Build a Robo-Advisor with Python (from Scratch): Automate Your Financial and Investment Decisions
Reider, Rob, Michalka, Alex
相關主題
商品描述
- Measure returns and estimate the benefits of robo-advisors
- Use Monte Carlo simulations to build and test financial planning tools
- Construct diversified, efficient portfolios using optimization and other advanced methods
- Implement and evaluate rebalancing methods to track a target portfolio over time
- Decrease taxes through tax-loss harvesting and optimized withdrawal sequencing
- Use reinforcement learning to find the optimal investment path up to, and after, retirement
Every day automated digital advisors, also called robo-advisors, make financial decisions worth millions of dollars. Build a Robo-Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own! You'll develop a flexible tool that's capable of managing a real investing strategy--all with popular free Python libraries. About the technology
Automated "robo-advisors" are commonplace in financial services, thanks to their ability to give high-quality investment advice at a fraction of the cost of human advisors. Your own robo advisor will be a real asset for your financial planning, whether you're saving for retirement, creating a diversified portfolio, or trying to ensure your tax efficiency. About the book
In Build a Robo-Advisor with Python (From Scratch), you'll design and develop a working financial advisor that can manage a real investing strategy. You'll add new features to your advisor chapter-by-chapter, including determining the optimal weight of cryptocurrency in your portfolio, rebalancing to keep your investments on target while minimizing taxes, and using reinforcement learning to find a "glide path" that can maximize how long your money will last in retirement. Best of all, the skills you learn in reinforcement learning, convex optimization, and Monte Carlo methods can be applied to numerous lucrative fields beyond the domain of finance. About the reader
The book is accessible to anyone with a basic knowledge of Python and finance--no special skills required. About the author
Rob Reider has been a quantitative hedge fund portfolio manager for over 15 years. He holds a PhD in Finance from The Wharton School and is an Adjunct Professor at NYU, where he teaches a graduate course in the Math-Finance department called "Time Series Analysis and Statistical Arbitrage." He has built asset allocation models, financial planning tools, and optimal tax strategies for a robo-advisor. Rob has given numerous lectures that combine Python with finance, as well as developing an online course entitled "Time Series Analysis in Python." As a hedge fund manager, Rob has been involved in all aspects of the investment process, from discovering new trading strategies to backtesting, executing, and managing the risk. Alex Michalka has worked in finance and technology since 2006. He began his career developing weather derivative pricing models at Weatherbill, spent six years conducting research on quantitative equity portfolio construction at AQR Capital Management, and currently leads the investments research group at Wealthfront. He holds a BA in applied mathematics from UC Berkeley and a PhD in operations research from Columbia University.
商品描述(中文翻譯)
透過建立自己可靠、有效且自動化的財富管理工具，掌握財富管理的控制權。
在《使用Python建立一個從頭開始的機器人顧問》中，您將學習以下內容：
- 測量回報並估計機器人顧問的好處
- 使用蒙特卡羅模擬建立和測試財務規劃工具
- 使用優化和其他高級方法構建多元化、高效的投資組合
- 實施和評估再平衡方法，以追踪目標投資組合的變化
- 通過稅收損失採收和優化的提款順序減少稅收
- 使用強化學習找到最佳的投資路徑，包括退休前和退休後
每天都有價值數百萬美元的自動化數字顧問，也被稱為機器人顧問，做出財務決策。《使用Python建立一個從頭開始的機器人顧問：自動化您的財務和投資決策》教您如何建立一個基於Python的自己的財務顧問！您將使用流行的免費Python庫開發一個靈活的工具，能夠管理真實的投資策略。
關於技術：
自動化的「機器人顧問」在金融服務中很常見，因為它們能夠以比人類顧問更低的成本提供高質量的投資建議。您自己的機器人顧問將成為您財務規劃的真正資產，無論您是為退休儲蓄、建立多元化投資組合還是確保稅務效益。
關於本書：
在《使用Python建立一個從頭開始的機器人顧問》中，您將設計和開發一個能夠管理真實投資策略的財務顧問。您將逐章為您的顧問添加新功能，包括確定加密貨幣在投資組合中的最佳權重、重新平衡以保持投資目標並最小化稅收，以及使用強化學習找到能夠最大化退休期間資金持久性的「滑行路徑」。最重要的是，您在強化學習、凸優化和蒙特卡羅方法方面所學到的技能可以應用於金融領域以外的許多有利可圖的領域。
關於讀者：
本書適合任何具備基本的Python和金融知識的人士閱讀，無需特殊技能。
關於作者：
Rob Reider是一位從事量化對沖基金投資組合管理工作超過15年的人士。他擁有賓夕法尼亞大學沃頓商學院的金融學博士學位，並擔任紐約大學的兼職教授，教授數學金融系的研究生課程《時間序列分析和統計套利》。他曾為機器人顧問建立資產配置模型、財務規劃工具和最佳稅務策略。Rob曾舉辦過多場結合Python和金融的講座，並開發了一個名為《Python中的時間序列分析》的線上課程。作為一位對沖基金經理，Rob參與了投資過程的各個方面，從發現新的交易策略到回測、執行和風險管理。
Alex Michalka自2006年以來一直在金融和技術領域工作。他在Weatherbill開發天氣衍生品定價模型，並在AQR Capital Management進行了六年的量化股票組合構建研究。目前，他在Wealthfront領導投資研究小組。他擁有加州大學伯克利分校的應用數學學士學位和哥倫比亞大學的運籌學博士學位。
作者簡介
作者簡介(中文翻譯)
Rob Reider已經擔任量化對沖基金投資組合經理超過15年。他擁有賓夕法尼亞大學沃頓商學院的金融學博士學位，並擔任紐約大學的兼職教授，教授數學金融系的研究生課程，名為「時間序列分析和統計套利」。他建立了資產配置模型、財務規劃工具和最佳稅務策略，供機器人顧問使用。Rob曾舉辦過多場結合Python和金融的講座，並開發了一門名為「Python中的時間序列分析」的線上課程。作為對沖基金經理，Rob參與了投資過程的各個方面，從發現新的交易策略到回測、執行和風險管理。
Alex Michalka自2006年以來一直在金融和科技領域工作。他在Weatherbill開發了天氣衍生品定價模型，並在AQR Capital Management進行了六年的量化股票投資組合構建研究，目前在Wealthfront領導投資研究小組。他擁有加州大學伯克利分校的應用數學學士學位和哥倫比亞大學的運籌學博士學位。
