Efficient frontier models, explains money manager Edgar
Weissenberger, assume that price data used for input is continuously observable,
prices are fair and relate to homogeneous widgets, and transaction costs are
low. Art data is poorly suited for such models because the inefficient art
market has very low liquidity, little price transparency and steep transaction
costs. Worse yet, art data is heterogeneous (i.e., no two widgets are alike) and
occurs in seasonal data bursts, corresponding to the important spring and fall
auction seasons each year. These attributes would seemingly provide little
comfort to analysts scrutinizing the methodology used by Fernwood (or any other
espouser of efficient frontier analysis for art investment) to make portfolio
diversification recommendations.When the tech bubble burst in 2000, causing Nasdaq to plummet
and drag other indices into the vortex, few investors enjoyed immunity. | The other development in the investment industry that may have
worked against broad acceptance of Fernwood’s offerings is the continuing shift
among many portfolio managers away from relative return strategies and toward
absolute return methods. Absolute return strategies were the hallmark of
portfolio managers during the 1960s. The objective of an absolute return
strategy is to generate a positive financial return for assets under management,
regardless of broad market movements. Absolute return managers have wide
discretion of when to buy or sell in any market of choice, a technique that most
hedge fund managers today find effective.As indices and portfolio management science gained popularity
in the 1970s and early 1980s, institutional portfolio managers increasingly
favored relative return strategies, attempting to show portfolio management
prowess relative to popular indices in each asset class. These strategies stress
quantitative theory and computer-driven statistical tools, such as the capital
asset pricing model and related efficient frontier analysis, for the investment
process. Several factors in the capital markets around the turn of the
millennium caused asset managers to reevaluate the effectiveness of relative
portfolio management strategies. When the tech bubble burst in 2000, causing
Nasdaq to plummet 50 percent and drag other indices into the vortex, few
investors enjoyed immunity. Nor were they amused by merely losing 40 percent,
albeit performing positively relative to the market indices. This incident,
along with the seemingly inexorable trend toward correlation among traditional
securities, shook the very foundation of the correlation matrix upon which
relative strategies and efficient frontier models are based. Today, absolute
returns are back in vogue, along with statistical coefficients such as alpha, a
measurement of return attributed to specific securities independent of general
market fluctuations. Investors increasingly look for fund managers who combine
strong skills in fundamental analysis with the flexibility to move from market
to market, unconstrained by benchmarks and indexing strategies. Within this context, Fernwood’s pitch may have struck one or
more wrong chords, despite the polish and seemingly sophisticated presentation.
Institutions and experienced investors were in no mood to readily embrace an
efficient frontier model fueled by erratic data from a new and often perplexing
asset class in an inefficient industry. The irony of these circumstances is that
an absolute strategy can work well in the inefficient art market. Indeed, the
variety and dynamism of the many underlying category sectors provide fertile
buying, selling and even arbitraging opportunities for nimble art fund managers.
New products measuring market performance by artist and by collector categories
serve to assist with investment analysis. The quality of art data, including the
possibility of disclosed dealer prices and transaction costs, improves steadily.
Meaningful price-performance indices for art sectors will surely follow. The validity of art as investment remains, despite the collapse
of Fernwood and ABN Amro. Aspiring fund managers may well benefit by speaking
less of efficient frontiers and more about the benefits of taking an absolute
return approach on an attractive—and temptingly inefficient—playing field.
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