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Javascript for the Financial Analyst

John Orford
Smart analysts are hampered by dumb spreadsheets. Investing a little time in modern programming ideas will reap immediate benefits. This book will show you how to use a few lines of JavaScript can automate your daily chores.

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About

About

About the Book

The ubiquitous Excel spreadsheet is both a gift and a curse to the finance industry.

On the one hand it is both a lingua franca and visually intuitive.

However, many problems are hard to solve, and even if solveable, it is difficult to show correctness when many hundreds of cell formulae are present.

Visual Basic for Applications can help, but it is showing its age, and many slightly different copies of spreadsheets lead to headaches.

JavaScript is even more ubiquitous than Excel (found in every Web browser) and is actively invested in by Microsoft, Apple, Google and Mozilla. Moreover it lends itself to being distributed centrally via the web.

It is a singular language.

Not only will this book show you how to use JavaScript for your everyday tasks, it will show you how to do it both beautifully and concisely.

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JavaScriptManagementFinanceFunctional Programming

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Author

About the Author

John Orford

John Orford is a self employed risk analyst. Previously the head of StateStreet Bank's Risk Service business for Asia Pacific; he has seen at first hand how smart financial analysts across the industry are hampered by spreadsheets and inadequate technological infrastructure.

Contents

Table of Contents

Introduction

  1. Javascript
  2. Functional
  3. The Way Forward
  4. Running Code

Getting Started with JavaScript

  1. Welcome to the Web’s OS
  2. More Info
  3. Try

Maps

  1. A Line of Code
  2. Extras
  3. Plumbing
  4. More Info
  5. Try

Pipes

  1. Plumbing Aesthetics
  2. More Info
  3. Try

Reduce

  1. Beginner’s Origami
  2. Efficiency
  3. Fundamental
  4. More Info
  5. Try

Higher Order Functions

  1. Functional Inputs
  2. Form and Function
  3. More Info
  4. Try

Decomposition

  1. Lobotomised
  2. Frankenstein
  3. Conclusion
  4. More Info
  5. Try

Asynchronicity & Performance

  1. Async
  2. VLookUp Example
  3. Generators
  4. Summary
  5. More Info
  6. Try

Concurrency

  1. Monte Carlo Method
  2. Concurrency
  3. Summary
  4. More Info
  5. Try

Visualisation

  1. Plotly
  2. Going 3D
  3. Summary
  4. More Info
  5. Try

D3

  1. Pipes
  2. Select & Enter
  3. Result
  4. Summary
  5. More Info
  6. Try

Statistics

  1. Async
  2. Decomposable Functions
  3. Pipes
  4. Bringing It All Together
  5. Summary
  6. More Info
  7. Try

Turbo Boost

  1. Underscore
  2. Lo Level Skulduggery
  3. Lazy.js
  4. Summary
  5. More Info
  6. Try

Numerical Analysis

  1. Keeping Things Simple
  2. Portfolio Optimisation
  3. Summary
  4. More Info
  5. Try

Immutability

  1. S&M
  2. Mutable Hell
  3. Simplicity
  4. An Example
  5. Conclusion
  6. More Info
  7. Try

Babel

  1. Setup
  2. Postbox Example
  3. A Neat Trick
  4. Conclusion
  5. More Info
  6. Try

Post Script

  1. Libraries
  2. In Relation to Python and R
  3. Node
  4. Runtime Improv
  5. Conclusion
  6. More Info
  7. Try

Appendix - Pipes and Extending Prototypes

  1. Conclusion

Appendix - Recursion

  1. Conclusion
  2. More Info
  3. Try

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