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Titlebook: Computational Financial Mathematics using MATHEMATICA?; Optimal Trading in S Srdjan Stojanovic Textbook 2003 S. Stojanovic 2003 Mathematica

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書目名稱Computational Financial Mathematics using MATHEMATICA?
副標(biāo)題Optimal Trading in S
編輯Srdjan Stojanovic
視頻videohttp://file.papertrans.cn/233/232285/232285.mp4
圖書封面Titlebook: Computational Financial Mathematics using MATHEMATICA?; Optimal Trading in S Srdjan Stojanovic Textbook 2003 S. Stojanovic 2003 Mathematica
描述.Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading software industry. Mathematical advances have been made both analytically and numerically in finding practical solutions. .This book provides a comprehensive overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte-- Carlo. Nowadays, only good personal computers are required to handle the symbolic and numerical methods that are developed in this book. .Key features: * No previous knowledge of Mathematica programming is required * The symbolic, numeric, data management and graphic capabilities of Mathematica are fully utilized * Monte--Carlo solutions of scalar and multivariable SDEs are developed and utilized heavily in discussing trading issues such as Black--Scholes
出版日期Textbook 2003
關(guān)鍵詞Mathematica; Options; Portfolio; Portfolio Diversification; Portfolio Optimization; STATISTICA; Stochastic
版次1
doihttps://doi.org/10.1007/978-1-4612-0043-7
isbn_softcover978-1-4612-6586-3
isbn_ebook978-1-4612-0043-7
copyrightS. Stojanovic 2003
The information of publication is updating

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Stock Market Statistics,ls that are used to describe the market dynamics are correct to a significant degree, . if the . of those models can be . with a significant degree of precision, using the available market data as well as possibly some other more or less ad hoc hunches and/or privileged insights. This chapter is abo
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American Style Stock Options,ons. Their possible exercise date is fixed in advance. On the other hand, the fact is that options that are usually traded on the option market can be exercised at any time before the expiry, although most often they are not. Such options are called American options. As seen so far, the problem of p
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https://doi.org/10.1007/978-3-322-85217-5, such as stocks of publicly traded companies. The risk that an investor assumes when investing in stocks has to be understood and taken into consideration. Estimating how much risk is actually taken when investing, deciding in advance how much risk to take when investing, and then according to such
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