KYLE–BACK’S MODEL WITH A RANDOM HORIZON

Author:

CORCUERA JOSÉ MANUEL1,DI NUNNO GIULIA2

Affiliation:

1. Department of Mathematics and Computer Science, University of Barcelona, Gran Via de les Corts Catalanes 585, Barcelona 08007, Spain

2. Department of Mathematics, University of Oslo, P.O. Box 1053 Blindern, Oslo 0316, Norway

Abstract

The continuous-time version of Kyle [(1985) Continuous auctions and insider trading, Econometrica 53 (6), 1315–1335.] developed by Back [(1992) Insider trading in continuous time, The Review of Financial Studies 5 (3), 387–409.] is studied here. In Back’s model, there is asymmetric information in the market in the sense that there is an insider having information on the real value of the asset. We extend this model by assuming that the fundamental value evolves with time and that it is announced at a future random time. First, we consider the case when the release time of information is predictable to the insider and then when it is not. The goal of the paper is to study the structure of equilibrium, which is described by the optimal insider strategy and the competitive market prices given by the market makers. We provide necessary and sufficient conditions for the optimal insider strategy under general dynamics for the asset demands. Moreover, we study the behavior of the price pressure and the market efficiency. In particular, we find that when the random time is not predictable, there can be equilibrium without market efficiency. Furthermore, for the two cases of release time and for classes of pricing rules, we provide a characterization of the equilibrium.

Publisher

World Scientific Pub Co Pte Lt

Subject

General Economics, Econometrics and Finance,Finance

Cited by 3 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. Filtration enlargement‐based time series forecast in view of insider trading;Journal of Economic Surveys;2022-04-04

2. Kyle equilibrium under random price pressure;Decisions in Economics and Finance;2019-02-01

3. Kyle Equilibrium Under Random Price Pressure;SSRN Electronic Journal;2018

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