Probability for Finance

· Cambridge University Press
電子書
208
評分和評論未經驗證  瞭解詳情

關於本電子書

Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. Consequently it provides essential prerequisites to graduate-level study of modern finance and, more generally, to the study of stochastic processes. Results are proved carefully and the key concepts are motivated by concrete examples drawn from financial market models. Students can test their understanding through the large number of exercises and worked examples that are integral to the text.

關於作者

Ekkehard Kopp is Emeritus Professor of Mathematics at the University of Hull, where he taught courses at all levels in analysis, measure and probability, stochastic processes and mathematical finance between 1970 and 2007. His editorial experience includes service as founding member of the Springer Finance series (1998–2008) and the Cambridge University Press AIMS Library Series. He has taught in the UK, Canada and South Africa and he has authored more than 50 research publications and five books.

Jan Malczak has published over 20 research papers. He has taught courses in analysis, differential equations, measure and probability, and in the theory of stochastic differential processes, mainly at the Jagiellonian University in Kraków. He has supervised about 60 MSc dissertations, mostly in mathematical finance. He is now Professor of Mathematics in the Faculty of Applied Mathematics at AGH University of Science and Technology in Kraków, Poland.

Tomasz Zastawniak holds the Chair of Mathematical Finance at the University of York. He has authored about 50 research publications and four books. He has supervised four PhD dissertations and around 80 MSc dissertations in mathematical finance.

為這本電子書評分

歡迎提供意見。

閱讀資訊

智慧型手機與平板電腦
只要安裝 Google Play 圖書應用程式 Android 版iPad/iPhone 版,不僅應用程式內容會自動與你的帳戶保持同步,還能讓你隨時隨地上網或離線閱讀。
筆記型電腦和電腦
你可以使用電腦的網路瀏覽器聆聽你在 Google Play 購買的有聲書。
電子書閱讀器與其他裝置
如要在 Kobo 電子閱讀器這類電子書裝置上閱覽書籍,必須將檔案下載並傳輸到該裝置上。請按照說明中心的詳細操作說明,將檔案傳輸到支援的電子閱讀器上。