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‘Sensibilité d’une rente viagère à l’extrapolation
de la courbe des taux dans un contexte LTGA’,
JIRF 2015
Thierry Moudiki (ISFA, Université Lyon 1)
May 21st, 2015
Solvency II economic balance sheet, technical provisions
Solvency II? QIS5? LTGA?
Simplified balance sheet
Assets Liabilities
Assets - Available capital
at - Solvency Capital Requirement (SCR)
market - Risk Margin
value - Best Estimate Liabilities
‘Fair’ valuation ∼ Assets marked to market + Liabilities
marked to model
Technical provisions = Best Estimate Liabilities + Risk
Margin
Best Estimate Liabilities (BEL) explained
BELt =
T
E[D(t, T)CFT |Ft ⊗ Tt]
D(t, T): stochastic discount factor
CFT : future cash-flows
Ft ⊗ Tt: financial and technical information at t
Simple case: CFT deterministic/highly predictable
Difficult case: CFT depending on financial and technical
information
In the article:
CFT : deterministic, mortality risk mutualized
d(t, T) := E[D(t, T)|Ft] = ? = critical input
Solvency II term structure of discount factors
How to derive d(t, T) within Solvency II?
Liquid part
Par swap rates
Parallel shift for credit risk deduction (10 bps)
+ Volatility adjustment (optional)
+ Matching adjustment (optional)
Extrapolated part
Last Liquid Point (LLP)
Ultimate Forward Rate (UFR)
Convergence speed (α) ∼ convergence period (years)
Bootstrap, interpolation, extrapolation: Smith-Wilson
Solvency II term structure of discount factors (cont’d)
Solvency II interpolation/extrapolation explained
Solvency II term structure of discount factors (cont’d)
UFR?
Endogeneous UFR = f∞ = f∞(t)
Vasicek-Fong (1982): French Institute of Actuaries
d(t, s) =
m
βm,se−mf∞(s−t)
Nelson & Siegel (1987) or Svensson (1994): Central Banks
d(t, s) = exp (−(s − t) (f∞ + β1K1(t, s) + β2K2(t, s)))
Exogeneous UFR = f∞ = constant
Smith-Wilson (2001): Solvency II
d(t, s) = e−f∞(s−t)
+
m
βmKm(t, s)
Solvency II term structure of discount factors (cont’d)
Problem with an endogeneous UFR: potential volatility
induced in liabilities
ECB data; calibration with Svensson method (Blue = AAA
Bonds, Red = All Bonds)
2004 2006 2008 2010 2012 2014
01234567
Calibration date
UFR
Solvency II term structure of discount factors (cont’d)
The case for a fixed exogeneous UFR for insurance
High demand on long-term swaps from pension funds,
artificially driving long rates down?
More stable liabilities valuation
UFR = Expected inflation + Expected real interest rates
UFR = fixed since 5 years = 4.2% = 2% + 2.2%
Results from the article
Based on a fixed annuity valuation
Fixed cash-flows depending on a mortality table (mutualized
mortality risk)
Additional benefits cash-flows depending of implied forward
Aggregated cash-flows discounted, using Smith-Wilson for,
interpolation and extrapolation (swap curve at 12/31/2011)
Results on the valuation
1. On interpolation with a ‘complicated’ (realistic, but not so
common) benchmark curve
2. On the dependence with UFR and convergence speed
3. On the dependence with LLP and convergence speed
Results from the article (cont’d)
On interpolation
Implied forwards on “A Curve where all cubic splines produce
negative rates” (Hagan & West (2006))
Results from the article (cont’d)
On interpolation (cont’d)
Results from the article (cont’d)
Extrapolation: UFR/convergence speed dependence (fixed
LLP = 20)
Results from the article (cont’d)
Extrapolation: Cv. speed/LLP dependence (UFR = 4.2%)
Results from the article
A ‘Shiny App’ showing the impact of LLP, UFR and α on a
annuity
Just run the following commands in R (internet connexion
required, tested on Safari and Chrome)
# Loading Shiny package
library(shiny)
# Run the app in your browser; execs code from my Gist
runGist("ee4e7b9506a09e5d7cb8")
“Problem” with an exogeneous UFR
Hedging current UFR (increasing basis with low rates)?
Reasonable macroeconomic assumptions (2%+2.2%) ?
