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Prepared by George G. Namur, Ph.D.
January 2017
Dual Strategy
Equity Derivatives Fund
Confidentiality
Dual Strategy Equity Derivatives Fund2
This information is privileged and confidential.This
presentation includes descriptions of methodologies and
concepts derived through substantial research and
development efforts. No part of this presentation may be
reproduced by any means or transmitted without the written
permission of Dr George G. Namur.
Dual Strategy Equity Derivatives Fund3
 Introduction
 Fund Overview
 Strategy Overview
 Highlights of Prospective Organization
 Dual Strategy Structure and Performance
 EquityValuation
 Bios
 Contact Information
 Appendix
Overview
Introduction
Dual Strategy Equity Derivatives Fund4
Introduction
Dual Strategy Equity Derivatives Fund5
 The fund is looking to raise capital in exchange for equity in the
NewCo
 Prospective funding General Partners (GPs) will receive shares in the
Investment Manager Company and the Investment Advisor Company
 GPs will jointly receive the performance and net management fees
that the fund generates
 Required funds are part seed capital and part operation expenses
(OpEx) capital
Fund Overview
Dual Strategy Equity Derivatives Fund6
Fund Objective
Dual Strategy Equity Derivatives Fund7
 Achieve superior risk-adjusted returns using equity derivatives and
quantitative models
 Keep correlation with market and volatility in check through
diversification and proper strategy allocation
 Fund is targeting an annual performance of approximately 30% before
management and performance fees, with a volatility in the mid-teens
and a Sharpe ratio of approximately 2
The Fund in a Snapshot
Dual Strategy Equity Derivatives Fund8
 The FCA-regulated London based fund will combine two complementary
strategies to generate high returns while limiting volatility
Long-Biased Options
Strategy
QuantitativeVolatility
Strategy
Equity options primarily The strategy serves to de-risk
the options strategy
• The two strategies are loosely correlated (correlation of 0.115)*
• The combination features a barbell strategy where more weight is allocated to
the lower risk strategy
* Monthly returns from Jan 2012 to Dec 2016 were used in computations
Portfolio Construction
Dual Strategy Equity Derivatives Fund9
 The portfolio allocates funds between the options strategy and the
quantitative volatility strategy.The actual asset allocation is at the
fund manager’s discretion and is a function of market conditions
 The options strategy focuses on long positions in US equity options
and capitalizes on their inherent asymmetric exposure and
magnified returns
 The quantitative volatility strategy focuses on major US index
derivatives and is non-directional. It identifies and executes
arbitrage, relative value, and carry trades
Theoretical Portfolio Allocation
Dual Strategy Equity Derivatives Fund10
Options Strategy
QuantitativeVolatility
Strategy
Up Markets
Theoretical Allocation
(20-80)
• Relatively higher allocation
• Higher returns (leverage effect)
• Asymmetric exposure
• Likely to outperform
• Serves to reduce fund’s volatility
• Performance loosely correlated
with market
Sideways or
Down Markets
Theoretical Allocation
(10-90)
• Opportunities for bearish positions
• Using spreads rather than outright
positions may be appropriate
• Relatively higher allocation
• Investment opportunities
(arbitrage, relative value, carry
trade, etc.) unaffected by market
direction
• Likely to outperform
Strategy Overview
Dual Strategy Equity Derivatives Fund11
Options Strategy
Dual Strategy Equity Derivatives Fund12
 The options strategy will follow a stereoscopic approach (top down
and bottom up), and will utilize a combination of global macro,
fundamental, technical, and sentiment analysis to identify high
potential trades
 The strategy will primarily focus on long call options on US securities,
but will also enter bearish positions using long put options when
appropriate
 The options portfolio will be diversified across stocks, sectors and
