QuantNet Best-selling Quant Books of 2012

Andy Nguyen

  1. A Primer for the Mathematics of Financial Engineering, 2nd Ed - Dan Stefanica
  2. Solutions, Primer For The Mathematics Of Financial Engineering, 2nd Ed - Dan Stefanica
  3. Quant Job Interview Questions And Answers– Mark Joshi
  4. Fifty Challenging Problems in Probability with Solutions – Frederick Mosteller
  5. The Complete Guide to Capital Markets for Quantitative Professionals
  6. My Life as a Quant: Reflections on Physics and Finance – Emanuel Derman
  7. Heard on The Street: Quantitative Questions from Wall Street Job Interviews - Timothy Crack
  8. Frequently Asked Questions in Quantitative Finance - Paul Wilmott
  9. A Practical Guide To Quantitative Finance Interviews – Xinfeng Zhou
  10. Liar's Poker - Michael Lewis
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  11. Cracking the Coding Interview: 150 Programming Questions and Solutions - Gayle Laakmann McDowell
  12. How I Became a Quant: Insights from 25 of Wall Street's Elite - Richard R. Lindsey
  13. Problem Solving with C++, 8th Edition - Walter Savitch
  14. Options, Futures and Other Derivatives (8th Edition) - John Hull
  15. Stochastic Calculus for Finance I: The Binomial Asset Pricing Model - Steven Shreve
  16. Paul Wilmott on Quantitative Finance 3 Volume Set (2nd Edition) - Paul Wilmott
  17. Stochastic Calculus for Finance II: Continuous-Time Models - Steven Shreve
  18. Principles of Financial Engineering, 2nd Edition - Salih Neftci
  19. C++ Design Patterns and Derivatives Pricing - Mark Joshi
  20. C++ Primer Plus - Stephen Prata
  21. The Big Short: Inside the Doomsday Machine - Michael Lewis
  22. When Genius Failed: The Rise and Fall of Long-Term Capital Management - Roger Lowenstein
  23. Starting Your Career as a Wall Street Quant - Brett Jiu
  24. Reminiscences of a Stock Operator - Edwin Lefevre
  25. The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It - Scott Patterson
The following list is compiled from aggregate, anonymously collected data and provided by Amazon with our referrer data.