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QuantNet Best-selling Quant Books of 2016

QuantNet has been compiling the annual list of best-selling quant books our members purchase since 2010 (see the best-selling list of 2010, 2011, 2012, 2013, 2014, 2015). The following list is 20 best-selling quant books of 2016 (both hard-copy and ebooks), compiled from aggregate, anonymously collected data, provided by Amazon with QuantNet tags.
  1. 150 Most Frequently Asked Questions on Quant Interviews - Dan Stefanica, Rados Radoicic, Tai-Ho Wang
  2. A Primer For The Mathematics Of Financial Engineering, Second Edition - Dan Stefanica
  3. Fifty Challenging Problems in Probability with Solutions - Frederick Mosteller
  4. A Practical Guide To Quantitative Finance Interviews - Xinfeng Zhou
  5. How I Became a Quant: Insights from 25 of Wall Street's Elite - Richard R. Lindsey, Barry Schachter
  6. Solutions Manual - A Primer For The Mathematics Of Financial Engineering, Second Edition - Dan Stefanica
  7. The Complete Guide to Capital Markets for Quantitative Professionals - Alex Kuznetsov
  8. A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more - Dan Stefanica
  9. Quant Job Interview Questions and Answers (Second edition) - Mark Joshi
  10. My Life as a Quant: Reflections on Physics and Finance - Emanuel Derman
  11. C++ Primer Plus (6th Edition) (Developer's Library) - Stephen Prata
  12. When Genius Failed: The Rise and Fall of Long-Term Capital Management - Roger Lowenstein
  13. Elementary Stochastic Calculus With Finance in View - Thomas Mikosch
  14. Cracking the Coding Interview, 6th Edition: 189 Programming Questions and Solutions - Gayle Laakmann McDowell
  15. Frequently Asked Questions in Quantitative Finance - Paul Wilmott
  16. Principles of Financial Engineering, Second Edition - Salih Neftci
  17. Solutions Manual - A Linear Algebra Primer for Financial Engineering - Dan Stefanica
  18. Stochastic Calculus for Finance I: The Binomial Asset Pricing Model - Steven Shreve
  19. Heard on the Street: Quantitative Questions from Wall Street Job Interviews - Timothy Crack
  20. Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance) - Steven Shreve
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