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Portfolio Management II. William N. Goetzmann Yale School of Management, 1997. Overview. Asset and Liability Management Surplus Optimization in Global Context Technology of Interest Rate Exposure Structured Securities in the Portfolio. Asset - Liability Management.
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Portfolio Management II William N. Goetzmann Yale School of Management, 1997
Overview • Asset and Liability Management • Surplus Optimization in Global Context • Technology of Interest Rate Exposure • Structured Securities in the Portfolio
Asset - Liability Management • Markowitz model as starting point • Insight: riskless asset return not riskless to portfolio manager with liabilities • Liabilities can be fit into the optimization framework with the appropriate assumptions
Institutions and Liabilities • Lending institutions • Mortgage insurers • Pension funds • Life insurance companies • Corporations • Universities • Income-oriented portfolios
Lending Institutions • Thrifts with short-term liabilities • classic mis-match in duration of assets and liabilities • Mortgage banks with pre-commitments • locked-in mortgage rates represent liability • possibly complicated option features
Mortgage Insurers • Anticipated defaults • Conditional upon interest rates • the mortgage “put” • Conditional upon economy • unemployment • regional factors
Pension Funds • Defined benefit plans with accrued benefit obligations [ABO] • Actuarial forecast of needs • Risk characteristics of business • Pension fund as hedge against future contributions
Insurance Companies • Issuers of GIC’s • Long duration liabilities • Renewals conditional upon corporate credit risk • Renewals conditional upon other forms of savings
Corporations • Financing for projects • Comittments for delivery • Pension liability • [Total Balance Sheet Approach] • Cash needs and receivables
Universities • Well-defined outflows • Periodic building activity • Anticipated future alumni giving not matched
Income Oriented Portfolios • Family investment trusts seeking floor on income • Fixed income managers seeking to lock-in yields
Surplus Optimization • Optimize over ALL assets and liabilities • Liabilities are included as a “negative” asset • Institution constrained to hold this negative asset • Outcome optimizes over asset surplus
Total Balance Sheet Aproach • Consider uncertainty of future business • Plan for future anticipated accruals • Use portfolio to hedge future contributions • Allow positive correlations to own stock
Defining the Liability • Pension fund example: ABO • Actuarial forecast of future cash outflows to current beneficieries • Simple assumptions • Cash - flows are riskless • Cash flows are known
Liability Model • Model liabilties as portfolio of riskless securities • Duration can be long, depending on life-expectancy • Covariance with equities assumed zero • NPV and expected return given by actuaries • Risk characteristics given by bond portfolio of similar duration
Effect of Liability Constraint • Liability constraint lowers frontier • Feasible region of frontier depends on level of funding
Optimization in Surplus Framework • X axis is the spread between assets and liabilities • Y axis is the volatility of the spread
Example: Stocks, Bonds and PBO • $120 million pension fund • Pension is overfunded by 20% • Mix between stocks and bonds • S-B cor.=.50 • B-PBO cor. =.85 • S-PBO cor. =.50 Immunized Portfolio
Optimal Portfolio • Choose portfolio to minimize probability of underfunding • Tradeoff between underfunding and increasng surplus
Value at Risk • How much do I expect to lose 1 in 20 times? • The minimum value of potential loss for a given portfolio at a given time horizon at a given probability level. • E.G. VAR for a $100 million portfolio • with a daily std. of 1% at the 95% confidence level is $100 * 1.64 * 1%
VAR Issues • Assets and liabilities considered • Liabilities not easily marked to market • Example: Metallgeselschaft • long oil futures position marked to market • short oil position not marked to market
Portfolio Value at Risk VAR = $7.6 m. 5% prob. of drop to 12.4% underfunding
Global Fixed Income • Role of global bonds in portfolio • Relation to other assets • moderate correlation to U.S. bonds • currency risk may or may not be hedged • Relation to liabilities • lower covariance with U.S. liabilities • avoids “home country bias”
Limits to Portfolio Risk Tools • Mean-variance limits • symmetric return distribution • covariance captures exposure • no options • Beta risk model limits • assumes linearity in factor exposure
Interest Rate Exposure • Driven by Net Present Value • Perpetuity : PVt = CFt+1/r • No CF or discount rate uncertainty • Inverse value to interest rate relationship
Hedging Liabilities • Non-linear hedging • Duration • Convexity • Callability • Re-financing risk • Other option features • Major exposure to interest rate volatility
Duration • First-order approximation • VAR for interest rate sensitive portfolio • $ value * duration * 1.64 yield change
Interest-Rate Risk Control Tools for Asset /Liability Management • Forward and futures contracts • allow a lock-in of an interest rate • Options • protection of down-side or premium capture • Swaps • Change exposure fixed/floating • Options on futures or swaps • Structured interest rate agreements
Structured Notes • Interest rate agreements with conditions customized to buyer’s specifications • Payments often indexed to some financial variable i.e. a derivative. • May include currency features • May include non-linear structure
Caps, Floors & Collars • Interest rate cap • payment when rate exceeds ceiling • Interest rate floor • payment when rate falls below floor • Interest rate collar • buy a cap and sell a flooor
Floaters & Inverse Floaters • Floaters: coupon indexed to 6 month LIBOR • Inverse floaters: fixed coupon - 6 month LIBOR
Lending Institution • Long-duration assets • Short duration liabilties • Profit is the spread
Use of Interest Rate Cap • Cap protects against rising interest rates • Covariance depends upon yields • Mean-variance does’t work
Insurance Company Portfolio • Long-term liabilities • E.g. 5 yr. GIC with fixed rate • Considering purchase of a floater
Portfolio with Interest-Rate Floor • Floor pays when rates drop • Allows increase when rates rise • Equivalent to a package of options • Mean-variance doesn’t work
Structured Securities in Global Context • Currency is additional dimension for hedge • Opportunities in cross-border spread differentials • Contracts allow long-term lock-ins with rates and currencies • Contracts allow asymmetric payoffs • Contracts allow maximums over markets
Asset-Liability Management • Asset-liability correlation is key • Emphasizes fixed income • Allows surplus optimization • Framework for VAR
Beyond Mean-Variance • Interest rate factor dominates • Liabilities valued by NPV • Assets for financial institutions • VAR uses duration and convexity
Financial Innovation • Structured note development • arose from detailed interest rate analysis • driven by additional hedging factors • Insurance for institutions • Speculation for arbitrageurs • Spreads for market makers