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For Professional Investors - November 4th 2015
The Asian Wealth Management Summit 2015Keynote Address
Ligia Torres - BNP Paribas Investment Partners - Head of APAC & Emerging Markets
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A barbell investor……
“ On average, I feel just fine” with Aggressive investments cushioned by cash
How to define the Private Wealth Investor (Asian or otherwise)?
(*) 2012; Source: Mckinsey Global Private Banking Survey 2013, Capturing the new generation of clients
3
All Looking for the Right Risk / Return Balance
Source: Alan Welner/AP
4
All Looking for the Right Risk / Return Balance
Source: Alan Welner/AP
Low Yields
RegulationLiquidity
Stock market performance
Demographics
Correlation
Commodities
Volatility
Market efficiency
Fiscal adjustments
5
Empirical View of Mutual Fund Flows in the 21st Century
2004-2007 2008-2011 2012-2015 YTD
Source: Lipper, BNPP IP, 28/09/2015
Goldilock Years
Global Financial Crisis &
Quantitative Easing (QE)
The New Normal
Money Market
Equities
Bonds
Others*
Asset Allocation
> €4tn
~0.9tn
> €3tn
(*) Commodities, Currencies, Derivatives,
Real Estate and Specialty Funds.
6
0
1
2
3
4
5
6
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
2004-2007 2008-2011 2012-2015 YTD
Asset Trends and Drivers – Bonds
Source: Lipper, Datastream, BNPP IP, 30/09/2015
Bond flows
BOFA ML Euro Government Index, Average Yield-to-Redemption
Main Drivers
• Low interest rates
• Regulation
• Liquidity
4.9%
3.9%
2.6%
0.5%
€441bn
€735bn
€1,072bn
Rates Decline
7
0
1
2
3
4
5
6
7
0
20,000
40,000
60,000
80,000
100,000
120,000
2004-2007 2008-2011 2012-2015 YTD
Asset Trends and Drivers – High Yield
Main Drivers
• Spreads
• Interest rates
• Economic growth
High Yield flows
Spread 10Y US BBB Corporate vs. 10Y US Government Yield
Source: Lipper, Datastream, BNPP IP, 30/09/2015
Spreads Down
€4bn
€85bn
€96bn
1.50%
6.70%
2.07%
2.74%3.08%
8
0
50
100
150
200
250
300
350
400
450
0.0
200000.0
400000.0
600000.0
800000.0
1000000.0
1200000.0
1400000.0
1600000.0
2004-2007 2008-2011 2012-2015 YTD
Asset Trends and Drivers – Equities
Main Drivers
• Stock market performance
• Herd behaviour
• Economic growth
Equity flows
MSCI AC World EUR
Source: Lipper, Datastream, BNPP IP, 30/09/2015
Markets up
€1,379bn
€55bn
€785bn
Markets up
Markets down
9
Asset Trends and Drivers – Thematic Funds
Main Drivers
• Less geographical boundaries
• Long term decorrelation to
traditional assets
Source: Lipper, Datastream, BNPP IP, 30/09/2015
0
50
100
150
200
250
300
350
400
450
0
50,000
100,000
150,000
200,000
250,000
2004-2007 2008-2011 2012-2015 YTD
Equity flows
MSCI AC World EUR
Markets upMarkets up
Markets down€169bn
€73bn
€228bn
10
Emerging Markets out of favor since 4 years………….Still becoming quite cheap!
