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Maturity Transformation and Interest Rate Risk in Large European ...

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Table 5: Summary statistics for the yield curve data, <strong>in</strong> percentage po<strong>in</strong>ts.series mean sd m<strong>in</strong> max series mean sd m<strong>in</strong> maxEONIA Index 2.47 1.44 0.08 5.16 EUSA3 Curncy 3.23 1.26 0.47 5.59EUR001M Index 2.52 1.43 0.11 5.05 EUSA30 Curncy 4.45 1.05 1.86 6.22EUR001W Index 2.45 1.44 0.08 4.89 EUSA35 Curncy 3.81 0.80 1.86 5.05EUR002M Index 2.59 1.43 0.15 5.13 EUSA4 Curncy 3.40 1.21 0.60 5.65EUR003M Index 2.67 1.40 0.19 5.28 EUSA40 Curncy 4.12 0.92 1.87 5.99EUR004M Index 2.70 1.38 0.23 5.32 EUSA45 Curncy 3.84 0.82 1.88 5.14EUR005M Index 2.74 1.36 0.28 5.36 EUSA5 Curncy 3.56 1.16 0.77 5.71EUR006M Index 2.77 1.34 0.32 5.38 EUSA50 Curncy 4.07 0.90 1.89 5.74EUSA1 Curncy 2.87 1.36 0.33 5.38 EUSA6 Curncy 3.70 1.13 0.95 5.76EUSA10 Curncy 4.09 1.04 1.56 5.95 EUSA7 Curncy 3.82 1.10 1.12 5.82EUSA11 Curncy 4.07 1.01 1.68 5.98 EUSA8 Curncy 3.92 1.08 1.29 5.86EUSA12 Curncy 4.22 1.01 1.79 6.06 EUSA9 Curncy 4.01 1.06 1.43 5.89EUSA15 Curncy 4.35 1.00 1.91 6.16 EUSWG Curncy 2.72 1.53 0.32 5.35EUSA1F Curncy 2.92 1.34 0.35 5.43 EUSWH Curncy 2.73 1.52 0.32 5.30EUSA2 Curncy 3.04 1.31 0.38 5.52 EUSWI Curncy 2.74 1.49 0.32 5.31EUSA20 Curncy 4.46 1.01 1.92 6.22 EUSWJ Curncy 2.74 1.52 0.32 5.33EUSA25 Curncy 4.43 1.03 1.90 6.22 EUSWK Curncy 2.75 1.52 0.32 5.343 Method3.1 A theory of maturity transformation <strong>and</strong> its relation to <strong>in</strong>terest rateriskConsider a f<strong>in</strong>ancial <strong>in</strong>stitution that enters <strong>in</strong>to contractual arrangements with other parties. Thesecontractual agreements b<strong>in</strong>d the <strong>in</strong>stitution <strong>in</strong>to mak<strong>in</strong>g <strong>and</strong> receiv<strong>in</strong>g payments many years <strong>in</strong>tothe future. Let us imag<strong>in</strong>e that there are f<strong>in</strong>itely many characteristics of these future cashflowsthat are relevant for determ<strong>in</strong><strong>in</strong>g the price today of transferr<strong>in</strong>g these rights <strong>and</strong> obligations toother <strong>in</strong>stitutions. We could call this set of characteristics Ω, <strong>and</strong> we could write Ω = X × T forsome f<strong>in</strong>ite sets X <strong>and</strong> T with T ⊂ R + to record the fact that among these characteristics will bethe contractual maturity or repric<strong>in</strong>g date of each cashflow (T ). The f<strong>in</strong>ancial <strong>in</strong>stitution is thereforedef<strong>in</strong>ed by its asset <strong>and</strong> liability cashflow streams { }{ }A x,t ∈ R : (x, t) ∈ X × T ⊂ R N × R + <strong>and</strong>Lx,t ∈ R : (x, t) ∈ X × T ⊂ R N × R + respectively, where x ∈ X ⊂ R N is an <strong>in</strong>dex<strong>in</strong>g set 18 <strong>and</strong>t ∈ T ⊂ R + is time <strong>in</strong>to the future. 19 We can def<strong>in</strong>e the net asset stream or equity stream us<strong>in</strong>g afunctional application of the account<strong>in</strong>g identity E {E x,t A x,t − L x,t : (x, t) ∈ X × T }. The equitystream can be thought of as the future profit or future net cashflow <strong>in</strong> the firm emerg<strong>in</strong>g over time <strong>in</strong>every tradable claim x ∈ X.We can say that an <strong>in</strong>stitution engages <strong>in</strong> net asset transformation if ∃(x, t), (x ′ , t ′ ) ∈ X × T suchthat E x,t ≠ E x ′ ,t′, or <strong>in</strong> words, if there are differences <strong>in</strong> its borrow<strong>in</strong>g <strong>and</strong> lend<strong>in</strong>g across characteristics<strong>in</strong> X × T . We give a graphical representation of transformation <strong>in</strong> Figure 6 , where an <strong>in</strong>termediaryis a net borrower of some tradable claims <strong>and</strong> a net lender of others. <strong>Maturity</strong> transformation is thena special case of net asset transformation <strong>and</strong> could be def<strong>in</strong>ed local to some x ∈ X or globally <strong>in</strong> allx ∈ X . An <strong>in</strong>termediary engages <strong>in</strong> local maturity transformation at x ∈ X if ∃t, t ′ ∈ T such thatE x,t ≠ E x,t ′, which says that the <strong>in</strong>termediary transforms assets of type x ∈ X from various maturities<strong>in</strong>to other maturities, while an <strong>in</strong>termediary engages <strong>in</strong> global maturity transformation if ∃t, t ′ ∈ Tsuch that ∑ x E x,t ≠ ∑ x E x,t ′. We can further talk of positive or negative maturity transformation,18 The <strong>in</strong>dex x ∈ X could be thought of as measurable time-<strong>in</strong>variant classifications of assets <strong>and</strong> liabilities relevant tothe price of a contract. Formally, X = Ω\T . Examples are sector, geographic, <strong>and</strong> rat<strong>in</strong>gs-based classifications of assets<strong>and</strong> liabilities. In the context of assess<strong>in</strong>g the revaluation effect of changes <strong>in</strong> asset prices or <strong>in</strong>terest rates, we assumethat we have a complete market so that we can treat every element x ∈ X as a tradable claim with a measurable price.We will require that X be f<strong>in</strong>ite, or <strong>in</strong> other words |X| < ∞. The <strong>in</strong>dex<strong>in</strong>g set X is relevant for group<strong>in</strong>g assets <strong>and</strong>liabilities that are traded together, have similar prices (which may or may not be related to others through substitutioneffects) <strong>and</strong> whose risk characteristics are therefore similar.19 We will require |T | < ∞, which does not <strong>in</strong> pr<strong>in</strong>ciple preclude the <strong>in</strong>stitution from hold<strong>in</strong>g non-matur<strong>in</strong>g assets likestocks.15

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