Inflation-Linked Products 20. February 2007 Claus Madsen

Similar documents
16. Inflation-Indexed Swaps

PRICING OF INFLATION-INDEXED DERIVATIVES

Inflation-indexed Swaps and Swaptions

Building a Zero Coupon Yield Curve

Challenges In Modelling Inflation For Counterparty Risk

(c) Ver CZK

1 Interest Based Instruments

Lecture 8. Treasury bond futures

FIXED INCOME I EXERCISES

Operational Risk. Robert Jarrow. September 2006

Market interest-rate models

Interest rate models and Solvency II

European call option with inflation-linked strike

Derivatives Options on Bonds and Interest Rates. Professor André Farber Solvay Business School Université Libre de Bruxelles

Interest Rate Forwards and Swaps

Callability Features

Term Structure Lattice Models

Fixed-Income Options

Financial Engineering with FRONT ARENA

Practical example of an Economic Scenario Generator

Martingale Methods in Financial Modelling

IMPA Commodities Course : Forward Price Models

Pricing Amortizing Bond and Accreting Bond

Advanced Topics in Derivative Pricing Models. Topic 4 - Variance products and volatility derivatives

Martingale Methods in Financial Modelling

COPYRIGHTED MATERIAL III.1.1. Bonds and Swaps

Hedging Credit Derivatives in Intensity Based Models

************************

FIXED INCOME SECURITIES

The Mathematics of Currency Hedging

Dynamic Relative Valuation

Introduction. Practitioner Course: Interest Rate Models. John Dodson. February 18, 2009

Interest Rate Bermudan Swaption Valuation and Risk

Swaps. Bjørn Eraker. January 16, Wisconsin School of Business

Stochastic Processes and Stochastic Calculus - 9 Complete and Incomplete Market Models

Glossary of Swap Terminology

Interest Rate Cancelable Swap Valuation and Risk

Unlocking the secrets of the swaptions market Shalin Bhagwan and Mark Greenwood The Actuarial Profession

Lecture 9. Basics on Swaps

Financial Risk Measurement/Management

On the Pricing of Inflation-Indexed Caps

FINANCING IN INTERNATIONAL MARKETS

A Hybrid Commodity and Interest Rate Market Model

Contents. 1. Introduction Workbook Access Copyright and Disclaimer Password Access and Worksheet Protection...

Economic Scenario Generator: Applications in Enterprise Risk Management. Ping Sun Executive Director, Financial Engineering Numerix LLC

Financial Risk Measurement/Management

FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A

CALIBRATION OF THE HULL-WHITE TWO-FACTOR MODEL ISMAIL LAACHIR. Premia 14

Convenience Yield Calculator Version 1.0

EXAMINATION II: Fixed Income Valuation and Analysis. Derivatives Valuation and Analysis. Portfolio Management

Introduction to Financial Mathematics

No arbitrage conditions in HJM multiple curve term structure models

Chapter 15: Jump Processes and Incomplete Markets. 1 Jumps as One Explanation of Incomplete Markets

LIBOR models, multi-curve extensions, and the pricing of callable structured derivatives

Crashcourse Interest Rate Models

Cross Currency Swaps. Savill Consulting 1

Amortizing and Accreting Swap Vaulation Pratical Guide

Floating Rate Notes Valuation and Risk

AN ANALYTICALLY TRACTABLE UNCERTAIN VOLATILITY MODEL

Callable Bond and Vaulation

FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A

CANADIAN CONVENTIONS IN FIXED INCOME MARKETS

Problems and Solutions

Puttable Bond and Vaulation

Interest rate models in continuous time

1.1 Implied probability of default and credit yield curves

FIN 684 Fixed-Income Analysis Swaps

Forwards and Futures. Chapter Basics of forwards and futures Forwards

Forward Risk Adjusted Probability Measures and Fixed-income Derivatives

Fixed Income Investment

Modeling Fixed-Income Securities and Interest Rate Options

Notes on convexity and quanto adjustments for interest rates and related options

Solvency II yield curves

SOLUTIONS 913,

QF 101 Revision. Christopher Ting. Christopher Ting. : : : LKCSB 5036

1. What is Implied Volatility?

Financial Market Introduction

Debt Investment duration c. Immunization risk shift in parallel immunization risk. Matching the duration