asset classes (via ETFs and futures) to mitigate security-specific and
correlation risk
Quantitative Volatility Strategy
Dual Strategy Equity Derivatives Fund13
 The QuantitativeVolatility strategy uses the Gamma1 Vanna2 Volga3
(GVV) cost framework to accurately calculate the implied volatility for
options of all maturities
 The GVV cost framework offers an innovative approach to
determining the true value of derivative contracts and identifies price
discrepancies between options of different maturities and underlying
securities
1. The Gamma of an option is the second derivative of the option value with respect to the underlying price
2. TheVanna of an option is the sensitivity of the option delta with respect to change in volatility; or alternatively, the sensitivity of Vega with respect to
the underlying price
3. TheVolga of an option is the second derivative of the option value with respect to the underlying’s implied volatility
Highlights of Prospective Organization
Dual Strategy Equity Derivatives Fund14
Fund Structure
Dual Strategy Equity Derivatives Fund15
U.S. Feeder Fund Offshore Feeder Fund
Master Fund
InvestmentAdvisor
Company
General Partners
Capital GainsCapital Gains
Performance
Fees
Performance
Fees
Investment Manager
Company
Management
Fees
Management Fees
Net Expenses
Fee Structure
Dual Strategy Equity Derivatives Fund16
• Assets under management will be subject to an annual management fee
of 2%
• The fee will be charged on the first business day of every quarter on
the net assets under management as of the last business day of the
previous quarter
• Profits will be subject to an annual performance fee of 20%
• The fee will be charged on the first business day of every quarter on
the previous quarter profits in excess of the high-watermark, after the
management fees are deducted
Subscription Agreement Terms
Dual Strategy Equity Derivatives Fund17
Minimum Initial Investment $300,000
Minimum Additional Investment $100,000
Lockup Period 2Years
LockupType Soft
Lockup Redemption Penalty 15%
Redemption Date Quarterly
Redemption Notice 120 Days
Service Providers
Dual Strategy Equity Derivatives Fund18
Investment
Manager
Company
UBS London
(Prime Broker)
PwC London
(Auditor)
HSBC London
(Banker)
Dechert London
(Law Firm)
Citco London
(Administrator)
FCA
(Regulator)
Dual Strategy Structure and
Hypothetical Performance
Dual Strategy Equity Derivatives Fund19
Dual Strategy Equity Derivatives Fund20
Combination 1
(Low Allocation)
Combination 2
(Base Allocation)
Combination 3
(High Allocation)
Weight of Options Strategy 10% 15% 20%
Weight of QuantitativeVolatility
Strategy
90% 85% 80%
Best Month 10.04% 14.45% 18.86%
Worst Month -6.75% -7.14% -7.55%
CAGR 25.89% 29.65% 33.29%
Correlation with S&P 500 0.55 0.46 0.56
Standard Deviation 10.81% 14.46% 18.30%
Sharpe Ratio 2.20 1.88 1.68
Sortino Ratio 3.30 3.15 2.90
* Monthly returns from Jan 2012 to Dec 2016 were used in computations
Variations of Strategy Allocations
with Key Metrics
Dual Strategy Equity Derivatives Fund21
Up Months Down Months
Combination 1 (10-90) 0.42 0.16
Combination 2 (15-85) 0.42 0.15
Combination 3 (20-80) 0.41 0.15
* Monthly returns from Jan 2012 to Dec 2016 were used in computations
Correlation* of the Dual Strategy with
the S&P 500
Dual Strategy Equity Derivatives Fund22
-10%
-5%
0%
5%
10%
15%
Jan-12
Feb-12
Mar-12
Apr-12
May-12
Jun-12
Jul-12
Aug-12
Sep-12
Oct-12
Nov-12
Dec-12
Jan-13
Feb-13
Mar-13
Apr-13
May-13
Jun-13
Jul-13
Aug-13
Sep-13
Oct-13
Nov-13
Dec-13
Jan-14
Feb-14
Mar-14
Apr-14
May-14
Jun-14
Jul-14
Aug-14
Sep-14
Oct-14
Nov-14
Dec-14
Jan-15
Feb-15
Mar-15
Apr-15
May-15
Jun-15
Jul-15
Aug-15
Sep-15
Oct-15
Nov-15
Dec-15
Jan-16
Feb-16
Mar-16
Apr-16
May-16
Jun-16
Jul-16
Aug-16
Sep-16
Oct-16
Nov-16
Dec-16
Combination 2 S&P 500
Base Allocation – Monthly Returns
vs S&P 500
Year 2012 2013 2014 2015 2016
YTD 41.81% 55.45% 12.94% 34.58% 9.34%
Dual Strategy Equity Derivatives Fund23
*VAMI:ValueAdded Monthly Index, or the value of $1,000 invested at beginning of time series.
