Ge, S., Li, S. and Linton, O.
A Dynamic Network of Arbitrage Characteristics
CWPE2060
Abstract: We propose an asset pricing factor model constructed with semi-parametric characteristics-based mispricing and factor loading functions. We approximate the unknown functions by B-splines sieve where the number of B-splines coefficients is diverging. We estimate this model and test the existence of the mispricing function by a power enhanced hypothesis test. The enhanced test solves the low power problem caused by diverging B-spline coefficients, with the strengthened power approaches to one asymptotically. We also investigate the structure of mispricing components through Hierarchical K-means Clusterings. We apply our methodology to CRSP (Center for Research in Security Prices) and FRED (Federal Reserve Economic Data) data for the US stock market with one-year rolling windows during 1967-2017. This empirical study shows the presence of mispricing functions in certain time blocks. We also find that distinct clusters of the same characteristics lead to similar arbitrage returns, forming a "peer group" of arbitrage characteristics.
Keywords: Semiparametric, Characteristics-based, Network, Power-enhanced test
JEL Codes: C14 G11 G12
Author links: Oliver Linton
PDF: https://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe2060.pdf 
Open Access Link: https://doi.org/10.17863/CAM.61819
