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ISIN IE00BZ0X9R35
NAV: 13,89 EUR
NAV DATE: 19-apr-2024
YTD PERF: 7,7%
YTD PERF. DATE: 31-mrt-2024
Total Net Assets (all classes, m) 75,8 EUR
Number of holdings 35
Weight of top 10 stocks 47,2%
Share Class Currency EUR
SFDR Article 8
Lower Risk Higher Risk
This indicator represents the Fund’s risk level set out in the Key Information Document. It is not guaranteed and may change during the month.
A Sub-Fund of Comgest Growth plc.
The objective of the Sub-Fund ("the Fund") is to increase the value of the Fund (capital appreciation) over the long term. The Fund intends to achieve this objective through investment in a portfolio of international and diversified, long-term growth companies. The Fund will invest on a global basis in shares and preferred shares issued by companies quoted or traded on regulated markets. The Fund will adopt a 'hedging strategy' using exchange traded equity and volatility index futures. The aim of the hedging strategy is to partially offset loss that may result from a decline in the price of shares held by the Fund. The Fund may use fx forwards with the aim of limiting the effect that changes in foreign exchange rates may have on the value of the Fund.
The Fund is actively managed.
The Fund is aimed at investors with a long-term investment horizon (typically 5 years or more).
This fund has the following core inherent risks (non-exhaustive list):
• Investing involves risk including possible loss of principal,
• The value of all investments and the income derived therefrom can decrease as well as increase,
• There is no assurance that the investment objective of the fund will be achieved,
• When a Share Class is denominated in a currency that is different from yours, changes in exchange rates can negatively impact both the value of your investment and the level of income received.
• There is no assurance that hedging transactions will be effective or beneficial or that a hedge will be in place at any given time.
A more detailed description of the risk factors that apply to the fund is set out in the Prospectus.
Annualised | |||||||
---|---|---|---|---|---|---|---|
QTD | YTD | 1Y | 3Y | 5Y | 10Y | Inception | |
Fund | 7,7 | 7,7 | 15,7 | 4,7 | 4,5 | - | 5,9 |
Annualised | ||||
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1Y | 3Y | 5Y | 10Y | |
Fund | 10,1 | 8,9 | 9,5 | - |
2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|---|---|---|---|
Fund | - | - | - | - | 2,6 | 12,0 | 2,9 | 9,0 | -12,6 | 12,0 |
Q1 2019 -Q1 2020 |
Q1 2020 -Q1 2021 |
Q1 2021 -Q1 2022 |
Q1 2022 -Q1 2023 |
Q1 2023 -Q1 2024 |
|
---|---|---|---|---|---|
Fund | -2,8 | 11,5 | 0,2 | -1,0 | 15,8 |
Past performance does not predict future returns.
Performance figures are calculated net of investment management fees, administrative fees and all other fees with the exception of sales charges. If taken into account, sales charges would have a negative impact on performance.
Company Name | Weight (%) |
---|---|
Microsoft | 7,3 |
Eli Lilly | 7,1 |
ASML Holding | 5,9 |
Linde | 4,8 |
Taiwan Semiconductor Manufacturing | 4,2 |
The above equity exposures are provided for information only, are subject to change and are not a recommendation to buy or sell the securities.
Past performance does not predict future returns.
Breakdowns based on Comgest data, GICS sector and MSCI country classifications.
Past performance does not predict future returns.
apr-2023 | mei-2023 | jun-2023 | jul-2023 | aug-2023 | sep-2023 | okt-2023 | dec-2023 | jan-2024 | feb-2024 | mrt-2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|
Favourable performance scenario | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % | 29,5 % |
Moderate performance scenario | 5,4 % | 5,4 % | 5,7 % | 5,7 % | 5,7 % | 5,4 % | 5,2 % | 5,2 % | 5,2 % | 5,2 % | 5,2 % |
Unfavourable performane scenario | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % | -12,6 % |
Stressed performance scenario | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % | -52,2 % |
apr-2023 | mei-2023 | jun-2023 | jul-2023 | aug-2023 | sep-2023 | okt-2023 | dec-2023 | jan-2024 | feb-2024 | mrt-2024 | |||||||||||||||||||||||
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Favourable performance scenario | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | 8,0 % | ||||||||||||||||||||||
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Moderate performance scenario | 6,3 % | 6,3 % | 6,3 % | 6,2 % | 5,6 % | 5,6 % | 5,5 % | 5,1 % | 5,0 % | 5,0 % | 4,8 % | ||||||||||||||||||||||
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Unfavourable performane scenario | -1,6 % | -1,1 % | -0,5 % | -0,5 % | -0,9 % | -1,6 % | -1,8 % | -0,4 % | 0,0 % | 1,0 % | 1,1 % | ||||||||||||||||||||||
This type of scenario occurred for an investment between the following years |
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Stressed performance scenario | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % | -11,8 % |
What you will get from this product depends on future market performance. Market developments in the future are uncertain and cannot be accurately predicted.
