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Contribution Details
| Type | Master's Thesis |
| Scope | Discipline-based scholarship |
| Title | Non-Parametric Estimation of State Price Densities |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Number of Pages | 46 |
| Date | 2017 |
| Abstract Text | This thesis contributes to our understanding of arbitrage-free asset pricing in incomplete markets. In particular, I present a new methodological approach to the empirical estimation of state price densities. I point out that the empirical literature has neglected incompleteness by proposing methods that are aimed to provide unique estimates of state price densities. I propose to characterize arbitrage-free prices through a system of linear inequalities. Under incompleteness, the absence of arbitrage will imply the existence of a multitude of sets of arbitrage-free prices. I will determine boundaries for the arbitrage-free option prices and the distribution of state prices and I will also propose how a unique state price density could be optimally estimated. In a last section I will address the recovery of the pricing kernel and I will show in particular how the hypothesis of a monotonically decreasing pricing kernel should be tested in the presence of market incompleteness. In particular, I do not find supporting evidence for the so-called pricing kernel puzzle. |
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