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Paul Wilmott on Quantitative Finance Vol 1-3, 2nd Ed

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Business & Economics - Professional Finance
Paul Wilmott on Quantitative Finance...

Paul Wilmott on Quantitative Finance Vol 1-3, 2nd Ed

Paul Wilmott

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カテゴリー:

Business & Economics - Professional Finance

ISBN 10:

0470319585

ISBN 13:

9780470319581

ファイル:

PDF, 6.54 MB

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Paul Wilmott, etc., Jeff Dewynne, Sam Howison — Option Pricing: Mathematical Models and Computation

Paul Wilmott — 保罗·维尔默特论数量金融

John C. Hull — Risk Management and Financial Institutions

Stefan Jansen — Machine Learning for Algorithmic Trading

Stefanica Dan. — A Primer for the Mathematics of Financial Engineering and Soulutions Manual, 1ed, PDF

Andersen L.B.G., Piterbarg V.V. — Interest Rate Modeling (Volumes 1, 2, 3)

Wilmott, Paul — Paul Wilmott on Quantitative Finance. / Volume 1

Wilmott P. (Ed) — Introduces Quantative Finance

Steven Shreve — Stochastic Calculus for Finance I The Binomial Asset Pricing Model

Basu, Sankarshan; Hull, John — Options, futures, and other derivatives

John C. Hull — Options, Futures, and Other Derivatives with Derivagem CD (7th Edition)

Steven E. Shreve — Stochastic Calculus for Finance I The Binomial Asset Pricing Model

Steven E. Shreve — Stochastic calculus for finance II Continuous time models

Espen Gaarder Haug — Derivatives Models on Models

Andreas Kyprianou, Wim Schoutens, Paul Wilmott — Exotic Option Pricing and Advanced Lévy Models

Paul Wilmott — The best of Wilmott 2

Paul Wilmott — Paul Wilmott on Quantitive Finance, Second Edition

Paul Wilmott — The Best of Wilmott 1: Incorporating the Quantitative Finance Review

Paul Wilmott — Frequently Asked Questions in Quantitative Finance

Paul Wilmott — Paul Wilmott Introduces Quantitative Finance

Peter Jaeckel — Monte Carlo Methods in Finance

Paul Wilmott — Derivatives: The Theory and Practice of Financial Engineering

Paul Wilmott, Sam Howison, Jeff Dewynne — The mathematics of financial derivatives: a student introduction

Paul Wilmott, Sam Howison, Jeff Dewynne — The Mathematics of Financial Derivatives: A Student Introduction

Mark S. Joshi — The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk)

Rene M. Stulz — Risk Management and Derivatives

Paul Wilmott, Jeff Dewynne, Sam Howison — Option Pricing: Mathematical Models and Computation

Leif B.G. Andersen, Vladimir V. Piterbarg — Interest Rate Modeling. Volume 3: Products and Risk Management

Mark Suresh Joshi — More mathematical finance

Andreas F. Clenow — Trading Evolved: Anyone Can Build Killer Trading Strategies in Python

Yves J. Hilpisch — Reinforcement Learning for Finance (Early Release)

Chan, Ernie — Algorithmic Trading: Winning Strategies and Their Rationale

Jon Gregory — The xVA Challenge : Counterparty Risk, Funding, Collateral, Capital and Initial Margin

John C. Hull — Options, Futures, and Other Derivatives - Solutions Manual

Xinfeng Zhou — A Practical Guide To Quantitative Finance Interviews

Xinfeng Zhou — A Practical Guide To Quantitative Finance Interviews

Yves Hilpisch — Python for Finance.

Yves Hilpisch — Artificial Intelligence in Finance: A Python-Based Guide

David Ruppert, David S. Matteson — Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics)

Sheldon Natenberg — Option Volatility & Pricing: Advanced Trading Strategies and Techniques

Paul Wilmott — Machine Learning: An Applied Mathematics Introduction

[英] 保罗·威尔莫特 — 数量金融 (第2卷·原书第2版)

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