Presentation from 2013 NACUBO in Indianapolis with a focus on risk management. Co-presented with Thomas Richards (University of Missouri System) and Sherry Mondou (University of Puget Sound). My slides are pp3-12.
Stock Market Brief Deck for "this does not happen often".pdf
Active Debt Management for Two Institutions
1. Active Management of the
Debt Portfolio
Remy Hathaway, Prager & Co., LLC
Sherry Mondou, University of Puget Sound
Thomas Richards, University of Missouri System
2. Prager & Co. LLC, Financial Advisor to two Very Different
Institutions
University of Missouri University of Puget Sound
3. Policy, Strategy and Implementation
Comprehensive policy covering debt, derivatives and
liquidity
Short—so people will read it
Establishes risk framework, then optimizes cost
Ongoing communication strategy at enterprise level
Financing strategy driven by (in order)
1. Mission
2. Existing portfolio and institutional risk
3. Transactional economics
Evaluation of outcomes—including extreme ones
4. Strategy – Risk-First Framework
Most debt policies use phrase “risk-adjusted cost of capital” or
“risk tolerance” but do not quantify it
Starting with risk—especially tail events—allows the
institution to elect where and how much risk is acceptable
Taking into account other institutional risks (e.g. market
rate risk and tax risk)
Compensation for risk must be considered. Is it worth it,
and where else might we be better compensated for risk?
6. Risk Assessment - Categorization
Debt Service Risk: “How much different could debt service be
from what’s in the budget?”
Market Rate Risk
Credit Risk
Tax Risk (and Basis Risk)
Liquidity Repricing Risk
Counterparty
Performance Risk
Liquidity Risk: “How much of the balance sheet is exposed to
the debt portfolio?
Reissuance/Remarketing Risk
Liquidity Facility Renewal/Failure Risk
Swap Collateralization Risk
Swap Termination Risk
7. One More Risk – Brain Damage Risk
How much management and staff time is dedicated to
managing the debt portfolio?
Issuance/refundings
Renegotiation of liquidity facilities
Managing puts/liquidity events
How much board/regent/trustee time is spent?
Is there an appropriate return on invested time? On future
expected demands on time?
8. Debt Service Risk – From Complex to Basic
Max
Rate Ratio Change Impact % of O.E.
Market Rate Risk
195 Tax-Exempt Variable-Rate 0.11% 2.9% 5.6
75 Taxable Variable-Rate 0.40% 4.6% 3.4
-165 LIBOR Fixed Payer Receipt 0.15% 67% 3.1% -5.1
LIBOR Fixed Receiver Payment
SIFMA Fixed Payer Receipt
SIFMA Fixed Receiver Payment
Basis Swap Payment
Basis Swap Receipt
4.0 0.6%
Tax Risk
195 Tax-Exempt Variable-Rate 1.7% 3.3
SIFMA Fixed Payer Receipt
SIFMA Fixed Receiver Payment
Basis Swap Payment
Basis Swap Receipt
BABs Subsidy
3.3 0.5%
Credit Risk
195 Tax-Exempt Variable Rate 0.11% 4.0% 7.8
75 Taxable Variable Rate 0.40% 7.0% 5.3
13.1 2.1% $ Millions % of O.E.
Liquidity Repricing Risk Maximum One-Year Risk: 15.1 2.4%
100 Liquidity Facility 2.0% 2.0 0.3% 50% of Maximum 11.2 1.8%
25% of Maximum 5.6 0.9%
Counterparty Performance Risk
-165 Swap Notional 0.0 0.0%
0%
1%
2%
3%
Market Rate
Risk
Tax Risk
Credit Risk
Liquidity
Repricing Risk
Counterparty
Performance
Risk
Max Debt Service Risk Components
(as percentage of 1 Year Operating Expenses)
9. Measuring Risk in Context
$ Millions % of O.E.
Maximum One-Year Risk: 4.6 4.6%
50% of Maximum 2.3 2.3%
25% of Maximum 1.2 1.1%
0%
1%
2%
3%
4%
Market Rate Risk
Tax Risk
Credit Risk
Liquidity
Repricing Risk
Counterparty
Performance
Risk
Max Interest Rate Risk Components
(as percentage of 1 Year Operating Expenses)
$ Millions % of E.R.
75.2 49.5%
50.1 33.0%
37.5 24.7%25% of Maximum
Maximum Three-Year Risk:
50% of Maximum
0%
10%
20%
30%
40%
Reissuance Risk
Facility Renewal
Risk
Collateralization
Risk
Swap Termination
Risk
Max Liquidity Risk Components
(as percentage of Expendable Resources)
10. Example: Collateralization/Termination Exposure
How useful are historical results?
