TY - JOUR
T1 - Statistical arbitrage in jump-diffusion models with compound Poisson processes
AU - Akyildirim, Erdinc
AU - Fabozzi, Frank J.
AU - Goncu, Ahmet
AU - Sensoy, Ahmet
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
PY - 2022/6
Y1 - 2022/6
N2 - We prove the existence of statistical arbitrage opportunities for jump-diffusion models of stock prices when the jump-size distribution is assumed to have finite moments. We show that to obtain statistical arbitrage, the risky asset holding must go to zero in time. Existence of statistical arbitrage is demonstrated via ‘buy-and-hold until barrier’ and ‘short until barrier’ strategies with both single and double barrier. In order to exploit statistical arbitrage opportunities, the investor needs to have a good approximation of the physical probability measure and the drift of the stochastic process for a given asset.
AB - We prove the existence of statistical arbitrage opportunities for jump-diffusion models of stock prices when the jump-size distribution is assumed to have finite moments. We show that to obtain statistical arbitrage, the risky asset holding must go to zero in time. Existence of statistical arbitrage is demonstrated via ‘buy-and-hold until barrier’ and ‘short until barrier’ strategies with both single and double barrier. In order to exploit statistical arbitrage opportunities, the investor needs to have a good approximation of the physical probability measure and the drift of the stochastic process for a given asset.
KW - Compound Poisson process
KW - Jump-diffusion model
KW - Monte Carlo simulation
KW - Statistical arbitrage
UR - http://www.scopus.com/inward/record.url?scp=85101748792&partnerID=8YFLogxK
U2 - 10.1007/s10479-021-03965-w
DO - 10.1007/s10479-021-03965-w
M3 - Article
AN - SCOPUS:85101748792
SN - 0254-5330
VL - 313
SP - 1357
EP - 1371
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 2
ER -