Download Free Mastering Financial Calculations Book in PDF and EPUB Free Download. You can read online Mastering Financial Calculations and write the review.

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook Description The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and sklearn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis. What you will learnSolve linear and nonlinear models representing various financial problemsPerform principal component analysis on the DOW index and its componentsAnalyze, predict, and forecast stationary and non-stationary time series processesCreate an event-driven backtesting tool and measure your strategiesBuild a high-frequency algorithmic trading platform with PythonReplicate the CBOT VIX index with SPX options for studying VIX-based strategiesPerform regression-based and classification-based machine learning tasks for predictionUse TensorFlow and Keras in deep learning neural network architectureWho this book is for If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.
Mastering Financial Calculations starts by introducing the fundamentals of financial market arithmetic, including the core concepts of discounting, net present value, effective yields, and cash flow analysis. Next, walk step-by-step through the essential calculations and financial techniques behind money markets and futures, zero-coupon analysis, interest rate and currency swaps, bonds, foreign exchange, options, and more. Making use of many worked examples and practical exercises, the book explains challenging concepts such as forward pricing, duration analysis, swap valuation, and option pricing - all with exceptional clarity. Whether you are a trader, fund manager, corporate treasurer, programmer, accountant, risk manager, or market student, you'll gain the ability to manipulate and apply these techniques with speed and confidence. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
This book explores the mathematics that underpins pricing models for derivative securities such as options, futures and swaps in modern markets. Models built upon the famous Black-Scholes theory require sophisticated mathematical tools drawn from modern stochastic calculus. However, many of the underlying ideas can be explained more simply within a discrete-time framework. This is developed extensively in this substantially revised second edition to motivate the technically more demanding continuous-time theory.
This book provides aspiring quant developers with the numerical techniques and programming skills needed in quantitative finance. No programming background required.
If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
All the precision of financial modeling--and none of the complexity Evidence-based decision making is only as good as the external evidence on which it is based. Financial models uncover potential risks on a company’s balance sheet, but the complexity of these instruments has limited their effectiveness. Now, Mastering Financial Modeling offers a simplified method for building the fast and accurate financial models serious evidencebased decision makers need. What sets this practical guide apart is its "learning-on-the-job" approach. Unlike other books that teach modeling in a vacuum, this superior method uses a diverse collection of case studies to convey each step of the building process. "Learning on the job" connects the dots between the proper Excel formulas and functions and the real-world situations where you want to use them. By learning through association, you can absorb the information quickly and have it ready to use when you need it. The book starts right off on building models--from creating a standalone cash flow model through integrating it with an income statement and balance sheet. Along the way, you will master the skill set you need to build advanced financial models. With only a basic knowledge of accounting and finance, individual investors and financial professionals alike can: Create a core model and customize it for companies in most industries Understand every working component of a financial model and what each one tells you about a company Format cells and sheets in Excel for easily repeatable modeling Written with the practitioner in mind, Mastering Financial Modeling shows you how to ensure your model is ready for real-world application by safeguarding it against modeling errors. It covers a full array of Excel's builtin auditing and testing tools and illustrates how to build customized error-checking tools of your own to catch the inaccuracies that typically fall through the cracks. Get the most out of your data with Mastering Financial Modeling. Mastering Financial Modeling brings the power of financial models down to earth and puts it in the hands of investors, bankers, and private equity professionals who don't have a passion for crunching numbers. Nowhere else can you get step-by-step instruction on building these valuable tools from an elite World Bank investment officer. Starting from the ground up, Eric Soubeiga shows you how to interpret and build financial models in Microsoft Excel that will accurately assess any company’s valuation and profit potential. Even if you have unsuccessfully tried financial modeling in the past, this book will reach you because it associates every lesson to the business world you work in daily. Chapter by chapter, you will master financial modeling, and in the end, you will: Command authority over building every aspect of a financial model Be capable of explaining the accounting and finance concepts behind the mechanics of modeling Confidently determine a company’s ability to generate cash flows for its capital investors with discounted cash flow (DCF) modeling Execute powerful spreadsheet calculations in Excel Most importantly, as a decision maker, the insight you bring to the table through your sophisticated understanding and application of financial modeling will benefit every stakeholder. See what leading professionals around the world already know--Mastering Financial Modeling is the most comprehensive guide on the market for designing, building, and implementing valuation projection models. What it does from there is up to you.
"Bibliography found online at tonyrobbins.com/masterthegame"--Page [643].