the current risk landscape - cfa montreal€¦ · • equity risk fell from february through...
TRANSCRIPT
The Current Risk Landscape
Axioma Insight Findings
Melissa R. Brown, CFA
About Axioma
2
• Axioma provides portfolio construction, risk modeling and performance attribution tools to asset managers and asset owners
• We use risk data to assess and explain the environment in which managers are investing
• Today we will discuss some of the findings and insights about the market landscape from our risk models
• First, a quick review of the nature of the risk models
© Copyright, Axioma, Inc. 2015. All rights reserved
Risk
Risk (Financial)
Expected volatility (of a market, portfolio, etc.) over a predefined investment horizon
Risk Management
“The process of identification, analysis and either acceptance or mitigation of uncertainty in investment decision-making”
Investopedia
© Copyright, Axioma, Inc. 2015. All rights reserved 3
Axioma Risk Models
• Axioma’s standard product includes 4 risk models per region
• By horizon
– Short horizon: 1 to 2 month forecast
– Medium horizon: 3 to 6 month forecast
• By factor structure
– Fundamental: uses predefined set of factors, such as country, industry, currency, style
– Statistical: “lets the data speak”
• Models are provided for 14 countries/regions/global
• In addition, there is a macroeconomic model for the US
• Underlying each model is a set of volatilities and correlations, so we can “peel the onion” and see what is driving market risk
– Major components: Market, Industry, Style, Country, Currency, Stock Specific
© Copyright, Axioma, Inc. 2015. All rights reserved4
2014 Review
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• Equity risk fell from February through mid-September 2014 in most regions, but then staged a sudden and substantial turnaround Risk was up across the board The biggest increases were in China and Japan
• Aggregate country, currency, style, industry and market risk all rose
• Almost all countries saw big volatility increases The differences between countries’ risk grew larger Canada saw the biggest increase of any developed country
• Most individual currencies saw risk increase as well
• Correlations remained low, but increased from recent bottoms Higher asset correlations had a large impact on risk
• Emerging market risk remained low relative to developed market
• US small cap risk relative to large-cap peaked in July, then tumbled
• Energy risk soared, even as weight fell
• The increase in risk has abated, but has not reversed appreciably Currency risk continued to increase Market and country risk have flattened
• Risk up sharply in most developed currencies, mixed for emerging CAD increase relative to USD second only to CHF
• Small-cap relative to large-cap risk still low
• Emerging relative to developed still low
• Energy risk remains elevated, although it has leveled off
• Asset dispersion has increased – good for stock pickers!
• Canada’s factor performance has been different from other markets
• Understanding the changing components of risk is quite important for asset managers!
2015 Themes
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*FTSE Europe minus FTSE Eurobloc**FTSE Developed Europe minus FTSE Eurobloc***Portugal, Italy, Ireland, Greece and Spain from FTSE EuroblocSource: FTSE, Russell Investments, Standard & Poor's, China Securities Index Company, Ltd, Axioma Inc.
Risk, Up Sharply in Q4, Down Slightly YTD
© Copyright, Axioma, Inc. 2015. All rights reserved
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0
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-All
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North America Europe Asia-Pacific Global
Short-Horizon Predicted Volatility
31-Dec-13
*FTSE Europe minus FTSE Eurobloc**FTSE Developed Europe minus FTSE Eurobloc***Portugal, Italy, Ireland, Greece and Spain from FTSE EuroblocSource: FTSE, Russell Investments, Standard & Poor's, China Securities Index Company, Ltd, Axioma Inc.
Risk, Up Sharply in Q4, Down Slightly YTD
© Copyright, Axioma, Inc. 2015. All rights reserved
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-All
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North America Europe Asia-Pacific Global
Short-Horizon Predicted Volatility
30-Sep-14 31-Dec-13
*FTSE Europe minus FTSE Eurobloc**FTSE Developed Europe minus FTSE Eurobloc***Portugal, Italy, Ireland, Greece and Spain from FTSE EuroblocSource: FTSE, Russell Investments, Standard & Poor's, China Securities Index Company, Ltd, Axioma Inc.
Risk, Up Sharply in Q4, Down Slightly YTD
© Copyright, Axioma, Inc. 2015. All rights reserved
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-All
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North America Europe Asia-Pacific Global
Short-Horizon Predicted Volatility
31-Dec-14 30-Sep-14 31-Dec-13
*FTSE Europe minus FTSE Eurobloc**FTSE Developed Europe minus FTSE Eurobloc***Portugal, Italy, Ireland, Greece and Spain from FTSE EuroblocSource: FTSE, Russell Investments, Standard & Poor's, China Securities Index Company, Ltd, Axioma Inc.