(70%)
(60%)
(50%)
(40%)
(30%)
(20%)
(10%)
0%
10%
1963 1968 1973 1978 1983 1988 1993 1998 2003 2008 2013
Backward-Looking Maximum Percentage Declines in 10-Year Treasury
From One-Year Prior
From Three Years Prior
5/30/84-8/21/86:
51% decline within
three years
4/17/85-4/16/86:
38% decline within
one year
Source: Federal Reserve
11. Projecting Short-Term Rates using Fed Funds
(Fed Funds History + Projections = Potential Outcomes)
30Y Low:4.51%
Average: 5.21%
30Y High: 7.53%
0%
5%
10%
15%
20%
1954
1959
1964
1969
1974
1979
1984
1989
1994
1999
2004
2009
Source: Federal Reserve
0%
1%
2%
3%
4%
5%
6%
7%
12/31/2012
12/31/2013
12/31/2014
12/31/2015
12/31/2016
12/31/2017
12/31/2018
12/31/2019
12/31/2020
12/31/2021
12/31/2022
12/31/2023
12/31/2024
12/31/2025
12/31/2026
12/31/2027
Fed Funds Expected Rate Range
(6/19/2013 Release)
Most hawkish governor up
to highest 30-year average
Median governor up
to 60-year average
Most dovish governor
up to lowest long-term
target rate.
12. “It is better to be vaguely right than exactly
wrong.”
-Carveth Read
13. The Experience of Two Very Different Institutions,
one large…
University of Missouri
System
Public research university with 4
campuses + health system
Enrollment 75,000
Endowment $1 billion
$2.7 billion operating expenses
$1.3 billion debt outstanding
Aa1 / AA+
Treasurer and Interim VP
Finance
14. Policy / Governance – University of Missouri
Recently adopted comprehensive policy for debt and
derivatives management
Outlines authority, responsibilities and reporting
Board approves any issuance of debt
Board receives quarterly comprehensive reporting on portfolio
Board receives annual evaluation of debt capacity, given anticipated
debt-financed projects within a five year timeframe
Establishes framework for evaluating risks in debt
portfolio as well as any new issuance of debt
Board receives annual debt portfolio risk assessment
Policy does not define specific limits, giving maximum
flexibility to management team and Board.
15. Strategic Restructuring – University of Missouri
Recently launched $350 million commercial paper program
capable of issuing either taxable or tax exempt paper.
CP provides particular flexibility during construction phase of
capital projects, allowing for low cost “just-in-time” financing
with ability to convert to permanent financing at any time.
CP program was structured in a manner that minimizes our
need to provide daily self-liquidity by establishing a $100
million cap on CP maturing within any seven day time period.
Even with $350 million in CP outstanding, daily liquidity
requirement remains $100 million due to the cap.
16. Strategic Restructuring – University of Missouri
Prior to CP Program
$100 million weekly reset VRDBs
$120 million daily reset VRDBs
$220 million daily self-liquidity requirement
Post CP Program Launch
$100 million weekly reset VRDBs remain outstanding
$120 million daily reset VRDBs converted to CP
$60 million new CP issued
$200 million daily self-liquidity requirement
Total variable rate debt increased from $220 million to $280
million, yet daily self-liquidity requirement decreased from
$220 million to $200 million
17. Strategic Restructuring – University of Missouri
By reducing our daily self-liquidity requirement and
essentially capping it at $200 million, we can better optimize
the investment of our working capital to generate additional
return.
Opportunity cost of holding daily self-liquidity could easily be
100-300bps when compared to other alternatives.
Our General Pool (essentially working capital) averages $1.7
billion throughout the year. Optimization of risk-adjusted
returns is a top priority as investment income helps fund
operations.
18. The Experience of Two Very Different Institutions,
one small…
University of Puget
Sound, Tacoma, WA
National residential liberal
arts college
Enrollment 2650
Operating budget $120
million
Endowment $275 million
$75 million debt outstanding
A1/A+ rating
VP Finance & Administration
with broad portfolio
19. Policy / Governance – University of Puget Sound
First adopted debt policy in 2005; now refined annually
Provides general framework
Based in mission and strategic goals, with the long term in mind
Debt is a valuable and scarce resource
Consider affordability, risks, financial structure
Monitor capital markets, refunding and other opportunities
No specific limits, allows flexibility
Clarifies responsibilities
Board approves issuance of debt, committee approves terms
Management, with expert counsel, monitors market and risk, makes
recommendations, negotiates terms, interfaces with external parties
Board receives annual review of debt portfolio risk
20. Goals of 2012 Transaction – University of Puget Sound
Improve student success
through strong residential
programming
Policy change, programs,
bed capacity
Manage debt portfolio risks
Within context of broad
institutional risks
Decrease debt portfolio
risk
Retain debt capacity at
A1/A+ rating
21. Risk Assessment and Strategic Restructuring –
University of Puget Sound
Comprehensive assessment of risk profile
A year in advance of anticipated debt financing
Changing market conditions
Changes in board’s risk tolerance or risk allocation?
