Julex Capital Management, LLC, founded in 2012 and registered in Massachusetts, is an investment advisory firm dedicated to creating innovative outcome-oriented solutions for institutions and individuals. Julex is managed by industry veterans with strong academic and practical experience in portfolio management, asset allocation, risk management and quantitative research across asset management, hedge fund and insurance industries. Julex offers a variety of multi-asset, rule-based, and risk-managed total return strategies that are designed to deliver consistent returns with low volatility and drawdowns in both bull and bear markets. Julex believes that traditional benchmark-centric investment approach and other alternative investment strategies do not provide adequate downside protection to investors’ portfolios, as evidenced during the financial crisis of 2008. By actively managing the downside risks through Julex’s strategies, investors can not only fully enjoy the upside potentials the markets offer, but also avoid the painful losses that destroy wealth and confidence during market downturns. Our four flagship Dynamic Alpha Strategies strive to deliver absolute returns as well as out-performance over the relevant benchmarks. Our clients are using them to improve their investment returns while reduce downside risks. For more information, please visit: www.julexcapital.com.

1. Upside Participation, Downside Management
DYNAMIC ALPHA STRATEGIES
One International Place, Suite 1400, Boston, MA 02110
Phone: 617-535-7542
Email: info@julexcapital.com
Web: www.julexcapital.com
1

2. JULEXCAPITAL:OVERVIEW
Firm Overview
• The Firm
• Founded in 2012, employee-owned, registered in Massachusetts
• Quantitative investment firm
• Highly experienced team with extensive institutional investment background
• Fidelity/Geode, Loomis Sayles, SSGA, Sun Life, Deutsche Bank
• Current AUM/AUA: $66.4 MM (as of Jan. 31, 2015)
• The Organization and Infrastructure
2
Henry Ma, Ph.D.,
CFA
President
Henry Ma
CIO
Tony Ash
CFA, COO
Brian Phelan
Managing
Director
Frank Zhuang,
Ph.D.
Research
TBA
Analyst Intern
Advisory Board
Retained Legal
Counsel
George Xiang,
Ph.D.
Research
Administration
CompliancePortfolio
Management
ITTrading
Research
Sales
Business
Development
Client
services

3. JULEXCAPITAL:JULEXMANAGEMENTTEAM
Experienced and Multi-Disciplinary Team
3
Team Experience Education
Henry Ma
CFA
Geode Capital /Fidelity – Hedge Fund Manager
Loomis Sayles – Director of Quantitative Research
Fortis Investments - Director of Quantitative Research
Sun Capital Advisers – Senior Vice President
John Hancock – Senior Associate Investment Officer
Ph.D. Economics –
Boston University
BA, MA – Peking
University, China
Tony Ash
CFA
Sun Life Financial – Managing Director, Head of US
Portfolio Management
MBA, BA – Boston
College
Brian Phelan Deutsche Bank – Director, Fixed Income Sales
Paine Webber – First Vice President, Institutional Sales
BA – Boston College
George Xiang
CFA
State Street Global Advisors (SSGA) – Head of
Quantitative Research
Loomis Sayles – Senior Quantitative Analyst
Conseco Capital – Quantitative Research Manager
Ph.D. Mathematics –
Indiana University
BA – Nankai University,
China
Frank Zhuang Ericsson – Senior Engineer
Nortel, Alcatel/Lucent - Senior Research Scientist
Ph.D. Electric Engineer
– Univ. of Maryland
MS – West Virginia
University

4. JULEXCAPITAL:NEWINVESTMENTPARADIGM
New Investment Paradigm
• Deep Losses in Last Decade Challenge Traditional Investment Wisdom
• A diversified portfolio did not provide enough protection as correlations rose
dramatically
• Benchmark-centric management approach failed to protect the downside
• Many alternative investments were highly correlated with traditional assets
Data Source: Bloomberg, Yahoo, Julex Capital Management
600
800
1000
1200
1400
1600
1800
2000
1/1/2000
1/1/2001
1/1/2002
1/1/2003
1/1/2004
1/1/2005
1/1/2006
1/1/2007
1/1/2008
1/1/2009
1/1/2010
1/1/2011
1/1/2012
1/1/2013
S&P 500 Index
- 51%
-44%
4

