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Featured QuantNet Best-selling Quant Books of 2017

Discussion in 'Books' started by Andy Nguyen, 1/26/18.

  1. Andy Nguyen

    Andy Nguyen Member

    QuantNet has been compiling the annual list of best-selling quant books our members purchase every year since 2010 (see the best-selling book lists of 2016, 2015, 2014, 2013, 2012, 2011, 2010). The following list is 20 best-selling quant books of 2017 (both hard-copy and ebooks). The first ever non finance related book that made our list is #20 Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future by Ashlee Vance.

    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. A Practical Guide To Quantitative Finance Interviews - Xinfeng Zhou
    4. Fifty Challenging Problems in Probability with Solutions - Frederick Mosteller
    5. Solutions Manual - A Primer For The Mathematics Of Financial Engineering, Second Edition - Dan Stefanica
    6. The Complete Guide to Capital Markets for Quantitative Professionals - Alex Kuznetsov
    7. Quant Job Interview Questions and Answers (Second edition) - Mark Joshi
    8. A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more - Dan Stefanica
    9. When Genius Failed: The Rise and Fall of Long-Term Capital Management - Roger Lowenstein
    10. My Life as a Quant: Reflections on Physics and Finance - Emanuel Derman
    11. Heard on the Street: Quantitative Questions from Wall Street Job Interviews - Timothy Crack
    12. How I Became a Quant: Insights from 25 of Wall Street's Elite - Richard R. Lindsey, Barry Schachter
    13. C++ Primer Plus (6th Edition) (Developer's Library) - Stephen Prata
    14. Stochastic Calculus for Finance I: The Binomial Asset Pricing Model - Steven Shreve
    15. Elementary Stochastic Calculus With Finance in View - Thomas Mikosch
    16. Frequently Asked Questions in Quantitative Finance - Paul Wilmott
    17. Options, Futures and Other Derivatives (8th Edition) - John Hull
    18. Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance) - Steven Shreve
    19. Cracking the Coding Interview: 150 Programming Questions and Solutions - Gayle Laakmann McDowell
    20. Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future - Ashlee Vance
  2. Convoxity

    Convoxity Member

    You're the man, Andy!!
  3. satyag

    satyag Member

    I highly recommend the new book Advances in Financial Machine Learning - Marcos Lopez de Prado

    It is a treasure trove filled with ideas and real code from an eminent practitioner that manages several billions of dollars.
    Andy Nguyen likes this.
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