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Viser: Stochastic Analysis for Finance with Simulations
Stochastic Analysis for Finance with Simulations Vital Source e-bog
Geon Ho Choe
(2016)
Stochastic Analysis for Finance with Simulations Vital Source e-bog
Geon Ho Choe
(2016)
Stochastic Analysis for Finance with Simulations Vital Source e-bog
Geon Ho Choe
(2016)
Stochastic Analysis for Finance with Simulations Vital Source e-bog
Geon Ho Choe
(2016)
Stochastic Analysis for Finance with Simulations
Geon Ho Choe
(2016)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Juli 2016)
- ISBN: 9783319255897
Bookshelf online: 5 år fra købsdato.
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- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juli 2016)
- ISBN: 9783319255897R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
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- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juli 2016)
- ISBN: 9783319255897R180
Bookshelf online: 180 dage fra købsdato.
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- Vital Source 365 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juli 2016)
- ISBN: 9783319255897R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Detaljer om varen
- 1. Udgave
- Paperback: 659 sider
- Udgiver: Springer International Publishing AG (Juli 2016)
- ISBN: 9783319255873
The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts.
Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry.