Mastering Finance

FT Mastering Finance brings together the latest in financial expertise from three of the best finance schools in the world. Built around three core modules - corporate finance, investment and financial markets - it provides an understanding and application of financial skills, covering such areas as capital structure, floors, random walk and risk management.

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.

This book offers a unique blend of academic rigour and practical insight and uses examples and illustrations drawn from a wide range of real-life situations. Mastering Financial Management will help you to tease out meaning from company accounts, make your financial reports interesting and influential, manage budgets and motivate people to achieve targets, and much more. Ideal as a text for all students requiring an introduction to financial management and for business managers with no financial background.

This book introduces key results essential for financial practitioners by means of concrete examples and a fully rigorous exposition.

A practical guide for business calculations Mastering Financial Mathematics in Microsoft © Excel provides a comprehensive set of tools, methods and formulas which apply Excel to solving mathematical problems. The book: Explains basic calculations for mathematical finance Shows how to use formulas using straightforward Excel templates Provides a CD of basic templates This fully revised and updated guide is an essential companion for anyone involved in finance, from company accountants, through to analysts, treasury managers and business students. Explaining basic calculations and using examples and exercises, the book covers: Cash flows Bonds calculations and bonds risks Amortization and depreciation Forward interest rates and futures Foreign exchange Valuation Leasing Mastering Financial Mathematics in Microsoft Excel is a practical guide to using Excel for financial mathematics. This new edition includes: Excel 2007 Addition of a glossary of key terms Functions list in English and Euro languages Continuity check on all formats, layouts and charts More worked examples Addition of exercises at the end of each chapter to help build models About the authors Alastair Day has worked in the finance industry for more than 25 years in treasury and marketing functions and was formerly a director of a vendor leasing company specializing in the IT and technology industries. After sale to a public company he established Systematic Finance as a consultancy specializing in: ■ Financial modelling – review, design, build and audit ■ Training in financial modelling, corporate finance, leasing and credit analysis on an in-house and public basis throughout Europe, Middle East, Africa, Asia and America ■ Finance and operating lease structuring as a consultant and lessor Alastair is author of three modelling books published by FT Prentice Hall: Mastering Financial Modelling, Mastering Risk Modelling and Mastering Financial Mathematics in Excel, all of which are in their second editions, as well as other books and publications on financial analysis and leasing. Alastair has a degree in Economics and German from London University and an MBA from the Open University Business School. * * * * * * *

If you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.