Description
This dissertation consists of three essays studying topics in financial economicsthrough the lens of quantitative models. In particular, I provide three examples of the
effective use of data in the disciplining of financial economics models. In the first essay,
I provide evidence of a significant transitory component of aggregate equity payout.
Leading asset pricing models assume exogenous dividend growth processes which are
inconsistent with this fact. I find that imposing market clearing for consumption
and income in these models induces the relevant behaviors in dividend growth, even
when dividend growth is obtained indirectly. In the second essay, I provide a novel
decomposition of the unconditional equity risk premium. In the data, the majority of
the equity premium is attributable to moderate left tail risks, not those associated
with disaster states. In stark contrast to the data, leading asset pricing models do
not predict that this intermediate left tail region meaningfully contributes to the
equity premium. The shortcomings of the models can be pinned on unreasonably low
prices of risk for tail events relative to the data. In the third essay, I document a
large dispersion in household allocations to risky assets conditional on age. I show
that while standard household portfolio choice models can be made to match the
average risky share over the lifecycle, the models fall short of generating sufficient
heterogeneity in the cross-section of household portfolios.
Download count: 5
Details
Title
- Essays in Financial Economic Modeling
Contributors
- Beason, Tyler (Author)
- Mehra, Rajnish (Thesis advisor)
- Wahal, Sunil (Thesis advisor)
- Pruitt, Seth (Committee member)
- Schreindorfer, David (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2021
Resource Type
Collections this item is in
Note
- Partial requirement for: Ph.D., Arizona State University, 2021
- Field of study: Business Administration