The Book of Alternative Data: A Guide for Investors, Traders and Risk Managers
暫譯: 替代數據手冊:投資者、交易員與風險管理者指南

Denev, Alexander, Amen, Saeed

  • 出版商: Wiley
  • 出版日期: 2020-07-21
  • 售價: $1,830
  • 貴賓價: 9.5$1,739
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119601797
  • ISBN-13: 9781119601791
  • 相關分類: Fintech
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management

Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject.

This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors--leading experts in financial modeling, machine learning, and quantitative research and analytics--employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book:

  • Provides an integrated modeling approach to extract value from multiple types of datasets
  • Treats the processes needed to make alternative data signals operational
  • Helps investors and risk managers rethink how they engage with alternative datasets
  • Features practical use case studies in many different financial markets and real-world techniques
  • Describes how to avoid potential pitfalls and missteps in starting the alternative data journey
  • Explains how to integrate information from different datasets to maximize informational value

The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

商品描述(中文翻譯)

第一本也是唯一一本系統性探討在投資和風險管理背景下利用非傳統資訊來源的方法論和流程的書籍

利用非傳統數據來源來產生超額收益、分析市場和預測風險是金融專業人士極為關注的主題。越來越多的定期舉辦的替代數據會議正在成立,並伴隨著該主題的新論文激增。替代數據正逐漸被全球金融界的傳統機構投資者和風險管理者所納入。當前文獻中尚未對分析和提取替代數據價值的方法論、如何獲取數據以及如何將數據流整合到現有系統中進行探討。填補這一重要知識空白的替代數據之書是第一本也是唯一一本提供該主題連貫且系統性處理的書籍。

這本開創性的著作為讀者提供了一條導航複雜替代數據來源的路線圖,並提供了適當的技術來分析這些數據。作者們是金融建模、機器學習和定量研究與分析的領先專家,採用逐步的方法引導讀者穿越生成數據的密林。這本創新的書籍是對替代數據類型、來源和方法論的首創性處理,具體包括:

  • 提供一種綜合建模方法,以從多種類型的數據集提取價值

  • 處理使替代數據信號可操作所需的流程

  • 幫助投資者和風險管理者重新思考如何與替代數據集互動

  • 展示在許多不同金融市場中的實用案例研究和現實世界技術

  • 描述如何避免在開始替代數據旅程中的潛在陷阱和失誤

  • 解釋如何整合來自不同數據集的信息以最大化信息價值
  • 替代數據之書是任何希望分析或貨幣化不同非傳統數據集的人的不可或缺的資源,包括首席投資官、首席風險官、風險專業人士、投資專業人士、交易員、經濟學家以及機器學習開發者和使用者。

    作者簡介

    ALEXANDER DENEV is Head of AI, Financial Services - Risk Advisory at Deloitte LLP. Prior to that he led Quantitative Research & Advanced Analytics at IHS Markit. Previously, he held roles at the Royal Bank of Scotland, Societe Generale, and European Investment Bank. Denev is a visiting lecturer at the University of Oxford where he graduated with a degree in Mathematical Finance. He is author of numerous papers and books on novel methods of financial modeling with applications ranging from stress testing to asset allocation.

    SAEED AMEN is the founder of Cuemacro, where he consults on systematic trading. For 15 years, he has developed systematic trading strategies and quantitative indices including at major investment banks, Lehman Brothers and Nomura. He is also a visiting lecturer at Queen Mary University of London and a co-founder of the Thalesians, a quant think tank.

    作者簡介(中文翻譯)

    ALEXANDER DENEV 是德勤(Deloitte LLP)金融服務風險諮詢部的人工智慧負責人。在此之前,他曾在IHS Markit領導量化研究與高級分析部門。之前,他在蘇格蘭皇家銀行(Royal Bank of Scotland)、法國興業銀行(Societe Generale)和歐洲投資銀行(European Investment Bank)擔任職務。Denev是牛津大學的客座講師,並以數學金融學位畢業。他是多篇論文和書籍的作者,專注於金融建模的新方法,應用範圍從壓力測試到資產配置。

    SAEED AMEN 是Cuemacro的創始人,專注於系統性交易的諮詢工作。在過去15年中,他在主要投資銀行如雷曼兄弟(Lehman Brothers)和野村證券(Nomura)開發了系統性交易策略和量化指數。他也是倫敦女王瑪麗大學的客座講師,以及量化智庫Thalesians的共同創始人。