Formalism is securing the outputs of research, but may, in other circumstances, burden the understanding by non-mathematicians an example of this case is in the chapter dedicated to the basis of stochastic calculus. The author has avoided excessive formalism where possible. Thus, the intention of this book is for the practitioner to gain a deeper understanding of these calculations, both for a safety reason it is better to understand what is behind the data we manipulate and secondly being able to appreciate the magnitude of the prices we are confronted with and being able to draft a rough calculation, aside of the market data. These formulae are translated from algebra into plain English to aid understanding as the vast majority of practitioners involved in the financial markets are not required to compute or calculate prices or sensitivities themselves as they have access to data providers. The Mathematical formulae are only fully proven when the proof brings some useful insight. The book only requires the reader to be knowledgeable in the basics of algebra and statistics. Given the variety and the complexity of the materials the book covers, the author sorts through a vast array of topics in a subjective way, relying upon more than twenty years of experience as a market practitioner.
The book aims to prioritise what needs mastering and presents the content in the most understandable, concise and pedagogical way illustrated by real market examples.
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