5. JULEXCAPITAL:INVESTMENTPHILOSOPHY
Investment Philosophy
• There are always some asset classes performing well at any given time
• Consistent returns can be achieved by tactical positioning in the best-
performing asset classes
• Long term outperformance can be achieved by limiting downside risks
Data Source: Bloomberg, Yahoo, Julex Capital Management
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Large Cap 29% 21% -9% -12% -22% 29% 11% 5% 16% 5% -37% 26% 15% 2% 16% 32%
Small Cap -2% 21% -3% 3% -20% 47% 18% 5% 18% -2% -34% 27% 27% -4% 17% 39%
International 18% 25% -15% -23% -15% 39% 21% 14% 27% 12% -43% 32% 8% -10% 19% 21%
EM -28% 64% -32% -5% -5% 55% 25% 33% 32% 39% -53% 78% 19% -16% 19% -5%
Real Esate -18% -5% 26% 14% 4% 37% 32% 12% 35% -16% -38% 28% 28% 9% 18% 2%
MLP -3% -8% 46% 44% -3% 44% 17% 6% 26% 13% -37% 76% 36% 14% -1% 21%
Gold -1% 1% -5% 1% 26% 20% 5% 18% 23% 32% 4% 25% 29% 11% 7% -28%
Commodity -36% 41% 50% -32% 32% 21% 17% 26% -15% 33% -46% 13% 9% -1% -1% -2%
High Yield 2% 2% -6% 5% -1% 29% 11% 3% 12% 2% -26% 58% 15% 6% 13% 6%
Bond Aggregate 9% -1% 12% 8% 10% 4% 4% 2% 4% 7% 5% 6% 7% 8% 4% -2%
TIPS 4% 2% 14% 10% 18% 9% 10% 4% 2% 12% -2% 10% 8% 13% 6% -8%
Treasuries 10% -3% 14% 7% 12% 2% 4% 3% 3% 9% 14% -4% 6% 10% 4% -6%
Long Term Treasuries 14% -10% 21% 4% 17% 2% 9% 9% 1% 10% 34% -21% 9% 31% 2% -13%
T-Bills 5% 5% 6% 3% 2% 1% 1% 3% 5% 4% 1% 0% 0% 0% 0% 0%
5

6. JULEXCAPITAL:INVESTMENTPROCESS
Investment Process
• Unique Quantitative Three-Step Investment Process
• “Adaptive investment approach” to adjust investments quickly to ongoing
market conditions
• Our model integrates the best elements of three investment approaches with
strong economic rationale
Risk Parity
Volatility-weighted Portfolio Construction
Relative Momentum
Select Asset Classes /Sectors / Countries
Risk Switch TM
Identify Risk On/Risk Off Regimes
6

7. JULEXCAPITAL:RISKSWITCH
Risk Switch TM
7
Data Sources: Bloomberg and Julex Capital Management, LLC
50
500
5000
Jan-70
Jan-72
Jan-74
Jan-76
Jan-78
Jan-80
Jan-82
Jan-84
Jan-86
Jan-88
Jan-90
Jan-92
Jan-94
Jan-96
Jan-98
Jan-00
Jan-02
Jan-04
Jan-06
Jan-08
Jan-10
Jan-12
Jan-14
Risk Off S&P 500 Index

8. JULEXCAPITAL:PROCESSINACTION
Process In Action
8
Risk Switch TM
Determine the
market
environment for
risk-taking
Risk On
Risk Off
Relative
Momentum
Select asset
classes,
countries and
sectors
Large
Cap,
32%
Small
Cap,
26%
Interna
tional,
22%
REITs,
20%
Invest
ment
Grade
Bonds,
45%
Treasur
ies,
55%

