“…The application of Lie symmetry analysis techniques to stochastic differential equations (SDEs) and stochastic partial differential equations (SPDEs) has received a growing interest in recent years. Without claiming to be exhaustive, from the first studies on Brownianmotion-driven SDEs (see [3,7,24]) and Markov processes (see [8,26,27,36]) many different notions of symmetries for Brownian-motion-driven SDEs has been proposed (see the symmetries with random time change [20,45,47], W-symmetry in [21,22], weak symmetries in [15], random symmetries in [23,25,32] and symmetries of diffusions in [16]). Moreover, random transformations of semimartingales on Lie groups has been introduced (see [1]) and the notion of symmetry has been extended also to SDEs driven by general semimartingales (see [2,35]).…”