35
1 Jan G. Loeys is Chief Investment Strategist for J.P. Morgan. He works from New York and writes and edits J.P. Morgan’s Global Asset Allocation, The J.P. Morgan View, and Investment Strategies. Mr. Loeys joined J.P. Morgan in New York in 1986 where he worked in International Economics and in Markets Research. Between 1992 and 2010, he worked from London as Chief Bond Strategist and then as Head of Markets Research. Prior to his arrival at J.P. Morgan, Mr. Loeys was Senior Economist at the Federal Reserve Bank of Philadelphia. He has taught finance and economics at UCLA, the Wharton School, NYU, and Fordham University. Mr. Loeys received a Lic. in Economics and Bac. in Philosophy from the Katholieke Universiteit te Leuven (Belgium) in 1975 and a Ph.D. in Economics from UCLA in 1982. Jan G. Loeys [email protected] (1-212) 834-5874 D E C E M B E R 2016 Global Investment Strategy See the end pages of this presentation for important disclosures

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Jan G. Loeys is Chief Investment Strategist for J.P. Morgan. He works from New York and writes and edits

J.P. Morgan’s Global Asset Allocation, The J.P. Morgan View, and Investment Strategies.

Mr. Loeys joined J.P. Morgan in New York in 1986 where he worked in International Economics and in

Markets Research. Between 1992 and 2010, he worked from London as Chief Bond Strategist and then as

Head of Markets Research. Prior to his arrival at J.P. Morgan, Mr. Loeys was Senior Economist at the

Federal Reserve Bank of Philadelphia. He has taught finance and economics at UCLA, the Wharton School,

NYU, and Fordham University.

Mr. Loeys received a Lic. in Economics and Bac. in Philosophy from the Katholieke Universiteit te Leuven

(Belgium) in 1975 and a Ph.D. in Economics from UCLA in 1982.

Jan G. Loeys

[email protected]

(1-212) 834-5874

D E C E M B E R 2016

Global Investment Strategy

See the end pages of this presentation for important disclosures

2

Trump Trade joins the Growth Trade

Source: J.P. Morgan, GAA, Nov 30, 2016

Allocation Direction Country Sector

Asset

allocation

OW EQ, CR,

CO;

UW Bonds,

Cash

US vs. EM Banks, Energy

Equities 15% Long and OW US vs. EMEnergy, Banks,

Cyclicals

Bonds - 17%UW.

Short durationNZ, Periphery Inflation linked

Credit +5%OW

vs BondsUSD

HY, Loans, Financials,

UW EM

FX Long USD Short EM

Comd’s +2% OW

OW Energy,

Industrials, Ag. vs.

Precious

Cash -5% UW

The Growth Strategy is growing This means equities, cyclicals, energy, commodities, credit, and inflation-linked bonds, while UW Bonds, duration and Gold. Global growth entered the top of the trading ranges in Q3. Global profits have started to rise.

The Trump Trade joins in Part I means tax cuts and reform. This boosts after-tax earnings, even without a stronger economy, and thus boosts our Equity OW. Foreign profit repatriation reduces the need for US companies to issue debt. US HG net issuance to fall by ¼ in 2017.

Part II is America First Threats of tariffs on China/Mexico create down side risk on EM, upside on the dollar. We are UW EM across asset classes, but see this as tactical and a hedge. Trade tensions could escalate or defuse rapidly and we are ready to get back into EM if trade tensions fade.

Bonds are in overshooting mode US bond yields are up 60bp since Nov 8, despite only minimal changes to forecasts for growth, the Fed, inflation, and the US deficit. Markets are pricing the worst. Technically, bonds are oversold. But economic and price momentum and an unfinished rotation back into stocks keep us with a small short duration.

Global Asset Allocation We are now 15% OW Equities (up from +5%), stay +5% Credit, add CO to +2%, and reverse Cash to -5% UW. Bonds are UW a large -17%.

Investment Themes

3

Growth Trade Trump Trade

Source: J.P. Morgan

• Long Equities vs cash, Bonds• Cyclicals, Banks

• OW Credit vs Bonds• Financials

• OW Commodities• Industrial, Ag, Oil• OW/short precious

• Short Bonds, Duration• OW Inflation linked

• Bond – equity correlation turns negative

• Be long volatility and cash.

• America First• OW US in Equities, Credit, USD• UW multinationals and EM. OW

small caps. Country selection becomes more important.

