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A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural...
Recent Econometric Techniques for Macroeconomic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 27)
Recent Econometric Techniques for Macroeconomic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 27)

The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic...

Advanced Quantitative Finance with C++
Advanced Quantitative Finance with C++

Create and implement mathematical models in C++ using Quantitative Finance

About This Book

  • Describes the key mathematical models used for price equity, currency, interest rates, and credit derivatives
  • The complex models are explained step-by-step along with a flow chart of every...
Liability-Driven Investment: From Analogue to Digital, Pensions to Robo-Advice (Wiley Finance)
Liability-Driven Investment: From Analogue to Digital, Pensions to Robo-Advice (Wiley Finance)

Understand the investment template that dominates the pension industry

Liability-Driven Investment is the practitioner’s guide to this increasingly popular investment template. Already the dominant framework for pension schemes in Europe and the UK, the LDI market is expected to grow significantly...

A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable expressive power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to...
Personal Finance with Python: Using pandas, Requests, and Recurrent
Personal Finance with Python: Using pandas, Requests, and Recurrent
Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together. 

In Personal Finance with Python you will learn Python and finance at...
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)

The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python...

Ada for Software Engineers
Ada for Software Engineers
Ada has become the language of choice for high integrity software systems, and is now used extensively in applications such as transportation, finance, aerospace and heavy industry. This book is aimed at professional software engineers making the transition to Ada, and at students using Ada for advanced undergraduate projects or graduate research....
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)

Supercharge options analytics and hedging using the power ofPython

Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...

Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series)
Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series)

Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics,...

Introducing Monte Carlo Methods with R (Use R)
Introducing Monte Carlo Methods with R (Use R)

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing...

Spatial Microeconometrics (Routledge Advanced Texts in Economics and Finance)
Spatial Microeconometrics (Routledge Advanced Texts in Economics and Finance)

Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key...

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