📄 Extracted Text (4,867 words)
_11 A M
BERKELEY ASSET MANAGEMENT
Oppida Investments — Preliminary Introduction
November 2012
Private and Confidential
EFTA01114211
Table of Contents
1 PROFILE OF THE INITIATIVE
2 PERFORMANCE
3 THE TEAM
APPENDIX 1 -TRADE EXAMPLES
APPENDIX 2 - THE OPPORTUNITY
APPENDIX 3 - POSITION OVERVIEW
2
B A M
EFTA01114212
1 PROFILE OF THE INITIATIVE
3 B A M
EFTA01114213
Strategy and Objectives
Fund
Profile
I
> Fund
Strategy
0
> Target
Returns
CD • Approx. 20 core positions
-O
n3
Corporate Credit
s_
(9 • Primarily Western Europe and US Unlevered
>•• 4-0
C
C
a) • Conservative approach to credit — biased L+10%
O
bp toward secured debt/top of the capital
Cu, structure, stable industries and low
0
-I
0.i
absolute leverage
Levered*
C
L+15%
C
0 • Returns enhanced through event driven
z approach
a
The fund is open to utilize
Target Investments leverage if market
conditions and terms
Leveraged loans Revolving credit facilities Investment Grade bonds appropriate
High Yield bonds Mezzanine loans Bilateral loans
Bridge loans Rescue financings 2nd lien loans Maximum fund leverage
will be 1.5x equity
4 B A M
EFTA01114214
Investment Strategy
CAPITAL PRESERVATION
► Key focus / starting point is capital preservation
► Analysis on —"how can we possibly lose principal"
► Strong bias towards secured lending / top of the capital structure
OVERLAYS:
RELATIVE VALUE
► Analysis of returns relative to other opportunities
— Capital structure relative value
— Industry peer relative value
— Book / "Apples to Oranges" comparison
EXCESS RETURNS DRIVEN BY:
• Exploiting pricing inefficiencies that exist for non credit reasons
• Event trade catalysts
• Short term trading opportunities
► Often trades will contain more than one of the above components
• Preferred trade is for mispriced security with catalyst / event to remedy mispricing
MARKET CONSIDERATIONS
► Macro market view — position book for next expected move in credit cycle
► Short term market expectations
PORTFOLIO WEIGHTED AVERAGE NET DEBT / EBITDA OF 2.7X'
75% OF PORTFOLIO INVESTED IN ASSETS AT THE TOP OF THE CAPITAL STRUCTURE'
As of May 2012
5
B A
EFTA01114215
Risk Limits
PORTFOLIO CONCENTRATION
► Single issuer exposure limit of 20% of equity
► Tranche limit — less than 35% of individual tranche
INDEPENDENT THIRD PARTY ADMINISTRATOR & CUSTODIAN
► Daiwa acts as independent third party administrator and custodian for Oppida assets
► All cash positions reconciled with Daiwa on daily basis
► All positions and NAV reconciled with Daiwa on a monthly basis
LEVERAGE
► During 2010 — leverage utilised in 2 months of year
• Peak leverage utilised in 2010 = < 0.1x equity
► During 2011— leverage utilized in 7 months of year
• Peak leverage utilised in 2011 = < 0.2x equity
► August 2012 — utilizing leverage equating to c. 0.3x equity
CURRENCY AND INTEREST RATE RISK
► Oppida's strategy is to hedge currency exposure back into Euro's and therefore takes minimal currency risk
► Oppida monitors interest rate risk (interest rate risk defined as fixed income instruments with a yield to maturity of < 10%)
Oppida may hedge interest rate risk
► The chart below highlights the quantum of currency and interest rate risk at month end over the last 4 months
Currency Exposure Fixed interest rate exposure'
%of
Date Value NAV Value % of Holdings
Jul 12 108,342 0.1% 24,302,629 22.2%
Aug 12 1.223,395 1.3% 30,201,073 28.4%
Sep 12 1,244,849 1.3% 36,368,284 36.3%
Oct 12 1,318,298 1.2% 44,712,000 40.0%
Fixed income securities with a yield to matu ivy lower than 10%
6
B A
EFTA01114216
Fund Terms
Administrator Daiwa Securities (Dublin)
Auditor PWC
Investment Manager Berkeley Asset Management LLP
Legal Advisor (Ireland) Dillon Eustace
Custodian Daiwa Securities
Subscriptions Monthly with 100,000 minimum
Redemptions Quarterly with 3 months notice
Management Fee 1.5%
Profit Allocation 15%
Performance hurdle 1 month Euribor
Subscriptions Fee None
Redemption Fee 2% if redeem within 12 months of subscription.