• Tax cuts benefit after-tax earnings before economy: Long Equities

• Trade and be ready to deploy cash or take profits on extreme moves

• Fiscal easing Short duration. UW Bonds. OW Banks.

Global long-only portfolio Allocation

4

Active Weights ∆

Equities 15%

Bonds -17%

Credit 5%

Commodities 2%

Cash -5%

Major Sectors within each Asset Class Active Weights ∆ vs. US Benchmark

Equities Countries US 7.5% US Sectors Financials 2.5%

Europe ex-UK 0.0% Energy 2.5%

Japan 0.0% Healthcare 2.5%

UK 0.0% Consumer Staples -2.5%

EM -7.5% Other -5.0%

Other 0.0% vs. Benchmark

Bonds Countries US -5.6% Note Yield (bp) +6

Linkers 3.4% Dur (months) -0.7

Europe Core -2.5% Inflation-linked vs Nominal 3.4%

Europe Periphery 2.7% Periphery vs Core 2.7%

Japan 0.0% Australia vs US 2.0%

UK 0.0%

EM Local 0.0%

MBS 0.0%

Other 2.0% vs. Benchmark

Credit HG US -0.5% Note Yield (bp) +19

Europe -2.0% Duration (months) -2.4

UK -3.0% US vs Europe 6.0%

HY US 2.5% HY vs HG 7.5%

Europe 1.0%

US Loans 6.0%

EM Sovereigns -2.0%

Corporates -2.0%

Commodities Energy 10%

Industrial metals 5%

Agriculture 5%

Precious metals -20%

Livestock 0%

Major Asset Classes UW | OW

UW | OW UW | OW

Source: J.P. Morgan, GAA, Nov 30, 2016

VaR size

OVERALL 119

FIXED INCOME 37

Long 5Y US breakevens 15

5Y NZ vs. US 12

5Y Spain vs. Germany 10

10Y USD vs. NOK swaps (cross-market rules) 8

10Y NZD vs. EUR swaps (cross-market rules) 8

Short GBI Global (FX-hedged) (duration rule) 6

EQUITIES 44

Long US Banks vs. S&P500 15

World Cyclicals vs. Defensives (PMI) 15

US Small Cap vs. Large Cap 15

US vs. EM 15

Long US Energy vs. S&P500 10

Long US Healthcare vs. Staples 10

UK vs. South Africa (FX signal) 2

Sweden vs. Australia (PMI signal) 2

Euro area vs. South Africa (CF signal) 2

CREDIT 29

US HY Loan vs. Cash 15

US HY vs. UST 10

US HG vs. UST 10

US HG vs. EMBIGD 8

US HG Financials vs. Non-Financials 8

US HG vs. CEMBI 6

Long Euro HY vs. Swaps 6

iTraxx Senior Financials vs. iTraxx Main 6

iTraxx Main vs. Euro HG 6

CDX.IG vs. iTraxx Main 6

Global long-short portfolio VaR in bp, annualized

5

HEDGES 20

Short EMCI 20

COMMODITIES 18

Long LME Mar'17 Zinc 8

Long ICE Mar'17 Brent vs. Dec'17 Brent 8

Long ICE Dec'17 #2 Cotton 8

Long ICE Dec'17 Brent vs. Dec'17 WTI 6

Short UK NBP NG Summer'17 Strip vs. NYMEX NG

Summer'17 Strip 6

Long CBOT Jul'17 Kansas Wheat vs. Chicago Wheat 6

CROSS ASSET 45

MSCI AC World vs. GBI Global 45

FX 23

NOK vs. CAD 14

ARS vs. USD 10

CHF vs. EUR 9

USD vs. KRW 7

CZK vs. EUR 2

Short GBP/USD via long 2-mo 1.20-1.15 put spread,

short 1.27 call 3

Short 1-mo CHF/JPY straddle (108 strike) 3

Buy 6-mo NZD put/SEK call, strike of 6.10 2

Source: J.P. Morgan, GAA, Nov 30, 2016

Little wage gains despite tighter jobs and weak productivity

6

-20

-10

0

10

20

30

40

50

-1

0

1

2

3

01 03 05 07 09 11 13 15

%oya; both scales

Productivity and profit margin, DM

Source: J.P. Morgan

Profit margin

Productivity

-1.5

0.0

1.5

3.0

4.5

6.0

02 04 06 08 10 12 14 16

%oya; estimated as real GDP growth less empl. growth

Labor productivity

Emerging

Developed

Source: J.P. Morgan; Excludes China, India.