VAMI
1,000
1,500
2,000
2,500
3,000
3,500
4,000
Jan-12
Feb-12
Mar-12
Apr-12
May-12
Jun-12
Jul-12
Aug-12
Sep-12
Oct-12
Nov-12
Dec-12
Jan-13
Feb-13
Mar-13
Apr-13
May-13
Jun-13
Jul-13
Aug-13
Sep-13
Oct-13
Nov-13
Dec-13
Jan-14
Feb-14
Mar-14
Apr-14
May-14
Jun-14
Jul-14
Aug-14
Sep-14
Oct-14
Nov-14
Dec-14
Jan-15
Feb-15
Mar-15
Apr-15
May-15
Jun-15
Jul-15
Aug-15
Sep-15
Oct-15
Nov-15
Dec-15
Jan-16
Feb-16
Mar-16
Apr-16
May-16
Jun-16
Jul-16
Aug-16
Sep-16
Oct-16
Nov-16
Dec-16
Combination 2 S&P 500
Base Allocation – VAMI Curve vs
S&P 500
Equity Valuation – Base Allocation
Dual Strategy Equity Derivatives Fund24
London Office Budget Analysis
Dual Strategy Equity Derivatives Fund25
Expenditure Projection Annual Fees (USD)* -Year 1
One-TimeExpenses
Startup Costs $77,713
Office Fit Out / Furniture $85,714
Computer Hardware $73,571
Peripherals $7,857
Business Software / Applications $189,029
RecurringExpenses
Legal / Compliance $307,714
Office Space $416,667
Marketing $113,000
Miscellaneous $18,643
PayrollWages $1,435,714
Bonuses $56,316
Total $2,295,897
* Cost estimates are based on an exchange rate of 1.43 USD to the GBP
Year 1 2 3 4 5 6 7 8 9 10
Total Expenses
(Millions)
$2.30 $2.15 $3.41 $5.08 $8.03 $16.24 $21.38 $25.43 $29.86 $32.83
Equity Value – Base Allocation
Dual Strategy Equity Derivatives Fund26
• The mean value of equity computed by discounting the total fees
net of costs is around $260 million
• The required OpEx capital was calculated as $5 million by
taking the mean deficit of management fees over 10,000
iterations and adding three standard deviations of the mean
deficit
• Three standard deviations were added in order to minimize the
odds of being underfunded
Term Sheet Framework
Dual Strategy Equity Derivatives Fund27
 A successful launch of this venture requires $5 million in OpEx capital
and a minimum of $50 million of assets under management (seed
capital).
 Prospective investors must invest both seed and OpEx capital to become
GPs in the fund
 An equity stake of 25% in return for $50 million seed investment
provides a funding GP with an IRR of around 35%
 To keep GPs interests aligned with those of LPs, funding and sweat
equity GPs are expected to be meaningfully invested in the fund (AUM)
while the fund is operating
Term Sheet Framework
Dual Strategy Equity Derivatives Fund28
 In return for the $5 million OpEx capital, a funding GP will
receive callable cumulative preferred shares at a preferred rate of
8% per annum, paid out quarterly
 No bonuses will be paid to fund executives when the fund cannot
meet its dividend obligation on the outstanding preferred shares
 The fund will buy back the preferred shares when capital is
available, hence insuring that GPs cover operating expenses in
proportion their equity stake
Fund Manager’s Bio
Dual Strategy Equity Derivatives Fund29
Dual Strategy Equity Derivatives Fund30
 Professor of Finance at the Olayan School of Business at theAmerican University
of Beirut. Introduced several new finance classes including “Hedge Fund
Strategies”,“Derivative Securities” and “Securities Analysis &Trading”
 Teaches CFA Level I, II, and III classes related to Fixed Income Portfolio
Management, Derivatives and Alternative Investment at the Institute for Financial
Analysts (IFA)
 Two decade experience trading various markets (currencies, equities, fixed
income and commodities). Stock picking skills based on stereoscopic analysis
 In-depth expertise in derivatives and risk management
 Affiliated with the Gerson Lehrman Group as an expert on commodities,
resources and financial services
Dr. George G. Namur
Dual Strategy Equity Derivatives Fund31
 Previously CEO and Managing Partner atVermont Harding Management Ltd, an
alternative asset management firm based on systematic foreign exchange trading
 He started Namur Capital Management in 2001, a wealth management and advisory
firm. He managed clients money as Separately Managed Accounts. He focused on
global macro trends and his trading was driven by his macro views, including
market risk appetite. He supplemented his fundamental analysis with technical,
