Stable approximation for call function via Stein’s method

Abstract

Let $S_n$ be a sum of independent identically distribution random variables with finite first moment and $h_M$ be a call function defined by $g_M\left(x\right)=max\{x-M,0\}$ for $x\in R$, $M>0$. In this paper, we assume the random variables are in the domain $R_{\alpha }$ of normal attraction of a stable law of exponent $\alpha$, then for $\alpha \in (1,2)$, we use the Stein’s method developed in Chen et al. (2024) to give uniform and non uniform bounds on $\alpha$-stable approximation for the call function without additional moment assumptions. These results will make the approximation theory of call function applicable to the lower moment conditions, and greatly expand the scope of application of call function in many fields.