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The mathematics of optionsquantifyin...

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The mathematics of optionsquantifying derivative price, payoff, probability, and risk /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The mathematics of optionsby Michael C. Thomsett.
其他題名:	quantifying derivative price, payoff, probability, and risk /
作者:	Thomsett, Michael C.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xxii, 331 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Options (Finance)
電子資源:	http://dx.doi.org/10.1007/978-3-319-56635-1
ISBN:	9783319566351$q(electronic bk.)

The mathematics of optionsquantifying derivative price, payoff, probability, and risk /
Thomsett, Michael C.

The mathematics of optionsquantifying derivative price, payoff, probability, and risk /[electronic resource] :by Michael C. Thomsett. - Cham :Springer International Publishing :2017. - xxii, 331 p. :ill., digital ;24 cm.

Introduction: The Variability of Derivatives Trading Chapter1 Trading Goals and Objectives -- Chapter2 The Role of Fundamental and Technical Analysis -- Chapter3 Pricing of the Option -- Chapter 4 The Dividend Effect -- Chapter5 Return Calculations -- Chapter6 Strategic Payoff: The Conservative Hedge -- Chapter7 Strategic Payoff: Spreads -- Chapter8 Strategic Payoff: Saddles -- Chapter9 Probability and Risk -- Chapter10 Option Pricing Models -- Chapter11 Alternatives to Pricing Models.

This book is written for the experienced portfolio manager and professional options traders. It is a practical guide offering how to apply options math in a trading world that demands mathematical measurement. Every options trader deals with an array of calculations: beginners learn to identify risks and opportunities using a short list of strategies, while researchers and academics turn to advanced technical manuals. However, almost no books exist for the experienced portfolio managers and professional options traders who fall between these extremes. Michael C. Thomsett addresses this glaring gap with The Mathematics of Options, a practical guide with actionable tools for the practical application of options math in a world that demands quantification. It serves as a valuable reference for advanced methods of evaluating issues of pricing, payoff, probability, and risk. In his characteristic approachable style, Thomsett simplifies complex hot button issues--such as strategic payoffs, return calculations, and hedging options--that may be mentioned in introductory texts but are often underserved. The result is a comprehensive book that helps traders understand the mathematic concepts of options trading so that they can improve their skills and outcomes.

ISBN: 9783319566351$q(electronic bk.)

Standard No.: 10.1007/978-3-319-56635-1doiSubjects--Topical Terms:

201472
Options (Finance)

LC Class. No.: HG6024.A3

Dewey Class. No.: 332.632283

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520 $a This book is written for the experienced portfolio manager and professional options traders. It is a practical guide offering how to apply options math in a trading world that demands mathematical measurement. Every options trader deals with an array of calculations: beginners learn to identify risks and opportunities using a short list of strategies, while researchers and academics turn to advanced technical manuals. However, almost no books exist for the experienced portfolio managers and professional options traders who fall between these extremes. Michael C. Thomsett addresses this glaring gap with The Mathematics of Options, a practical guide with actionable tools for the practical application of options math in a world that demands quantification. It serves as a valuable reference for advanced methods of evaluating issues of pricing, payoff, probability, and risk. In his characteristic approachable style, Thomsett simplifies complex hot button issues--such as strategic payoffs, return calculations, and hedging options--that may be mentioned in introductory texts but are often underserved. The result is a comprehensive book that helps traders understand the mathematic concepts of options trading so that they can improve their skills and outcomes.
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