“…Following the early studies of Latane and Rendleman (1976) and Chiras and Manaster (1978) on the superior predictive power of option-implied standard deviations for future volatility forecasting, Day and Lewis (1992) and Lamoureux and Lastrapes (1993) questioned their overperformance compared to historical time series models, elucidating that implied volatilities are biased and inefficient predictors with poor contribution in volatility forecasting accuracy partly due to misspecification errors. In marked contrast, the vast majority of the subsequent studies (see, for example, Blair et al, 2001;Busch et al, 2011;Christensen & Prabhala, 1998;Frijns et al, 2010;Kambouroudis et al, 2016;Martens & Zein, 2004;Oikonomou et al, 2019) alongside the improvement in implied volatility extraction techniques from option prices (Carr & Wu, 2006;Fleming, 1998;Jiang & Tian, 2005) confirm that the variability implicit in options, interpreted as an ex-ante volatility market forecast, is a substantially better predictor with incremental information value for future volatility beyond that captured by squared returns or realized variance.…”