Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (Hardcover)
暫譯: 使用 Python 進行衍生品分析:數據分析、模型、模擬、校準與對沖 (精裝版)
Yves Hilpisch
- 出版商: Wiley
- 出版日期: 2015-08-03
- 售價: $3,810
- 貴賓價: 9.5 折 $3,620
- 語言: 英文
- 頁數: 374
- 裝訂: Hardcover
- ISBN: 1119037999
- ISBN-13: 9781119037996
-
相關分類:
Python
-
相關翻譯:
Python 金融衍生品大數據分析:建模、模擬、校準與對沖 (Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging) (簡中版)
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
C 語言程式設計 + C 語言程式技巧問答實戰 (Kernighan: The C Programming Language, 2/e) (雙書合購)$980$980 -
深入淺出設計模式 (Head First Design Patterns)$880$695 -
JavaScript-優良部份 (JavaScript: The Good Parts)$420$332 -
ov7670 相機模組$400$380 -
ASP.NET 學習教材-使用 C#$650$514 -
Threat Modeling: Designing for Security (Paperback)$1,767$1,674 -
超圖解 Arduino 互動設計入門, 2/e$680$578 -
ASP.NET MVC 5 網站開發美學$780$616 -
Raspberry Pi 最佳入門與實戰應用-深入 Raspberry Pi 的全方位指南(附87段教學與執行影片/範例程式檔)$450$356 -
門市服務丙級技能檢定 (二) -- 櫃檯作業&清潔作業 (瑋博pos系統)$250$198 -
Python 程式設計入門 (適用於 2.x 與 3.x 版)$620$484 -
$1,750Machine Learning: A Bayesian and Optimization Perspective (Hardcover) -
當猛虎遇上Android | 一手掌握Android App程式開發與設計$880$695 -
人人都是網站分析師|看穿網站流量的祕密$380$300 -
Microsoft Azure 教戰手札 – 系統建置與管理篇, 3/e$550$435 -
接案我最行:jQuery 經典範例必殺技$480$408 -
完整學會 Git, GitHub, Git Server 的24堂課$360$284 -
Swift 從入門到超人氣遊戲 App 開發全面修鍊實戰 (附近 100 段影音教學、Swift 2.0 / 1.2 / 1.1 範例檔)$480$379 -
比開發者更高境界:頂尖 Google 手機工程師教你分析 Android 5.0 原始程式碼$860$731 -
Grove - LCD RGB Backlight 炫彩背光模組$500$500 -
iOS 9 App 程式設計實力超進化實戰攻略:知名iOS教學部落格AppCoda作家親授實作關鍵技巧讓你不NG (Beginning iOS 9 Programming with Swift)$690$538 -
ASP.NET 專題實務 II--範例應用與進階功能$820$648 -
JavaScript 資料結構及演算法實作 (Learning JavaScript Data Structures and Algorithms)$320$250 -
iOS 10 App 程式設計實力超進化實戰攻略 : 知名 iOS教學部落格 AppCoda 作家親授實作關鍵技巧讓你不NG$720$562 -
Git 團隊使用手冊 (Git for Teams: A User-Centered Approach to Creating Efficient Workflows in Git)$580$458
相關主題
商品描述
Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Notebooks for immediate execution and automation. Python is gaining ground in the derivatives analytics space, allowing institutions to quickly and efficiently deliver portfolio, trading, and risk management results. This book is the finance professional's guide to exploiting Python's capabilities for efficient and performing derivatives analytics. * Reproduce major stylized facts of equity and options markets yourself * Apply Fourier transform techniques and advanced Monte Carlo pricing * Calibrate advanced option pricing models to market data * Integrate advanced models and numeric methods to dynamically hedge options Recent developments in the Python ecosystem enable analysts to implement analytics tasks as performing as with C or C++, but using only about one-tenth of the code or even less. Derivatives Analytics with Python Data Analysis, Models, Simulation, Calibration and Hedging shows you what you need to know to supercharge your derivatives and risk analytics efforts.
商品描述(中文翻譯)
使用 Python 的衍生品分析提升選擇權分析和對沖的能力《使用 Python 的衍生品分析》向您展示如何利用先進的金融模型、高效的數值技術以及 Python 程式語言的強大功能,實現市場一致的估值和對沖方法。這本獨特的指南詳細解釋了所有理論、方法和過程,為您提供了從堅實基礎出發評估股票指數選擇權所需的背景和工具。您將找到並使用獨立的 Python 腳本和模組,並學習如何將 Python 應用於高級數據和衍生品分析,從中受益於提供的 5,000 多行代碼,幫助您重現所呈現的結果和圖形。內容涵蓋市場數據分析、風險中性估值、蒙地卡羅模擬、模型校準、估值和動態對沖,模型展示隨機波動性、跳躍成分、隨機短期利率等特徵。伴隨網站提供所有代碼和 IPython Notebooks,便於立即執行和自動化。Python 在衍生品分析領域逐漸受到重視,使機構能夠快速高效地提供投資組合、交易和風險管理結果。本書是金融專業人士利用 Python 能力進行高效和高性能衍生品分析的指南。* 自行重現股票和選擇權市場的主要風格化事實 * 應用傅立葉變換技術和高級蒙地卡羅定價 * 將高級選擇權定價模型校準至市場數據 * 整合高級模型和數值方法以動態對沖選擇權 最近 Python 生態系統的發展使分析師能夠實現與 C 或 C++ 相媲美的分析任務,但所需的代碼量僅約為十分之一或更少。《使用 Python 的衍生品分析:數據分析、模型、模擬、校準和對沖》向您展示了提升衍生品和風險分析工作的所需知識。
