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PanAgora
Asset Management provides institutions worldwide with a wide range
of investment management services. Organized in 1985 and incorporated
in 1989, PanAgora is privately owned by its principals, Putnam Investments,
and Nippon Life Insurance Company in Japan. Headquartered in Boston,
the firm manages $13.4 billion in assets (as of June 30, 2005) for
pension plans, endowments, foundations, unions, and financial service
providers around the globe. The firm also maintains partnerships
in Europe, Asia and in Canada.
Investment
Philosophy
PanAgora's investment philosophy is predicated on the belief that
significant inefficiencies exist in the global capital markets,
and that a structured investment process offers the best way to
exploit these inefficiencies. PanAgora's structured process merges
traditional investment theory with quantitative investment techniques.
Investment theory and portfolio manager experience serve as the
foundation for all investment strategies. Quantitative techniques
verify, refine, and apply these ideas to the portfolio management
process. The benefits of this approach are:
- Incorporating
investment theory into the beginning of the process allows the
firm to distinguish between relationships that will be useful
in forecasting the future rather than those that merely illustrate
recent history.
-
PanAgora's use of quantitative methods brings objectivity to the
investment process. When applied with discipline, these techniques
can consistently exploit inefficiencies because they are not hindered
by the emotions that cloudother investors' judgment.
Investment
Process
Three distinct steps describe PanAgora's investment process:
- Forecasting
Returns
- Risk
Control and Portfolio Construction
- Implementation
In
the first step, PanAgora develops valuation models to predict an
asset's future return. Value and growth investment styles, represented
by factors such as price-to-book and return-on-equity, are used
in many of the firm's products. Technical analysis is also employed
by using factors based on return momentum and reversal. The firm's
portfolio managers use regression analysis and other statistical
techniques to put these ideas into a consistent format.
PanAgora
typically controls risk in two ways: through optimization and active
position limits. Optimization considers every possible combination
of assets to determine the best mix with the maximum risk-adjusted,
expected return. This process builds and maintains portfolios with
low risk relative to the benchmark.
PanAgora
uses active position limits, defined as the most any holding can
be overweighted or underweighted, to diversify the active portfolio
positions. The goal is to prevent the excessive risk that can come
from very concentrated positions. For example, position limits protect
portfolios against unforeseeable events. Once the optimization process,
which incorporates the position limits, is completed, the portfolios
are ready for implementation.
PanAgora
implements the recommendations resulting from its investment process
in a disciplined manner. Since many market inefficiencies ultimately
result from investors' emotions and behavioral tendencies, a disciplined
approach prevents the firm from falling prey to the same human emotions
it exploits. Markets are constantly evolving, however, so the firm
is diligent in revisiting, refining, and evaluating its products
in order to adapt to structural changes in the markets. Under very
extreme conditions, PanAgora’s Investment Committee may override
its process' recommendations by reducing its active positions, or
in some cases, by reverting to benchmark weights.
Quantitative
Research
Research plays a central role in PanAgora's investment process.
The firm's internal quantitative research team oversees all product
development and enhancements in collaboration with the portfolio
managers. Financial experts outside the firm are consulted for their
objective input; the most notable example being PanAgora's Academic
Advisory Committee, which is comprised of highly distinguished academics
with expertise in financial economics and forecasting.
PanAgora's
research process uses statistical tools to supplement its investment
judgment—not replace it. The firm requires that investment
ideas be tested against actual data as realistically as possible
before implementation. Creating such a testing environment requires
part of the historical data be set aside during model development.
Only after the model is completed in-sample will the holdback sample
be used to simulate portfolio performance. All simulations reflect
the types of risk constraints, turnover limits, and transaction
costs encountered when managing portfolios. The ability to assess
each strategy's level of outperformance before implemention gives
PanAgora a competitive edge in quality control.
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