cyclical as well as sentiment analysis
 Formerly General Manager at ShellTrading (previously Coral Energy) in Houston,
managing energy-related assets worth several billion dollars. Introduced the
concept of front office risk management. Developed a portfolio of synthetic power
assets allowing the firm to become a major player in electricity trading
Dr. George G. Namur
Dual Strategy Equity Derivatives Fund32
 Worked at the prestigious Capital Market Risk Advisors in NewYork where he
advisedWall Street firms, banks and asset managers on risk management and
derivative valuation. Experience at CMRA inculcated a risk-based discipline in
trading and asset management
 Trained in derivatives at Chase Manhattan Bank, now JPMorgan Chase in NewYork
 MBA in Analytical Finance and Business Economics from the University of Chicago
Booth School of Business, and Ph.D. in Civil Engineering from the University of
Michigan,Ann Arbor
 Fluent in Arabic and French
Dr. George G. Namur
Quantitative Volatility Portfolio
Manager’s Bio
Dual Strategy Equity Derivatives Fund33
Dual Strategy Equity Derivatives Fund34
 Senior equity derivatives trader for a major bank in NewYork
 Joined the bank in 2000 and has been managing the risk on the S&P 500 index
options portfolio since 2004
 Main responsibilities include market making, customer facilitation and proprietary
trading as well as overseeing risk on other derivative products
 Helped develop volatility marking methodologies that analyze relative value
opportunities in secondary risks
 MS in Financial Engineering degree from Columbia University and MBA in Finance
from the City University of NewYork
Contact Information
Dual Strategy Equity Derivatives Fund35
Dual Strategy Equity Derivatives Fund36
For further enquiries, please contact
George G. Namur, Ph.D.
george.namur@namurcapital.com
+1 (917) 421-9866
+961 (71) 100977
Contact Information
Appendix
Dual Strategy Equity Derivatives Fund37
Valuation Model Key Assumptions
Dual Strategy Equity Derivatives Fund38
 Simulated quarterly returns for each allocation over ten years
 Ran 10,000 iterations
 Returns were sampled from a normal distribution
 The mean return was the dual strategy’s CAGR and the standard
deviation was its volatility
 New investments in the fund were modeled as a function of
previous year’s return, fund vintage, andAUM size
 Redemptions were taken as a fraction of starting AUM for each
period
Discount Rate Assumptions
Dual Strategy Equity Derivatives Fund39
 The beta of each allocation was computed using historical log returns
 The discount rate was obtained from CAPM and adjusted using the
hazard rate, which is the probability of the business failing in any given
year, or returning less than -5% in any given quarter
 The hazard rate was computed as the weighted average of :
 Mean market hazard rate for a hedge fund of 33%*, at 25%
 Computed hazard rate, at 75%
* Source: FinancialTimes
Discount Rate
Dual Strategy Equity Derivatives Fund40
Allocation 1 Allocation 2 Allocation 3
Discount Rate 4% 5% 7%
Hazard Rate 10% 11% 13%
Adjusted Discount Rate* 15% 19% 23%
∗ 𝐴𝑑𝑗𝑢𝑠𝑡𝑒𝑑 𝐷𝑖𝑠𝑐𝑜𝑢𝑛𝑡 𝑅𝑎𝑡𝑒 =
(1 + 𝐷𝑖𝑠𝑐𝑜𝑢𝑛𝑡 𝑅𝑎𝑡𝑒)
(1 − 𝐻𝑎𝑧𝑎𝑟𝑑 𝑅𝑎𝑡𝑒)
− 1
Dual Strategy Equity Derivatives Fund41
Assets Under Management – Base
Allocation
Year 1 2 3 4 5 6 7 8 9 10
Ending AUM
(Millions)
$89 $168 $289 $591 $1,194 $1,962 $2,552 $2,964 $3,247 $3,446
-
500
1,000
1,500
2,000
2,500
3,000
3,500
0 4 8 12 16 20 24 28 32 36 40
USD(Millions)
Quarter
Capital Gains Before Fees– Base
Allocation
Dual Strategy Equity Derivatives Fund42
-
50
100
150
200
250
300
0 4 8 12 16 20 24 28 32 36 40
USD(Millions)
Quarter
Management Fees Net of Expenses
Breakeven Point– Base Allocation
Dual Strategy Equity Derivatives Fund43
-2
1
3
5
7
9
11
13
15
17
0 4 8 12 16 20 24 28 32 36 40
USD(Millions)
Quarter
Total Fees Net Expenses – Base
Allocation
Dual Strategy Equity Derivatives Fund44
0
20
40
60
80
100
120
140
160
180
0 1 2 3 4 5 6 7 8 9 10
USD(Millions)
Year
Equity Value Distribution – Base
Allocation
Dual Strategy Equity Derivatives Fund45
