Abstract:The present paper examines the performance and diversification properties of active Australian equity fund-of-funds (FoF). Simulation analysis is employed to examine portfolio performance as a function of the number of funds in the portfolio. The present paper finds that as the number of funds in an FoF portfolio increases, performance improves in a mean-variance setting; however, measures of skewness and kurtosis behave less favourably given an investor's preferences for the higher moments of the return distr… Show more
“…For instance, Beedles (1986) and Alles and Spowart (1995) find that Australian stocks exhibit significant skewness. Furthermore, Bird and Gallagher (2002) and Brands and Gallagher (2004) document that Australian mutual funds are characterized by a leptokurtic distribution. In particular, they noticed that portfolio returns of larger funds had more negative skewness and larger kurtosis relative to smaller mutual funds.…”
“…For instance, Beedles (1986) and Alles and Spowart (1995) find that Australian stocks exhibit significant skewness. Furthermore, Bird and Gallagher (2002) and Brands and Gallagher (2004) document that Australian mutual funds are characterized by a leptokurtic distribution. In particular, they noticed that portfolio returns of larger funds had more negative skewness and larger kurtosis relative to smaller mutual funds.…”
“…19 Empirical analysis show that higher benefits are obtained by portfolios that invest in ten or twenty funds in function of the correlation between single portfolios 20 but there is evidence that demonstrate that, in particular markets, the number of funds is significantly lower. 21 The reduction of benefits related to the diversification could be explained analyzing the inefficiencies of multi-funds portfolios: a higher segmentation of wealth on different funds' managers increases the probability of duplication of holdings and it's also probable that strategies adopted by different funds' managers are not tuned. 22 The number of funds to include in a hypothetical portfolio depends on the risk profile of a typical subscriber, on the sectorial and geographical specialization and on the covariance between different sectors and geographical areas.…”
Section: Types Of Diversification Strategies and Portfolio's Heterogementioning
confidence: 99%
“…27 Empirical studies demonstrates that managers who adopt the same investment style achieve results that are highly correlated and so a funds' selection based on the investment style could be useful to construct a well diversified portfolio. 28 The assumption of time persistence of results achieved by funds' manager makes rationale to consider the past performance in selecting funds. 29 FoFs' managers that adopt this approach analyze performances achieved in last years and the risk related to the portfolio managed and they try to identify best active managers.…”
Funds of Funds (FoF) are particular investment funds that invest resources in some mutual funds. This type of funds offers the possibility to achieve an higher diversification that an investor can't realize using other instruments.One of the main differences among FoFs available is the strategy adopted by the manager to select the investment funds to include in the portfolio and the number of funds included in the portfolio. The funds' selection could be naïf or based on some aspect related to the funds' history as the past performance achieved, the fund's investment style or the manager's reputation.This paper analyses FoF's Italian market and verifies whether the performance is influenced by either the diversification strategy or the number of funds included in the portfolio. The analysis demonstrates that FoFs' best performers are those which are less geographically or sectorially concentrated; there are significant differences following different criteria/constraints applied in the funds' selection.
“…Indeed, Lhabitant and Learned () and Brands and Gallagher () show that significant reductions in manager‐specific risk can be achieved with five to ten different fund managers. Beyond this, adding more underlying funds may be detrimental to the skewness and kurtosis of portfolio returns (Brands and Gallagher, ) and may decrease potential alpha (Gallagher and Gardner, ). However, there has been little work on the level of trading redundancy that multimanager frameworks exhibit.…”
Emulation funds are a potentially cost-effective way for multimanager funds to improve their investment performance by delaying and netting trade signals from underlying managers. We develop a model to represent the expected sources of differential performance in an emulation fund relative to its underlying multimanager portfolio. The model formalises the expected interaction between potential savings and opportunity costs and allows us to observe complexities in the emulation process that are hidden without a benchmark. Finally, the functional representation of the model allows sensitivity analysis of the emulation fund to key parameters and enables us to determine theoretically optimal lag periods.
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