Optimal rebalancing strategies reduce market variability

IF 3.9 Q1 Mathematics Journal of Finance and Data Science Pub Date : 2025-01-10 DOI:10.1016/j.jfds.2025.100151
Helge Holden , Lars Holden
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Abstract

The increasing fraction of passive funds influences stock market variability since passive investors behave differently than active investors. We demonstrate via simulations how portfolios that rebalance between different classes of assets influence the market variability. We prove that the optimal strategy for such portfolios when we include transaction costs, is only to rebalance when the portfolio leaves a no-trade region in the state space. This is the case also when the expectation and volatility of the prices are inhomogeneous. We show that portfolios that apply an optimal rebalance strategy reduce the variability in the stock market measured in the sum of the distances between local minimum and maximum of the prices in the stock market, also when these portfolios constitute only a small part of the market. However, the more usual rebalance strategies that only consider to rebalance at the end of a month or a quarter, have a much weaker influence on the market variability.
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最优的再平衡策略减少了市场的可变性
被动型基金比例的增加影响了股市的波动性,因为被动型投资者的行为与主动投资者不同。我们通过模拟展示了在不同资产类别之间进行再平衡的投资组合如何影响市场变异性。我们证明了当考虑交易成本时,这种投资组合的最优策略是当投资组合在状态空间中离开非贸易区时才进行再平衡。当价格的预期和波动不均匀时,也会出现这种情况。我们表明,应用最优再平衡策略的投资组合减少了股票市场的变异性,以股票市场价格的局部最小值和最大值之间的距离之和衡量,当这些投资组合仅占市场的一小部分时也是如此。然而,更常见的再平衡策略(只考虑在一个月或一个季度末进行再平衡)对市场波动的影响要弱得多。
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来源期刊
Journal of Finance and Data Science
Journal of Finance and Data Science Mathematics-Statistics and Probability
CiteScore
3.90
自引率
0.00%
发文量
15
审稿时长
30 days
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