Domicile Ireland
Fund Structure Irish QIF with section 110 (securitization company) subsidiary
Currency Class EUR, USD and GBP
7 B A M
EFTA01114217
2 PERFORMANCE
8 B A M
EFTA01114218
Fund Performance
► Monthly performance based on weighted average capital drawn, net of all fees and expenses
Month Jan-09 Feb-09 Mar-09 Apr-09 May-09 Jun-09 Jul-09 Aug-09 Sep-09 Oct-09 Nov-09 Dec-09
% Return - - - - - -1.07% 0.23% 2.71% 1.91% 1.47% 2.74% 0.75%
% Cummulative - - - - - -1.07% -0.85% 1.84% 3.78% 5.31% 8.20% 9.01%
YTD return - - - - - -1.07% -0.85% 1.84% 3.78% 5.31% 8.20% 9.01%
Month Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-I0 Nov-I0 Dec-10
% Return 1.11% 0.06% 2.38% 1.57% -0.97% -0.48% 1.71% 0.96% 1.35% 1.23% 0.92% 1.34%
% Cummulative 10.22% 10.29% 12.91% 14.69% 13.58% 13.03% 14.97% 16.07% 17.64% 19.09% 20.18% 21.79%
YTD return 1.11% 1.17% 3.58% 5.21% 4.19% 3.69% 5.47% 6.48% 7.92% 9.24% 10.25% 1172%
Month Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 Nov-11 Dec-11
% Return 1.63% 1.65% 0.41% 1.11% 0.58% -0.56% 0.13% -3.43% -0.89% 1.97% -1.42% 0.85%
% Cummulative 23.77% 25.81% 26.33% 27.72% 28.47% 27.75% 27.92% 23.54% 22.44% 24.85% 23.07% 24.13%
YTD return 1.63% 3.30% 3.72% 4.87% 5.48% 4.90% 5.03% 1.43% 0.53% 2.51% 1.05% 1.91%
Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12
% Return 3.37% 2.74% 1.81% 0.59% 0.30% 0.86% 2.15% 2.53% 2.09% 1.94%
% Cummulative 28.31% 31.82% 34.21% 35.01% 35.41% 36.58% 39.52% 43.05% 46.04% 48.87%
YTD return 3.37% 6.20% 8.13% 8.77% 9.09% 10.03% 12.40% 15.24% 17.65% IBM
► The table above is gross of Irish corporation tax which is paid due to current structure
► Sharpe ratio over life of fund of 2.5
9 B A
EFTA01114219
Proven ability to predict trade takeout
120
1W
80
—o—ActualTake Out
60 —M—Expected Take out
..0
O —a—Maturity
2
40
20
a
e
s
c)
, N4b
.,\& + 2'
( 14/4, \
1;"
c cik, es • Cott
ce
4.
be,,see. (;‘,‘,4z° Afr cP e• + es-,
0- 0 4.
► The above chart highlights every trade where we have been repaid and compare the duration of the trade to both the legal maturity
and our original estimate for trade duration
► At the time we place a trade, we prepare an investment consent memorandum. In the memorandum prepared at the time of trade
entry we detail our original estimate for trade duration based on various assumptions
10 B A
EFTA01114220
Winners and Losers
Oppida Investments Limited
80 80
Negative P&L Trades --J.:. 4
73
70 70
60 60
so 46 50
y
V
ao 40 §GlosedTrode Losses
°Open Trade Losses
MOpenTrade Gains
30 30
INGlosedTrode Gains
22 19
20 20
15
12
10 7 I 10
6 6
1 3
0 • 0
0
0
0
0 0 • 0
• O •71
0
O •
8
•
0
4?
