Kevin Radell is president of Predmore Holdings, a New
York–based fine art and investment management consultancy. Predmore advises
Artnet Worldwide on the development of market research products derived from
Artnet’s signature Price Database.
The collapse of Fernwood Art
Investments last summer because of "irreconcilable differences" rocked not only
the art world, but also the mother of all potential patrons: Wall Street. Could
personalities alone ruin such a tantalizing market opportunity, or are we
missing something? For aspiring art fund managers, wearing art indices and
market measurement tools on their sleeves can do more harm than good.
Imaginations had strained for nearly two years to understand
why the self-proclaimed Merrill Lynch of art investments had not closed on at
least one smallish art fund, despite Fernwood’s avowal that it had not shifted
into fundraising mode. However, few would have guessed that internal discord
would, or could, end this high-profile and unabashedly expensive American effort
to tout art as the latest and greatest alternative asset among wealth managers
and institutional investors.
Art had finally made it on the Wall Street radar screen as the darling new alternative asset
class; last June, a single Gustav Klimt painting fetched a record $135 million. | In explaining the art industry from both a curatorial and
financial perspective, no group exceeded Fernwood, which packaged its products
accordingly. Masterful presentations to institutions and wealthy investors,
integrating Nobel laureate Harry Markowitz’s efficient frontier model, showed
how fine art reduces risk and increases expected return in a statistically
measured investment portfolio. Like ABN Amro before it, Fernwood wore the mantel
of the popular Mei Moses All Art Index on an as-needed basis to add impact.
Proprietary stress testing in Fernwood presentations showed that art performs
well during times of inflation, rising interest rates and even during down
markets and periods of weaker economic growth.
Once convinced that art risk was quantifiable, investors could
choose the Sector Fund or the Opportunity Fund, each capped at a proposed $100
million. Fernwood would manage the former vehicle from the viewpoint of an art
collector, diversifying among the major collector categories while also
providing a modicum of liquidity through structural gymnastics. The Opportunity
Fund would operate as an art dealer, with an additional risk/return element and
clearance to engage in other investment activities—such as short- and long-term
lending and assisting with consignor guarantees. This product line is quite
ingenious, as it suggests an insider’s understanding of the art industry
articulated in the seemingly unassailable language of modern portfolio
theory.
Personalities aside, why would any sane business organization
blow such a story at a time when the white-hot art industry was enjoying its
third year of a bull market? Art had finally made it on the Wall Street radar
screen as the darling new alternative asset class; last June, a single Gustav
Klimt painting fetched a record $135 million. One possibility concerns the dual
impact of the questionable relevance of art data as an input for efficient
frontier models, combined with the movement away from relative return portfolio
management strategies among professional asset managers.
Many believe that the art market is highly inefficient, thereby
offering a window of opportunity to find undervalued situations.
Reflecting this condition, art market data used as input for efficient frontier
models intuitively suggests an oxymoron from the start. But let us dig deeper.
Markowitz developed modern portfolio theory and the efficient frontier model in
the 1950s. The latter uses advanced statistical techniques to measure the effect
on portfolio risk and return of different securities, or asset categories,
having different price movement correlations. For example, asset categories that
have a relatively low level of correlation, such as real estate and stocks, can
improve the level of expected return for a given level of risk when included in
a diversified portfolio. The efficient frontier is the graphical curve
representing the optimal mix of assets that will produce the highest return for
each level of risk.
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