The Quick Guide to Financial Models
Seiten
2020
John Wiley & Sons Inc (Verlag)
978-1-118-84385-7 (ISBN)
John Wiley & Sons Inc (Verlag)
978-1-118-84385-7 (ISBN)
Minimum text, maximum financial math The Quick Guide to Financial Models is a complete financial mathematics resource. Perfect for quants, students, software developers, model validation analysts, credit analysts, and more, this book is a reference for everything you need to know about quantitative financial analysis.
Minimum text, maximum financial math The Quick Guide to Financial Models is a complete financial mathematics resource. Perfect for quants, students, software developers, model validation analysts, credit analysts, and more, this book is a reference for everything you need to know about quantitative financial analysis. Starting with the basics of financial math and progressing through mainstream financial topics and vertical specialties, this is the only mathematics text you need. All the equations, formulas, and definitions quantitative analysts need are together in one place in The Quick Guide to Financial Models. You can download spreadsheets with the models pre-loaded and start plugging in numbers immediately. Whatever topic you need to tackle, the information you need is here. What you won't find is a lot of unnecessary text and explanation. This book makes it easy to find what you need, read the figures directly, and get on with the business of analysis.
It includes: * Easy-to-read, direct-access formulas and text with no fluff * Mathematical models organized by thematic group * Online access to pre-loaded spreadsheets and resources * Comprehensive coverage, from basic financial math to the most advanced specialties Bankers, brokers, asset managers, hedge fund managers, and private equity pros will love this book, and so will everyone else. The bottom line is, if you are studying or working in quantitative finance, you need to have this book on your desk. Save time and unclutter your memory by keeping all the mathematical models you need between the covers of The Quick Guide to Financial Models.
Minimum text, maximum financial math The Quick Guide to Financial Models is a complete financial mathematics resource. Perfect for quants, students, software developers, model validation analysts, credit analysts, and more, this book is a reference for everything you need to know about quantitative financial analysis. Starting with the basics of financial math and progressing through mainstream financial topics and vertical specialties, this is the only mathematics text you need. All the equations, formulas, and definitions quantitative analysts need are together in one place in The Quick Guide to Financial Models. You can download spreadsheets with the models pre-loaded and start plugging in numbers immediately. Whatever topic you need to tackle, the information you need is here. What you won't find is a lot of unnecessary text and explanation. This book makes it easy to find what you need, read the figures directly, and get on with the business of analysis.
It includes: * Easy-to-read, direct-access formulas and text with no fluff * Mathematical models organized by thematic group * Online access to pre-loaded spreadsheets and resources * Comprehensive coverage, from basic financial math to the most advanced specialties Bankers, brokers, asset managers, hedge fund managers, and private equity pros will love this book, and so will everyone else. The bottom line is, if you are studying or working in quantitative finance, you need to have this book on your desk. Save time and unclutter your memory by keeping all the mathematical models you need between the covers of The Quick Guide to Financial Models.
| Erscheint lt. Verlag | 24.8.2020 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 150 x 250 mm |
| Gewicht | 666 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung |
| ISBN-10 | 1-118-84385-1 / 1118843851 |
| ISBN-13 | 978-1-118-84385-7 / 9781118843857 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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