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

3 4 5 6 7 8 9 10

Unemployment rate at beginning of year

ECI growth, %oya

Source: BLS, J.P. Morgan

3.25% = 2% inflation

NAIRU

Most recent observations

Global equities EPS, P/E multiple, US equity quality

7

MSCI AC World 12-month trailing EPSUSD

Source: J.P. Morgan, MSCI, as of Nov 30.

MSCI AC World 12-month trailing P/E multipleRatio

US Equity QualityRed line is equity quality, measured as difference between reported earnings and operating earnings, as a percentage of reported earnings. Blue line is historical average since Dec 1988.

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

20%

25%

88 91 94 97 00 03 06 09 12 15

8

10

12

14

16

18

20

22

24

26

28

01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16

9

11

13

15

17

19

21

23

25

27

29

01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16

S&P earnings (operating after 1991)

8

Cycle average and current cycleMeasures change in S&P500 12m trailing EPS throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Quarterly data since 1954.

Source: J.P. Morgan, Bloomberg, Thomson Financial and S&P, Last observation is 3Q’16.

S&P500 EPS during expansions and recessionsMeasures change in S&P500 12m trailing EPS throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Quarterly data since 1954.

54

58

6171

7583

91

01

09

-20%

20%

60%

100%

140%

180%

0% 20% 40% 60% 80% 100%

1954 1958 1961

1970 1975 1982

1991 2001 2009

-10%

10%

30%

50%

70%

90%

110%

130%

150%

0% 20% 40% 60% 80% 100%

Average

Current Cycle (9 years)

RecessionsExpansions

Near-term recession risk has fallen from 27% to 26%

9

8

10

12

14

16

18

70 75 80 85 90 95 00 05 10 15

% of corporate value added

Source: BEA, FRB

US domestic corporate profit margin

ex. BP oil settlement

Probabilities of US recession within 12 months from near-term indicators

Indicator Probability Current levelLevel at 50%

probability

Historical av erage unconditional probability 17%

Consumer sentiment 17% 65.3 59.2

Nonmanufacturing sentiment 18% 59.3 50.7

Manufacturing sentiment 11% 57.6 43.3

Residential building permits 17% 1236 1023

Auto sales 28% 17.8 15.5

Pay rolls 31% 176 22

Unemploy ment rate 31% 4.9 5.2

Initial claims 15% 252 289

Senior loan officer opinion surv ey 19% 7.4 16.0

Composite probability from near-term indicators 20%

Background risk from medium-term indicators 36%

Probability including background risk 26%

10

Scary capex fall has stabilized

-5

0

5

10

49.0

50.0

51.0

52.0

53.0

54.0

55.0

2014 2015 2016 2017

DI, sa

Global capex equipment proxies

%q/q, saar; incl Sep 16 est

* Model based on G-3 capital goods shipments and global ex China cap goods imports.Source: J.P. Morgan

Model *

Investment goods PMI

-8

-4

0

4

8

12

16

2010 2011 2012 2013 2014 2015 2016 2017

%q/q, saar and %oya

Global equipment capex, ex China

Source: J.P. Morgan

%q/q, saar

%oya

11

Inflation rise to lift profits, then business spending

-40

-20

0

20

40

60

2

3

4

5

6

7

8

9

98 01 04 07 10 13 16

%oya; both scales

Global nominal GDP and corporate profits

Sour ce: J.P. Mor gan; MSCI ear nings

Profits

Nominal GDP

1

2

3

4

5

6

10 11 12 13 14 15 16 17

%ch at annual rate over 1 quarter

Global real GDP

Source: J.P. Morgan

Trend-line since 2013

12

Stronger US nominal growth supports profits

Source: J.P. Morgan

US Nominal GDP and Earnings Growth%oya

US Inflation vs Earnings Growth and Multiples%oya, dots indicate average for inflation buckets of -2%-0%, 0%-2%, …,14%-16%

