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Investing for outcomes requires the right tools. Our smart beta ETFs allow you to work with precision, as their methodology was designed with purpose—to seek to produce stronger risk-adjusted returns over the long term. The funds target a proprietarily engineered factor weighting across Value, Momentum and Low Volatility and emphasize our, robust definition of Quality.

A Comprehensive View of Quality

Quality has several definitions in the industry, sometimes only measured by a single metric. Our robust, comprehensive measurement criteria seeks to replicate traditional financial statement analysis. Multiple descriptors are utilized to more effectively capture the desired characteristics across industries, countries and business operating models. Our belief is that to best capture Quality systematically, a more prudent approach considers more than just a few characteristics.

Advancements in Smart Beta Index Design – Not All Factors Are Created Equal

Since the 1970s, investment strategies that seek to track cap-weighted indexes have become an increasingly popular choice for many investors. While these strategies offer broad market exposure, they also have limitations.

This paper explores some of the shortcomings of cap-weighted index investing and presents the results of our research, which suggests that designing an index around criteria other than market cap may offer investors an attractive alternative.

Download this paper to learn more.

Currently Available Smart Beta ETFs

FLQG Franklin LibertyQ Global Equity ETF

FLQE Franklin LibertyQ Emerging Markets ETF

FLQH Franklin LibertyQ International Equity Hedged ETF

FLQL Franklin LibertyQ U.S. Equity ETF

FLQM Franklin LibertyQ U.S. Mid Cap Equity ETF

FLQS Franklin LibertyQ U.S. Small Cap Equity ETF

Understanding the Libertyq Factor Methodology

Chandra Seethamraju, Ph.D., Director of Qualitative Strategies, Franklin Templeton Multi-Asset Solutions, discusses the methodology behind Franklin’s multi-factor smart beta ETFs, including the rationale behind LibertyQ’s custom factor definitions and their factor weightings.



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