91,71 €
107,89 €
-15% su kodu: ENG15
Stochastic Calculus for Finance I
Stochastic Calculus for Finance I
91,71
107,89 €
  • Išsiųsime per 10–14 d.d.
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this materi…
  • Leidėjas:
  • Metai: 2005
  • Puslapiai: 208
  • ISBN-10: 0387249680
  • ISBN-13: 9780387249681
  • Formatas: 15.5 x 23.5 x 1.1 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Stochastic Calculus for Finance I (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

(4.32 Goodreads įvertinimas)

Aprašymas

Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.

This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume.

Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance.

Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful.

Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.

EXTRA 15 % nuolaida su kodu: ENG15

91,71
107,89 €
Išsiųsime per 10–14 d.d.

Akcija baigiasi už 6d.07:39:38

Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.

Prisijunkite ir už šią prekę
gausite 1,08 Knygų Eurų!?
Įsigykite dovanų kuponą
Daugiau
  • Autorius: Steven Shreve
  • Leidėjas:
  • Metai: 2005
  • Puslapiai: 208
  • ISBN-10: 0387249680
  • ISBN-13: 9780387249681
  • Formatas: 15.5 x 23.5 x 1.1 cm, minkšti viršeliai
  • Kalba: Anglų Anglų

Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.

This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume.

Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance.

Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful.

Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)