Markets are efficient if and only if P = NP

Author:

Maymin Philip Z.1

Affiliation:

1. NYU-Polytechnic Institute, NY, USA. E-mail: phil@maymin.com

Abstract

I prove that if markets are efficient, meaning current prices fully reflect all information available in past prices, then P = NP, meaning every computational problem whose solution can be verified in polynomial time can also be solved in polynomial time. I also prove the converse by showing how we can “program” the market to solve NP-complete problems. Since P probably does not equal NP, markets are probably not efficient. Specifically, markets become increasingly inefficient as the time series lengthens or becomes more frequent. An illustration by way of partitioning the excess returns to momentum strategies based on data availability confirms this prediction.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,Computer Vision and Pattern Recognition,Finance

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Voting according to one’s political stances is difficult: Problems definition, computational hardness, and approximate solutions;Journal of Computational Science;2024-08

2. Concept of Martingale in random Processes: from Game system to financial Mathematics;Humanities and Social Sciences. Bulletin of the Financial University;2024-07-19

3. Stochastic Methods from the Simplest Transaction Dynamics to the Complex Networks;Springer Texts in Business and Economics;2024

4. The Bielefeld School of economics, Post Keynesian economics, and dynamic complexity;Journal of Economic Behavior & Organization;2023-08

5. Logical Dimension in Modeling;Communications in Computer and Information Science;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3