Ambiguous Volatility and Asset Pricing in Continuous Time
نویسندگان
چکیده
This paper formulates a model of utility for a continuous time framework that captures the decision-makers concern with ambiguity about both volatility and drift. Corresponding extensions of some basic results in asset pricing theory are presented. First, we derive arbitrage-free pricing rules based on hedging arguments. Ambiguous volatility implies market incompleteness that rules out perfect hedging. Consequently, hedging arguments determine prices only up to intervals. However, sharper predictions can be obtained by assuming preference maximization and equilibrium. Thus we apply the model of utility to a representative agent endowment economy to study equilibrium asset returns. A version of the C-CAPM is derived and the e¤ects of ambiguous volatility are described. Key words: ambiguity, option pricing, recursive utility, G-Brownian motion, robust stochastic volatility, sentiment, overcon dence, optimism Department of Economics, Boston University, [email protected] and School of Mathematics, Shandong University, [email protected]. We gratefully acknowledge the nancial support of the National Science Foundation (awards SES-0917740 and 1216339), the National Basic Research Program of China (Program 973, award 2007CB814901) and the National Natural Science Foundation of China (award 10871118). We have bene ted also from very helpful comments by Pietro Veronesi and two referees, and from discussions with Shige Peng, Zengjing Chen, Mingshang Hu, Gur Huberman, Julien Hugonnier, Hiro Kaido, Jin Ma, Semyon Malamud, Guihai Zhao and especially Jianfeng Zhang. Epstein is grateful also for the generous hospitality of EIEF and CIRANO where much of this work was completed during extended visits. The contents of this paper appeared originally under the title Ambiguous volatility, possibility and utility in continuous time, rst posted March 5, 2011. That paper now focuses on a mathematically rigorous treatment of the model of utility and excludes the application to asset pricing.
منابع مشابه
Modeling Gold Volatility: Realized GARCH Approach
F orecasting the volatility of a financial asset has wide implications in finance. Conditional variance extracted from the GARCH framework could be a suitable proxy of financial asset volatility. Option pricing, portfolio optimization, and risk management are examples of implications of conditional variance forecasting. One of the most recent methods of volatility forecasting is Real...
متن کاملPreference-Free Option Pricing with Path-Dependent Volatility: A Closed-Form Approach
This paper shows how one can obtain a continuous-time preference-free option pricing model with a path-dependent volatility as the limit of a discrete-time GARCH model. In particular, the continuous-time model is the limit of a discrete-time GARCH model of Heston and Nandi (1997) that allows asymmetry between returns and volatility. For the continuous-time model, one can directly compute closed...
متن کاملStochastic Dominance and Option Pricing in Discrete and Continuous Time: an Alternative Paradigm
This paper examines option pricing in a universe in which it is assumed that markets are incomplete. It derives multiperiod discrete time option bounds based on stochastic dominance considerations for a risk-averse investor holding only the underlying asset, the riskless asset and (possibly) the option for any type of underlying asset distribution, discrete or continuous. It then considers the ...
متن کاملStochastic Volatility
The volatility of a nancial asset is the variance per unit time of the logarithm of the price of the asset. Volatility has a key role to play in the determination of risk and in the valuation of options and other derivative securities. The widespread Black-Scholes model for asset prices assumes constant volatility. The purpose of this chapter is to review the evidence for non-constant volatilit...
متن کاملLong Memory in Continuous-time Stochastic Volatility Models
This paper studies a classical extension of the Black and Scholes model for option pricing, often known as the Hull and White model. Our specification is that the volatility process is assumed not only to be stochastic, but also to have long-memory features and properties. We study here the implications of this continuous-time long-memory model, both for the volatility process itself as well as...
متن کامل