DataEdge Market Neutral 

Seeking alpha potential through alternative data

Alternative data is a powerful resource for investors analysing corporate fundamentals in advance of earnings reports, generating actionable insights on progress towards performance targets. Through alternative data, we seek an information edge – and strong alpha potential.
 

Target performance/risk represents a portfolio construction goal. It does not represent past performance/risk and may not be representative of actual future performance. For illustrative purposes only. *This expertise is accessed via a specialist external firm.

what is big data?

By tracking consumer behaviour, big data provide a mosaic of information derived from multiple sources. Such data include consumer spending habits, online behaviour, geolocation services and contributory databases.

Alternative data sources

source: LOIM. For illustrative purposes only.

our DataEdge strategy.

Generating actionable insights from alternative data sources, we aim to deliver a market-neutral equity portfolio offering strong alpha potential and a very low correlation to traditional asset classes. 

Applying data-science techniques to diverse information sources – such as aggregated and geolocated credit-card transactions and insurance claims, airport traffic and internet searches – we seek an information edge ahead of corporate earnings revisions. We exclude social media views due to amplification risks and biased consumer views. 

After leveraging big data to gain predictive analytics on corporate fundamentals, we manage the portfolio through systematic techniques to ensure diversification and robustness.

key characteristics.

 

  • Target Information Ratio above 1 with annualised volatility target of ~7-8%
  • Pure alpha potential with minimal correlation to traditional asset classes
  • Predictive models achieving a 70-80% hit rate on earnings revisions
  • Long and short alpha-seeking exposures
  • Low concentration risk with a highly diversified portfolio of ~250 stocks

Holdings and allocations are subject to change.

why us?

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We understand, and actively use,
alternative data – LOIM has
incubated and tested an equivalent
strategy since 2018 
 

 

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Trusted by institutional investors
across the world
 

 

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Robust infrastructure supporting
talented teams since 2007
 

 

investment process.

investment team.

Our quantitative investment team comprises 21 experienced investment professionals managing more than USD 10 billion1 during long, continuing tenures at LOIM. Laurent Joué leads the Systematic Alternatives team, having worked at LOIM for 18 years.

To access more than 200 tested alternative datasets, we partner with a pioneering big-data aggregator led by a former Portfolio Manager on our 1798 platform.

 

[1] AUM as of June 2024.

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Laurent Joué
Head of Systematic Alternatives

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Marc Pellaud, PhD
Portfolio Manager

Source LOIM : Team subject to change. For illustrative purposes only.

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LOIM launches DataEdge Market Neutral Strategy
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LOIM launches DataEdge Market Neutral Strategy

The strategy uses big data on consumer trends to identify earnings surprises and capture alpha potential.

5 questions on our new DataEdge alternatives strategy
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5 questions on our new DataEdge alternatives strategy

This Q&A explores how our DataEdge alternatives strategy uses big data on consumer trends to identify earnings surprises and capture alpha potential.

How can big data be used to benefit investors?
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How can big data be used to benefit investors?

Our DataEdge equity strategy uses big data to gain insights into consumer trends that could impact company earnings. The key is knowing how to cut through the noise. 

important information.

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