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Why invest in our strategy?

Established in 1995, the strategy has $2.4 billion* of client assets across pooled and segregated portfolios.

High-conviction strategy

  • It invests in companies representing the highest-conviction ideas from Putnam's equity research team.
  • Experienced analysts are directly accountable for sleeve performance, which ties to annual compensation.
  •  Applies a sector-neutral approach, with the flexibility to own both growth and value stocks.

Focus on outperformance in a variety of market conditions

  • Alpha has been driven by stock selection, not factor exposures.
  • Low tracking error and high alpha have resulted in highly efficient returns. 

Deep research with an emphasis on stock-specific alpha and risk management

  • A collaborative process emphasises non-consensus critical thinking.
  • Risk management sleeve seeks to maximise stock-specific risk and mitigate factor exposure.

Seeking to capitalise on the expertise of Putnam’s equity research

The strategy pursues consistent, superior risk-adjusted returns through a disciplined approach to idea generation, portfolio construction, and risk management. Managed with a sector-neutral approach, the strategy can own both growth and value stocks.

Best-ideas approach

Invest in stocks that represent the highest-conviction ideas from Putnam’s Equity Research team.

Differentiated research

Research by industry experts to develop non-consensus views about companies’ earnings power and value.

Disciplined risk management

Portfolio is naturally diversified, with active management to minimize factor exposures.

Key attributes

1
 

A sector-neutral portfolio, relative to the S&P 500 Index, that is constructed of individually managed sleeves, including a risk management sleeve.

2
 

Provides a naturally diversified portfolio as a direct result of a focused approach; minimal correlation of alpha among individual sleeves.

3
 

Continuous focus on portfolio construction and risk management.

4
 

Positive stock selection across all sectors over the trailing 5-year period.

5
 

History of consistent high stock-specific alpha over 3- and 5-year periods, with an attractive risk profile.

Process

A veteran team with an average 21 years’ industry experience and 15 years’ tenure at Putnam contribute to stock ideas.
 

Meet the team

The portfolio managers have an average of 22 years in the industry, with 20 years of combined investment experience. They are supported by a tenured team of more than 30 research analysts with deep sector expertise. Putnam’s research team includes industry veterans in Boston, London, and Singapore.

Kate Lakin

Director of Research, Portfolio Manager
Industry experience: 16 years
Years at Putnam: 12 years

Matt LaPlant, CFA

Portfolio Manager, US Research
Industry experience: 26 years
Years at Putnam: 24 years

Jyotsana Wadera

Senior Client Portfolio Manager, US Research
Industry experience: 25 years
Years at Putnam: 25 years

Why Putnam

Active equity manager, with roots dating back to 1937.

$121 billion in assets under management (as of 31 December 2024), of which $64 billion is invested in value strategies.

Capabilities cover value, core and growth strategies across US large, small- and multi-caps, as well as global, non-US and dedicated sustainable investment solutions.

Boutique mindset backed by the scale and resources of Franklin Templeton, which acquired Putnam in January 2024.

Investment team of 17 portfolio managers and 30+ analysts, with average of 18 years’ experience.

Glossary

Alpha

Alpha measures the difference between a fund's actual returns and its expected returns given its risk level as measured by its beta. A positive alpha figure indicates the fund has performed better than its beta would predict. In contrast, a negative alpha indicates a fund has underperformed, given the expectations established by the fund's beta. Some investors see alpha as a measurement of the value added or subtracted by a fund's manager. 

Information ratio

In investing terminology, the ratio of expected return to risk. Usually, this statistical technique is used to measure a manager's performance against a benchmark. This measure explicitly relates the degree by which an Investment has beaten the Benchmark to the consistency by which the Investment has beaten the Benchmark. 

Tracking error

Tracking error is the difference in actual performance between a position (usually an entire portfolio) and its corresponding benchmark.