Fact sheet: Old Mutual Asia Pacific

Fund information
Fund name
Old Mutual Asia Pacific A Acc
Fund manager company
Old Mutl Glbl Investors(UK)Ltd
Fund type
OEIC
Fund managers
  • Amadeo Alentornsince 12/12/2011
  • Ian Heslopsince 12/12/2011
  • Mike Serventsince 12/12/2011
Fund objective
To achieve long term capital growth through the active management of a diversified portfolio of securities. There will be no geographic or economic restrictions but principally, investment will be in securities traded on Asian and Australasian stock markets.
Benchmark
  • MSCI AC Asia Pacific ex Japan
Investment style
Growth
Investment method
Shares
Quick stats
1 Year return
54.7%
1 Year rank in sector
-
Sector
UT Asia Pacific Excluding Japan
Yield
0.8%
Ongoing charge (OCF)
?A fund’s ongoing charges figure (OCF) is similar to the old-style total expense ratio. It reflects the annual charge to investors in the fund, in percentage terms, but does not include extra performance-related fees (where these are levied) or the fund’s trading expenses on its underlying investments.
1.75%
Fund size
£136m (£67m last year)
FE Risk score
?FE Risk Scores measure the riskiness of instruments relative to the FTSE 100 index of shares. Weekly volatility is measured over three years with recent behaviour counting more heavily than earlier behaviour. Cash-type investments will have scores close to zero. Funds will tend to have scores in the 0-150 range. The FTSE 100 is always scored at 100. There is no upper limit.
121
Top in this sector
Fund name1 Year
Invesco Perp Asian63.7%
Old Mutual Invesco Perp Asn61.3%
Marlborough Far East Growth56.2%
Old Mutual Asia Pacific54.7%
JPM Institutional Asia53.7%
...more in UT Asia Pacific Excluding Japan

Performance snapshot

Holdings snapshot

  • China21.9%
    Australia18.7%
    Korea15.4%
    Taiwan11.2%
    Hong Kong10%
  • Equities100%
  • Chinese Equities21.9%
    Australian Equities18.7%
    South Korean Equities15.4%
    Taiwanese Equities11.2%
    Hong Kong Equities10%

Fund also available on these pension platforms:

