Generalized arbitrage conditions for factor pricing models
Title: |
Generalized arbitrage conditions for factor pricing models |
DNr: |
SNIC 2022/22-1244 |
Project Type: |
SNIC Small Compute |
Principal Investigator: |
Iñaki Rodríguez Longarela <inaki.rodriguez@sbs.su.se> |
Affiliation: |
Stockholms universitet |
Duration: |
2022-12-21 – 2024-01-01 |
Classification: |
50202 |
Keywords: |
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Abstract
Most asset pricing theories can be formulated as, or approximated by, a system of
moment conditions that are linear in latent model parameters and subject to linear
parameter restrictions. The dual alternative to these moment conditions and parameter
restrictions is a system of linear restrictions on the systematic risk profile that
ensure that a portfolio of base assets is Unambiguously Undervalued. Portfolio opti-
mization subject to these portfolio restrictions can be used to measure the economic
significance of pricing errors. A Distributionally Robust Optimization approach can
achieve robustness to estimation error in addition to robustness to the pricing model
parameters. An empirical application will analyze the joint cross-section of monthly SPX
options and monthly VIX options since the introduction of the latter type of options in
2006.