Inflation Indexed Bond Valuation Introduction

Risk managing long-dated smile risk with SABR formula

MFE8812 Bond Portfolio Management

( ) since this is the benefit of buying the asset at the strike price rather

Spectral Yield Curve Analysis. The IOU Model July 2008 Andrew D Smith

Continuous-Time Consumption and Portfolio Choice

SYLLABUS. IEOR E4728 Topics in Quantitative Finance: Inflation Derivatives

Linearity-Generating Processes, Unspanned Stochastic Volatility, and Interest-Rate Option Pricing

Illiquidity, Credit risk and Merton s model

Chapter 2: BASICS OF FIXED INCOME SECURITIES

Fitting linkers into a portfolio

Introduction to Bond Markets

25. Interest rates models. MA6622, Ernesto Mordecki, CityU, HK, References for this Lecture:

EXAMINATION II: Fixed Income Valuation and Analysis. Derivatives Valuation and Analysis. Portfolio Management

Fixed-Income Analysis. Assignment 5

Interest Rate Volatility

Bond Analysis & Valuation Solutions

Derivative Securities Fall 2007 Section 10 Notes by Robert V. Kohn, extended and improved by Steve Allen. Courant Institute of Mathematical Sciences.

Math Credit Risk Modeling. M. R. Grasselli and T. R. Hurd Dept. of Mathematics and Statistics McMaster University Hamilton,ON, L8S 4K1

Introduction to credit risk

Interest Rate Capped Swap Valuation and Risk

Mathematical Modeling, Lecture 1

Transcription:

February 2006 Inflation-Linked Products 20. February 2007 Claus Madsen

Agenda The Market 2 The CPI-Curve and Seasonality 7 Building the CPI-Curve 12 Inflation-and Interest-Rate Risk 19 Liability Management 23 F I N E F U N C T I O N L I B R A R Y Modelling Inflation 29 1

The Market - I Inflation Swaps (USD, EUR, GBP and JPY) Zero-Coupon Swap YoY (Year-on-Year) Index-Linkers (USD, GBP, FRF, SEK, CAD) CIB (IZCB) (IIB Australia 1988) (CPB Turkey 1997-1999) (IAB Australia) 2

The Market II Zero-Coupon Inflation-Swaps: Standard broker market swaps Payer pays at maturity: HICP( m l) N HICP ( s l ) 1 Receiver recieves at maturity: T N (1 + K) 1 where s = Start-Date, m = Maturity-Date, l = Lag (typically 2 or 3 month), N is the principal and T = number of years. YoY Inflation-Swaps: Payer pays at maturity: HICP( p l) ND HICP ( p ( l + 12)) 1 Receiver receives at maturity: NDK. (D is the day-count fraction) 3

The Market III The Indexing Process for Index-Linkers uses as standard the so-called Canadian- Model, which can be explained as follows: The index-ratio for a given settlement date is calculated as follows: IR SettlementDate = CPI CPI ref base The reference CPI for the first day of any calendar month is the CPI for the calendar month falling 3 month earlier, that is the reference CPI for 1 june corresponds to the CPI for march etc. The reference day for any other day in the month is calculated by linear interpolation see the next slide.. 4

The Market IV The formula that is used to calculate the reference CPI can be written as: m t 1 m+ 1 m CPIref = CPIref + CPIref CPIref d Where d = the number of days in the calendar month in which the settlement date falls, t = the calendar day corresponding to the settlement date (for Swedish linkers if = 31 then t = 30). Reference CPI(m) is the reference CPI for the first day of the calendar month in which the settlement date falls and reference CPI(m+1) is the reference CPI for the first day of the calendar month immediately following the settlement date. Remarks: In many cases there is a deflator-floor at 0% (i.e. all the OATs and most of the Swedish (after 1999)) 5

