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      • LO Funds - DataEdge Market Neutral, (USD) P A

      LO Funds
      DataEdge Market Neutral

      (USD) P A
        ISINLU2736022166

        LO Funds - DataEdge Market Neutral, (USD) P A

        ISINLU2736022166
        funds listsustainability report

        General information

        Asset ClassAlternatives
        CategoryEquity Long/Short
        StrategyLiquid Alternatives Strategies
        Fund base currencyUSD
        Share Class reference currencyUSD
        Dividend Policyaccumulated
        Total Assets (all classes) in mnUSD 38.9430.04.2025
        Assets (share class) in mnUSD 0.0030.04.2025
        Number of positions--
        TER1.85%30.09.2024

        Documents

        Key Information Document
        English (pdf)
          Prospectus
          English (pdf)
            Fact Sheet (marketing document)
            English (pdf)
              Newsletter IM - Professional
              English (pdf)

                Risk rating

                Lower riskHigher risk
                1
                1
                2
                2
                3
                3
                4
                4
                5
                5
                6
                6
                7
                7
                Typically lower rewardTypically higher reward
                Past performance is not a guarantee of future results. If the funds are denominated in a currency other than that in which the majority of the investor's assets are held, the investor should be aware that changes in rates of exchange may affect the value of the funds' underlying assets. The portfolio risk management process includes an effort to monitor and manage risk, but does not imply low risk.
                • Performance & Statistics
                • Highlights
                • Breakdowns
                • Managers
                • Legal information
                • Dealing
                • Security Numbers
                • Prices
                • Documents

                Performance & Statistics

                Rolling 12 months Performance (%)Cumulative performance (%)Annualised performance (%)
                Loading...
                As of 
                Share Class (Net)
                Benchmark
                Sorry, we could not retrieve the data for this share class.
                Any benchmarks/indices cited herein are provided for information purposes only. No benchmark/index is directly comparable to the investment objectives, strategy or universe of a fund.
                Loading...
                As of 
                Share Class (Net)
                Benchmark
                Sorry, we could not retrieve the data for this share class.
                Any benchmarks/indices cited herein are provided for information purposes only. No benchmark/index is directly comparable to the investment objectives, strategy or universe of a fund.
                Loading...
                As of 
                Share Class (Net)
                Benchmark
                Sorry, we could not retrieve the data for this share class.
                Any benchmarks/indices cited herein are provided for information purposes only. No benchmark/index is directly comparable to the investment objectives, strategy or universe of a fund.

                Key risks

                The following risks may be materially relevant

                but may not always be adequately captured by the summary risk indicator and may cause additional loss:


                 
                Risks linked to the use of derivatives and financial techniques: Derivatives and other financial techniques used substantially to obtain, increase or reduce exposure to assets may be difficult to value, may generate leverage, and may not yield the anticipated results. All of this could be detrimental to fund performance.
                 
                Concentration risk: To the extent that the fund's investments are concentrated in a particular country, market, industry, sector or asset class, the fund may be susceptible to loss due to adverse occurrences affecting that country, market, industry, sector or asset class.
                 
                Model Risk: Models may be misspecified, badly implemented or may become inoperative when significant changes take place in the financial markets or in the organization. Such a model could unduly influence portfolio management and expose to losses.
                 

                 

                Highlights

                LO Funds - DataEdge Market Neutral is a an actively managed UCITS portfolio. It implements a diversified equity long/short, sector market neutral strategy leveraging on trading signal generation based on the latest breakthroughs in big data and predictive analytics to identify key business trend inflections. The Investment Manager implements its strategy by getting exposure to companies that it believes to be undervalued and by getting short exposure to companies that it believes to be overvalued. The strategy focuses on real-time business activity tracking approach, giving a true information edge not yet priced by the market to propose a contrarian portfolio looking to invest in stocks where their models predict large delta vs. market expectations.The strategy relies on the use, acquisition, and analysis of alternative data points across multiple geographies, sectors, and sources, such as but not limited to credit card transactions, digital receipts, web traffic, application activity or geolocation. These data have for objective to provide an information edge on companies, including but not limited to sales, revenues, new customers and engagement patterns that are key performance indicators (KPI) of a company influencing its share price. From a geographic perspective, the investment universe is predominantly focused on the United States. With the amount of alternative data available projected to grow further over the future, the coverage universe, either in terms of number of stocks, regions or sectors, is expected to expand accordingly. Risk management is performed at the portfolio level, while an independent team oversees investment and operational risks.

                Breakdowns

                March 2025

                  FUND WEIGHTS (IN %)

                  GMV0.00% 138.92%
                  NMV0.00% 0.13%

                  EXPOSURE BY REGION (in % GMV)

                  North-America0.00% 97.65%
                  Others0.00% 2.35%

                  EXPOSURE BY SECTOR (IN GMV%)

                  Consumer discretionary0.00% 55.14%
                  Industrials0.00% 25.50%
                  Information technology0.00% 25.07%
                  Consumer staples0.00% 13.02%
                  Communications & Services0.00% 11.67%
                  Health care0.00% 8.53%
                  Energy0.00% 0.00%
                  Financials0.00% 0.00%

                  EXPOSURE BY MARKET CAP (in % GMV)

                  Large (over USD 10 billion)0.00% 33.86%
                  Medium (USD 2-10bn)0.00% 42.25%
                  Small (under USD 2 billion)0.00% 24.16%