Equity (Millions) $150 $200 $250 $300 $350 $400
Probability of Exceeding 77% 62% 47% 34% 23% 15%
0%
2%
4%
6%
8%
10%
12%
14%
16%
50
100
150
200
250
300
350
400
450
500
550
600
650
700
750
800
850
900
950
1,000
1,050
1,100
Probability
Equity (USD in Millions)

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Pitch Book January 2017

  • 1. Prepared by George G. Namur, Ph.D. January 2017 Dual Strategy Equity Derivatives Fund
  • 2. Confidentiality Dual Strategy Equity Derivatives Fund2 This information is privileged and confidential.This presentation includes descriptions of methodologies and concepts derived through substantial research and development efforts. No part of this presentation may be reproduced by any means or transmitted without the written permission of Dr George G. Namur.
  • 3. Dual Strategy Equity Derivatives Fund3  Introduction  Fund Overview  Strategy Overview  Highlights of Prospective Organization  Dual Strategy Structure and Performance  EquityValuation  Bios  Contact Information  Appendix Overview
  • 5. Introduction Dual Strategy Equity Derivatives Fund5  The fund is looking to raise capital in exchange for equity in the NewCo  Prospective funding General Partners (GPs) will receive shares in the Investment Manager Company and the Investment Advisor Company  GPs will jointly receive the performance and net management fees that the fund generates  Required funds are part seed capital and part operation expenses (OpEx) capital
  • 6. Fund Overview Dual Strategy Equity Derivatives Fund6
  • 7. Fund Objective Dual Strategy Equity Derivatives Fund7  Achieve superior risk-adjusted returns using equity derivatives and quantitative models  Keep correlation with market and volatility in check through diversification and proper strategy allocation  Fund is targeting an annual performance of approximately 30% before management and performance fees, with a volatility in the mid-teens and a Sharpe ratio of approximately 2
  • 8. The Fund in a Snapshot Dual Strategy Equity Derivatives Fund8  The FCA-regulated London based fund will combine two complementary strategies to generate high returns while limiting volatility Long-Biased Options Strategy QuantitativeVolatility Strategy Equity options primarily The strategy serves to de-risk the options strategy • The two strategies are loosely correlated (correlation of 0.115)* • The combination features a barbell strategy where more weight is allocated to the lower risk strategy * Monthly returns from Jan 2012 to Dec 2016 were used in computations
  • 9. Portfolio Construction Dual Strategy Equity Derivatives Fund9  The portfolio allocates funds between the options strategy and the quantitative volatility strategy.The actual asset allocation is at the fund manager’s discretion and is a function of market conditions  The options strategy focuses on long positions in US equity options and capitalizes on their inherent asymmetric exposure and magnified returns  The quantitative volatility strategy focuses on major US index derivatives and is non-directional. It identifies and executes arbitrage, relative value, and carry trades
  • 10. Theoretical Portfolio Allocation Dual Strategy Equity Derivatives Fund10 Options Strategy QuantitativeVolatility Strategy Up Markets Theoretical Allocation (20-80) • Relatively higher allocation • Higher returns (leverage effect) • Asymmetric exposure • Likely to outperform • Serves to reduce fund’s volatility • Performance loosely correlated with market Sideways or Down Markets Theoretical Allocation (10-90) • Opportunities for bearish positions • Using spreads rather than outright positions may be appropriate • Relatively higher allocation • Investment opportunities (arbitrage, relative value, carry trade, etc.) unaffected by market direction • Likely to outperform
  • 11. Strategy Overview Dual Strategy Equity Derivatives Fund11
