Systematic mispricing by the state-of-the-art option pricing models is a paradox in financial economics as both the magnitude and direction of the mispricing is debated. The models have been found to overprice out-of-the-money and deep-in-the-money call options while underpricing in-the-money and deep-out-of-the-money calls. In addition, research has shown these biases have different signs in different time periods. We propose that when investors maximize expected utility for Friedman-Savage-Markowitz utility functions, the option mispricing observed in the market will result.
The theories and empirical tests in the literature of higher-order utility functions and risk-neutral valuation (RNV) in the options market are presented. Though investor attitudes towards risk are irrelevant in the non-arbitrage world of modern option pricing, to the extent the options market does not meet the non-arbitrage conditions, investor risk preferences will affect the pricing of options. Risk-loving traders will bid up market prices relative to risk-neutral model prices; risk-averse traders will bid down prices. And investor risk preferences can, and do, change over time as market conditions change.
New tests are run to analyze the relationship between mispricing biases and investor preferences before and after the historic stock market crash of October 19, 1987. We find mispricing biases which imply a decreased risk aversion on the part of investors in the IBM call option markets for the period prior to the market crash and mispricing biases which imply an increased risk-averse (and decreased risk-loving) behavior in those markets following the crash. Similar analyses are also performed in the Microsoft call options markets with less conclusive results. / Ph. D.
Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/54794 |
Date | January 1989 |
Creators | Taylor, Philip Davis |
Contributors | Economics, Haller, Hans, Orr, Daniel D., Patterson, Douglas M., Sheppard, Stephen, Smith, William |
Publisher | Virginia Polytechnic Institute and State University |
Source Sets | Virginia Tech Theses and Dissertation |
Language | en_US |
Detected Language | English |
Type | Dissertation, Text |
Format | ix, 200 leaves, application/pdf, application/pdf |
Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
Relation | OCLC# 20007855 |
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