Main Drivers
• Commodity run is over
• Granular view
• Speed of adaptation
Source: Lipper, Datastream, BNPP IP, 30/09/2015
0
1000
2000
3000
4000
5000
6000
7000
8000
-50,000
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
500,000
2004-2007 2008-2011 2012-2015 YTD
Emerging markets equity flows
S&P GSCI Commodity Total Return Index
€430bn
€165bn
-€4bn
Commodities up
Commodities down0.60
0.70
0.80
0.90
1.00
1.10
Oct-05 Apr-07 Oct-08 Apr-10 Oct-11 Apr-13 Oct-14
EM vs Developed Markets (DM) Fwd P/E
0.60
0.70
0.80
0.90
1.00
1.10
1.20
Oct-05 Apr-07 Oct-08 Apr-10 Oct-11 Apr-13 Oct-14
EM Asia vs Developed Markets (DM) Fwd P/E
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Asset Trends and Drivers – Multi-Asset Solutions
Main Drivers
• Regulations
• Low interest rates
• High volatility
Source: Lipper, Datastream, BNPP IP, 30/09/2015
0
1
2
3
4
5
6
2004-2007 2008-2011 2012-2015 YTD
MAS flows
BOFA ML Euro Government Index, Average Yield-to-Redemption
Rates Decline
4.9%
3.9%
2.6%
0.5%
€1,132bn
€107bn
€1,014bn
For illustrative purposes only
Source: BNP Paribas Investment Partners
1
2
Return
Risk
Improvement in overall risk-return trade-off through diversification
5%
6%
7%
8%
9%
10%
4% 6% 8% 10% 12% 14% 16% 18% 20%
12
1315 16
1315
18 1719
21
25 25
2%3%
4%
4%
5%
5% 5%
7%
7%
7%
9%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
0
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
30,000,000
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Aug-15
Main Drivers
• Low returns (fee sensitivity)
• Market efficiency and liquidity
Asset Trends and Drivers – Active vs. Passive
Sources: Datastream, Lipper, http://www.etfgi.com/, 01/10/2015
Global Exchange Traded Fund (ETF) AuMs
Global ETFs expressed as a percentage of Mutual Fund AuMs
Mutual Fund AuMs as per Lipper Data Base
AuMs in €tn
0.3
0.50.6
0.5
0.7
1.0 1.0
1.4
1.7
1.92.6
13
750,000
1,250,000
1,750,000
2,250,000
2,750,000
3,250,000
3,750,000
4,250,000
4,750,000
100
110
120
130
140
150
160
Fed QE1
Fed QE3
Fed QE2
Main Drivers
• Fed Easing
• Market inefficiencies
• Absolute return
Asset Trends and Drivers – Liquid Alternatives
Source: SS&C, Datastream, 01/10/2015
US Fed total assets
US Fed Quantitative Easing
Net cumulative Hedge Fund Flows as a % of AuM
146%
105%
150%
$0.9tn
$2.2tn
$2.9tn
$4.5tn
14
Alternatives: a Growing Segment fueled by High-Net-Worth Individuals
Source: McKinsey & Company – The Trillion-Dollar Convergence: Capturing the Next Wave of Growth in Alternative Investments
Pensions CorporatesInsur-ance SWF
Endowments & Foundations HNWI
TOTAL AuMs in $tn: ~2.0 ~0.7 ~0.6 ~0.4 ~0.9 ~2.6
Large
Mid-sized
Small
>10% 5-10% <5%
Net Flows, 2013-2017Segment’s projected
growth
2013 Alternatives AuM by Segment
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Asset Trends and Drivers
Thematic Funds
Main Drivers
• Less geographical boundaries
• Long term decorrelation to
traditional assets
Emerging Markets
Main Drivers
• Commodity run is over
• Granular view
• Speed of adaptation
Multi-Asset Solutions
Main Drivers
• Regulations
• Low interest rates
• High volatility
Active vs. Passive
Main Drivers
• Low returns (fee sensitivity)
• Market efficiency and liquidity
Liquid Alternatives
Main Drivers
• Fed easing
• Market inefficiencies
• Absolute return
Bonds
Main Drivers
• Low interest rates
• Regulation
• Liquidity
Equities
Main Drivers
• Stock market performance
• Herd behaviour
• Economic growth
High Yield
Main Drivers
• Spreads
• Interest rates
• Economic growth
?
?
? ?
Illiquid Alternatives
Main Drivers
• Regulations
• Volatility & inflation
• Demographics
16
A new kind of Barbell!
“Today’s
“Barbelling” is a
way of thinking
about risk
management with
the aim to control
losses while
providing levels of
exposure”
Active vs. Passive
Alternatives
Thematic Funds
Multi-Asset Solutions
17
…..but there is lot more that will influence our industry!
Ecology Technology Internet
Demography Commodities Big Data
• Climate change
• Water / Air / Wood / Soil
• Robotics
• Nano technologies
• Driverless cars
• Online shopping / Banking / Piracy
• Sharing / shared economy
• Digital globalization
• Predictive patterns
• Privacy
• Alternative energies
• Electric cars
• Insulation technology / nano technologies
• Live sciences / Longevity
• Generation X
• Millennials Y
• Silent Generation Z
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