9. JULEXCAPITAL:OBJECTIVESANDPRODUCTS
Investment Objectives and Products
• Dynamic Sector:
• Tactical US equity sector/bond rotation
• Strives to outperform a moderate
benchmark and S&P 500 over a full
market cycle
• Dynamic Income:
• Tactical rotation across income-generating
assets
• Strives to outperform Barclays US Aggregate
Bond Index over a full market cycle
• Dynamic Multi Asset:
• Tactical allocation across multiple macro
asset classes
• Strives to outperform Dow Jones Moderate
Index over a full market cycle
• Dynamic Real Asset:
• Tactical rotation across multiple real asset
classes
• Strives to outperform Barclays US TIPS
Index over a full market cycle
9
• Dynamic
Multi-Asset
• Dynamic
Real Asset
• Dynamic
Income
• Dynamic
Sector
Growth Income
Absolute
Return
Inflation
• Absolute Returns: Strives for consistent returns regardless of market conditions
• Strives to outperform benchmarks with lower or similar risks over full market cycle
• Client-centric solutions: benchmark-agnostic

10. JULEXCAPITAL:JULEXDYNAMICFACTOR
Julex Dynamic Sector: Portfolio and Performance
• Portfolio Components
• S&P Equity Sectors
• Energy: XLE
• Materials: XLB
• Industrials: XLI
• Consumer Discretionary: XLY
• Consumer Staples: XLP
• Healthcare: XLV
• Financials: XLF
• Technology/Information: XLK
• Utilities: XLU
• Style Classifications
• Small Value: IWN
• Small Growth: IWO
• Mid-Cap Value: IWS
• Mid-Cap Growth: IWP
• Large Value: IVE
• Large Growth: IVW
• Less Risky Assets
• US Bonds: AGG
• US TIPS: TIP
• US Treasury: IEF
• US Treasury Long: TLT
• Cash
• Performance *
10%
8%
9%
13%
9%12%
12%
10%
9%
8%
Portfolio Weights
Example
XLB
XLF
XLI
XLK
XLV
XLY
IVW
IWP
IWN
IWO
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD DJMUS
2015 -2.15 -2.15 -0.45
2014 -3.22 4.95 -0.47 -0.32 2.18 2.31 -2.21 4.07 -2.01 2.39 3.04 -0.10 10.72 9.09
2013 5.80 1.71 4.02 1.37 0.20 -0.98 5.77 -3.27 4.78 3.98 3.04 2.72 32.83 19.56
2012 0.68 0.99 1.67 1.90
* Past performance is not indication of future returns. These are unaudited gross returns. The inception date is Nov. 1, 2012. Dow Jones Moderate U.S. Index added as
primary benchmark for Julex Dynamic Factor effective June 30, 2014 and retroactive to since inception to better reflect dynamic risk profile and active stock/bond allocations.
As of August 31, 2014, the Julex Dynamic Factor Composite has been renamed the Julex Dynamic Sector Composite. DJModUS – Dow Jones Moderate U.S. Index
10

11. JULEXCAPITAL:JULEXDYNAMICINCOME
Julex Dynamic Income: Portfolio and Performance
• Portfolio Components
• Income-Generating Equities
• Dividend Stocks: DVY
• REIT: VNQ
• MLPs: MLPI/AMLP
• Preferred Stock: PFF
• High-Yielding Fixed Income/Loans
• US High Yield: JNK
• Emerging Market Bond: EMB
• Bank Loans: BKLN
• Safe Bonds
• US Bonds: AGG
• US TIPS: TIP
• US Treasury: IEF
• Cash
• Performance*
8%
6%
9%
9%
15%
8%
21%
8%
8%
8%
Portfolio Weights Example
DVY
VNQ
MLPI
EMB
JNK
PFF
BKLN
AGG
TIP
IEF
11
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD BAB
2015 2.17 2.17 2.10
2014 0.56 1.17 1.09 1.80 1.76 1.83 -1.35 2.59 -1.96 -1.15 0.28 -0.11 6.59 5.95
2013 1.68 0.80 2.57 1.84 -2.77 -0.59 1.33 -1.46 1.28 2.06 -0.37 -0.10 6.31 -2.02
2012 0.03 0.49 -0.06 0.46 0.22
*Past performance is not indication of future returns. These are unaudited gross returns. The inception date is Oct. 1, 2012
BAG – Barclays Aggregate U.S. Bond Index
PSN “TOP GUNS” PERFORMER
IN INTERMEDIATE BOND AND US ETF BOND CATOGERIES
FOR THE YEAR ENDED Q3 2014

