Showing 1 - 8 of 8
We provide a new method to derive the state price density per unit probability based on option prices and GARCH model. We derive the risk neutral distribution using the result in Breeden and Litzenberger (1978) and the historical density adapting the GARCH model of Barone-Adesi, Engle, and...
Persistent link: https://www.econbiz.de/10003973040
Supported by empirical examples, this paper provides a theoretical analysis on the impacts of using a suboptimal information set for the estimation of the empirical pricing kernel and, more in general, for the validity of the fundamental theorems of asset pricing. While inferring the...
Persistent link: https://www.econbiz.de/10011506352
Market efficiency and the pricing kernel are closely related. A non-monotonic decreasing pricing kernel implies the existence of a trading strategy in contingent claims that stochastically dominates a direct investment in the market. Moreover, a market is assumed to be efficient only if no...
Persistent link: https://www.econbiz.de/10012179592
Recent literature suggests that trading by institutional investors may affect the first and second moments of returns. Elaborating on this intuition, we conjecture that arbitrageurs can propagate liquidity shocks between related markets. The paper provides evidence in this direction by studying...
Persistent link: https://www.econbiz.de/10009554748
We propose a new method for pricing options based on GARCH models with filtered historical innovations. In an incomplete market framework, we allow for different distributions of historical and pricing return dynamics enhancing the model flexibility to fit market option prices. An extensive...
Persistent link: https://www.econbiz.de/10003549728
The article presents a Bayesian nonparametric approach to model the Pricing Kernel (PK), defined as the present value of the ratio between the risk neutral density, q, and a modified physical density, p*. The risk neutral density is estimated from option data and the modified physical density is...
Persistent link: https://www.econbiz.de/10011515905
Regulators charged with monitoring systemic risk need to focus on sentiment as well as narrowly defined measures of systemic risk. This chapter describes techniques for jointly monitoring the co-evolution of sentiment and systemic risk. To measure systemic risk, we use Marginal Expected...
Persistent link: https://www.econbiz.de/10009375111
Over two decades, ETFs have become one of the most popular investment vehicle among retail and professional investors due to their low transaction costs and high liquidity, taking market share from traditional investment vehicles such as mutual funds and index futures. Research has shown that in...
Persistent link: https://www.econbiz.de/10011620013