-40%

-20%

0%

20%

40%

60%

0%

3%

6%

9%

12%

15%

53 58 63 68 73 78 83 88 93 98 03 08 13

Operating EPSNominal GDP

y = -86.809x + 18.843R² = 0.3069

6

12

18

24

30

-2% 0% 2% 4% 6% 8% 10% 12% 14% 16%

Opera

ring P

/E

US Inflation %oya

-2

0

2

4

6

8

10

12

14

16

18

-2%

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

-2% 0% 2% 4% 6% 8% 10% 12% 14% 16%Inflation Bucket %oya

Average Operating EPS %oya

Average Operating P/E

P/E Multiple

EPS growth

y = 2.8005x - 1.4043R² = 0.2533

-40%

-20%

0%

20%

40%

60%

-5% 0% 5% 10%

Opera

ring E

PS G

row

th %

oya

US Real GDP Growth %oya

US equities peak 0-13 months before recession starts

13

Cycle average and current cycleY-axis is cumulative return throughout the cycle. The current cycle is assumed to last 9 years. We use monthly data since 1954.

S&P500 in expansions and recessionsY-axis is cumulative return throughout the cycle. The current cycle is assumed to last 9 years. We use monthly data since 1954.

% of expansion or recession completed % of expansion or recession completed

Source: J.P. Morgan, Bloomberg, Federal Reserve. Last observation is Nov 30.

54

58

61

70

75

80

82

91

01

09

-50%

0%

50%

100%

150%

200%

250%

300%

350%

400%

0% 20% 40% 60% 80% 100%

1954 1958 1961 19701975 1980 1982 19912001 2009

0%

20%

40%

60%

80%

100%

120%

140%

160%

0% 50% 100%

RecessionsExpansions

Current Cycle (9 years)

Average

Risk premium momentum: US risk premia vs cash are cyclical

14

Source: J.P. Morgan. IRRs are calculated as current yield, minus expected default or downgrade losses in the case of credit. The IRR for equities is earnings yield, based on trend earnings for operating earnings, plus the expected long-term rate of inflation. The x-axis is historical vol. The slope is calculated by applying a linear regression of the IRR of various assets against their historical vol that intersects through the cash yield. Last observation is Nov 30.

Last observation is Oct 2016.

Risk-return tradeoff line%. Monthly data since 1954. HG is US long maturity BBBs. USTs are the 10YR UST.

Slope of the risk-return trade-off line Monthly data since 1954. Red dots mark the start of each recession.

0

2

4

6

8

10

12

0.00 5.00 10.00 15.00

HG

USTs

Nov-16

IRR %

Historic vol %

Cash

Jun-11

S&P500

Mar 09

Jun-09

-0.1

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

53 59 65 71 77 83 89 95 01 07 13

US risk premia in expansions and recessions

15

Cycle average and current cycleMeasures change in term premium throughout the cycle with the beginning of expansions normalized to zero. For example, by the end of the average expansion, term premium will compress by about 30 basis points. We assume current cycle lasts 9 years. Monthly data since 1954.

Source: J.P. Morgan, Bloomberg, Federal Reserve. Last observation is Nov 30.

US risk premia during expansions and recessionsMeasures change in term premium throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Monthly data since 1954.

% of expansion or recession completed

5458

61

70

75

80

82

91

01

09

-0.60

-0.50

-0.40

-0.30

-0.20

-0.10

0.00

0.10

0.20

0.30

0.40

0% 20% 40% 60% 80% 100%

1954 1958 1961 19701975 1980 1982 19912001 2009

-0.40

-0.35

-0.30

-0.25

-0.20

-0.15

-0.10

-0.05

0.00

0.05

0% 50% 100%

RecessionsExpansions

Current Cycle (9 years)

Average

1616

Global US Euro area

Japan DMEM

Source: J.P. Morgan, Consensus Economics, Blue Chip. Last observation as of Nov 25

2016 GDP expectationsGDP estimates of JP Morgan and consensus with current JP Morgan estimates of potential growth. Consensus Economics forecasts for global growth are done using the same 5-year rolling USD GDP country/region weights that we use for our own global growth forecast.

2.4

2.6

2.8

3.0

3.2

3.4

3.6

Jan-15 Jul-15 Jan-16 Jul-16

Consensus

JPM

Potential

1.1

1.4

1.7

2.0

2.3

2.6

2.9

3.2

Jan-15 Jul-15 Jan-16 Jul-16

Consensus

JPM

Potential

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

Jan-15 Jul-15 Jan-16 Jul-16

Consensus

JPM

Potential

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

Jan-15 Jul-15 Jan-16 Jul-16

JPM

Consensus

Potential

3.8

4.0

4.2

4.4

4.6

4.8

5.0

5.2

5.4

Jan-15 Jul-15 Jan-16 Jul-16

JPMConsensus

Potential

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

Jan-15 Jul-15 Jan-16 Jul-16

JPM

Consensus

Potential

1717

Global US Euro area

Japan DMEM

Source: J.P. Morgan, Consensus Economics, Blue Chip. Last observation as of Nov 25

2017 GDP expectationsGDP estimates of JP Morgan and consensus with current JP Morgan estimates of potential growth. Consensus Economics forecasts for global growth are done using the same 5-year rolling USD GDP country/region weights that we use for our own global growth forecast.

