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.
具体描述
读后感
评分
评分
评分
评分
用户评价
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。
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有