Performance vs Sector

Cumulative performance
 1 mth3 mth6 mth1 yr3 yr5 yr
Fund5.1%12.8%12.8%54.7%60%92%
Sector2.1%9.8%9%46.6%48.6%56.6%
Rank within sector------
Quartile
Calendar performance
 YTD - 20172016201520142013
Fund11.6%31%-3.9%12.6%9%
Sector8%27.3%-3.8%9.2%3.4%
Rank within sector-----
Quartile
Risk statistics
Alpha
?Alpha is a measure of a fund's over- or under-performance by comparison to its benchmark. If the Alpha is 5, the fund has outperformed its benchmark by 5%; so the greater the Alpha, the greater the outperformance.
1.5
Beta
?Beta estimates a fund's volatility by comparison to that of its benchmark. A fund with a beta close to 1 means that the fund will move generally in line with the benchmark. Higher than 1 and the fund is more volatile than the benchmark and vice versa.
1.09
Sharpe
?This commonly-used measure calculates the level of return over and above the return of a notional risk-free investment, such as cash. The difference in returns is then divided by the fund's volatility. The resulting ratio is an indication of the amount of excess return generated per unit of risk.
0.82
Volatility
?Volatility (or standard deviation), when applied to an investment fund, expresses its risk. It shows how widely a range of returns varied from the fund's average return over a particular period. For example, if a fund had an average return of 5%, and its volatility was 15, this would mean that the range of its returns over the period had swung between +20% and -10%.
15.21
Tracking error
?This measures the standard deviation of a fund's excess returns over the returns of an index or benchmark portfolio. As such, it can be an indication of 'riskiness' in the manager's investment style. A Tracking Error below 2 suggests a passive approach. At 3 and above the the manager will be deploying a more active investment style.
3.33
Information ratio
?This is a useful risk-adjusted measure of actively managed fund performance. It is calculated by deducting the returns of the fund's benchmark from the fund's overall returns, then dividing the result by its tracking error. The higher the Information Ratio the better. It is generally considered that a figure of 0.5 reflects a good performance, 0.75 very good, and 1.00 outstanding.
0.74
R-Squared
?An indication of how closely correlated a fund is to an index or a benchmark. Values for R-Squared range between 0 and 1, with 0 indicating no correlation at all and 1 showing a perfect match. Values upwards of 0.7 suggest that the fund's behaviour is increasingly linked to its benchmark.
0.96
Price movement
52 week high456.06
52 week low299.3
Current bid price455.72
Current offer price476.49
Current mid price-
Region
1China21.9%
2Australia18.7%
3Korea15.4%
4Taiwan11.2%
5Hong Kong10%
6India5.5%
7Indonesia3.8%
8Malaysia3.5%
9Singapore3.3%
Industry sector
1Equities100%
Asset type
1Chinese Equities21.9%
2Australian Equities18.7%
3South Korean Equities15.4%
4Taiwanese Equities11.2%
5Hong Kong Equities10%
6Indian Equities5.5%
7Indonesian Equities3.8%
8Malaysian Equities3.5%
9Singapore Equities3.3%
Individual holdings
1SAMSUNG ELECTRONICS CO3.6%
2TENCENT HLDGS LIMITED2.2%
3TAIWAN SEMICONDUCTOR MANUFACTURING2.1%
4INDUSTRIAL & COM BK CHNA2%
5CSL1.8%
6ALIBABA GROUP HLDG LTD1.7%
7BANK OF CHINA LTD1.7%
8ADARO ENERGY TBK1.3%
9VEDANTA LTD1.3%
Management
Fund manager group
Old Mutual
Fund manager company
Old Mutl Glbl Investors(UK)Ltd
Fund type
OEIC
Fund objective
To achieve long term capital growth through the active management of a diversified portfolio of securities. There will be no geographic or economic restrictions but principally, investment will be in securities traded on Asian and Australasian stock markets.
Benchmark
  • MSCI AC Asia Pacific ex Japan
Investment style
Growth
Investment method
Shares
Fund managers
NameSinceBiography
Amadeo Alentorn12/12/2011Amadeo Alentorn is a part of the Quantitative Strategies desk, where they run a variety of mandates, ranging from global equity market neutral hedge funds to regional long only equity funds. His current role mainly consists of managing the research team, and conducting research into new ideas and models. As part of his role he also get involved in portfolio management and client meetings. One great thing about our team is the close interaction between research, portfolio management and systems, which enables them to gain exposure to the entire quantitative investing life cycle, from idea generation to research, implementation and trading. Overall, it's a very enjoyable and stimulating work environment. He joined OMAM in 2005, while finishing his PhD in Computational Finance at CCFEA, in the University of Essex. Coming from an academic background, one aspect that attracted him to OMAM's Quantitative Strategies team was its rigorous approach to research and the close links with academia, which gives him the opportunity to work alongside some of the top professors in finance. Prior to his career at OMAM, he collaborated with the Bank of England in several research projects, and worked for four years in software development. He have a BEng in Robotics from the University of Plymouth and an MSc in Computer Science from the University of Essex.
Ian Heslop12/12/2011Ian became the manager of Global Technology at Old Mutual Asset Managers (OMAM) in January 2002. Prior to this he was US Technology and Biotechnology Fund Manager at Gerrard. He joined the company in 2000 from Barclays Global Investors where he was UK Quantitative Fund Manager. Ian has a degree in Chemistry from Oxford University and a Ph.D. in Medicinal Chemistry from Edinburgh University.
Mike Servent12/12/2011Mike joined the Global Equity team at Old Mutual Global Investors in November 2004. He is a fund manager, and as Head of Systems is responsible for maintaining the investment platform and systems employed by the team. Prior to joining Old Mutual Global Investors, he was a senior consultant at Barra International, specialising in the implementation of multi-asset class risk systems. Prior to this he spent five years with COR Risk Solutions, developing financial modelling software. Mike has over 14 years of experience in the industry.
Compliance
IA Recognised, UCITS V Compliant
Domicile
No data available.
Fund for sale in
United Kingdom
Old Mutual Asia Pacific A Acc
Initial charge4%
Annual charge1.5%
Min single investment£1,000
Min regular saving£500
Available in ISANo
Ongoing charge (OCF)1.75%
Total expense ratio (TER)2.11%
Bid price455.72
Offer price476.49
Mid price-
CurrencyGBX
Price updated20/02/2017
TypeAccumulation
Institutional or retail classRetail
Domicile-
Citi codeA3C8
Old Mutual Asia Pacific P Acc
Initial charge4%
Annual charge1%
Min single investment£1,000
Min regular saving£500
Available in ISANo
Ongoing charge (OCF)1.25%
Total expense ratio (TER)1.63%
Bid price157.35
Offer price164.52
Mid price-
CurrencyGBX
Price updated20/02/2017
TypeAccumulation
Institutional or retail classRetail
Domicile-
Citi codeA3C9
Old Mutual Asia Pacific R Acc
Initial charge-
Annual charge0.75%
Min single investment£5,000,000
Min regular saving£150,000
Available in ISANo
Ongoing charge (OCF)1%
Total expense ratio (TER)1.38%
Bid price187.38
Offer price188.39
Mid price-
CurrencyGBX
Price updated20/02/2017
TypeAccumulation
Institutional or retail classInstitutional
Domicile-
Citi codeA3D0
Old Mutual Asia Pacific U1 Acc
Initial charge-
Annual charge0.68%
Min single investment£75,000,000
Min regular saving£500,000
Available in ISANo
Ongoing charge (OCF)0.93%
Total expense ratio (TER)-
Bid price152.13
Offer price152.95
Mid price-
CurrencyGBX
Price updated20/02/2017
TypeAccumulation
Institutional or retail classInstitutional
Domicile-
Citi codeJMUO
Old Mutual Asia Pacific U2 Acc
Initial charge-
Annual charge0.6%
Min single investment£250,000,000
Min regular saving£1,000,000
Available in ISANo
Ongoing charge (OCF)0.85%
Total expense ratio (TER)1.21%
Bid price163.74
Offer price164.62
Mid price-
CurrencyGBX
Price updated20/02/2017
TypeAccumulation
Institutional or retail classInstitutional
Domicile-
Citi codeJMUP
Data provided by

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