12. JULEXCAPITAL:JULEXMULTIASSET
Julex Dynamic Multi-Asset : Portfolio and Performance
• Portfolio Components
• Risk Assets
• US Large Cap: SPY
• US Small Cap: IWM
• International: EFA
• Emerging Markets: VWO
• Real Estate: VNQ
• MLPs: MLPI/AMLP
• Commodity: DJP
• Hybrids
• High Yield Bonds: JNK
• Gold: GLD
• Bonds
• US Bonds: AGG
• US TIPS: TIP
• US Treasury: IEF
• US Long Term Treasuries
• Cash
• Performance*
32%
26%
22%
20%
Portfolio Weights Example
SPY
IWM
EFA
VNQ
12
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD DJM
2015 -0.44 -0.44 -0.21
2014 -2.50 3.11 0.27 0.24 2.10 2.53 -1.23 5.08 -3.55 -1.70 1.08 0.29 5.52 5.35
2013 -0.75 4.39 -2.44 4.82 3.08 2.03 1.66 13.28 7.86
* Past performance is not indication of future returns. These are unaudited gross returns. The inception date is June 1, 2013.
DJM – Dow Jones Moderate Index (Global)
PSN “TOP GUNS” PERFORMER
IN GLOBAL BALANCED AND ETF GLOBAL BALANCED
CATOGERIES
FOR THE YEAR ENDED Q3 2014

13. JULEXCAPITAL:JULEXREALASSET
Julex Real Asset: Portfolio and Performance
• Portfolio Components
• Commodity-Related Equities:
• Materials Sector: XLB
• Energy Sector: XLE
• Infrastructure MLP: MLPI/AMLP
• Real Estates:
• US Real Estate: VNQ
• Foreign Real Estate: RWX
• Commodities:
• Gold: GLD
• DJUBS Index: DJP
• Inflation Protection Bond: TIPS
• Cash
• Performance*
12%
8%
4%
10%
10%
11%
35%
10%
Portfolio Weights
Example
DJP
VNQ
RWX
MLPI
XLB
XLE
TIP
Cash
13
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD TIP
2015 3.38 3.38 3.15
2014 -0.54 1.06 -0.09 2.07 1.29 2.12 -2.18 2.67 -3.44 -1.20 0.19 -0.57 1.22 3.65
2013 1.29 -3.87 -2.95 0.65 -1.18 1.10 1.33 -0.26 0.42 -3.57 -8.27
* Past performance is not indication of future returns. These are unaudited gross returns. The inception date is April 1, 2013.
TIP – Barclays US TIPS Index

14. JULEXCAPITAL:MANAGEMENTTEAM
Management Team
Henry Ma, Ph.D., CFA, President and Chief Investment Officer. Dr. Ma has two decades of extensive hands-on and
leadership experience in asset management industry. Prior to founding Julex, he worked as a global macro hedge fund manger
with Geode Capital Management (a Fidelity affiliate). Earlier, he served as Director of Quantitative Research and Financial
Engineering with Loomis Sayles & Co., and Director of Quantitative Research and Risk Management with Fortis Investments.
He led quantitative research and risk management groups to develop investment strategies, portfolio risk analytics and structured
credit strategies. Dr. Ma also worked as Senior Vice President at Sun Life Financial, where he helped manage $30 billion in
fixed income assets. His investment career began with John Hancock Financial Services as a Senior Associate Investment
Officer. He developed investment and derivatives strategies as well as oversaw $3 billion in a multi-asset portfolio. Dr. Ma is a
published author and an industry speaker on the topics of quantitative investing, risk management and structured finance. He
earned a Bachelor and a Master in Economics and Management from Peking University and a Ph.D. in Economics from Boston
University.
Tony Ash, CFA, Managing Director and Chief Operating Officer. Mr. Ash has 30 years of broad experience in asset
allocation and investment risk management. Most recently, he served as Managing Director and Head of US Portfolio
Management at Sun Life Financial. In that role he developed and implemented investment policies, strategies, and mandates for
$37 billion in all asset classes backing the insurance general account. He entered the financial services industry in 1982 as an
Investment Analyst at New England Life and joined the U.S. Operations of Sun Life Financial in 1985. During his tenure at Sun
Life, Tony led the launch of a successful multi-billion dollar captive investment adviser and investment company complex (Sun
Capital Advisers Trust) in 1998 and also served as internal Investment Advisor to the Sun Life U.S. Employees Defined Benefit
and Defined Contribution plans from 1999 to 2009. Tony received his BA in Economics and his MBA in Investments both from
Boston College. Tony has been a member of the ACLI Investment Advisory Council for the SIMS Conference.
Brian Phelan, Managing Director, Sales. Brian brings over thirty years of capital markets experience to Julex Capital
Management. He spent twenty-two years as a First Vice President at PaineWebber Group in institutional fixed income sales
covering major and middle market accounts for investment grade and high yield corporate debt, residential and commercial
mortgage backed securities, asset backed securities and rates. Later, he worked at Deutsche Bank Securities as a Director in the
generalist fixed income securities platform within the Capital Markets Group. Most recently, Brian co-founded MacBride
Partners, a consulting firm to assist it’s clients improve investment performance by implementing the industry best practices.
Brian graduated from the Carroll School of Management at Boston College with a BS in General Management / Marketing and
currently holds his Series 7 and Series 63 licenses.
14

