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2013-2014 QuantNet International Guide to Financial Engineering Programs
FREE QUANT CAREER GUIDES
CAREER AS A QUANT
- What do quant do ? A guide by Mark Joshi. Download
- Paul & Dominic's Guide to Quant Careers (see attachment)
- Career in Financial Markets 2011- a guide by efinancialcareers. Download
- Interview Preparation Guide by Michael Page: Quantitative Analysis. Download
- Interview Preparation Guide by Michael Page: Quantitative Structuring. Download
- Paul & Dominic's Job Hunting in Interesting Times Second Edition (see attachment)
- Peter Carr's A Practitioner's Guide to Mathematical Finance (see attachment)
- Max Dama's Guide to Automated Trading (see attachment)
BOOKS FOR QUANT INTERVIEWS
- The Complete Guide to Capital Markets for Quantitative Professionals
- Financial Engineering: The Evolution of a Profession
- My Life as a Quant: Reflections on Physics and Finance
- The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It
- How I Became a Quant: Insights from 25 of Wall Street's Elite
- The Big Short: Inside the Doomsday Machine
- Nerds on Wall Street: Math, Machines and Wired Markets
- Physicists on Wall Street and Other Essays on Science and Society
GOOD BOOKS TO READ BEFORE STARTING MFE PROGRAM
- 150 Most Frequently Asked Questions on Quant Interviews by Dan Stefanica, Rados Radoicic, Tai-Ho Wang
- Quant Job Interview Questions And Answers by Mark Joshi
- Frequently Asked Questions in Quantitative Finance by Wilmott
- Heard on The Street: Quantitative Questions from Wall Street Job Interviews by Timothy Crack
- Cracking the Coding Interview: 150 Programming Questions and Solutions by Gayle Laakmann McDowell
- A Practical Guide To Quantitative Finance Interviews by Xinfeng Zhou
- Basic Black-Scholes: Option Pricing and Trading by Timothy Crack
- Fifty Challenging Problems in Probability with Solutions by Frederick Mosteller
- Vault Guide to Advanced Finance & Quantitative Interviews
GENERAL READING ON WALL STREET
- A Primer For The Mathematics Of Financial Engineering, Second Edition
- Financial Options: From Theory to Practice
- Paul Wilmott on Quantitative Finance 3 Volume Set (2nd Edition)
- An Introduction to the Mathematics of Financial Derivatives, Second Edition by Salih Neftci
- Options, Futures, and Other Derivatives (8th Edition) by John Hull
- Principles of Financial Engineering, Second Edition by Salih Neftci
- Elementary Stochastic Calculus With Finance in View by Thomas Mikosch
- The Concepts and Practice of Mathematical Finance by Mark Joshi
- Financial Options: From Theory to Practice by Stephen Figlewski
- Financial Calculus : An Introduction to Derivative Pricing by Martin Baxter
- A Course in Financial Calculus by Etheridge Alison
- The Mathematics of Financial Derivatives: A Student Introduction by Paul Wilmott
- Frequently Asked Questions in Quantitative Finance by Paul Wilmott
- Derivatives Markets by Robert L. McDonald
- An Undergraduate Introduction to Financial Mathematics by Robert Buchanan
PROGRAMMING
- Liar's Poker: Rising Through the Wreckage on Wall Street
- Monkey Business: Swinging Through the Wall Street Jungle
- Reminiscences of a Stock Operator
- Working the Street: What You Need to Know About Life on Wall Street
- Fiasco: The Inside Story of a Wall Street Trader
- Den of Thieves
- When Genius Failed: The Rise and Fall of Long-Term Capital Management
- Traders, Guns & Money: Knowns and unknowns in the dazzling world of derivatives
- The Greatest Trade Ever: The Behind-the-Scenes Story of How John Paulson Defied Wall Street and Made Financial History
- Goldman Sachs : The Culture of Success
- The House of Morgan: An American Banking Dynasty and the Rise of Modern Finance
- Wall Street: A History: From Its Beginnings to the Fall of Enron
- The Murder of Lehman Brothers: An Insider’s Look at the Global Meltdown
- On the Brink: Inside the Race to Stop the Collapse of the Global Financial System
- House of Cards: A Tale of Hubris and Wretched Excess on Wall Street
- Too Big to Fail: The Inside Story of How Wall Street and Washington Fought to Save the Financial System-and Themselves
- Liquidated: An Ethnography of Wall Street
- Fortune’s Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street
C++ (ordered by level of difficulty)
C# (ordered by level of difficulty)
- Problem Solving with C++ (9th Edition) by Walter Savitch
- C++ How to Program (8th Edition) by Harvey Deitel
- Absolute C++ (5th Edition) by Walter Savitch
- Thinking in C++: Introduction to Standard C++, Volume One by Bruce Eckel