The unfavourable, moderate, and favourable scenarios shown are illustrations using the worst, average, and best performance of the product and/or, in case of insufficient track record, a comparable share class or benchmark, over the last 10 years. The scenarios shown are illustrations based on results from the past and on certain assumptions.
The scenarios presented are an estimate of future performance based on evidence from the past on how the value of this investment varies, and are not an exact indicator. What you will get will vary depending on how the market performs and how long you keep the product. The figures do not take into account your personal tax situation, which may also affect how much you get back.
The figures shown include all the costs of the product itself, but may not include all the costs that you pay to your advisor or distributor. The figures do not take into account your personal tax situation, which may also affect how much you get back.
The stress scenario shows what you might get back in extreme market circumstances.
Alexandre Narboni trad in 2009 in dienst bij Comgest, hij analist en portefeuillebeheerder gespecialiseerd in wereldwijde aandelen. Hij is tevens lid van het Investment Comité binnen Comgest.
Alexandre is ook verantwoordelijk voor de ontwikkeling van en het toezicht op Comgest's Flex strategieën, onze eerste beleggingsstrategieën die gebruik maken van hedging technieken met als doel het verminderen van volatiliteit en “drawdowns”. Hiervoor maakte hij deel uit van het Amerikaanse aandelenteam van Comgest. Voordat Alexandre bij Comgest in dienst kwam, werkte hij van 2005 tot 2007 in New York in “asset-backed securities” bij Société Générale en daarna als hedge fund credit analist bij HSBC.
Alexandre is afgestudeerd aan de Ecole Nationale de la Statistique et de l'Administration économique (ENSAE) in Parijs en aan de Columbia University in New York, waar hij een mastergraad in financiële wiskunde heeft behaald.
Schlomy Botbol kwam in 2016 in dienst als Quantitative analist.
Daarvoor werkte hij als portefeuille beheerder en deed hij meer dan 10 jaar ervaring op in cross asset beleggingen en alternatieve strategieën. In het bijzonder voor Société Générale Asset Management Alternative Investments en UBP Alternative Investments. Hij is een expert in derivaten met een aanzienlijke ervaring in portefeuillebeheer, uitvoering en kwantitatieve research van innovatieve beleggingsoplossingen.
Schlomy is afgestudeerd aan de French Grande Ecole Telecom SudParis en heeft zijn Master behaald aan de Université Paris IX-Dauphine (Master 203).
Laure Négiar is sinds 2010 in dienst bij Comgest, ze is analist en portefeuillebeheerder gespecialiseerd in wereldwijde aandelen. Ze is ook niet-uitvoerend lid van de Board of Partners en manager van het wereldwijde aandelenteam.
Laure is mede-beheerder van Comgest's Global en EAFE (Global ex-US) strategieën en van de mandaten wereldwijde aandelen. Voordat Laure bij Comgest kwam, werkte ze bij BNP Paribas Equities & Derivatives in Parijs en Londen, daarvoor bekleedde ze verschillende functies binnen de Amerikaanse overheid.
Laure behaalde haar Bachelor in Public Policy aan de Stanford University (cum laude en Phi Beta Kappa) voordat zij afstudeerde aan de Dean’s list met een Master in Management aan de HEC business school in Frankrijk. Laure is CFA®-charterhouder.
Léo Lenel trad in 2019 in dienst bij Comgest, hij is kwantitatief analist en portefeuillebeheerder.
Leo werkte al aan kwantitatief onderzoek voordat hij risicomanager en kwantitatief analist werd voor Pictet Asset Management in Genève. Zijn focus ligt op kwantitatieve beleggingsstrategieën en in het bijzonder op het verband tussen fundamenteel en kwantitatief beheer.
Léo is afgestudeerd aan de Ecole Centrale de Nantes en heeft zijn Master in Financial Engineering behaald aan de Ecole Polytechnique Fédérale de Lausanne.
Investment Team listed above may include advisors from affiliates within the Comgest Group.
Investment Manager | Comgest Asset Management International Limited |
---|---|
Sub Investment Manager | Comgest S.A. |
Management company | None / Comgest Growth plc is self-managed |
Fund Name | COMGEST GROWTH GLOBAL FLEX |
Share Class | COMGEST GROWTH GLOBAL FLEX EUR R ACC |
ISIN Code | IE00BZ0X9R35 |
Bloomberg Code | COMGERE ID |
Sedol Code | Null |
Share Class Currency | EUR |
Fund Base Currency | EUR |
Share Class Distribution Policy | Accumulation |
---|---|
Hedged | Yes |
UCITS | Yes |
Share Class Inception Date | 11-okt-2017 |
Fund Domicile | IRELAND |
Investment Management Fee | 1,80% |
Ongoing Charges | 2,05% |
Maximum Entry Fee | 2,00% |