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ISIN IE00BZ0X9Q28
NAV: 15.50 EUR
NAV DATE: 22-Apr-2024
YTD PERF: 7.9%
YTD PERF. DATE: 31-Mar-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.
Cumulative returns shown are monthly returns calculated on the last business day of each month.
Please note that performance is rebased to 100.
This chart shows the fund's performance as the percentage loss or gain per year over the last 10 years.
Past performance is not a reliable indicator of future performance. Markets could develop very differently in the future. It can help you to assess how the fund has been managed in the past. Performance is shown after the deduction of ongoing charges. Any applicable entry and exit charges are excluded from the calculation. This share class came into existence in 2017. Past performance has been calculated in EUR.
Annualised | |||||||
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QTD | YTD | 1Y | 3Y | 5Y | 10Y | Inception | |
Fund | 7.9 | 7.9 | 16.7 | 5.6 | 5.4 | - | 7.4 |
Annualised | ||||
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1Y | 3Y | 5Y | 10Y | |
Fund | 10.0 | 8.8 | 9.5 | - |
2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|---|---|---|---|
Fund | - | - | - | - | 3.5 | 12.9 | 3.7 | 10.0 | -11.8 | 13.0 |
Q1 2019 -Q1 2020 |
Q1 2020 -Q1 2021 |
Q1 2021 -Q1 2022 |
Q1 2022 -Q1 2023 |
Q1 2023 -Q1 2024 |
|
---|---|---|---|---|---|
Fund | -1.9 | 12.6 | 1.0 | -0.1 | 16.7 |
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 | May-2023 | Jun-2023 | Jul-2023 | Aug-2023 | Sep-2023 | Oct-2023 | Dec-2023 | Jan-2024 | Feb-2024 | Mar-2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|
Favourable performance scenario | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % | 30.6 % |
Moderate performance scenario | 6.3 % | 6.3 % | 6.7 % | 6.7 % | 6.7 % | 6.3 % | 6.1 % | 6.1 % | 6.1 % | 6.1 % | 6.1 % |
Unfavourable performane scenario | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % | -11.8 % |
Stressed performance scenario | -52.3 % | -52.3 % | -52.3 % | -52.3 % | -52.3 % | -52.2 % | -52.2 % | -52.3 % | -52.3 % | -52.2 % | -52.2 % |
Apr-2023 | May-2023 | Jun-2023 | Jul-2023 | Aug-2023 | Sep-2023 | Oct-2023 | Dec-2023 | Jan-2024 | Feb-2024 | Mar-2024 | |||||||||||||||||||||||
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Favourable performance scenario | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | 8.9 % | ||||||||||||||||||||||
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Moderate performance scenario | 7.2 % | 7.2 % | 7.2 % | 7.1 % | 6.6 % | 6.5 % | 6.4 % | 6.0 % | 6.0 % | 6.0 % | 5.8 % | ||||||||||||||||||||||
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Unfavourable performane scenario | -1.3 % | -0.9 % | -0.2 % | -0.2 % | -0.6 % | -1.3 % | -1.5 % | -0.1 % | 0.4 % | 1.4 % | 1.5 % | ||||||||||||||||||||||
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 joined Comgest in 2009 and is an Analyst and Portfolio Manager specialising in Global equities. He is also a member of the Comgest Group's Investment Committee.
Alexandre is also responsible for developing and supervising Comgest’s Flex strategies, the firm's first investment strategies to employ hedging techniques with the objective of reducing volatility and drawdowns. He previously worked in the Group’s US equity team. Before joining Comgest, he worked in New York in asset-backed securities at Société Générale from 2005-2007 and then as a hedge fund credit Analyst at HSBC.
Alexandre graduated from the National School of Statistics and Economic Administration (ENSAE) in Paris and Columbia University in New York where he was awarded a Master’s degree in Financial Mathematics.
Schlomy Botbol joined Comgest in 2016 and is a Quantitative Analyst and Portfolio Manager.
Before joining Comgest, Schlomy worked as a Portfolio Manager gaining more than 10 years’ experience in cross asset investments and alternative strategies for Société Générale Asset Management Alternative Investments and UBP Alternative Investments. He is a derivatives expert who has considerable experience in portfolio management, execution and quantitative research of innovative investment solutions.
Schlomy graduated from the French Grande Ecole Telecom SudParis and holds a Master’s Degree from Université Paris IX – Dauphine (Master 203).
Laure Négiar joined Comgest in 2010 and is an Analyst and Portfolio Manager specialising in Global equities. She is also a non-executive member of the Board of Partners and the Global Equity Team manager.
Laure co-manages Comgest's Global and EAFE (Global ex-US) strategies as well as the team’s segregated accounts. Before joining Comgest, she worked at BNP Paribas Equities & Derivatives in Paris and London, and prior to that worked in several roles within the US government.
Laure obtained a Bachelor’s degree in Public Policy from Stanford University (with Honours and Phi Beta Kappa) before graduating on the Dean's list with an MSc in Management from the HEC business school in France. She is also a CFA® charterholder.
Léo Lenel joined Comgest in 2019 and is a Quantitative Analyst and Portfolio Manager.
Léo previously worked in quantitative research before becoming a risk manager and quantitative analyst for Pictet Asset Management in Geneva. His focus is on quantitative investment strategies, and particularly, the link between fundamental and quantitative management.
Léo graduated from the Ecole Centrale de Nantes and holds a Master's degree in Financial Engineering from the 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 I ACC |
ISIN Code | IE00BZ0X9Q28 |
Bloomberg Code | COGFEIA ID |
WKN Code | A2DUQ3 |
Share Class Currency | EUR |
Fund Base Currency | EUR |
Share Class Distribution Policy | Accumulation |
---|---|
Hedged | Yes |
UCITS | Yes |
Share Class Inception Date | 31-Jul-2017 |
Fund Domicile | IRELAND |
Investment Management Fee | 0.90% |
Ongoing charges | 1.15% |
Maximum entry fee | 0.00% |