This text has grown out of a two-semester course sequence in the Carnegie Mellon Master’s program in Computational Finance. It contains numerous examples, exercises, and references. It assumes the reader is familiar with differential and integral calculus and basic concepts from calculus-based probability. It does not assume familiarity with measure-theoretic probability, but rather informally develops the necessary tools from this subject within the text.
Features
- “A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions. In summary, this is a well-written text that treats the key classical models of finance through an applied probability approach….It should serve as an excellent introduction for anyone studying the mathematics of the classical theory of finance.” –SIAM
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