0 •
0
0
0 'a
0
P&L Grouplogs In RIR 000N
P. The above chart highlights the number of trades that have been either "winners" or "losers" for Oppida
• The high ratio of "winners" to "losers" demonstrates the high level of conviction we have prior to placing a trade
11 B A
EFTA01114221
Winners and Losers (cont'd)
Oppida Investments Limited
20000.00 20,000
Positive P<rades
18 393
15,000.00 15,000
10000.00 • 10,000
• Close d Trade Losses
CI Open Trade Losses
6,016
0. ■ Open Trade Gains
•g 5,000.00 5,010 ■ Closed Trade Gains
2,919 2,678
1,557 1,817
1028
0.00
-109 "19
4
328
I
-226
-5,000.00 Negative P<rades 5,000
g
g A " P&I.Groupinp in EUR 000's
► The above chart details the quantum of P&L earned in each category
12 B A
EFTA01114222
3 THE TEAM
13 B A M
EFTA01114223
Team Skillset
SUPERIOR CREDIT SKILLS
► Combined credit experience of 30 years
► Rigorous, "bottom up" fundamental analysis applied to each credit
• Asset valuation and cash flow forecasting
► Core focus — Relative Value and Capital Preservation
► Existing knowledge base of most non-investment grade credits in Europe
EXCELLENT SOURCING RELATIONSHIPS
► 10 years plus in Euro non-investment grade credit markets on buy side
• Relationships with all sell-side banks across multiple trading desks
— Leverage Loan / High yield bonds / Special situations
► Large number of unique opportunities communicated to team on a monthly basis
• Structuring advice solicited due to structuring experience / Oppida gets l st look at "blocks" coming out
STRUCTURING
► Structured non investment grade high yield bonds, bridge loans and leverage loans (combined Citigroup experience - 20 years)
► Experienced in negotiating with and understanding the differing objectives of:
• CFOs
• Financial Sponsors/Private Equity
• Financing bankers
• Bank steering committees
• Bondholder groups
► Structuring skills are key to event driven trades in corporate capital structures
14 B A
EFTA01114224
Team Bios
ARI EPSTEIN
Ari Epstein joined Coopers & Lybrand in 1996 after gaining a degree in Management Sciences at UMIST. He relocated to their
New York office in 1999 where he specialised in Financial Services. In 2000, he was hired by Salomon Brothers to join their High
Yield and Leverage Finance Capital Markets Group in London where he became Vice President with responsibility for originating
and structuring high yield bonds and leveraged loans for corporate clients and private equity firms. In 2005 he resigned from
Salomon Brothers (then Citigroup) and was hired by Millennium Capital Partners as a senior credit analyst responsible for
analysing and trading non-investment grade fixed income products. He became a partner in 2007. He resigned in July 2008 to join
Belvedere Investment Partners as a Partner and Portfolio Manager for Belvedere Credit Fund. He left Belvedere in March 2009
and together with Mervyn Hughes formed Berkeley Asset Management LLP to manage non-investment grade credit strategies.
WILLIAM MANSFIELD
William Mansfield received a BA in Economics from Harvard University in 1986 and an MBA from MIT in 1990. Post graduation
William joined Citigroup, where he worked in both the Structured Finance and High Yield Capital Markets group, relocating to
London in 1999 to help set up Citigroup's European leverage finance division. William left Citigroup in 2002 to join Cross Asset
Management as an analyst to assist in running a long/short non investment grade credit portfolio. In 2004 William left Cross to
manage a European long/short non investment grade credit portfolio for Satellite Asset Management. He then joined Millennium
Partners (a large US multi strategy hedge fund) in 2005 to assist in running their European long/short non investment grade
credit portfolio. In 2009 William left Millennium to join Ari Epstein at Berkeley Asset Management to assist in managing non
investment grade credit strategies.
15 B A
EFTA01114225
Team Bios (cont'd)
MERVYN HUGHES
Mervyn Hughes qualified as a Chartered Accountant with Price Waterhouse after graduating in 1990 from Southampton
University with a degree in Business Economics and Accountancy. In 1994 he moved to Bermuda and joined International Fund
Administration where he helped build a new hedge fund administration business. In February 1997 he joined Park Place Capital,
where he was approached by Philip Newman and Michele Ragazzi to help set up Newman Ragazzi & Co Ltd. In January 1998 he
left Park Place and became a director and COO of Newman Ragazzi. After 9 years he helped merge the firm with Odey Asset
Management LLP where he worked for a short period, leaving in September 2007. During the summer of 2007 he was
approached to set up a new asset management business and in October 2007 he was a founding partner in Belvedere Investment
Partners LLP. Mervyn resigned from Belvedere Investment Partners LLP in March 2009 and together with An Epstein formed
Berkeley Asset Management LLP to run non-investment grade credit strategies.
PATRICK MORAN
Patrick Moran began his career at Threadneedle Asset Management, working within the Settlements and Valautions department
which covered a wide range of products across Retail, Institutional and Alternative funds. Having worked his way up to team
manager, Patrick left Threadneedle after 6 years to specialise in Alternative funds and has a further 6 years experience at Senior
Operations Manager level at Novator Partners, Frontier Investment Management and Matrix Group. Patrick has completed the
IOC and CertIM with the Chartered Institute for Securities & Investment.