15. JULEXCAPITAL:RESEARCHTEAM
Research Team
George Xiang, Ph.D., CFA, Research Consultant and Member of Investment Committee. Dr. Xiang has extensive
experiences in fixed income, quantitative equity, and commodities. His experiences include designing investment products,
creating trading strategies, and developing analytic tools. During his career, George worked as Head of Global Fixed Income
Research at SSGA, a senior quantitative analyst at Loomis Sayles & Company and quantitative research manager at Conseco
Capital Management. George received a Ph.D. in mathematics and MS in computer science from Purdue University, and BS in
mathematics from Nankai University. He is CFA and FRM charter holder. He has numerous publications in finance,
mathematics, and computer science. Also, George has one patent pending that involves investment technology and products.
Frank Zhuang, Ph.D., Research Consultant and Member of Investment Committee. Dr. Zhuang is an expert in machine
learning and artificial intelligence. He has extensive experiences in applying cutting-edge statistical techniques and technologies
to financial modeling and trading in last twenty years. His expertise includes neural networks, signal processing, machine
learning, pattern recognition, artificial intelligence and other advanced statistical analysis. He has published numerous research
in those subjects in the nationally recognized journals. During his career, Dr. Zhuang has served as a Senior Research Scientist
with Nortel, Alcatel/Lucent and other global technology companies. He holds Ph.D. degree in Electrical Engineering from the
University of Maryland, College Park. He also earned M.S. degree in mathematics from West Virginia University.
Advisory Board
Maryam H. Muessel , Advisor. Ms. Muessel has been a senior leader in the financial industry for decades. She was the Chief
Investment Officer for Global Credit at BNP Paribas, a $1 trillion global asset manager. At BNP, she was responsible for
defining and monitoring the management process and the investment strategy implemented by the credit investment teams
across over $250 billion in fixed income mandates globally. Maryam also actively participated in designing and developing the
product range. She joined Fortis Investments in 2004 as the CIO for US Fixed Income & Structured Finance, which was
ultimately acquired by BNP. In 2008 she became COO of Alternatives & Solutions division with a direct responsibility on
Global Credit & Hybrids. Prior to Fortis, she was ACA’s COO and head of Structured Credit and Asset Management Business.
From 1998 to 2004, Maryam held senior positions at Prudential Securities where she was in charge of the CDO business, MBIA
where she was in charge of their Alternative Investment business and at CapMAC where she was in charge of their structured
credit and financial engineering business. She began her career in 1985 at Mellon Bank. Maryam is a graduate in Economics
from University of Southern California and holds a Doctorate/MA in Economics from Georgetown University.
15

16. JULEXCAPITAL:APPENDIX
APPENDIX : SUPPLEMENTAL INFORMATION –
• HOW TO USE JULEX STATEGIES
• MACRO OPPORTUNITIES PRO FORMA PEFORMANCE
• BACK TEST HISTORICAL RESULTS
16

