TY - JOUR T1 - The Quant Cycle JF - The Journal of Portfolio Management DO - 10.3905/jpm.2021.1.304 SP - jpm.2021.1.304 AU - David Blitz Y1 - 2021/11/01 UR - https://pm-research.com/content/early/2021/11/01/jpm.2021.1.304.abstract N2 - Traditional business cycle indicators do not capture much of the large cyclical variation in factor returns. Major turning points of factors seem to be caused by abrupt changes in investor sentiment instead. The author infers a quant cycle directly from factor returns, which consists of a normal stage that is interrupted by occasional drawdowns of the value factor and subsequent reversals. Value factor drawdowns can occur in bullish environments due to growth rallies and in bearish environments due to crashes of value stocks. For the reversals, the author also distinguishes between bullish and bearish subvariants. Empirically, he shows that his simple three-stage model captures a considerable amount of time variation in factor returns. The author concludes that investors should focus on better understanding the quant cycle as implied by factors themselves, rather than adhering to traditional frameworks that, at best, have a weak relation with actual factor returns.Key Findings▪ Major turning points in factor returns are not explained by traditional business cycle indicators but seem to be driven by abrupt changes in investor sentiment.▪ We infer a simple three-stage quant cycle model directly from factor returns and show that it captures a considerable amount of time variation in factor returns.▪ Key stages in the model are value factor drawdowns, either due to rallies of growth stocks or crashes of value stocks, and subsequent reversals. ER -