The Science of Algorithmic Trading and Portfolio Management 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Robert Kissell 作者

Academic Press

译者

2013-10-28 出版日期

496 页数

USD 69.95 价格

Hardcover

丛书系列

9780124016897 图书编码

The Science of Algorithmic Trading and Portfolio Management 在线电子书图书标签: 量化投资算法交易金融量化策略金融工程投资交易

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The Science of Algorithmic Trading and Portfolio Management 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

The Science of Algorithmic Trading and Portfolio Management 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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是作者的博士论文改写的。推荐作为入门教程。

评分☆☆☆☆☆

是作者的博士论文改写的。推荐作为入门教程。

评分☆☆☆☆☆

是作者的博士论文改写的。推荐作为入门教程。

评分☆☆☆☆☆

是作者的博士论文改写的。推荐作为入门教程。

评分☆☆☆☆☆

是作者的博士论文改写的。推荐作为入门教程。

The Science of Algorithmic Trading and Portfolio Management 在线电子书著者简介

The Science of Algorithmic Trading and Portfolio Management 在线电子书图书目录

The Science of Algorithmic Trading and Portfolio Management 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The Science of Algorithmic Trading and Portfolio Management 在线电子书图书描述

The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. It prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. It helps readers design systems to manage algorithmic risk and dark pool uncertainty. It summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.

The Science of Algorithmic Trading and Portfolio Management 在线电子书下载 mobi epub pdf txt 在线电子书下载

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