17. HOWTOUSEJULEXSTRATEGIES
Julex Strategies in Your Portfolio
Equity,
35%
Julex
Dynamic
Sector
30%
Fixed
Income,
35%
Core Portfolio w/30% Weighting in Julex
Dynamic Sector
17
Equity,
50%
Fixed
Income,
50%
Core Portfolio
12/31/1999 -
9/30/2014
50/50 Core
Portfolio
Annual Return 5.3%
Standard Deviation 7.7%
Drawdown -27%
Sharpe Ratio 0.43
12/31/1999 -
9/30/2014
35/35 Core
Portfolio
w/30% Julex
Sector
Annual Return 7.3%
Standard Deviation 7.2%
Drawdown -19%
Sharpe Ratio 0.73
Note: Julex Dynamic Multi Asset Index performance results and total portfolio investment results shown on this slide are HYPOTHETICAL
based on modeled results and are gross before investment management fees. Please see Disclosures for more information.

18. JULEXCAPITAL:MACROOPPORTUNITIES
Julex Macro Opportunities: Portfolio and Performance
• Portfolio Components
• Dynamic Multi Asset
• Dynamic Sector
• Dynamic Income (2X leverage)
• Performance*
18
34%
33%
33%
Portfolio Weights
Dynamic Multi Asset
Dynamic Sector
Dynamic Income (2X
leverage)
* Pro Forma performance with the three sub-strategies 1/3 Dynamic Sector + 1/3 Dynamic Income (2X leverage) + 1/3 Dynamic Multi Assets/Focus from November 2012
through June 2014; actual live Macro Opportunities Composite performance starting in July 2014. As of August 31, 2014, the Julex Dynamic Factor Composite has been renamed
the Julex Dynamic Sector Composite. * HFRI GMI – HFRI Global Macro Index
Date Source: Bloomberg, Yahoo, Julex Capital Management, Hedge Fund Research
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD HFRI
GMI*
2015 0.38 0.38 2.62
2014 -1.56 3.44 0.63 1.14 2.57 2.80 -2.20 4.95 -3.41 0.40 1.60 0.21 10.74 6.37
2013 3.76 1.01 4.09 2.31 -3.59 -1.00 4.24 -2.91 4.02 3.70 1.41 1.36 19.57 -0.45
2012 0.97 1.02 2.00 0.96

19. JULEXCAPITAL:JULEXDYNAMICSECTOR
Julex Dynamic Sector – Back Test Results
Note: Julex Dynamic Sector performance results shown on this slide are HYPOTHETICAL based on modeled results and are gross before
investment management fees. However, the month returns since November 2012 are live Julex composite. performance. Performance. Dow Jones
Moderate U.S. Index added as primary benchmark for Julex Dynamic Factor effective June 30, 2014 and retroactive to since inception to better
reflect dynamic risk profile and active stock/bond allocations. As of August 31, 2014, the Julex Dynamic Factor Composite has been renamed the
Julex Dynamic Sector Composite. Please see Disclosures for more information.. Data Source: Bloomberg, Yahoo, Julex Capital Management
19
January 2000
December 2014
Julex
Dynamic
Sector
Dow Jones
Moderate U.S.
Index
S&P 500
Index
Annual Return 12.3% 6.6% 4.2%
Standard
Deviation 9.4% 10.2% 15.3%
Sharpe Ratio (risk
free rate = 2%) 1.09 0.45 0.15
Maximum
Drawdown -14.2% -33.1% -50.9%
Year
Julex
Dynamic
Sector
Dow Jones
Moderate
U.S. Index
S&P 500
Total
Return
Index
2000 -0.1% 4.4% -9.1%
2001 6.5% 0.2% -11.9%
2002 4.2% -10.6% -22.1%
2003 24.0% 24.1% 28.7%
2004 15.6% 11.2% 10.9%
2005 5.3% 6.0% 4.9%
2006 13.9% 10.2% 15.8%
2007 10.4% 4.9% 5.5%
2008 9.5% -22.6% -37.0%
2009 20.2% 22.6% 26.5%
2010 12.0% 15.2% 15.1%
2011 12.2% 3.3% 2.0%
2012 10.9% 11.9% 16.0%
2013 32.8% 19.6% 32.4%
2014 10.7% 9.1% 13.7%
0
1,000
2,000
3,000
4,000
5,000
6,000
Dynamic Sector Index
Dow Jones Moderate U.S. Index
S&P 500

