Financial Mathematics: A Comprehensive Treatment in Discrete Time | Agenda Bookshop Skip to content
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
A01=Giuseppe Campolieti
A01=Roman N. Makarov
Age Group_Uncategorized
Age Group_Uncategorized
Author_Giuseppe Campolieti
Author_Roman N. Makarov
automatic-update
Category1=Non-Fiction
Category=KCHS
Category=KF
Category=KJMV5
Category=KNST
Category=PBT
Category=PBW
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch

Financial Mathematics: A Comprehensive Treatment in Discrete Time

English

By (author): Giuseppe Campolieti Roman N. Makarov

The book has been tested and refined through years of classroom teaching experience. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way.

This textbook provides complete coverage of discrete-time financial models that form the cornerstones of financial derivative pricing theory. Unlike similar texts in the field, this one presents multiple problem-solving approaches, linking related comprehensive techniques for pricing different types of financial derivatives.

Key features:

  • In-depth coverage of discrete-time theory and methodology.
  • Numerous, fully worked out examples and exercises in every chapter.
  • Mathematically rigorous and consistent yet bridging various basic and more advanced concepts.
  • Judicious balance of financial theory, mathematical, and computational methods.
  • Guide to Material.

This revision contains:

  • Almost 200 pages worth of new material in all chapters.
  • A new chapter on elementary probability theory.
  • An expanded the set of solved problems and additional exercises.
  • Answers to all exercises.

This book is a comprehensive, self-contained, and unified treatment of the main theory and application of mathematical methods behind modern-day financial mathematics.

See more
Current price €62.99
Original price €69.99
Save 10%
A01=Giuseppe CampolietiA01=Roman N. MakarovAge Group_UncategorizedAuthor_Giuseppe CampolietiAuthor_Roman N. Makarovautomatic-updateCategory1=Non-FictionCategory=KCHSCategory=KFCategory=KJMV5Category=KNSTCategory=PBTCategory=PBWCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 1090g
  • Dimensions: 178 x 254mm
  • Publication Date: 26 Aug 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032023076

About Giuseppe CampolietiRoman N. Makarov

Giuseppe Campolieti is Professor of Mathematics at Wilfrid Laurier University in Waterloo Canada. He has been Natural Sciences and Engineering Research Council postdoctoral research fellow and university research fellow at the University of Toronto. In 1998 he joined the Masters in Mathematical Finance as an instructor and later as an adjunct professor in financial mathematics until 2002. Dr. Campolieti also founded a financial software and consulting company in 1998. He joined Laurier in 2002 as Associate Professor of Mathematics and as SHARCNET Chair in Financial Mathematics.Roman N. Makarov is Associate Professor and Chair of Mathematics at Wilfrid Laurier University. Prior to joining Laurier in 2003 he was an Assistant Professor of Mathematics at Siberian State University of Telecommunications and Informatics and a senior research fellow at the Laboratory of Monte Carlo Methods at the Institute of Computational Mathematics and Mathematical Geophysics in Novosibirsk Russia.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept