• 学习金融工程的书目


    本文在Creative Commons许可证下发布。

    FRM Handbook, 不深入的话这是一本神书..
    Optimization (Linear Programming, Quadratic Programming, Stochastic Programming etc.):
    Optimization Methods in Finance
    Stochastic Calculus: Stochastic Calculus for Finance II Shreve
    General Knowledge: (Martingale什么的缺了点)
    Investment Science
    --------------------------------------------------------------------------------------------

    FREE QUANT CAREER GUIDES

    • What do quant do ? A guide by Mark Joshi. Download

    CAREER AS A QUANT

    • 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

    • 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

    GENERAL READING ON WALL STREET

    • 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

    PROGRAMMING
    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

    C# (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

    F# (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

    Matlab (ordered by level of difficulty)

    • Matlab: A Practical Introduction to Programming and Problem Solving
    • Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)

    Excel

    • 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

    VBA

    • Advanced modelling in finance using Excel and VBA by Mike Staunton
    • Implementing Models of Financial Derivatives: Object Oriented Applications with VBA

    Python

    • Learning Python: Powerful Object-Oriented Programming
    • Python Cookbook

    FINITE DIFFERENCES

    • 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 Approachby Daniel Duffy

    MONTE CARLO

    • 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 Applicationsby Daniel J. Duffy and Joerg Kienitz
    • Risk Management and Simulation by Aparna Gupta

    STOCHASTIC CALCULUS

    • Stochastic Calculus and Finance by Steven Shreve (errata attached)
    • Stochastic Differential Equations: An Introduction with Applications by Bernt Oksendal

    VOLATILITY

    • Volatility and Correlation, by Riccardo Rebonato
    • Volatility, by Robert Jarrow (Editor)
    • Volatility Trading by Euan Sinclair

    INTEREST RATE

    • Interest Rate Models - Theory and Practice, by D. Brigo, F. Mercurio updates available on-lineProfessional 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

    FX

    • Foreign Exchange Risk, by Jurgen Hakala, Uwe Wystup
    • Mathematical Methods For Foreign Exchange, by Alexander Lipton

    STRUCTURED FINANCE

    • 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)

    STRUCTURED CREDIT

    • 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

    RISK MANAGEMENT/VAR

    • 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

    SAS/S/S-PLUS

    • 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

    HANDS ON

    • Implementing Derivative Models, by Les Clewlow, Chris Strickland
    • The Complete Guide to Option Pricing Formulas, by Espen Gaarder Haug

    NOT ENOUGH YET?

      • 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
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  • 原文地址:https://www.cnblogs.com/evilqliang/p/6164711.html
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