Risk, Up Sharply in Q4, Down Slightly YTD
© Copyright, Axioma, Inc. 2015. All rights reserved
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0
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Jap
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Dev
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-All
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North America Europe Asia-Pacific Global
Short-Horizon Predicted Volatility
27-Feb-15 31-Dec-14 30-Sep-14 31-Dec-13
Source: FTSE, Russell Investments, Standard & Poor’s, China Securities Index Co., Axioma Inc.
The Increase Has Leveled Off – But In General Hasn’t Reversed
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11
Short-Horizon Fundamental Risk Forecast
7%
9%
11%
13%
15%
17%
19%
21%
Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec JanRussell 1000 Russell 2000
FTSE Developed Europe TSX Composite
8%
13%
18%
23%
28%
33%
Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan
FTSE Japan CSI 300 FTSE APxJP ASX 200
8%
9%
10%
11%
12%
13%
14%
15%
16%
17%
Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan
FTSE Global Developed FTSE Emerging
Small Cap Risk Has Stayed Unusually Low Relative to Large Cap
© Copyright, Axioma, Inc. 2015. All rights reserved
12Source: Russell Investments, Axioma Inc.
0.9
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
2007 2008 2009 2010 2011 2012 2013 2014 2015
Russell 2000 vs. Russell 1000 Risk
© Copyright, Axioma, Inc. 2015. All rights reserved
Developed Markets: SH Currency Risk Doubled From September to December
13Source: FTSE, Axioma, Inc.
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
5.0%
5.5%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
12.0%
13.0%
Jan Mar May Jul Sep Nov Jan
Short Horizon
Market-SH (Left)
Country-SH (Right)
Currency-SH (Right)
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
12.0%
Jan Mar May Jul Sep Nov Jan
Medium Horizon
Market-MH (Left)
Country-MH (Right)
Currency-MH (Right)
Currency Risk Up Across-the-Board So Far This YearCAD Increase Quite High
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14Source: Axioma, Inc.
Developed Market Currency Volatility (vs. USD)
As of March 3, 2015
-30%
-20%
-10%
0%
10%
20%
30%
40%
CHF CAD NOK GBP SEK AUD NZD DKK EUR SGD JPY
Change in Risk
Q1 2015 To Date
2014
0%
2%
4%
6%
8%
10%
12%
CHF CAD NOK GBP SEK AUD NZD DKK EUR SGD JPY
Risk Level
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
Canada’s Country Risk Remains Relatively Low
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15Source: Axioma, Inc.
Extra-Market Country Risk Level: Developed
As of March 3, 2015
Many Countries Have Seen Risk SoarCanada Has Had The Biggest Increase of All
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16Source: Axioma, Inc.
Change in Extra-Market Country Volatility: Developed
Through March 3, 2015
-40%
-20%
0%
20%
40%
60%
80%
100%
Q1 2015 To Date 2014
-10%
90%
190%
290%
Switzerland
Bonds Haven’t Reacted to Equity UncertaintyPotential central bank action is probably a bigger force
© Copyright, Axioma, Inc. 2015. All rights reserved17
Source: Markit, Axioma, Inc.
-1%
0%
1%
2%
3%
4%
5%
6%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Sovereign Yields
US Germany UK Netherlands France
Ireland Italy Spain Portugal Canada
CDS Spreads Point to Higher Investor Confidence
© Copyright, Axioma, Inc. 2015. All rights reserved 18
Source: Markit, Axioma, Inc.
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Germany France Netherlands Spain Ireland Italy Portugal UK
EM Market, Country and Currency Risk Have Risen As Well…but less than DM
© Copyright, Axioma, Inc. 2015. All rights reserved 19Source: FTSE, Axioma, Inc.
FTSE Emerging Markets Index
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
5.0%
5.5%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
12.0%
13.0%
Jan Mar May Jul Sep Nov Jan
Short Horizon
Market-SH (Left)Country-SH (Right)Currency-SH (Right)
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
12.0%
Jan Mar May Jul Sep Nov Jan
Medium Horizon
Market-MH (Left)Country-MH (Right)Currency-MH (Right)
0%
5%
10%
15%
20%
25%
30%
35%
40%
RUB BRL ZAR TRY MXN IDR INR THB TWD CNY
As of March 3, 2015
Big Difference in Currency Volatility Changes Last Year
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Source: Axioma, Inc.
