“…Ever since, a number of studies (Su et al, 2017;Brunnermeier, 2008;Wachira, 2013) have attempted to investigate the presence or otherwise of asset bubbles with majority employing linear base models like (Johansen and Juselius, 1992;Johansen, et al, 2000;Johansen and Juselius, 1992) with symmetric adjustment which fails to capture asymmetries property of the data generating process as it has lower power in an asymmetric adjustment process (Escobari et al, 2017); Su et al, 2017;Miao and Zhou, 2015b); these methods also fail to incorporate structural breaks into the model, implying that the power to reject a unit decreases when stationary alternative is true and structural break is ignored. Other methods includes Markovswitching model that fails to distinguish between periods likely to appear spuriously explosive resulting from high variance and periods with genuine explosive behavior (Funke et al, 1994;Phillips, 2011) PSY; (Phillips et al, 2015) (PWY) that have high chances of erroneously interpreting the presence of explosive behaviour for the presence of rational bubbles (Balcilar et al, 2016;Caspi and Graham, 2018;Ye et al, 2011). We extends extant literature by employing (Herzog, 2015) econophysics frequency domain model that allows for stochastic bubbles, not prone to model identification problem to examine the existence of bubbles in the three leading oil market price indexes.…”