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Diversification Return, Portfolio Rebalancing, and the Commodity Return Puzzle (1109.1256v1)

Published 6 Sep 2011 in q-fin.PM

Abstract: Diversification return is an incremental return earned by a rebalanced portfolio of assets. The diversification return of a rebalanced portfolio is often incorrectly ascribed to a reduction in variance. We argue that the underlying source of the diversification return is the rebalancing, which forces the investor to sell assets that have appreciated in relative value and buy assets that have declined in relative value, as measured by their weights in the portfolio. In contrast, the incremental return of a buy-and-hold portfolio is driven by the fact that the assets that perform the best become a greater fraction of the portfolio. We use these results to resolve two puzzles associated with the Gorton and Rouwenhorst index of commodity futures, and thereby obtain a clear understanding of the source of the return of that index. Diversification return can be a significant source of return for any rebalanced portfolio of volatile assets.

Citations (133)

Summary

Diversification Return and Portfolio Rebalancing: An Analytical Insight

The paper by Scott Willenbrock explores the concept of diversification return and its foundational relation with portfolio rebalancing in the context of financial asset management. It builds upon the seminal work by Booth and Fama (1992), which introduced diversification return as an incremental gain in a rebalanced portfolio. Willenbrock provides an analytical framework to precisely define diversification return and elucidates the fundamental source of these returns.

Key Insights and Findings

The central argument of the paper is that diversification return is closely tied with portfolio rebalancing rather than merely reduction in variance. The act of rebalancing entails selling assets that have appreciated and buying those that have depreciated, thereby capturing price fluctuations for enhanced returns. This contrarian approach, inherent in rebalancing, is shown to be the true driver of diversification returns.

Willenbrock challenges the notion posited by Gorton and Rouwenhorst (2006b) that diversification returns stem solely from variance reduction. He asserts that while variance reduction is a necessary condition, it alone is insufficient for generating diversification returns in a rebalanced portfolio. By presenting mathematical derivations and example scenarios, the paper provides clarity on how diversification returns differ from those in a buy-and-hold strategy, which does not involve rebalancing.

Numerical Results

The paper presents numerical examples to substantiate the theoretical claims. For instance, a simple rebalanced portfolio comprising two assets with alternating returns yields a diversification return of 2.5% due to rebalancing. In contrast, a buy-and-hold equivalent reflects no such incremental return. Additionally, the paper compares strategic returns with diversification returns calculated for a portfolio including S&P 500 and Barclays US Long Treasury Index, highlighting that diversification returns can account for up to 25% of the rebalanced portfolio return.

Implications and Speculation on Future Developments

The implications of these findings are significant for investment strategies and asset management. Diversification return offers an opportunity for enhanced portfolio performance while maintaining risk profiles, making rebalancing an attractive strategy. The insights provided can inform the design of robust asset allocation models and drive further innovation in investment portfolios.

For future exploration, understanding diversification return in the context of algorithmic trading and AI-driven portfolio management could yield new dimensions to automated financial strategies. As technology can continuously optimize asset weights, it may enhance the potential to capture diversification returns dynamically in response to market conditions.

Conclusion

The paper offers a comprehensive analysis of diversification return, distinguishing it from variance reduction and buy-and-hold incremental gains. By elucidating the rebalancing mechanism as the linchpin of diversification returns, it bridges theoretical concepts with practical investment strategies. These findings not only resolve aspects of the commodity return puzzle but also provide foundational knowledge that can be leveraged in future advancements in artificial intelligence and financial modeling.

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