Option Market Microstructure and Stochastic Volatility

Douglas Steigerwald and Richard J. Vagnoni

University of California at Santa Barbara, Economics Working Paper Series from Department of Economics, UC Santa Barbara

Abstract: Our primary goal is to develop and analyze a dynamic economic model that takes into account several sources of information-based trade the markets for a stock and options on that stock and that ultimately accounts for salient features of stock price data, including serial correlation in stock trades, serial correlation in squared stock price changes (stochastic volatility), and more persistent serial correlation in stock trades than in squared stock price changes. We derive the dynamic relationships among the stock, the call option, and the put option and capture the leverage effect offered by options. We derive consistency results for the learning process and the convergence of an asset™s quotes to the asset™s true value. We also derive closed-form analytic results for expected calendar period price changes and trades, and we examine calendar period serial correlation properties of squared price changes and trades.

Keywords: Market; Microstructure; Stochastic; Volatility (search for similar items in EconPapers)
Date: 2001-08-28
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/1v2059c2.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:ucsbec:qt1v2059c2

Access Statistics for this paper

More papers in University of California at Santa Barbara, Economics Working Paper Series from Department of Economics, UC Santa Barbara Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().