Change in Emerging Currency Volatility (vs. USD)
-60%
-40%
-20%
0%
20%
40%
60%
ZAR TRY CNY MXN INR BRL IDR THB
Q1 2015
2014
-30%
170%
370%
570%
770%
OMR UAH RUB
Russia and Oman are the Most Volatile
© Copyright, Axioma, Inc. 2015. All rights reserved 21
Source: Axioma, Inc.
Extra-Market Country Risk: Emerging
As of March 3, 2015
0%
5%
10%
15%
20%
25%
30%
35%
Many Reversals in Country Volatility from Last Year
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Source: Axioma, Inc.
Change in Extra-Market Country Volatility: Emerging
Through March 3, 2015
-60%
-40%
-20%
0%
20%
40%
60%
80%
100%
120%
140%
2014
Q1 2015
-20%
80%
180%
280%
Oman Ukraine
Most EM Sovereigns Have Been Relatively Flat…but Russia stands out
© Copyright, Axioma, Inc. 2015. All rights reserved
Source: Markit, Axioma, Inc.
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Sovereign Yields
China Malaysia Mexico Brazil Indonesia
Russia South Africa India Turkey
Source: Markit, Axioma, Inc.
Russia Stands Out on CDS as Well
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0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Brazil Malaysia China Indonesia South Africa Mexico Russia
EM Risk Still Low Relative to DM
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25Source: FTSE, Axioma Inc.
Emerging vs. Developed Medium-Horizon Risk
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2007 2008 2009 2010 2011 2012 2013 2014 2015
EM Risk/Reward
© Copyright, Axioma, Inc. 2015. All rights reserved 26
-20%
-10%
0%
10%
20%
30%
40%
0% 10% 20% 30% 40%
September 30, 2014
Developed Emerging
-20%
-10%
0%
10%
20%
30%
40%
0% 10% 20% 30% 40%
February 27, 2015
Developed Emerging
Currency Correlations Have Trended Down Since Late 2012
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Source: Axioma, Inc.
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Worldwide Model Median Factor Correlations
Style Country Industry Currency
0
10
20
30
40
50
60
70
80
90
100
2007 2008 2009 2010 2011 2012 2013 2014 2015
VIX VIX Average VSTOXX VSTOXX Average
VIX and VSTOXX:
© Copyright, Axioma, Inc. 2015. All rights reserved 28
Average since 1999Source: Yahoo! Finance, STOXX, Axioma Inc.
0
5
10
15
20
25
30
35
Jan Feb Mar
Source: FTSE, Russell Investments, China Securities Index Company Ltd., Axioma Inc.
Although Still Low, Asset Correlations Increased in Q4
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Median 60-day realized asset-asset correlation
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
2000 2002 2004 2006 2008 2010 2012 2014
Russell 1000 Russell 2000 TSX Composite
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
2000 2002 2004 2006 2008 2010 2012 2014
FTSE Developed Europe FTSE Asia ex-Japan
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
2000 2002 2004 2006 2008 2010 2012 2014
FTSE Japan CSI 300
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
2000 2002 2004 2006 2008 2010 2012 2014
FTSE Developed FTSE Emerging
Source: FTSE, Russell Investments, Standard & Poor's, China
Securities Index Company, Ltd, Axioma Inc.
Asset Dispersion Is Has RisenStyle Dispersion Generally Did Not
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0%
1%
1%
2%
2%
3%
3%
US Europe Asia ex-Japan Japan China Australia Worldwide Emerging
Average Style Factor Dispersion
Jan-Feb 2015 Q4 2014 2014 Long-Term
0%
2%
4%
6%
8%
10%
12%
14%
16%
Russell 1000 Russell 2000 TSXComposite
FTSEDeveloped
Europe
FTSE Asia ex-Japan
FTSE Japan CSI 300 ASX 200 FTSEDeveloped
FTSEEmerging
Average Monthly Asset Dispersion
Jan-Feb 2015 Q4 2014 2014 Long-Term
Source: Axioma Inc.
Factor Performance: Momentum Stumbled Badly in FebruaryValue Has Fallen Far Short in Canada, Especially in Q4
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-4
-2
0
2
4
6
8
10
Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Momentum
US EU AP JP AU CA
-8
-6
-4
-2
0
2
4
6
Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Value
US EU AP JP AU CA
Source: Axioma Inc.
Factor Performance: Growth and Leverage Stood out in Canada
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-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Leverage
US EU AP JP AU CA
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
6.0
Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Growth
US EU AP JP AU CA
Source: Axioma Inc.
