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Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree -  Yoshifumi Muroi

Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree (eBook)

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2022 | 1st ed. 2022
VIII, 106 Seiten
Springer Nature Singapore (Verlag)
978-981-19-1073-9 (ISBN)
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This book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus. It also shows that applications of the discrete Malliavin calculus approach to the binomial tree model offer fundamental tools for computing Greeks.

The binomial tree approach is one of the most popular methods in option pricing. Although it is a fairly traditional model for option pricing, it is still widely used in financial institutions since it is tractable and easy to understand. However, the book shows that the tree approach also offers a powerful tool for deriving the Greeks for options. Greeks are quantities that represent the sensitivities of the price of derivative securities with respect to changes in the underlying asset price or parameters.

The Malliavin calculus, the stochastic methods of variations, is one of the most popular tools used to derive Greeks. However, it is also very difficult to understand for most students and practitioners because it is based on complex mathematics. To help readers more easily understand the Malliavin calculus, the book introduces the discrete Malliavin calculus, a theory of the functional for the Bernoulli random walk. The discrete Malliavin calculus is significantly easier to understand, because the functional space of the Bernoulli random walk is realized in a finite dimensional space. As such, it makes this valuable tool far more accessible for a broad readership.



Yoshifumi Muroi, Graduate School of Economics and Management, Tohoku University
This book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus. It also shows that applications of the discrete Malliavin calculus approach to the binomial tree model offer fundamental tools for computing Greeks.The binomial tree approach is one of the most popular methods in option pricing. Although it is a fairly traditional model for option pricing, it is still widely used in financial institutions since it is tractable and easy to understand. However, the book shows that the tree approach also offers a powerful tool for deriving the Greeks for options. Greeks are quantities that represent the sensitivities of the price of derivative securities with respect to changes in the underlying asset price or parameters. The Malliavin calculus, the stochastic methods of variations, is one of the most popular tools used to derive Greeks. However, it is also very difficult to understand for most students and practitioners because it is based on complex mathematics. To help readers more easily understand the Malliavin calculus, the book introduces the discrete Malliavin calculus, a theory of the functional for the Bernoulli random walk. The discrete Malliavin calculus is significantly easier to understand, because the functional space of the Bernoulli random walk is realized in a finite dimensional space. As such, it makes this valuable tool far more accessible for a broad readership.
Erscheint lt. Verlag 17.4.2022
Reihe/Serie JSS Research Series in Statistics
JSS Research Series in Statistics
JSS Research Series in Statistics
SpringerBriefs in Statistics
SpringerBriefs in Statistics
Zusatzinfo VIII, 106 p. 5 illus.
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Recht / Steuern Wirtschaftsrecht
Wirtschaft Betriebswirtschaft / Management Finanzierung
Schlagworte Bernoulli Random Walk • Binomial Tree Method • Discrete Ito Formula • Discrete Malliavin Calculus • Greeks (Sensitivity of Options)
ISBN-10 981-19-1073-1 / 9811910731
ISBN-13 978-981-19-1073-9 / 9789811910739
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