- Thinking in C++: Practical Programming, Volume Two by Bruce Eckel
- The C++ Programming Language: Special Edition by Bjarne Stroustrup (C++ inventor)
- Effective C++: 55 Specific Ways to Improve Your Programs and Designs by Scot Myers
- C++ Primer (4th Edition) by Stanley Lippman
- C++ Design Patterns and Derivatives Pricing (2nd edition) by Mark Joshi
- Financial Instrument Pricing Using C++ by Daniel Duffy
F# (ordered by level of difficulty)
- C# 2010 for Programmers (4th Edition)
- Computational Finance Using C and C# by George Levy
- C# in Depth, Second Edition by Jon Skeet
Matlab (ordered by level of difficulty)
- Programming F#: An introduction to functional language by Chris Smith
- F# for Scientists by Jon Harrops (Microsoft Researcher)
- Real World Functional Programming: With Examples in F# and C#
- Expert F# 2.0 by Don Syme
- Beginning F# by Robert Pickering
Excel
- Matlab: A Practical Introduction to Programming and Problem Solving
- Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)
VBA
- Excel 2007 Power Programming with VBA by John Walkenbach
- Excel 2007 VBA Programmer’s Reference
- Financial Modeling by Simon Benninga
- Excel Hacks: Tips & Tools for Streamlining Your Spreadsheets
- Excel 2007 Formulas by John Walkenbach
Python
- Advanced modelling in finance using Excel and VBA by Mike Staunton
- Implementing Models of Financial Derivatives: Object Oriented Applications with VBA
FINITE DIFFERENCES
MONTE CARLO
- Option Pricing: Mathematical Models and Computation, by P. Wilmott, J.N. Dewynne, S.D. Howison
- Pricing Financial Instruments: The Finite Difference Method, by Domingo Tavella, Curt Randall
- Finite Difference Methods in Financial Engineering: A Partial Differential Equation Approach by Daniel Duffy
STOCHASTIC CALCULUS
- Monte Carlo Methods in Finance, by Peter Jäcke (errata available at jaeckel.org)
- Monte Carlo Methodologies and Applications for Pricing and Risk Management , by Bruno Dupire (Editor)
- Monte Carlo Methods in Financial Engineering, by Paul Glasserman
- Monte Carlo Frameworks in C++: Building Customisable and High-performance Applications by Daniel J. Duffy and Joerg Kienitz
- Risk Management and Simulation by Aparna Gupta
VOLATILITY
- Stochastic Calculus and Finance by Steven Shreve (errata attached)
- Stochastic Differential Equations: An Introduction with Applications by Bernt Oksendal
INTEREST RATE
- Volatility and Correlation, by Riccardo Rebonato
- Volatility, by Robert Jarrow (Editor)
- Volatility Trading by Euan Sinclair
FX
- Interest Rate Models - Theory and Practice, by D. Brigo, F. Mercurio updates available on-line Professional Area of Damiano Brigo's web site
- Modern Pricing of Interest Rate Derivatives, by Riccardo Rebonato
- Interest-Rate Option Models, by Riccardo Rebonato
- Efficient Methods for Valuing Interest Rate Derivatives, by Antoon Pelsser
- Interest Rate Modelling, by Nick Webber, Jessica James
STRUCTURED FINANCE
- Foreign Exchange Risk, by Jurgen Hakala, Uwe Wystup
- Mathematical Methods For Foreign Exchange, by Alexander Lipton
STRUCTURED CREDIT
- The Analysis of Structured Securities: Precise Risk Measurement and Capital Allocation (Hardcover) by Sylvain Raynes and Ann Rutledge
- Salomon Smith Barney Guide to MBS & ABS, Lakhbir Hayre, Editor
- Securitization Markets Handbook, Structures and Dynamics of Mortgage- and Asset-backed securities by Stone & Zissu
- Securitization, by Vinod Kothari
- Modeling Structured Finance Cash Flows with Microsoft Excel: A Step-by-Step Guide (good for understanding the basics)
- Structured Finance Modeling with Object-Oriented VBA (a bit more detailed and advanced than the step by step book)
RISK MANAGEMENT/VAR
- Collateralized Debt Obligations, by Arturo Cifuentes
- An Introduction to Credit Risk Modeling by Bluhm, Overbeck and Wagner (really good read, especially on how to model correlated default events & times)
- Credit Derivatives Pricing Models: Model, Pricing and Implementation by Philipp J. Schönbucher
- Credit Derivatives: A Guide to Instruments and Applications by Janet M. Tavakoli
- Structured Credit Portfolio Analysis, Baskets and CDOs by Christian Bluhm and Ludger Overbeck
SAS/S/S-PLUS
- VAR Understanding and Applying Value at Risk, by various authors
- Value at Risk, by Philippe Jorion
- RiskMetrics Technical Document RiskMetrics Group
- Risk and Asset Allocation by Attilio Meucci
HANDS ON
- The Little SAS Book: A Primer, Fourth Edition by Lora D. Delwiche and Susan J. Slaughter
- Modeling Financial Time Series with S-PLUS
- Statistical Analysis of Financial Data in S-PLUS
- Modern Applied Statistics with S
NOT ENOUGH YET?
