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Financial Mathematics: Concepts and Computational Methods
This text serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like.

Mathematical Methods for Economic Theory (Martin J. Osborne)
This book covers the basic mathematical tools used in economic theory. It emphasizes techniques rather than abstract theory. However, the conditions under which each technique is applicable are stated precisely.

Stochastic Differential Equations: Models and Numerics
The goal of this book is to give useful understanding for solving problems formulated by stochastic differential equations models in science, engineering and mathematical finance. Typically, these problems require numerical methods to obtain a solution.

Applied Quantitative Finance: Theory and Computational Tools
This book presents solutions, theoretical developments and method proliferation for many practical problems in quantitative finance. The combination of practice and theory supported by computational tools is reflected in the selection of topics.

Financial Numerical Recipes in C++: Applications in Finance
This book provides a good deal of useful examples and algorithms for people working within the field of finance, in C++. All the routines have been made to confirm to the new ISO/ANSI C++ standard, using namespaces and the standard template library.

Stochastic Calculus and Finance (Steven E. Shreve)
The book gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided.

Mathematical Models in Portfolio Analysis (Farida Kachapova)
This book explains portfolio modelling in financial mathematics as a consistent mathematical theory with all steps justified. The topics include meanvariance portfolio analysis and capital market theory. The book contains many examples with solutions.

Numerical Methods for Finance (Robert Nurnberg)
This book explores new and relevant numerical methods for the solution of practical problems in finance. It is one of the few books entirely devoted to numerical methods as applied to the financial field.

Analysis and Linear Algebra for Finance (Patrick Roger)
This book presents the elements of analysis and linear algebra used in financial models and in microeconomics. Functions of one and several variables and matrices are developed as well as vector spaces, linear mappings and optimization methods, etc.

Price Theory: An Intermediate Text (David D. Friedman)
This book was designed to develop the reader's understanding of the economic way of thinking by first providing verbal, intuitive explanations of concepts, then illustrating them with graphs and/or calculus..

Mastering Ethereum: Building Smart Contracts and DApps
The book is intended to serve both as a reference manual and as a covertocover exploration of Ethereum. If you're looking to get started with the Ethereum protocol (open source developers, integrators, etc.), this is the definitive book on the topic.

Mastering Bitcoin: Programming the Open Blockchain
This book is your guide through the seemingly complex world of Bitcoin, providing the knowledge you need to participate in the internet of money. It will help you engineer money. You're about to unlock the API to a new economy. This book is your key.

Games, Fixed Points and Mathematical Economics (C. Ewald)
This book gives the reader access to the mathematical techniques involved and goes on to apply fixed point theorems to proving the existence of equilibria for economics and for cooperative and noncooperative games.

Portfolio Theory and Financial Analyses (Robert Alan Hill)
This book connects each of the major categories of techniques and practices to the unifying and seminal conceptual developments of modern portfolio theory, whether these involve measuring the return on a portfolio, analysing portfolio risk or evaluating the quality of the portfolio management process.

Financial Applications using Excel Addin in C/C++ (Steve Dalton)
This book is a mustbuy book for any serious Excel developer, the only complete howto guide and reference book for the creation of high performance addins for Excel in C and C++ for users in the finance industry.

Stochastic Processes for Finance (Patrick Roger)
It describes the most important stochastic processes used in finance in a pedagogical way, especially Markov chains, Brownian motion and martingales. It also shows how mathematical tools like filtrations, Ito's lemma or Girsanov theorem should be understood in the framework of financial models.

Python for Econometrics, Statistics and Data Analysis
This book provides an introduction to Python for a beginning programmer. They may also be useful for an experienced Python programmer interested in using NumPy, SciPy, and matplotlib for numerical and statistical analaysis.

Probability for Finance (Patrick Roger)
This book provides technical support for students in finance. It reviews the main probabilistic tools used in financial models in a pedagogical way, starting from simple concepts like random variables and tribes and going to more sophisticated ones like conditional expectations and limit theorems.

From Algorithms to ZScores: Probabilistic and Statistical Modeling
This is a textbook for a course in mathematical probability and statistics for computer science students.

Basic Data Analysis and More  A Guided Tour Using Python
In this book, a selection of frequently required statistical tools will be introduced and illustrated.

A Beautiful Math: John Nash, Game Theory, and a Code of Nature
At the time of Nash's early work, game theory was briefly popular among some mathematicians and Cold War analysts.

The Pure Logic Of Choice (Richard D. Fuerle)
This book presents a general theory of economics based on free will. The laws of economics are deduced from the premise that people have free will and can change physical things in an attempt to achieve their chosen values.

Accounting Succinctly: A Developer's Guide (Joe Booth)
This book is a developer's guide to basic accounting. Written with business app development in mind, it discusses some of the most common accounting processes, including assets, multiple accounts, journaling, posting, inventory, and payroll.

DevOps for Finance (Jim Bird)
Aims to debunk that myth by showing how the finance industry can benefit from DevOps practices and perform a greater degree of automation by implementing DevOps properly. It explains DevOps benefits that are far more important for the financial services industry.

Mathematics for Finance: An Introduction to Financial Engineering
This book is an excellent introduction to Mathematical Finance. Armed with a knowledge of basic calculus and probability a student can use this book to learn about derivatives, interest rates and their term structure and portfolio management.

Statistical Tools for Finance and Insurance (Pavel Cizek, et al)
This book presents readytouse solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance.

Statistics of Financial Markets: An Introduction (Jürgen Franke)
The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets.

Strategic Foundations of General Equilibrium: Bargaining Games
Making use of insights from game theory, search theory and bargaining theory, the author develops a model to explain what actually goes on in markets and how a competitive general equilibrium is achieved.

Financial Mathematics and Financial Engineering
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