • USD 44.99
    • USD 44.99

Descripción editorial

The global oil market is no longer solely influenced by the supply and demand of physical oil barrels. In today's landscape, financial barrels traded by hedge funds using quantitative algorithms and dealers managing large portfolios of oil derivatives are equally crucial in determining the price of oil. This book offers a fascinating insight into the world of oil derivatives, exploring the quantitative models and trading strategies used by professional market participants. With a focus on oil options and volatility trading, the reader is taken on a journey through the story of this market, narrated by one of its pioneers who managed a highly successful trading business for almost a quarter of a century. Bridging the fields of energy economics and mathematical finance, this book demonstrates how the science of trading can unearth unique opportunities in the oil market. Written for aspiring quantitative traders and academic researchers alike, it offers a rare glimpse into the opaque and secretive world of oil derivatives, showcasing how it operates in practice.
Praise for Virtual Barrels:
"Sure to become a classic reference text" — Owain Johnson, Global Head of Research and Product Development, CME Group
"A must read for anyone interested in a deep understanding of the behaviour of oil prices and volatility" — Dr Bassam Fattouh, Director, Oxford Institute for Energy Studies
"Perfect for both seasoned professionals and students alike" — Professor Petter N. Kolm, Courant Institute of Mathematical Sciences, New York University, Quant of the Year 2021

GÉNERO
Ciencia y naturaleza
PUBLICADO
2023
1 de diciembre
IDIOMA
EN
Inglés
EXTENSIÓN
359
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
28.8
MB

Otros libros de esta serie

Stochastic Discounted Cash Flow Stochastic Discounted Cash Flow
2020
The Brownian Motion The Brownian Motion
2019
DSGE Models for Real Business Cycle and New Keynesian Macroeconomics DSGE Models for Real Business Cycle and New Keynesian Macroeconomics
2024
Evolutionary Economics Evolutionary Economics
2024
Problem-solving and Learning for Public Services and Public Management Problem-solving and Learning for Public Services and Public Management
2024
Time Series Econometrics Time Series Econometrics
2023