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

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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。