  • 12. Options Strategy Dual Strategy Equity Derivatives Fund12  The options strategy will follow a stereoscopic approach (top down and bottom up), and will utilize a combination of global macro, fundamental, technical, and sentiment analysis to identify high potential trades  The strategy will primarily focus on long call options on US securities, but will also enter bearish positions using long put options when appropriate  The options portfolio will be diversified across stocks, sectors and asset classes (via ETFs and futures) to mitigate security-specific and correlation risk
  • 13. Quantitative Volatility Strategy Dual Strategy Equity Derivatives Fund13  The QuantitativeVolatility strategy uses the Gamma1 Vanna2 Volga3 (GVV) cost framework to accurately calculate the implied volatility for options of all maturities  The GVV cost framework offers an innovative approach to determining the true value of derivative contracts and identifies price discrepancies between options of different maturities and underlying securities 1. The Gamma of an option is the second derivative of the option value with respect to the underlying price 2. TheVanna of an option is the sensitivity of the option delta with respect to change in volatility; or alternatively, the sensitivity of Vega with respect to the underlying price 3. TheVolga of an option is the second derivative of the option value with respect to the underlying’s implied volatility
  • 14. Highlights of Prospective Organization Dual Strategy Equity Derivatives Fund14
  • 15. Fund Structure Dual Strategy Equity Derivatives Fund15 U.S. Feeder Fund Offshore Feeder Fund Master Fund InvestmentAdvisor Company General Partners Capital GainsCapital Gains Performance Fees Performance Fees Investment Manager Company Management Fees Management Fees Net Expenses
  • 16. Fee Structure Dual Strategy Equity Derivatives Fund16 • Assets under management will be subject to an annual management fee of 2% • The fee will be charged on the first business day of every quarter on the net assets under management as of the last business day of the previous quarter • Profits will be subject to an annual performance fee of 20% • The fee will be charged on the first business day of every quarter on the previous quarter profits in excess of the high-watermark, after the management fees are deducted
  • 17. Subscription Agreement Terms Dual Strategy Equity Derivatives Fund17 Minimum Initial Investment $300,000 Minimum Additional Investment $100,000 Lockup Period 2Years LockupType Soft Lockup Redemption Penalty 15% Redemption Date Quarterly Redemption Notice 120 Days
  • 18. Service Providers Dual Strategy Equity Derivatives Fund18 Investment Manager Company UBS London (Prime Broker) PwC London (Auditor) HSBC London (Banker) Dechert London (Law Firm) Citco London (Administrator) FCA (Regulator)
  • 19. Dual Strategy Structure and Hypothetical Performance Dual Strategy Equity Derivatives Fund19
  • 20. Dual Strategy Equity Derivatives Fund20 Combination 1 (Low Allocation) Combination 2 (Base Allocation) Combination 3 (High Allocation) Weight of Options Strategy 10% 15% 20% Weight of QuantitativeVolatility Strategy 90% 85% 80% Best Month 10.04% 14.45% 18.86% Worst Month -6.75% -7.14% -7.55% CAGR 25.89% 29.65% 33.29% Correlation with S&P 500 0.55 0.46 0.56 Standard Deviation 10.81% 14.46% 18.30% Sharpe Ratio 2.20 1.88 1.68 Sortino Ratio 3.30 3.15 2.90 * Monthly returns from Jan 2012 to Dec 2016 were used in computations Variations of Strategy Allocations with Key Metrics
  • 21. Dual Strategy Equity Derivatives Fund21 Up Months Down Months Combination 1 (10-90) 0.42 0.16 Combination 2 (15-85) 0.42 0.15 Combination 3 (20-80) 0.41 0.15 * Monthly returns from Jan 2012 to Dec 2016 were used in computations Correlation* of the Dual Strategy with the S&P 500
  • 22. Dual Strategy Equity Derivatives Fund22 -10% -5% 0% 5% 10% 15% Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Combination 2 S&P 500 Base Allocation – Monthly Returns vs S&P 500 Year 2012 2013 2014 2015 2016 YTD 41.81% 55.45% 12.94% 34.58% 9.34%
  • 23. Dual Strategy Equity Derivatives Fund23 *VAMI:ValueAdded Monthly Index, or the value of $1,000 invested at beginning of time series. VAMI 1,000 1,500 2,000 2,500 3,000 3,500 4,000 Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Combination 2 S&P 500 Base Allocation – VAMI Curve vs S&P 500