UFR implied vs market implied forwards rates
on EUR swap curves
impliedforwardrates
0 5 10 15 20 25 30
0.000.010.020.030.04
2013
2014
Future work
About the inclusion of insurer’s assets returns in a framework
On interpolation/extrapolation for valuation
On forecasting for the ORSA (Own Risk Solvency Assessment,
Solvency II pillar 2)
On low interest rates impacts

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Impact of Solvency II yield curve extrapolation parameters on the valuation of an annuity (English)

  • 1. ‘Sensibilité d’une rente viagère à l’extrapolation de la courbe des taux dans un contexte LTGA’, JIRF 2015 Thierry Moudiki (ISFA, Université Lyon 1) May 21st, 2015
  • 2. Solvency II economic balance sheet, technical provisions Solvency II? QIS5? LTGA? Simplified balance sheet Assets Liabilities Assets - Available capital at - Solvency Capital Requirement (SCR) market - Risk Margin value - Best Estimate Liabilities ‘Fair’ valuation ∼ Assets marked to market + Liabilities marked to model Technical provisions = Best Estimate Liabilities + Risk Margin
  • 3. Best Estimate Liabilities (BEL) explained BELt = T E[D(t, T)CFT |Ft ⊗ Tt] D(t, T): stochastic discount factor CFT : future cash-flows Ft ⊗ Tt: financial and technical information at t Simple case: CFT deterministic/highly predictable Difficult case: CFT depending on financial and technical information In the article: CFT : deterministic, mortality risk mutualized d(t, T) := E[D(t, T)|Ft] = ? = critical input
  • 4. Solvency II term structure of discount factors How to derive d(t, T) within Solvency II? Liquid part Par swap rates Parallel shift for credit risk deduction (10 bps) + Volatility adjustment (optional) + Matching adjustment (optional) Extrapolated part Last Liquid Point (LLP) Ultimate Forward Rate (UFR) Convergence speed (α) ∼ convergence period (years) Bootstrap, interpolation, extrapolation: Smith-Wilson
  • 5. Solvency II term structure of discount factors (cont’d) Solvency II interpolation/extrapolation explained
  • 6. Solvency II term structure of discount factors (cont’d) UFR? Endogeneous UFR = f∞ = f∞(t) Vasicek-Fong (1982): French Institute of Actuaries d(t, s) = m βm,se−mf∞(s−t) Nelson & Siegel (1987) or Svensson (1994): Central Banks d(t, s) = exp (−(s − t) (f∞ + β1K1(t, s) + β2K2(t, s))) Exogeneous UFR = f∞ = constant Smith-Wilson (2001): Solvency II d(t, s) = e−f∞(s−t) + m βmKm(t, s)
  • 7. Solvency II term structure of discount factors (cont’d) Problem with an endogeneous UFR: potential volatility induced in liabilities ECB data; calibration with Svensson method (Blue = AAA Bonds, Red = All Bonds) 2004 2006 2008 2010 2012 2014 01234567 Calibration date UFR
  • 8. Solvency II term structure of discount factors (cont’d) The case for a fixed exogeneous UFR for insurance High demand on long-term swaps from pension funds, artificially driving long rates down? More stable liabilities valuation UFR = Expected inflation + Expected real interest rates UFR = fixed since 5 years = 4.2% = 2% + 2.2%
  • 9. Results from the article Based on a fixed annuity valuation Fixed cash-flows depending on a mortality table (mutualized mortality risk) Additional benefits cash-flows depending of implied forward Aggregated cash-flows discounted, using Smith-Wilson for, interpolation and extrapolation (swap curve at 12/31/2011) Results on the valuation 1. On interpolation with a ‘complicated’ (realistic, but not so common) benchmark curve 2. On the dependence with UFR and convergence speed 3. On the dependence with LLP and convergence speed
  • 10. Results from the article (cont’d) On interpolation Implied forwards on “A Curve where all cubic splines produce negative rates” (Hagan & West (2006))
  • 11. Results from the article (cont’d) On interpolation (cont’d)
  • 12. Results from the article (cont’d) Extrapolation: UFR/convergence speed dependence (fixed LLP = 20)
  • 13. Results from the article (cont’d) Extrapolation: Cv. speed/LLP dependence (UFR = 4.2%)
  • 14. Results from the article A ‘Shiny App’ showing the impact of LLP, UFR and α on a annuity Just run the following commands in R (internet connexion required, tested on Safari and Chrome) # Loading Shiny package library(shiny) # Run the app in your browser; execs code from my Gist runGist("ee4e7b9506a09e5d7cb8")
  • 15. “Problem” with an exogeneous UFR Hedging current UFR (increasing basis with low rates)? Reasonable macroeconomic assumptions (2%+2.2%) ? UFR implied vs market implied forwards rates on EUR swap curves impliedforwardrates 0 5 10 15 20 25 30 0.000.010.020.030.04 2013 2014
  • 16. Future work About the inclusion of insurer’s assets returns in a framework On interpolation/extrapolation for valuation On forecasting for the ORSA (Own Risk Solvency Assessment, Solvency II pillar 2) On low interest rates impacts