20. JULEXCAPITAL:JULEXDYNAMICINCOME
Julex Dynamic Income – Back Test Results
Note: Julex Dynamic Income performance results shown on this slide are HYPOTHETICAL based on modeled results and are gross before
investment management fees. However, the monthly returns since October 2012 are live Julex composite performance. Please see Disclosures for
more information.
Data Source: Bloomberg, Yahoo, Julex Capital Management
20
January 2000 –
December 2014
Julex
Dynamic Income
Barclays
Aggregate U.S.
Bond Index
Annual Return
9.6% 5.7%
Standard
Deviation 5.9% 3.5%
Max. Drawdown
-5.8% -4.1%
Sharpe Ratio (risk free
rate = 2%)
1.3 1.1
Year
Julex
Dynamic
Income
Barclays
Aggregate U.S.
Bond Index
2000 9.8% 11.6%
2001 7.9% 8.4%
2002 10.5% 10.3%
2003 17.0% 4.1%
2004 7.8% 4.3%
2005 3.8% 2.4%
2006 9.4% 4.3%
2007 1.2% 7.0%
2008 10.8% 5.2%
2009 18.2% 5.9%
2010 15.4% 6.5%
2011 11.3% 7.8%
2012 8.6% 4.2%
2013 6.3% -2.0%
2014 6.6% 5.9%
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
Dynamic Income Index
Barclays Aggregate U.S. Bond Index

21. JULEXCAPITAL:DYNAMICMULTIASSET
Julex Dynamic Multi-Asset – Back Test Results
Note: Julex Dynamic Multi Asset performance results shown on this slide are HYPOTHETICAL based on modeled results and are gross before
investment management fees. However, the monthly returns since June 2013 are live Julex Composite performance. Please see Disclosures for more
information.
Data Source: Bloomberg, Yahoo, Julex Capital Management 21
January 2000 –
December 2014
Julex
Dynamic
Multi-Asset
Dow Jones
Moderate
Index
Annual Return 14.4% 5.9%
Standard
Deviation
10.5% 10.2%
Max. Drawdown -15% -35%
Sharpe Ratio (risk free
rate = 2%)
1.2 0.4
Year
Julex
Dynamic
Multi-Asset
Dow
Jones
Moderate
Index
2000 5.8% -2.2%
2001 4.7% -2.5%
2002 2.8% -7.1%
2003 37.0% 27.2%
2004 3.8% 13.2%
2005 16.3% 7.3%
2006 19.1% 11.9%
2007 22.6% 8.0%
2008 21.2% -24.8%
2009 16.5% 23.8%
2010 19.7% 14.0%
2011 17.0% 0.3%
2012 5.9% 11.2%
2013 24.4% 14.5%
2014 5.5% 5.3%
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
Dynamic Multi-Asset Index
Dow Jones Moderate Index (Global)

22. JULEXCAPITAL:DYNAMICREALASSET
Julex Dynamic Real Asset – Back Test Results
Note: Julex Dynamic Real Asset performance results shown on this slide are HYPOTHETICAL based on modeled results and are gross before
investment management fees. However, the monthly returns since April , 2013 are live Julex Composite performance. Please see Disclosures for
more information.
Data Source: Bloomberg, Yahoo, Julex Capital Management 22
January 2000 –
December 2014
Julex
Dynamic
Real Asset
Barclays TIPS
Index
Annual Return 9.92% 7.2%
Standard
Deviation
6.6% 6.3%
Max. Drawdown -10% -12%
Sharpe Ratio (risk free
rate = 2%)
1.2 0.8
Year
Julex
Dynamic
Real Asset
Barclays TIPS
Index
2000 10.4% 14.1%
2001 9.2% 10.0%
2002 12.6% 17.5%
2003 21.6% 9.3%
2004 14.8% 10.2%
2005 8.6% 4.5%
2006 9.4% 1.7%
2007 13.4% 12.0%
2008 -1.9% -1.6%
2009 23.7% 10.1%
2010 12.7% 7.8%
2011 12.3% 13.0%
2012 5.1% 6.1%
2013 -0.9% -7.8%
2014 1.2% 3.7%
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
Dynamic Real Asset index
Barclays TIPS Index

