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An Analytic Market Condition for Mutual Fund Separation: Demand for the Non-Sharpe Ratio Maximizing Portfolio

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Abstract

This study finds a necessary and sufficient condition for mutual fund separation, in which investors have the same portfolio of risky assets regardless of their utility functions. Unlike previous studies, the market condition is obtained in analytic form, using the Clark–Ocone formula of Ocone and Karatzas (Stoch Stoch Rep 34(3–4):187–220, 1991). We also find that the condition for separation among arbitrary utility functions is equivalent to the condition for separation among utility functions with constant relative risk aversion (CRRA utility functions). The condition is that a conditional expectation of an infinitesimal change in the uncertainty of an instantaneous Sharpe ratio maximizing portfolio can be hedged by the Sharpe ratio maximizer itself. In a Markovian market, such an infinitesimal change is characterized as an infinitesimal change in state variables. A closer look at the Clark–Ocone formula offers an intuition of the condition: an investor invests in (1) the Sharpe ratio maximizer; and (2) another portfolio in such a way as to reduce the uncertainty produced by an infinitesimal change in the Sharpe ratio maximizer, depending on four components: the investor’s wealth level, marginal utility and risk tolerance, at the time of consumption, and the shadow price. This decomposition is also valid in non-Markovian markets.

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Notes

  1. It is defined by

    $$\begin{aligned}&\begin{aligned} Y^{0}_{j,t} = \mathsf {1}_{j=0}&+ \int _{0}^tY^0_{j,s}\Big (\lambda ^\top (X_s)\mathrm {d}B_s + (r(X_s) + \lambda ^\top \lambda (X_s))\mathrm {d}s\Big )\\&+ \sum _{k=1}^n\int _0^t Y^k_{j,s} \frac{1}{H_s}\Big (\frac{\partial }{\partial x_k}{\lambda (X_s)^\top } \mathrm {d}B_s +\frac{\partial }{\partial x_{k}} (r(X_s) + \lambda ^\top \lambda (X_s))\mathrm {d}s\Big ), \end{aligned}\\&\begin{aligned} Y^{i}_{j,t} = \mathsf {1}_{j=i}&+ \sum _{k=1}^n\int _0^t Y^k_{j,s} \Big (\frac{\partial }{\partial x_k}{\Sigma ^{X \top }_j(X_s)} \mathrm {d}B_s +\frac{\partial }{\partial x_{k}} \mu ^X_j(X_s)\mathrm {d}s\Big ) \end{aligned} \end{aligned}$$

    for \(i=1,\dots ,n\) and \(j=0,\dots ,n\).

References

  • Cass, D., & Stiglitz, J. E. (1970). The structure of investor preferences and asset returns, and separability in portfolio allocation: A contribution to the pure theory of mutual funds. Journal of Economic Theory, 2, 122–160.

    Article  Google Scholar 

  • Chamberlain, G. (1988). Asset pricing in multiperiod securities markets. Econometrica, 56(6), 1283–1300.

    Article  Google Scholar 

  • Di Nunno, G., Øksendal, B., & Proske, F. (2009). Malliavin calculus for Lévy processes with applications to finance. Berlin: Springer.

    Book  Google Scholar 

  • Dokuchaev, N. (2014). Mutual fund theorem for continuous time markets with random coefficients. Theory and Decision, 76(2), 179–199.

    Article  Google Scholar 

  • Dybvig, P., & Liu, F. (2018). On investor preferences and mutual fund separation. Journal of Economic Theory, 174, 224–260.

    Article  Google Scholar 

  • Karatzas, I., Lehoczky, J. P., & Shreve, S. E. (1987). Optimal portfolio and consumption decisions for a “small investor” on a finite horizon. SIAM Journal on Control and Optimization, 25(6), 1557–1586.

    Article  Google Scholar 

  • Karatzas, I., & Shreve, S. E. (1991). Brownian motion and stochastic calculus (2nd ed.). Berlin: Springer.

    Google Scholar 

  • Merton, R. C. (1973). An intertemporal capital asset pricing model. Econometrica, 41(5), 867–887.

    Article  Google Scholar 

  • Nielsen, L. T., & Vassalou, M. (2006). The instantaneous capital market line. Economic Theory, 28(3), 651–664.

    Article  Google Scholar 

  • Nualart, D. (2006). The Malliavin calculus and related topics (2nd ed.). Berlin: Springer.

    Google Scholar 

  • Ocone, D. L., & Karatzas, I. (1991). A generalized clark representation formula, with application to optimal portfolios. Stochastics and Stochastics Reports, 34(3–4), 187–220.

    Article  Google Scholar 

  • Schachermayer, W., Sîrbu, M., & Taflin, E. (2009). In which financial markets do mutual fund theorems hold true? Finance and Stochastics, 13(1), 49–77.

    Article  Google Scholar 

  • Skiadas, C. (2009). Asset pricing theory. Princeton: Princeton University Press.

    Book  Google Scholar 

  • Stoyanov, J. M. (2013). Counterexamples in probability (3rd ed.). New York: Dover.

    Google Scholar 

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Acknowledgements

The author thanks Koichiro Takaoka, Toshihiro Yamada, Hisashi Nakamura and Hideyuki Takamizawa for insightful discussions. The author also thanks anonymous referee for constructive comments.

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Correspondence to Toru Igarashi.

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This work is supported by The Fee Assistance Program for Academic Reviewing of Research Papers (for Graduate Students, Hitotsubashi University).

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Igarashi, T. An Analytic Market Condition for Mutual Fund Separation: Demand for the Non-Sharpe Ratio Maximizing Portfolio. Asia-Pac Financ Markets 26, 169–185 (2019). https://doi.org/10.1007/s10690-018-9261-6

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  • DOI: https://doi.org/10.1007/s10690-018-9261-6

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