16 B A
EFTA01114226
APPENDIX 1- TRADE EXAMPLES
17 B A M
EFTA01114227
Trade Types
WE CAN NORMALLY SEGMENT TRADES INTO 3 "TYPES"
► Inefficient Segments of the Credit markets
• Common Characteristics
— May have to do significant work to evaluate the credit
— Typically can't be priced off a screen or by reference to a CDS price
► Event Trades
► Utilise our sell side structuring expertise to predict events
• Based on our understanding of:
— Corporate / CFO motivations
— Banker motivations
— Underlying credit documents
► Short term trades — yield to call paper
• Small downside risk / measurable downside risk
• Often minimal capital required / high IRR's
CORE THEMES
► Focus on seniority in the capital structure
• Limited downside
► Purchase cheap optionality through event prediction
18 B A
EFTA01114228
Inefficient Segments of Credit Markets - Examples
Opportunity Rationale Trade Examples
Situations which fall between 2 • EM investors don't like credit risk and HY investors don't RDS / Cukurova (details
different investor bases like EM sovereign risk description overleaf)
• IG investors forced to sell downgraded paper
Small bond offerings €100 - 300 • Benchmark size is typically E 300+ million today Fage
million • Large funds require minimum E 25 mm hold positions
Super senior RCFs and/or very low • Often unfunded NXP/ Prosieben (detailed
leverage debt tranches • Misrated by Rating Agencies description overleaf)
Orphan transactions (bank stopped • Low liquidity
trading/researching) • No research coverage
Small secondary market trades (€5 - • Too small for large funds Cukorova / Parmalat
15 million) • Too much work for smaller funds
i n time issuer (especially 1st time for • Target investor base not familiar with credit history InterXion / Lowell
a given industry sector)
US companies issuing in Europe (and • Target investor base not familiar with credit history Fage
European companies issuing in US)
Misrated/unrated debt • Ratings driven investors have limited capacity for unrated Petrojack / Sevan
or lowly rated debt
Liquidating hedge funds • Forced sellers of small tranches of illiquid paper Parmalat
19 B A
EFTA01114229
Prosieben
P. We purchased €7.5m of Prosieben revolving credit facility ("RCF") in January 2012 at a price of 82 to yield 10.22% to maturity.
• The revolving credit facility is undrawn and we posted 100% collateral — the 10.2% includes the collateral
P. The RCF is the first maturity in the capital structure maturing in July 2014 (30 months from purchase)
► Prosieben is the largest free to air broadcaster in Germany generating 2011 revenues and EBITDA of c. €2.75bn and €850m
respectively
P. Net leverage at Prosieben is 2.5x EBITDA. Leverage is made up of:
• €2.3bn of term loans
• €520m of cash
• Undrawn RCF of €568m (which we hold)
Prolort•to Opmt RC
P. If the RCF is refinanced 9 months
PM, 52
Oman :pro
Wale^ %fate Wan
I On
0130
prior to maturity the IRR is 14.4%.
tots I Oaf I0, 1055
sm..' ann. • ► If the company is sold earlier a
swarm onel-mn 20.310.303
WOK*
Ornate'
wn
loa:C COO
change of control arises and the
Lt.
brdall
cak•ula• krea hmet kno0
IRR will be higher
6thast Sal
ket .44 back itiliSte DII911/II25115 SZlittIL 21250111 Salt Byg at= 3.9091 &a 909 La 42320
P. All the debt instruments at
944122,51 211,
51/01/2052 10.000•000 1..1.00.000 11,200.00) 1500.00) $.20.030 20P),000 5% 95%
WOW:0U
flt•6/20i1
1.0.0O3,0•30
10.0:0030
Z3.01.1
34.N5
LIKO.CCO
1•103.1:01
:LOC
M.1.47
23.0.2
AN ,
23.0•12
NOW
ACOOAW
ACC01:03
5%
514
95%
95%
Prosieben rank pad passu
50b/S12 10.000.0C9 3,431 SpW,0.0 35.335 33333 33.332 143.0O3,CCO 5% 95%
51/33/30352
11•01/201)
10.200.00
30.0:01X0
14.131
'Sc,.,
4202,00
liKOSCO
15,1,1
14,S4)
10011133 33.333
14.141
IACCO:0
ACC01:03
1%
5%
05%
55%
P. In conclusion, using conservative
)0C4/201) 10.0:01/00 34.90 IAtl.Gtl 11.911 S%
3609/201) 0.030,0® 35.)li 11410.000 )5.01
)017
10.033.331
10.CCOPOO
30)X0,00) 3%
95%
95%
takeout assumptions we
11/12/201) 10.0,0/X0 33.331 LAKOAC0 35.331 10.00.003 5% 95%
3.1103/MA 20.0:0900 ASO LICO.CCO 30.533 ACCO):03 514 95% calculate a probability weighted
3.06/X124 10.D:WX0 16.947 1•10310, f4.117 AMMO 5% 55%
03•07/M24 1.152 iR0,0.0 10.032352 MOM= 5% 95% average IRR of 13.5% on the RCF.