2.5

2.7

2.9

3.1

3.3

Jan-16 Apr-16 Jul-16 Oct-16

Consensus

JPM

Potential

1.2

1.5

1.8

2.1

2.4

2.7

Jan-16 Apr-16 Jul-16 Oct-16

Consensus

JPM

Potential

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

Jan-16 Apr-16 Jul-16 Oct-16

Consensus

JPM

Potential

0.2

0.4

0.6

0.8

1.0

1.2

1.4

Jan-16 Apr-16 Jul-16 Oct-16

JPM

Consensus

Potential

4.4

4.5

4.6

4.7

4.8

4.9

Jan-16 Apr-16 Jul-16 Oct-16

JPM

Consensus

Potential

1.2

1.3

1.4

1.5

1.6

1.7

1.8

1.9

2.0

2.1

2.2

Jan-16 Apr-16 Jul-16 Oct-16

JPM

Consensus

Potential

18Source: J.P. Morgan. Last observation is Nov 25.

Forecast revision indices since 2013The FRI is cumulative weekly changes in GDP forecasts for the current Quarter (Q), Q-1, Q+1 and Q+2 made by J.P. Morgan economists. The beginning of every series is normalized to begin at zero.

Will higher bond yields drag equities down?

19

Bond-equity return correlationDM bonds, local for MSCI World, FX hedged for GBI, 3-month rolling of daily returns

Global bond and equity fund flows$bn per year of Net Sales – net new sales + reinvested dividends – for mutual funds and ETFs

Source: J.P. Morgan, MSCI, as of Nov 30 Source: Bloomberg, ICI, EFAMA, J.P. Morgan, as of Nov 25

-90%

-70%

-50%

-30%

-10%

10%

30%

50%

70%

90%

93 95 97 99 01 03 05 07 09 11 13 15

588

452

-210

219 225

1

82

580

478

402

-70

119100

-172

673

503

282

849

196

512

295

358

-300

0

300

600

900

06 07 08 09 10 11 12 13 14 15 16

Equity funds

Bond funds

YTD

20

Rising yields depress multiples only >9% or if +150bp q/q

Source: J.P. Morgan

Multiples and Bond Yield Multiples changes and how fast bond yield risesDots indicate average for quarterly change in bond yield buckets in increments of 50bp

0

5

10

15

20

25

30

35

0%

2%

4%

6%

8%

10%

12%

14%

16%

53 58 63 68 73 78 83 88 93 98 03 08 13

10Y UST YieldP/E Multiple

y = -64.807x + 19.628R² = 0.169

6

12

18

24

30

0% 2% 4% 6% 8% 10% 12% 14% 16%

Opera

ting P

/E

Bond Yield

y = -17.339x + 0.0343R² = 0.0053

-7

-6

-5

-4

-3

-2

-1

0

1

2

3

4

5

-3% -2% -1% 0% 1% 2% 3%

d(O

pera

ting P

/E)

d(Bond Yield)

-2

-1

0

1

2

-3% -2% -1% 0% 1% 2% 3%Change in Bond Yield Bucket

Average Change inOperating P/E

Change in P/E Mutiple

S&P P/E multiple (operating after 1991)

21

Cycle average and current cycleMeasures change in S&P500 trailing P/E ratio adjusted by using latest earnings known (e.g. Dec P/E uses Sep EPS, Jan-Mar P/E uses Dec EPS) throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Monthly data since 1954.

Source: J.P. Morgan, Bloomberg, Thomson Financial and S&P. Last observation is Nov 30.

S&P500 P/E during expansions and recessionsMeasures change in S&P500 trailing P/E ratio adjusted by using latest earnings known (e.g. Dec P/E uses Sep EPS, Jan-Mar P/E uses Dec EPS) throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Monthly data since 1954.