Factor Performance: Low Volatility Has Worked Well Globally; Liquidity Had A Wild Ride in Canada
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-14
-12
-10
-8
-6
-4
-2
0
2
Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Volatility
US EU AP JP AU CA
-5
-4
-3
-2
-1
0
1
2
3
Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Liquidity
US EU AP JP AU CA
ENERGY
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Energy’s Risk Has Risen Substantially Since May
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Source: Federal Reserve Bank of St. Louis, Axioma, Inc.
0
20
40
60
80
100
120
140
160
0.0
0.5
1.0
1.5
2.0
2.5
3.0
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014
Risk: Energy/Russell 1000 (Left)
WTI Oil Price (Right)
Energy’s % of Risk Continued to Exceed Its Benchmark Weight
© Copyright, Axioma, Inc. 2015. All rights reserved
36Source: Russell Investments, Axioma, Inc.
7.0%
7.5%
8.0%
8.5%
9.0%
9.5%
10.0%
10.5%
11.0%
Jan Mar May Jul Sep Nov Jan
Russell 1000
Weight Percent of Risk
Energy Weight Vs. Percent of Risk
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
Jan Mar May Jul Sep Nov Jan Mar
TSX Composite:Energy Weight Vs. Percent of Risk
Weight Percent of Risk
Risk for Energy-Related Industries In Most Regions Has Leveled Off
© Copyright, Axioma, Inc. 2015. All rights reserved37Source: Axioma, Inc.
Oil-Related Industry Extra-Market Risk
0%
5%
10%
15%
20%
25%
30%
35%
Jan Mar May Jul Sep Nov Jan Mar
US:Energy Equipment & Services
US:Oil, Gas & Consumable Fuels
CA:Energy
EU:Energy
0%
5%
10%
15%
20%
25%
30%
35%
Jan Mar May Jul Sep Nov Jan Mar
AP:EnergyJP:EnergyAU:EnergyCN:Energy ex Coal
Oil and Energy Have Seen The Biggest Changes In Correlations
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Change in US3 MH Factor Correlation, May 31, 2014 – March 3, 2015
Daily Risk Monitors
• We provide daily risk monitors for
– US
– Canada
– Europe
– Asia-Pacific ex-Japan
– Japan
– China
– Australia
– Taiwan
– Emerging Markets
– Global Developed
• Look on www.axioma.com for daily updates of this data
• Sign up to get a weekly reminder about the reports
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Summary: Major Findings
• Risk rose last year, in some cases doubling from low levels reached last fall.
– Markets have been calmer this year, and risk changes have been much smaller
• Increases in volatility were driven by a number of factors
– Will economies slow in in Europe, China, Japan?
– Will euro be broken up?
– Will oil continue to tumble?
– Will we see deflation, especially in Europe?
– Etc.
• For a global benchmark market, country and currency risk all rose last year, and remain elevated
– The stronger US dollar meant volatility of most currencies relative to USD increased sharply in Q4, and into this year
– Despite the widespread increases currency correlations actually fell
– Individual country volatility changes were mixed but some rose substantially
• Momentum had some very difficult days in February, especially in the US, Canada and Europe.
– Returns have settled down since then.
– Canada has seen streaks of unusually good or bad performance (sometimes both) in Value, Leverage, Growth, and Liquidity
© Copyright, Axioma, Inc. 2015. All rights reserved 40
Summary: Major Findings
• In the US, after a peak in relative volatility in July, small-cap stocks have fallen to low volatility levels relative to large-cap.
• Emerging market risk stayed low relative to developed.
• Canada’s risk has risen quite a bit relative to that in other markets
• Energy stock risk experienced a sudden and steep increase, and energy correlations with other factors have changed substantially.
• Bond yields and CDS spreads generally remained stable or fell
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Summary: Implications for Portfolio Managers
• 2014 was a tough year for active management. A low-risk environment may have truncated opportunities.
• Flip-flopping factor performance meant a difficult environment for factor-based managers as well.
• While volatility has gone up since the fall, driving risk up, the impact of asset correlations has also been surprisingly high in some regions.
• Correlations (especially currency and style factor) have changed substantially in many markets.
• Factor volatility rose in many cases (but remains low relative to longer history).
• Changes in the components of risk (correlations, volatility, and specific factors like energy, emerging vs. developed, and currency markets) suggest it may be a good time for portfolio managers to reevaluate their portfolios’ sources of risk.
• Increasing differentiation in risk – and potential reward – may be good for active managers who are able to effectively sort the winners from the losers. Scaling bets appropriately, as always, will be key.
© Copyright, Axioma, Inc. 2015. All rights reserved 42
For more information on any of these slides or any of Axioma’sother offerings, please contact your account representative or [email protected]
I can also be reached at [email protected] or 212-991-4507
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