- Implementing Derivative Models, by Les Clewlow, Chris Strickland
- The Complete Guide to Option Pricing Formulas, by Espen Gaarder Haug
- Energy Derivatives: Pricing and Risk Management, by Les Clewlow, Chris Strickland
- Hull-White on Derivatives, by John Hull, Alan White 1899332456
- Exotic Options: The State of the Art, by Les Clewlow (Editor), Chris Strickland (Editor)
- Market Models, by C.O. Alexander
- Pricing, Hedging, and Trading Exotic Options, by Israel Nelken
- Modelling Fixed Income Securities and Interest Rate Options, by Robert A. Jarrow
- Black-Scholes and Beyond, by Neil A. Chriss
- Risk Management and Analysis: Measuring and Modelling Financial Risk, by Carol Alexander
- Mastering Risk: Volume 2 - Applications: Your Single-Source Guide to Becoming a Master of Risk, by Carol Alexander
The reading list is a bit outdated. You should look into updating it while you are fixing the links.@rohitr
you are not supposed to complete the entire list. Just pick any section of interest and go as deep as you need or want.
@Beep Boop
i have fixed a few files. there are other attachments that have gone missing after 11 years so I will fix if i can or remove them.
the obvious ones: more Python, more R, less C++, add Crypto, add Machine Learning, add some AI, less Q world, more P world.@pingu
what your suggestions? Newer versions of the books on the list or entirely new categories?
I dunno the A of programming. I want to start reading the Problem Solving in c++ by Mr Savitch and want to complete the entire list of c++ books.@rohitr
you are not supposed to complete the entire list. Just pick any section of interest and go as deep as you need or want.
@Beep Boop
i have fixed a few files. there are other attachments that have gone missing after 11 years so I will fix if i can or remove them.
Kindly write the names of the books that I should start reading from scratch IN ORDER so that I can get the most out of those books in minimum time about MFE programs.I dunno the A of programming. I want to start reading the Problem Solving in c++ by Mr Savitch and want to complete the entire list of c++ books.
After that I want to complete atleast the "Good books to read before Mfe section".
I want to apply in some college after 2 years. I'm 29 years old. Was working in service based companies until recently.
Plz handpick those books from each section and paste it in sequence so that I can start asap.
I just need a tentative date to complete the 2 sections that I mentioned above.
I want to plan accordingly!
Kindly write the names of the books that I should start reading from scratch IN ORDER so that I can get the most out of those books in minimum time about MFE programs.
Hi,I'd recommend reading through the free guides first, particularly "What do quant do ? A guide by Mark Joshi" and "Paul & Dominic's Guide to Quant Careers" to get a flavor of what you would want to do, then you can draw out a picture of what you want to explore more before purchasing books on those topics. You can preview the first few pages of most of those books on Amazon (usually the Prefaces) to get an idea about the subject matter of a book before buying.
Also, there's this: 'P' Versus 'Q': Differences and Commonalities between the Two Areas of Quantitative Finance (there's a QuantNet thread for it but the link has bitten the dust).
I checked the course. There are 2 courses.The best way to learn C++ is by programming.
The QN C++ course does it all in 16 weeks (and learn good programming habits).
Hi
Hi,
I've already finished the two free guides.
I'm starting the book by Walter savitch(Problem Solving in c++). I've also ordered the book Primer for math by dan stefanica.
In how many months should I aim to finish these two books with 3-4 hours daily??
I've read basic integration and differentiation and also algebra in school?On the basis of covering everything, I wager it'd take about 3 months if you diligently invest 5 hours daily into the Primer, which can vary based on your familiarity with calculus and linear algebra? The book is pretty dense and it seems to assume prior knowledge of those 2 areas.