54

58

61

70

75

80

82

91

01

09

-12

-8

-4

0

4

8

12

16

0% 20% 40% 60% 80% 100%

1954 1958 1961 19701975 1980 1982 19912001 2009

-6.00

-4.00

-2.00

0.00

2.00

4.00

6.00

0% 50% 100%

Average

Current Cycle (9 years)

EM-DM equity returns in line with growth up/downgrades

22

EM-DM FRI and MSCI EM/World since 2002The FRI is Cumulative weekly changes in GDP forecasts for the current Quarter(Q), Q-1, Q+1 and Q+2 made by J.P. Morgan economists.

Source: J.P. Morgan. Last obs. is Nov 30.

EM-DM FRI and MSCI EM/World since 2011The FRI is Cumulative weekly changes in GDP forecasts for the current Quarter(Q), Q-1, Q+1 and Q+2 made by J.P. Morgan economists.

0.5

0.6

0.7

0.8

0.9

1.0

1.1

-3.0

-2.5

-2.0

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

Feb-11 Feb-12 Feb-13 Feb-14 Feb-15 Feb-16

EM FRI - DM FRI

MSCI EM/World

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

2.8

-2.0

-1.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Feb-02 Feb-04 Feb-06 Feb-08 Feb-10 Feb-12 Feb-14 Feb-16

EM FRI - DM FRI

MSCI EM/World

US credit spreads

US High Grade Credit US High Yield Credit and default rates (rhs)

23

Source: J.P. Morgan, Barclays, as of Nov 30.

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

200

400

600

800

1000

1200

1400

1600

1800

2000

87 90 93 96 99 02 05 08 11 14

Last observation:

30-Nov-16

bp

0

50

100

150

200

250

300

350

400

450

500

550

600

73 77 81 85 89 93 97 01 05 09 13

bp

Last observation:

30-Nov-16

US credit spreads in expansions and recessions

24

Cycle average and current cyclePercent. Monthly data since 1954. Moody’s BAA corporate bond index. Spread to US 20YR yield.

US BBB spread to USTs expansions and recessionsPercent. Monthly data since 1954. Moody’s BAA corporate bond index. Spread to US 20YR yield.

% of expansion or recession completed% of expansion or recession completed

Source: J.P. Morgan, Federal Reserve, Moody’s. Last observation is Nov 30.

-150

-100

-50

0

50

100

0% 50% 100%

RecessionsExpansions

Current Cycle (9 years)

Average

54

58

61

70

75

80

82

91

01

09

-300

-200

-100

0

100

200

300

0% 20% 40% 60% 80% 100%

1954 1958 19611970 1975 19801982 1991 20012009

Worsening leverage and interest coverage

Source: Capital IQ and J.P. Morgan, as of 2Q16. Data based on the Non-Financial companies in JPMorgan’s HG bond index.

25

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

1Q00 1Q02 1Q04 1Q06 1Q08 1Q10 1Q12 1Q14 1Q16

Net Leverage

Net Leverage ex Commodities

7

8

9

10

11

12

13

14

15

1Q00 1Q02 1Q04 1Q06 1Q08 1Q10 1Q12 1Q14 1Q16

Interest Coverage

Interest Coverage ex Commodities

Systematic duration and cross-country signals

26Source: J.P. Morgan, GAA, Nov 30, 2016.

High income yields

27

Source: J.P. Morgan, Bloomberg, as of Nov 30

Yields across high income assets%

Yield-to-vol ratiosVol is measured by 1yr daily volatility.

3.16

5.10

3.07

4.74

2.38

1.21

0.29

6.50

3.92

6.91

1.27

3.96

3.16

5.91

5.255.27

0

1

2

3

4

5

6

7

8

US H

igh D

iv

Euro

pe H

igh D

iv

Japan H

igh D

iv

EM

Hig

h D

iv

US D

ura

tion

Euro

pe D

ura

tion

Japan D

ura

tion

EM

Dura

tion

US H

G

US H

Y

Euro

HG

Euro

HY

GBP H

G

EM

BIG

D

CEM

BI

EM

FX

0.250.23

0.14

0.25

0.56

0.12

0.02

0.64

1.01

1.21

0.54

1.06

0.52

1.08

1.80

0.66

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

US H

igh D

iv

Euro

pe H

igh D

iv

Japan H

igh D

iv

EM

Hig

h D

iv

US D

ura

tion

Euro

pe D

ura

tion

Japan D

ura

tion

EM

Dura

tion

US H

G

US H

Y

Euro

HG

Euro

HY

GBP H

G

EM

BIG

D

CEM

BI

EM

FX

US Growth FRI and multiple changes are correlated

28

Cycle average and current cycleMeasures change in US FRI throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Quarterly data since 1969. Last observation is Q3’16.