  • 24. Equity Valuation – Base Allocation Dual Strategy Equity Derivatives Fund24
  • 25. London Office Budget Analysis Dual Strategy Equity Derivatives Fund25 Expenditure Projection Annual Fees (USD)* -Year 1 One-TimeExpenses Startup Costs $77,713 Office Fit Out / Furniture $85,714 Computer Hardware $73,571 Peripherals $7,857 Business Software / Applications $189,029 RecurringExpenses Legal / Compliance $307,714 Office Space $416,667 Marketing $113,000 Miscellaneous $18,643 PayrollWages $1,435,714 Bonuses $56,316 Total $2,295,897 * Cost estimates are based on an exchange rate of 1.43 USD to the GBP Year 1 2 3 4 5 6 7 8 9 10 Total Expenses (Millions) $2.30 $2.15 $3.41 $5.08 $8.03 $16.24 $21.38 $25.43 $29.86 $32.83
  • 26. Equity Value – Base Allocation Dual Strategy Equity Derivatives Fund26 • The mean value of equity computed by discounting the total fees net of costs is around $260 million • The required OpEx capital was calculated as $5 million by taking the mean deficit of management fees over 10,000 iterations and adding three standard deviations of the mean deficit • Three standard deviations were added in order to minimize the odds of being underfunded
  • 27. Term Sheet Framework Dual Strategy Equity Derivatives Fund27  A successful launch of this venture requires $5 million in OpEx capital and a minimum of $50 million of assets under management (seed capital).  Prospective investors must invest both seed and OpEx capital to become GPs in the fund  An equity stake of 25% in return for $50 million seed investment provides a funding GP with an IRR of around 35%  To keep GPs interests aligned with those of LPs, funding and sweat equity GPs are expected to be meaningfully invested in the fund (AUM) while the fund is operating
  • 28. Term Sheet Framework Dual Strategy Equity Derivatives Fund28  In return for the $5 million OpEx capital, a funding GP will receive callable cumulative preferred shares at a preferred rate of 8% per annum, paid out quarterly  No bonuses will be paid to fund executives when the fund cannot meet its dividend obligation on the outstanding preferred shares  The fund will buy back the preferred shares when capital is available, hence insuring that GPs cover operating expenses in proportion their equity stake
  • 29. Fund Manager’s Bio Dual Strategy Equity Derivatives Fund29
  • 30. Dual Strategy Equity Derivatives Fund30  Professor of Finance at the Olayan School of Business at theAmerican University of Beirut. Introduced several new finance classes including “Hedge Fund Strategies”,“Derivative Securities” and “Securities Analysis &Trading”  Teaches CFA Level I, II, and III classes related to Fixed Income Portfolio Management, Derivatives and Alternative Investment at the Institute for Financial Analysts (IFA)  Two decade experience trading various markets (currencies, equities, fixed income and commodities). Stock picking skills based on stereoscopic analysis  In-depth expertise in derivatives and risk management  Affiliated with the Gerson Lehrman Group as an expert on commodities, resources and financial services Dr. George G. Namur
  • 31. Dual Strategy Equity Derivatives Fund31  Previously CEO and Managing Partner atVermont Harding Management Ltd, an alternative asset management firm based on systematic foreign exchange trading  He started Namur Capital Management in 2001, a wealth management and advisory firm. He managed clients money as Separately Managed Accounts. He focused on global macro trends and his trading was driven by his macro views, including market risk appetite. He supplemented his fundamental analysis with technical, cyclical as well as sentiment analysis  Formerly General Manager at ShellTrading (previously Coral Energy) in Houston, managing energy-related assets worth several billion dollars. Introduced the concept of front office risk management. Developed a portfolio of synthetic power assets allowing the firm to become a major player in electricity trading Dr. George G. Namur