Strategic residential objective, upcoming debt financing
Prager & Co. as financial advisor served as an extension of
university staff
Assessment of financial condition, risks, credit and debt capacity, peer
analysis, structures, etc
Quantitative analysis of options
22. Risk Assessment and Strategic Restructuring –
University of Puget Sound
The portfolio before the transaction:
$60 million VRDNs, all synthetically fixed, structured in
different rate environment, still low cost of capital,
performed well to date
$10 mil, 3.6% all-in, self-liquidity, Soc-Gen long-term swap
$50 mil ($20 + $30), 4.3% all-in, bank LOC, BoNY long-term swap
Board not as comfortable with debt risks as they once
were
Swap counterparty performance
Mismatch between 67% LIBOR and SIFMA
Failed remarketing, deterioration of LOC provider credit
Liquidity (LOC) renewal/repricing risk in 2012
23. Risk Assessment and Strategic Restructuring –
University of Puget Sound
Should we issue traditional fixed rate on new money for
residence hall?
Should we convert all or some of VRDNs to fixed rate?
How would we handle outstanding swaps?
What would be the budget impact?
Should we consider a direct bank purchase vs. new LOC
provider for all or some of our variable rate debt?
25. Risk Assessment and Strategic Restructuring –
University of Puget Sound
The Transaction
Issued new debt at fixed rate for residence hall
Refunded 30% of VRDNs and converted to fixed rate, retained
orphan swap with intent to terminate when conditions are
favorable
Refunded 50% of VRDNs through a 7-year direct purchase
transaction, retained swap
Retained 20% of VRDNs with self-liquidity, retained swap,
may terminate swap in future
26. Risk Assessment and Strategic Restructuring –
University of Puget Sound
End result
47% traditional fixed
40% variable rate direct bank purchase, synthetically fixed
13% VRDN with self liquidity, synthetically fixed
Reduced interest rate risk and liquidity risk
Expected WACC of 4.79% and within Board’s risk comfort
Level debt service affordable in budget, with new money
structured to accommodate temporary orphaned swap
27. Ongoing Monitoring and Reporting
Puget Sound assesses debt portfolio review annually,
including risk trend
28. Additional Considerations (at Issuance and Beyond)
Taxable vs Tax-Exempt
Cost differential
Reporting requirements
Value/cost of par call for tax-exempt debt
Term
Direct purchase: renewal risk at put date
Matched to project life
Longer to allow recycling/internal bank structures
Issuance Timing
Interest rate outlook
Negative arbitrage in refundings
Hedging efficacy/outcomes
29. Conclusions
Clear policy should drive debt portfolio decisions
Portfolio risks and outcomes must be monitored on an
ongoing basis
Quantitative frameworks should be established for budget
and balance sheet outcomes
Current and pro forma debt portfolio
30. Resources
University of Missouri System Debt Policy
http://www.umsystem.edu/ums/fa/treasurer/debt_policy
University of Missouri System Quarterly Debt Report
http://www.umsystem.edu/ums/fa/treasurer/debt_snapshot_reports
Federal Reserve Historical Data
http://www.federalreserve.gov/releases/h15/data.htm
Federal Reserve Interest Rate Projections
http://www.federalreserve.gov/monetarypolicy/fomccalendars.htm
(Click on “PDF” under Projections Materials)
31. Appendix – Why Fed Funds?
Quarterly average SIFMA rates (and LIBOR rates) correlate
very well with Fed Funds, but with more history.
y = 63.23%x + 0.37%
R² = 94.82%
0%
1%
2%
3%
4%
5%
6%
7%
8%
0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10%
SIFMA
Fed Funds (Effective, 3-Day Lag)
Least Squares Regression (Quarterly Average, n=88)
Source: Federal Reserve, SIFMA
32. Appendix – Why the 10-Year Treasury?
Good correlation with LIBOR Swap Rates…not so much MMD,
but even MMD is generally reasonable, and there’s more
history.
y = 1.0505x + 0.0073
R² = 0.9632
y = 0.4935x + 0.0254
R² = 0.6619
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0%
10-Year Treasury Rate
Interest Rate Correlations with 10-Year Treasury (1998-Present)
100% of 30 Yr LIBOR Swap Curve
30 Yr Tax-Exempt Fixed Rate
Linear (100% of 30 Yr LIBOR Swap Curve)
Linear (30 Yr Tax-Exempt Fixed Rate)
Source: Federal Reserve, Thompson, Bloomberg