23. JULEXCAPITAL:DISCLOSURES
Disclosures
This information in this presentation is for the purpose of information exchange. This is not a solicitation or offer to buy or sell any security. You
must do your own due diligence and consult a professional investment advisor before making any investment decisions. The use of a proprietary
technique, model or algorithm does not guarantee any specific or profitable results. Past performance is not indicative of future returns. The
performance data presented are gross returns.
The risk of loss in trading securities can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of
your financial condition. All information posted is believed to come from reliable sources. We do not warrant the accuracy or completeness of
information made available and therefore will not be liable for any losses incurred.
The investment performance shown in the Appendix is HYPOTHETICAL. It is based on the back tests of historical data. Hypothetical
performance results have many inherent limitations, some of which are described below. No representation is being made that any account will
or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance
results and the actual results subsequently achieved by any particular trading program.
One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition,
hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in
actual trading. For example, the ability to withstand losses or adhere to a particular trading program in spite of trading losses are material points
which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation
of any specific trading program which cannot be fully accounted for in the presentation of hypothetical performance results and all of which can
adversely affect actual trading results.
The composition of a benchmark index may not reflect the manner in which a Julex portfolio is constructed in relation to expected or achieved
returns, investment holdings, portfolio guidelines, restrictions, sectors, correlations, concentrations, volatility, or tracking error targets, all of
which are subject to change over time.
No representation or warranty is made to the reasonableness of the assumptions made or that all assumptions used to construct the performance
provided have been stated or fully considered.
In the back test, we used the index returns in case the historical returns of the ETFs are not long enough. The ETF returns were approximated
by index returns subtracted by their respective expense ratios. Please see “Notes on Data” for more details.
23

24. JULEXCAPITAL:NOTESONDATA
Notes on Data
In the back test, we used the index returns in case the historical returns of the ETFs are not long enough. The ETF returns were approximated
by index returns subtracted by their respective expense ratios.
The following summarizes the detailed calculations:
(1) IWM: Russell 2000 Index - 20bps before 5/31/2000
(2) EFA: MSCI EAFE Index - 34 bps before 8/28/2001
(3) VWO: MSCI EM Index -15 bps before 4/29/2005
(4) VNQ: MSCI US REIT Index - 10 bps before 10/29/2004
(5) MLPI: Alerian MLP Infrastructure Index - 85 bps before 5/28/2010
(6) GLD: London Gold Fixing - 40 bps before 12/31/2004
(7) JNK: Barclays Capital US High Yield Index - 40 bps before 1/31/2008
(8) AGG: Barclays Capital US Aggregate Index - 8 bps before 10/31/2003
(9) IEF: Barclays Capital US Treasury Index - 15 bps before 8/30/2002
(10) TLT: Barclays Capital 20+ year US Treasury Index -15 bps before 8/30/2002
(11) SHV: Three-month T-bill before 02/28/2007
(13) DVY: Dow Jones US Select Dividend Index - 39 bps before 12/31/2003
(14) EMB: JP Morgan EMBI Global Core Index - 60 bps before 1/31/2008
(15) PFF: S&P US Preferred Index - 47 bps before 4/30/2007
(16) BKLN: S&P/LSTA Bank Loan Index -65 bps before 4/29/2011
(17) IVE: S&P 500 Value Index - 18 bps before 6/30/2000
(18) IVW: S&P 500 Growth Index - 18 bps before 6/30/2000
(19) IWS: Russell MidCap Value Index - 25 bps before 9/28/2001
(20) IWP: Russell MidCap Growth Index - 25 bps before 9/28/2001
(21) IWN: Russell SmallCap Value Index - 25 bps before 8/31/2000
(22) IWO: Russell SmallCap Growth Index - 25 bps before 8/31/2000
(23) DJP: Dow Jones UBS Commodity Index - 75 bps before 11/30/2006
(24) RWX: Dow Jone Global Real Estate Index -59 bps before 1/31/2007
24