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Handbook of Price Impact Modeling
Handbook of Price Impact Modeling provides practitioners and students with a mathematical framework grounded in academic references to apply price impact models to quantitative …
Stochastic Models of Financial Mathematics
This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black–Scholes and interest …
The Financial Mathematics of Market Liquidity
This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance. The Financial …
Financial Mathematics For Actuaries (Second Edition)
Financial Mathematics for Actuaries is a textbook for students in actuarial science, quantitative finance, financial engineering and quantitative risk management and is designed …
Introducing Financial Mathematics
Introducing Financial Mathematics: Theory, Binomial Models, and Applications seeks to replace existing books with a rigorous stand-alone text that covers fewer examples in greater …
Financial Mathematics of Market Liquidity
This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance. The Financial …
Introduction to Financial Mathematics
This book's primary objective is to educate aspiring finance professionals about mathematics and computation in the context of financial derivatives. The authors offer a balance of …
Credit Risk
Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be …
Financial Mathematics
Financial Mathematics is an exciting, emerging field of application. The five sets of course notes in this book provide a bird's eye view of the current "state of the art" and …
Financial Mathematics with MS Excel: Time Value of Money
Modern Cryptography Volume 1
This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the …
Machine Learning for Factor Investing
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, …