Jump regression revisited

Regression analysis for stochastic processes has been an important topic over the last decades. Typically, regressing a dependent process $Y$ on an explanatory $Z$ results in an integral relationship of the form $dY_t = β_t dZ_t + dX_t$ with some residual process $X$, and often with constant or piec