                  Managers

                  Laurent JouéInvestment Management (Systematic Strategies & Alternatives)
                  Read more
                  Laurent Joué is a senior portfolio manager in the 1798 Hedge Fund/Alternatives team at Lombard Odier Investment Mangers (LOIM). He originally joined LOIM as a junior portfolio manager in the fund of hedge funds team in July 2008, before joining the Systematic Alternatives & Equities team in November 2009. He co-manages the Alternative Risk Premia range of products and the LO Funds–Commodity Risk Parity strategies. He began his professional career in 2005 as an assistant portfolio manager at Géa in Paris, the ADI-LODH joint-venture specialised in hedge fund multi-management. Laurent earned a master’s degree in market finance from the Institut Supérieur Européen de Gestion in 2005.
                  Marc Pellaud, Ph.D.Investment Management (Systematic Strategies & Alternatives)
                  Read more
                  Marc Pellaud is a Senior Portfolio Manager in the 1798 Hedge Fund / Systematic Alternatives team within Lombard Odier Investment Managers (LOIM). He initially joined LOIM in 2007, and the systematic alternatives team in 2009, where he co-managed a hedge fund replicator. This was a top-down factor-based approach aimed at delivering hedge fund-like returns with daily liquidity. With the inception of LOIM’s Alternative Risk Premia franchise, the natural evolution was to then further incorporate a bottom-up approach, which was done in 2014. Marc has been developing and co-managing this franchise ever since. In addition, he also co-manages LOIM’s Commodity Risk Premia offering since 2011. Marc earned a PhD in life sciences from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2007. He also gained a master’s degree in natural science from the University of Geneva and a bachelor of science in biology, specialising in marine and freshwater from the University of New Hampshire, USA.

                  Legal information

                  General information

                  DomicileLuxembourg
                  Legal FormSICAV
                  Regulatory StatusUCITS
                  Registered inAT, BE, CH, DE, ES, FR, GB, LI, LU, NL, SE
                  Class launch date01.07.2024
                  Close of financial year30 September
                  Dividend Policyaccumulated

                  Fiscal Information

                  DE Investmentsteuergesetz (InvStG)Other Funds
                  AT Investmentfondsgesetz (InvFG)Declared Fund
                  UK Reporting StatusNo

                  Management Company & Agents

                  Management CompanyLombard Odier Funds (Europe) S.A.
                  CustodianCACEIS Bank, Luxembourg Branch
                  AuditorPricewaterhouseCoopers
                  Portfolio valuationCACEIS Bank, Luxembourg Branch

                  Dealing

                  Dealing

                  Subscriptions and redemptions frequency daily
                  Subscriptions and redemptions cut-off dayT-2
                  Subscriptions and redemptions cut-off time15:00 CET
                  Subscriptions and redemptions settlement dateT+2
                  NAV valuation pointT
                  NAV calculation dayT+1
                  NAV calculation frequencydaily
                  Minimum InvestmentEUR 3'000 or equivalent
                  Management Fee1.00%
                  Distribution Fee0.50%
                  Performance Fee15% over SOFR Rate

                  Security Numbers

                  BLOOMBERGLOFDMUP LX
                  ISINLU2736022166
                  SEDOLBPG28L1
                  TELEKURS131956463

                  Prices

                  Since launch
                  • 1 month
                  • 3 months
                  • 6 months
                  • 2025 YTD
                  • Since launch
                  • Custom
                  Export

                  Prices over selected period

                  LastUSD0.0010.2807.05.2025
                  FirstUSD0.0010.0001.07.2024
                  HighestUSD0.0010.5605.03.2025
                  LowestUSD0.009.6927.12.2024
                  * Earliest Date: 01.07.2024, Latest date: 07.05.2025

                  Documents

                  Professional investors only

                  Newsletter IM - Professional
                  30.04.2025
                  English (pdf)

                    Reporting

                    Fact Sheet (marketing document)
                    31.03.2025
                    English (pdf)
                      Performance Review
                      31.03.2025
                      English (pdf)

                        Legal Documents

                        Notice to Shareholders
                        17.04.2025
                        Français (pdf)
                          19.07.2024
                          Français (pdf)
                            17.05.2024
                            Français (pdf)
                              24.01.2024
                              Français (pdf)
                                Key Information Document
                                28.01.2025
                                English (pdf)
                                  Annual Report
                                  30.09.2024
                                  English (pdf)
                                    Prospectus
                                    19.08.2024
                                    English (pdf)
                                      Semi-Annual Report
                                      31.03.2024
                                      English (pdf)
                                        Articles of incorporation
                                        21.03.2019
                                        English (pdf)

                                          insights.

                                          LOIM launches DataEdge Market Neutral Strategy
                                          media releasesalternatives
                                          media releasesalternativesData Edge - market neutralCorporate

                                          LOIM launches DataEdge Market Neutral Strategy

                                          July 9, 2024

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

                                          5 questions on our new DataEdge alternatives strategy
                                          alternativesData Edge - market neutral
                                          alternativesData Edge - market neutralalternativesInstitutionalWholesale

                                          5 questions on our new DataEdge alternatives strategy

                                          June 20, 2024

                                          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?
                                          alternativesData Edge - market neutral
                                          alternativesData Edge - market neutralalternativesInstitutionalWholesale

                                          How can big data be used to benefit investors?

                                          June 18, 2024

                                          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. 

                                          more insights
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