Skip to Content
金融人工智能:用Python实现AI量化交易
book

金融人工智能:用Python实现AI量化交易

by Yves Hilpisch
August 2022
Intermediate to advanced
394 pages
12h 32m
Chinese
Posts & Telecom Press
Content preview from 金融人工智能:用Python实现AI量化交易
规范性金融理论
53
套利定价
如前面的例子所示,套利定价理论[如
资产定价基本定理
FT
AP
)]被认为
是具有最稳健数学结果的最强大的金融理论之一。
4
除其他原因外,这是由于
期权的价格可以从其他可观察的市场参数(比如,期权标的股票的价格)中
得出。从这个意义上说,套利定价并不关心如何先提出一个公允的股价,而
只是把它作为一种输入。因此,套利定价在很少且较宽松的假设(比如
不存
在套利假设
)下就已经能起作用了,这是许多其他金融理论所不能做到的。
注意,甚至无须使用概率测度就可以推导出套利价格。
3.2
 预期效用理论
预期效用理论(
EUT
)是金融理论的基石。自
20
世纪
40
年代提出以来,
EUT
一直是不确
定性决策建模的核心范式之一。
5
基本上每一本关于金融理论和投资理论的入门教科书中都
有对
EUT
的描述。原因之一是,
金融领域的其他核心结果都可以从
EUT
范式中衍生出来。
3.2.1
 假设和结论
EUT
是一种公理化理论,可以追溯到
von Neumann
Morgenstern
1944
)的开创性工作。
这里的
公理化
意味着理论的主要结果只能从少量公理中推导出来。有关公理效用理论、不
同变体和应用的综述,请参阅
Fishburn
1968
)。
1.
公理和规范性理论
W
olfram MathWorld
上,可以找到公理的以下定义:公理是一个不证自明的真理性命题。
当面对不确定性下的选择时,
EUT
通常建立在很少的关于经济主体
偏好
的主要公理之上。
尽管与公理的定义并不完全一致,但并非全部的公理都被所有的经济学家认为是“不证自
明的真理” ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Python机器学习案例精解

Python机器学习案例精解

Posts & Telecom Press, Yuxi (Hayden) Liu
解密金融数据

解密金融数据

Justin Pauley
Python3.0科学计算指南

Python3.0科学计算指南

Posts & Telecom Press, Claus Führer, Jan Erik Solem, Olivier Verdier
scikit-learn机器学习(第2版)

scikit-learn机器学习(第2版)

Posts & Telecom Press, Gavin Hackeling

Publisher Resources

ISBN: 9787115594556