Source: J.P. Morgan, Federal Reserve Bank of Philadelphia. Last observation is Q3’16.

US FRI during expansions and recessionsMeasures change in US FRI throughout the cycle with the beginning of expansions normalized to zero. We assume current cycle lasts 9 years. Quarterly data since 1969. Last observation is Q3’16.

70

75

80

82

91

01

09

-14

-12

-10

-8

-6

-4

-2

0

2

4

6

8

10

12

0% 20% 40% 60% 80% 100%

1970 1975 19801982 1991 20012009

-4

-3

-2

-1

0

1

2

3

4

5

0% 50% 100%

RecessionsExpansions

Current Cycle (9 years)

Average

SPX trailing multiples: Negative serial correlation, but positive with GDP growth upgrades

29Source: J.P. Morgan, Bloomberg, Thomson Financial, S&P, Federal Reserve Bank of Philadelphia, US. Bureau of Labor Statistics

1954 1958 1961 1970 1975 1980 1982 1991 2001 2009 Average

Full cycle

Corr(P/E, FRI) 0.61 0.44 0.66 -0.39 0.85 0.43 -0.12 0.35

Corr(P/E, Productivity growth) 0.46 0.52 -0.70 -0.39 -0.65 0.53 0.49 0.86 -0.89 0.28 0.05

y = 0.4606x + 0.0536R² = 0.1114

-7

-5

-3

-1

1

3

5

7

-6 -4 -2 0 2 4 6

Change i

n P

/E

Change in FRI

30

Global growth volatility setting new lows

Source: J.P. Morgan

Global GDP growth volatility 3yr rolling standard deviation of %q/q, saar global GDP growth

0.4

0.8

1.2

1.6

2.0

2.4

2.8

3.2

3.6

70 75 80 85 90 95 00 05 10 15

GDP growth correlation between DM and EM3yr rolling correlation of %q/q, saar growth

-0.5

0.0

0.5

1.0

98 00 02 04 06 08 10 12 14 16

Global GDP correlations3yr rolling correlation of %q/q, saar growth

-1.0

-0.5

0.0

0.5

1.0

00 02 04 06 08 10 12 14 16

EMU - China

US - Japan

US - EMU

European and Japanese investors have a lot to catch up with US investors on equities

31

Equity allocations of US households %, sum of equities held directly or via mutual fund shares or via Defined

Contribution plans divided by total financial assets. Last obs. is Q2 ’16

Equity allocation of households%of financial assets. Excludes equities held via defined benefit pension plans.

Latest obs. is Q2’16 for US for Japan and Q1’16 for Euroarea.

Source: Fed, J.P. Morgan Source: Fed, ECB, BoJ, J.P. Morgan

10%

15%

20%

25%

30%

35%

40%

45%

52 62 72 82 92 02 12

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

97 99 01 03 05 07 09 11 13 15

Euro area

Japan

US

Equity – Bond - Cash of Global Investor, ex banks

32

Cash, equity and bond allocation of global non-bank investorsGlobal equities as % total holdings of equities/bonds/M2 by non-bank investors. Global M2 as % total holdings of equities/bonds/M2 by nonbank investors. Global bonds held by non-bank investors as % total holdings of equities/bonds/M2 by non-bank investors.

Box: Cash, equity and bond allocation for non-bank investors.

Cash: Global M2 reflects the cash balance of

nonbank

investors, such as households, corporations,

pension funds,

insurance companies and SWFs.

Bonds: Bond universe for non-bank investors

is the sum of the market value of global

bond indices, adjusted by excluding the

bonds held by central banks, FX reserve

managers and commercial banks.

Equities: Equity is market value of

DataStream world equity

index, which is mostly held by non-bank

investors.

Details in Flows & Liquidity dated Nov 14,

2016.

Source: J.P. Morgan.

10%

20%

30%

40%

50%

60%

99 01 03 05 07 09 11 13 15

Bonds Cash Equity

World financial markets

Source: J.P. Morgan, Barclays, MSCI, as of Oct 201633

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Disclosures