  • 32. Dual Strategy Equity Derivatives Fund32  Worked at the prestigious Capital Market Risk Advisors in NewYork where he advisedWall Street firms, banks and asset managers on risk management and derivative valuation. Experience at CMRA inculcated a risk-based discipline in trading and asset management  Trained in derivatives at Chase Manhattan Bank, now JPMorgan Chase in NewYork  MBA in Analytical Finance and Business Economics from the University of Chicago Booth School of Business, and Ph.D. in Civil Engineering from the University of Michigan,Ann Arbor  Fluent in Arabic and French Dr. George G. Namur
  • 33. Quantitative Volatility Portfolio Manager’s Bio Dual Strategy Equity Derivatives Fund33
  • 34. Dual Strategy Equity Derivatives Fund34  Senior equity derivatives trader for a major bank in NewYork  Joined the bank in 2000 and has been managing the risk on the S&P 500 index options portfolio since 2004  Main responsibilities include market making, customer facilitation and proprietary trading as well as overseeing risk on other derivative products  Helped develop volatility marking methodologies that analyze relative value opportunities in secondary risks  MS in Financial Engineering degree from Columbia University and MBA in Finance from the City University of NewYork
  • 35. Contact Information Dual Strategy Equity Derivatives Fund35
  • 36. Dual Strategy Equity Derivatives Fund36 For further enquiries, please contact George G. Namur, Ph.D. george.namur@namurcapital.com +1 (917) 421-9866 +961 (71) 100977 Contact Information
  • 37. Appendix Dual Strategy Equity Derivatives Fund37
  • 38. Valuation Model Key Assumptions Dual Strategy Equity Derivatives Fund38  Simulated quarterly returns for each allocation over ten years  Ran 10,000 iterations  Returns were sampled from a normal distribution  The mean return was the dual strategy’s CAGR and the standard deviation was its volatility  New investments in the fund were modeled as a function of previous year’s return, fund vintage, andAUM size  Redemptions were taken as a fraction of starting AUM for each period
  • 39. Discount Rate Assumptions Dual Strategy Equity Derivatives Fund39  The beta of each allocation was computed using historical log returns  The discount rate was obtained from CAPM and adjusted using the hazard rate, which is the probability of the business failing in any given year, or returning less than -5% in any given quarter  The hazard rate was computed as the weighted average of :  Mean market hazard rate for a hedge fund of 33%*, at 25%  Computed hazard rate, at 75% * Source: FinancialTimes
  • 40. Discount Rate Dual Strategy Equity Derivatives Fund40 Allocation 1 Allocation 2 Allocation 3 Discount Rate 4% 5% 7% Hazard Rate 10% 11% 13% Adjusted Discount Rate* 15% 19% 23% ∗ 𝐴𝑑𝑗𝑢𝑠𝑡𝑒𝑑 𝐷𝑖𝑠𝑐𝑜𝑢𝑛𝑡 𝑅𝑎𝑡𝑒 = (1 + 𝐷𝑖𝑠𝑐𝑜𝑢𝑛𝑡 𝑅𝑎𝑡𝑒) (1 − 𝐻𝑎𝑧𝑎𝑟𝑑 𝑅𝑎𝑡𝑒) − 1
  • 41. Dual Strategy Equity Derivatives Fund41 Assets Under Management – Base Allocation Year 1 2 3 4 5 6 7 8 9 10 Ending AUM (Millions) $89 $168 $289 $591 $1,194 $1,962 $2,552 $2,964 $3,247 $3,446 - 500 1,000 1,500 2,000 2,500 3,000 3,500 0 4 8 12 16 20 24 28 32 36 40 USD(Millions) Quarter
  • 42. Capital Gains Before Fees– Base Allocation Dual Strategy Equity Derivatives Fund42 - 50 100 150 200 250 300 0 4 8 12 16 20 24 28 32 36 40 USD(Millions) Quarter
  • 43. Management Fees Net of Expenses Breakeven Point– Base Allocation Dual Strategy Equity Derivatives Fund43 -2 1 3 5 7 9 11 13 15 17 0 4 8 12 16 20 24 28 32 36 40 USD(Millions) Quarter
  • 44. Total Fees Net Expenses – Base Allocation Dual Strategy Equity Derivatives Fund44 0 20 40 60 80 100 120 140 160 180 0 1 2 3 4 5 6 7 8 9 10 USD(Millions) Year
  • 45. Equity Value Distribution – Base Allocation Dual Strategy Equity Derivatives Fund45 Equity (Millions) $150 $200 $250 $300 $350 $400 Probability of Exceeding 77% 62% 47% 34% 23% 15% 0% 2% 4% 6% 8% 10% 12% 14% 16% 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 950 1,000 1,050 1,100 Probability Equity (USD in Millions)