FTSE Diversification Based Investing Index Series

Methodology overview
FTSE Diversification Based Investing
Index Series
Objective
Features
The FTSE Diversification Based Investing Index Series,
launched in association with QS Investors, LLC, seeks
higher absolute and risk-adjusted returns compared to
cap-weighted indexes with less downside risk.
• Helps investors to avoid concentration
risk – or bubbles – in global and
international equity markets that tend to
build and collapse
Philosophy
Three key beliefs form the foundation of Diversification Based Investing (DBI):
1. G
eography and industry are the primary drivers of global/international
equity risk and return
2. M
arket sentiment can produce momentum effects that cause
concentration risk in equity indexes that tend to build and collapse
• Has historically outperformed market cap
weighted benchmark equivalents over
extended periods
• Has a transparent, intuitive and
straightforward index construction process
• Is highly diversified and easily
implementable with a high level of liquidity
3. A
diversified portfolio helps reduce concentration risk and downside risk
Supporting rationale
The DBI investment philosophy and process reflect the following
observations about the global equity markets:
Geography and industry drive risk and return: Where a company does
business and its type of business explains the majority of risk and return for
global equities over the past several decades.
Market sentiment leads to concentration risk: Broad equity indexes
are often considered highly diversified investments. And yet market
sentiment or, put another way, investors’ collective enthusiasms, can cause
concentrations in indexes that build up and subsequently collapse. For
example, in the 1980s, overly optimistic investors drove Japanese equity
prices up much faster than stock prices in the rest of the world. Japanese
stocks accounted for over 30% of Global Market Capitalization by weight
in 1989. The eventual peak led to a decline that continued over the next
decade. Similar “boom and bust” examples occurred in the late 1990s with
technology stocks and, more recently, with financial and cyclical stocks.
These concentrations resulted from repeated patterns of investor behavior.
The FTSE DBI Index Series is designed to avoid the concentration risk seen in
market cap-weighted indexes.
ftserussell.com
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FTSE Russell
FTSE Diversification Based Investing Index Series
Index methodology
Underpinnings:
To achieve the goal of maximum diversification across countries and
industries, DBI groups stocks into risk themes or “clusters” according to their
correlations and then equal-weights the clusters. The result is a diversified
portfolio structured according to risk themes in the market based on
correlations rather than market cap weights. This is achieved through a four
step process:
Macro and Behavioral Inefficiency DBI
seeks to take advantage of macro and
behavioral inefficiencies in global and
international equity markets by developing
a diversified exposure to macro risk factors.
DBI uses analysis of country and industry
correlations to create an index that is highly
diversified across major risk exposures in
the market. It does not engage in stock
selection. Behavioral inefficiencies, such
as the inclination towards herding, can
arise when investors face uncertainty over
the likely impact of traditional drivers of
country and industry allocation decisions.
These drivers include:
Step 1:
Step 2:
Step 3:
Step 4:
Partition the
universe into key
risk exposures
Cluster highly
correlated risk
exposures
Weight for
optimal
diversification
Implement to
dynamically capture
market shifts
Methodology
Step 1: Partition the investment universe
The objective of this step is to identify stocks with common risk drivers. We
do this by dividing the investment universe from each relevant FTSE Index
by country and industry into “risk units.”
Step 2: Cluster highly correlated risk units
The objective of this step is to identify the key risk themes or drivers in
equity markets. We use correlation analysis to group highly correlated risk
units into “clusters” which represent risk themes or exposures in equity
markets. Risk Units are clustered such that the correlation of risk units
within clusters is high and the correlation between clusters is low, thereby
seeking a high level of diversification across risk themes.
Step 3: Weight for optimal diversification
The objective of this step is to develop a diversified exposure to key drivers
of risk in equity markets. Our approach is to equally weight all clusters
and then equally weight the risk units within each cluster. This allows us to
systematically give greater weight to good diversifiers and relatively less
weight to poor diversifiers.
Step 4: Implementation
The objective of this step is to capture structural changes in correlations
with low turnover. To do this, the risk clusters are updated annually to
ensure the portfolio reflects shifts in correlations among risk units, and the
indexes are rebalanced quarterly to maintain diversification. Turnover is
therefore minimized to keep transaction and market impact costs low.
Methodology overview
Monetary policy: The future level of interest
rates, potential and implemented asset
purchases as well as other actions by central
banks is uncertain as is their impact over the
near- and medium-term. Investors struggle
with these issues when evaluating the value
of different parts of the market and the
impact on economic growth as well as the
effectiveness of policy actions.
Fiscal policy: Similar to monetary policy,
fiscal stimulus or austerity is debated,
enacted and modified over the mediumterm
and subject to disagreement by policy
makers as well as investors. It takes years to
assess the impact of fiscal policy often with
uneven and contradictory economic data
that is released on an infrequent basis.
Regulatory policy: Legislative agendas
and reaction to market events can have
a large impact on perceived and actual
country competitiveness as well as
industry profitability and business strategy.
These changes are often debated over a
multi-year time frame and the impact of
legislation is uncertain.
Data definitions available from ftserussell.com.
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FTSE Diversification Based Investing Index Series
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shown may not represent the results of the actual trading of investable assets. Certain returns shown may reflect backtested performance. All performance presented prior to the index inception date is back-tested performance. Back-tested
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Methodology overview
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FTSE Russell
FTSE Diversification Based Investing Index Series
About FTSE Russell
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For more information, visit www.ftserussell.com.
About QS Investors, LLC
QS Investors, LLC is an independent investment firm providing asset
management and advisory services to a diverse array of institutional clients.
QS Investors has focused over the last 10 years on pioneering approaches to
integrating quantitative and qualitative investment insights and dynamically
weighting key market drivers a cross a diverse spectrum of strategies
including global tactical asset allocation, global and US equities.
For more information please visit: www.qsinvestors.com.
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Methodology overview
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