Last edited by Kigadal
Friday, July 24, 2020 | History

5 edition of Mastering finance found in the catalog.

Mastering finance

Mastering finance

the complete finance companion

  • 215 Want to read
  • 8 Currently reading

Published by FT Pitman in London .
Written in English

    Subjects:
  • Finance

  • Edition Notes

    At head of title: Financial Times, in association with London Business School, The University of Chicago Graduate School of Business, Wharton

    Other titlesFinance, Complete finance companion
    SeriesFT mastering series
    ContributionsFinancial Times Limited
    The Physical Object
    Paginationix, 466 p. ;
    Number of Pages466
    ID Numbers
    Open LibraryOL16938886M
    ISBN 100273635379
    OCLC/WorldCa39946467

    This book is the result of more than 15 years of modeling work start-ing in academia and the aerospace industry, particularly the assembly of model can be used to help identify critical business issues and. MASTERING FINANCIAL MODELING. MASTERING FINANCIAL MODELING. MASTERING FINANCIAL MODELING.   Buy Mastering Financial Modelling in Microsoft Excel: A practitioner's guide to applied corporate finance (Financial Times Series) 2 by Day, Alastair (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible s: 7.

    Mastering finance. London: FT Pitman, (OCoLC) Document Type: Book: All Authors / Contributors: Financial Times Limited. ISBN: OCLC Number: Notes: At head of title: Financial Times, in association with London Business School, The University of Chicago Graduate School of. 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.

    COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.   The book offers a series of challenges designed to boost your personal finance I.Q. and help to gamify money management. When you approach your finances as .


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Mastering finance Download PDF EPUB FB2

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Learn more about how MyLab Finance helps students succeed. The book ends with important topics in quantitative finance. Mastering Corporate Finance Essentials covers all the essential elements of this field, from traditional capital budgeting concepts and methods of valuing investment projects under uncertainty to the importance of "real options" in the decision-making process.

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This volume of the Mastering Mathematical Finance series addresses the need for a course intended for master's students, final-year undergraduates, and practitioners. The book focuses on the two mainstream modelling approaches to credit risk, namely structural models and reduced-form models, and onpricing selected credit risk derivatives.

Yves Hilpisch‘s book is by far the best book on Python for finance, I have read. The book covers important basics such as numpy, pandas and time series as well as more sophisticated topics such as machine learning and algorithmic trading strategies.

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This book is also available for purchase on Amazon. Implement advanced state-of-the-art financial statistical applications using Python. MyLab and Mastering are the teaching and learning platforms that empower you to reach every student.

When combined with educational content written by respected scholars across the curriculum, MyLab and Mastering help deliver the learning outcomes that students and instructors aspire to. Learn more about how MyLab and Mastering help students. EBOOK SYNOPSIS: 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. Mastering Financial Accounting Essentials: The Critical Nuts and Bolts (Wiley Finance Book ) - Kindle edition by McCrary, Stuart A.

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The book pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own.

By the end of the book, you will be well versed with various financial techniques using R and will be able to place good bets while making financial decisions. An ideal follow-up to Day's bestselling "Mastering Financial Modelling," the book brings together risk modeling theory and practice more effectively than ever before.

Day presents extensive tips and methods for developing Excel-based risk applications--including practical guidance on designing models and layering complexity on top of basic models.

Understanding corporate finance is a necessity for financial practitioners who struggle every day to find the right balance between maximizing corporate value and reducing a firm's financial risk. Divided into two comprehensive parts, Mastering Corporate Finance Essentials presents the material by example, using an extended scenario involving a.

staff, corporate staff and others involved in the financial markets. In particu-lar, he personally runs courses for several of the ACI exams – the ACI Diploma, the Dealing Certificate, Repo Markets and the Settlements Certificate.

He is the author of Mastering Repo Markets, also published by Financial. Mastering Python for Finance, 2nd Edition: Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications. Mastering Python for Finance, Second Edition will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation.

Learn to compute and record depreciation for book and tax purposes; the 4 major methods of GAAP depreciation; MACRS depreciation for tax purposes, including Section deductions; and tax depreciation for cars, SUVs and other vehicles.

Double-quiz in each section assures that you master it. In addition to printed options, students can get their books on the devices they love through Pearson’s MyLab and Mastering products, Amazon, and more. MyLab or Mastering with Pearson eText Pearson’s MyLab and Mastering products with eText are online homework, tutorial, and assessment programs that truly engage students in learning.

The book as such is based on Excelbut most examples can also be used with Excel Conclusion: In “Mastering Financial Modelling in Microsoft Excel“, Alastair L. Day shows a lot of expertise. The book is full of usable solutions for the finance practitioner – but the often very short descriptions call for solid existing knowledge.

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. Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key Features Explore advanced financial models used by the industry and ways of solving them using Python Build state-of-the-art infrastructure for modeling, visualization, trading, and more Empower your financial applications by applying machine learning and deep learning.

Mastering Financial Modelling in Microsoft Excel book. Read reviews from world’s largest community for readers. With every major choice we face we run t /5(24).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.