“…While vector auto regressive (VAR) models check for size and speed of price adjustment among markets (Rapsomanikis et al, 2004), vector error correction (VECM) models check for long-run relationships mainly through the estimation of cointegration 8 among price series (Maitra, 2019). Both methods are used commonly in literature: Dawson and Dey, 2002, VAR;Ramadas et al, 2004, VAR;Baulch, 2008;Zahid et al, 2007;Trung et al, 2007;Tadesse, 2016;Usman and Haile, 2017;KC and Rajalaxmi, 2019;Ozturk, 2020, all use VECM. According to Rapsomanikis et al (2004), a commonly used method to estimate causality between prices is the Granger causality test. It provides information on which direction, if any, price transmission is occurring between two series.…”