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Getting the Same Return With Less Risk: The Power of Factors
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New flows of money into equity index funds have markedly different effects on the prices of assets than are theoretically implied by capital asset pricing modeling (CAPM).
New flows of money into equity index funds have markedly different effects on the prices of assets than are theoretically implied by capital asset pricing modeling (CAPM).
Authors of a Centre for Economic Policy Research study found that new inflows disproportionately raised the prices of large-cap stocks in the S&P 500 index compared to those of small-cap stocks tracked by the index.
The disproportionality marked an overvaluation of high-weighted stocks and an undervaluation of low-weighted stocks in the S&P 500, showcasing an inefficient size factor in the markets.
Based on CAPM, the authors expected to find that new inflows would have a stronger price impact on stocks with higher price volatility, or beta, which are historically small, not large stocks.
The study used the flows of investor dollars into index mutual funds and exchange-traded funds (ETFs) that tracked the S&P 500 to examine the effects of the growth of passive investing by new investors over the last two decades. Almost half of all equity index mutual funds in 2019 tracked the S&P 500. The study found the distortion effect was confined to stocks within the S&P 500.
The disproportionately higher prices of large-cap stocks relative to the prices of small-cap stocks produced returns for portfolios of small-cap stocks that ran counter to those theoretically expected. Flows into index funds raised the concentration of index weights. The new flows into passive investing funds were associated with low returns for a portfolio of small index stocks but predicted a high future return for the same portfolios. This was due to the study finding that a stock’s weight in the S&P 500 is a strong negative predictor of its future return—meaning that future price return moves in the opposite direction of its weighting in the S&P 500.
The authors found that this backed up the idea of an S&P 500 size effect factor to stocks. Stocks in high demand by irrational noise traders were overvalued and accordingly entered weighted indexes with high weightings. Stocks in low demand were undervalued and entered with low weightings. Weighted funds taking in new investments exacerbated this disproportionality.
Source: “Tracking Biased Weights: Asset-Pricing Implications of Value-Weighted Indexing,” by Hao Jiang, Dimitri Vayanos, and Lu Zheng; Centre for Economic Research, December 2020.
Portfolio Strategies
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