By comparison the existing term
30% 101. 104 loans at Prosieben yield c. 6% to
1945444•44449 94%0•4491,5•141 514•4141 a 4 year maturity
20 B A
EFTA01114230
Cukurova
► We purchased $5m of l st lien loans issued by a subsidiary of the Cukurova Group AS on Jan 6th 2010 from JPMorgan at a price
of 91 to yield 17.4%.
► Original size of loan was $1.5bn, due to amortizations there is c. $611m of the loan currently outstanding.
► The loan pays a coupon of L+800bp and matures in 3 installments on May 10 / May 11 / May 12.
► The loan is collateralised by:
• $1.5bn held in cash by JPMorgan (security trustee) OR in the event current lawsuits get resolved, shares in a holding
company of Turkcell worth $2.3bn
Cukurova indirectly holds 13.75% of Turkcell —Turkcell has a market capitalization of $16.5bn
— NB Turkcell has no net leverage (net cash of $1.4bn) which is unusual for a mobile operator. Net cash position
heavily defends share price at lower levels
Alfa Telecom originally lent Cukurova money against Turkcell shares. In an attempt to seize the Turkcell shares, Alfa
Telecom called a default. JPMorgan raised this loan to refinance the Alfa loan, but Alfa stated they did not want to
receive payment and instead demanded the shares their loan was secured on. While the dispute is ongoing the loan
proceeds $1.5bn remains in escrow with JPMorgan in London
• Cukurova corporate guarantee
• Security interest in other non quoted assets of Cukurova — (worth $1-2bn per Cukurova estimates)
• Personal guarantee from Mr Mehmet Karamehmet — Chairman of Cukurova and #224 in the Forbes list of wealthiest
individuals in the world for 2009 (down from 29th in 2000)
► Recent developments:
• In April 2010, Mr Karamehmet was found guilty by a Turkish court of instructing a bank he owned in 2002 to make loans to
one of his portfolio companies—JPMorgan believe this could be an event of default and are investigating. In an event of
default lenders would have the possibility of early repayment from the collateral account
• In May 2010, Cukurova announced that they would be repaying the facilities in full on May 25th 2010.
• The IRR on this trade equated to 41%
21 B A
EFTA01114231
Event Trades - Examples
Event Rationale Trade Examples
Early refinancing / retirement of • Loans / bonds do not run to maturity Parmalat (detailed
existing tranches • CFO's often incentivized to "play it safe" description o✓erleaf) / Taylor
• Terming out amortizations with long term covenant lite Wimpey / Sevan
debt attractive
• Capital structure considerations
Sale of company • Debt / parts of debt structure refinanced on sale Tommy Hilfiger /
Cognis
Acquisitions • Debt structure may need to be refinanced to allow for
game-changing acquisition
IPO • Debt / parts of debt structure refinanced on IPO Amadeus / InterXion
• IPO deleveraging leads to spread compression
• Public market valuation often leads to spread
compression through validation of EV
Amendments • Fees paid on amendments enhance IRR Amadeus / Wind
Covenant breaches / default • Default may speed up recovery of par Petrojack
Significant variance in forecast • Market may not have done necessary in depth analysis Fage
22 B A
EFTA01114232
Parmalat Canada Private Placement Notes
► Parmalat Canada is Canada's 2nd largest milk producer, 3'd largest yogurt producer and 1st largest butter producer
► Parmalat Canada is owned by Parmalat Italy
• Parmalat Italy has net cash of €1.1bn and EBITDA of €365m
► Parmalat Canada never went insolvent at the time Parmalat Italy experienced its issues in 2003-2004
• Parmalat Canada has revenues and EBITDA of C$ 2.2 bn and CS 192m respectively
► Parmalat Canada has C$ 233m of 1st lien bank debt and C$ 65m of subordinated private placement notes
► Net leverage through the secured bank debt is 0.9x and through the private placement notes 1.3x
► The notes mature in 2010 and 2012 while the bank debt matures in 2011
• Coupon of 5%
► We purchased c. $9m of the private placement notes split b
ℹ️ Document Details
SHA-256
4df13337c2c535683f5d8bcb98c01bf8b1f7c8a7636a57e6497c18e18a2ac980
Bates Number
EFTA01114211
Dataset
DataSet-9
Document Type
document
Pages
30
Comments 0