Agenda The Market 2 The CPI-Curve and Seasonality 7 Building the CPI-Curve 12 Inflation-and Interest-Rate Risk 19 Liability Management 23 F I N E F U N C T I O N L I B R A R Y Modelling Inflation 29 6

jun-06 sep-06 The CPI-Curve and Seasonality - I Example of known CPI-Data (shown as a yearly inflation-rate): 15.00% 10.00% 5.00% 0.00% -5.00% -10.00% -15.00% 7 mar-06 dec-01 mar-02 jun-02 sep-02 dec-02 mar-03 jun-03 sep-03 dec-03 mar-04 jun-04 sep-04 dec-04 mar-05 jun-05 sep-05 dec-05 SECPI: Inflation-Rate HICP: Inflation-Rate

The CPI-Curve and Seasonality - II Due to seasonality in the underlying price indices, the carry for linkers is much larger than and more volatile than for nominal bonds Since forwards depend on future price indices, for Index-Linkers with a 3M indexation lag arbitrage-free forward valuations can only be calculated about 45 days ahead For longer horizons inflation forecasts can be used to calculate linkers carry outright versus nominal bonds (BE-protection) Definitions: Real-Carry in bp = forward real yield spot real yield Forward BE = forward nominal yield forward real yield BE-protection = spot BE forward BE (corresponds to the effective carry embedded in a long BE position) 8

The CPI-Curve and Seasonality Carry Calculation - I Consider the SEK3106 (1% 2012) trading at a real clean price of 96.628 as of 9. November 2006. Real accrued IR is 0.6194 and Base CPI = 280.4. The 3m repo rate is 2%. Real Spot Yield = 1.66% Spot Nominal Dirty Price = (96.628 + 0.6194)x(285.09933/280.4) = 98.8772 3M forward Nominal Dirty Price = 98.8772 x (1+0.02 x 92/360) = 99.3826 3M forward real Dirty Price = 99.3826 x (280.4/286) = 97.4366 (assuming CPI = 286) 3M forward real Yield = 1.70% 3M Carry in bp = 1.70% - 1.66% = 4bp 9

The CPI-Curve and Seasonality Carry Calculation - II We use the SEK1046 (5.5% 2012) to perform the B/E protection calculation. The SEK1046 is trading at a clean price of 109.729 Nominal Spot Yield = 3.63% 3M forward Dirty Price = (109.729 + 0.596) x (1+0.02 x 92/360) = 110.889 3M forward Nominal Yield = 3.65% Spot Breakeven = 3.63% - 1.66% = 1.97% 3M forward Breakeven = 3.65% - 1.70% = 1.95% 3M B/E protection in bp = 1.97% -1.95% = 2bp 10

Agenda The Market 2 The CPI-Curve and Seasonality 7 Building the CPI-Curve 12 Inflation-and Interest-Rate Risk 19 Liability Management 23 F I N E F U N C T I O N L I B R A R Y Modelling Inflation 29 11

Building the CPI-Curve - I The CPI-Curve is the fundamental building block for inflation products: Example 1: Find the constant inflation-rate K: Derive the CF on the floating-leg using the forward CPI-Curve Calculate the PV of the floating-leg Imply the inflation-rate using the previous calculated PV - That is: Same procedure as for Interest-Rate Swaps Example 2: Compare Index Linkers with nominal Bonds: Derive the nominal CF for Index-Linkers Price using the nominal YC Etc... 12

Building the CPI-Curve II The CPI-Curve can be estimated using either Index-Linkers or ZC Inflation-Swaps (or other liquid instruments!) In general we recommend that seasonality is taken into account when estimating the CPI-Curve - this can for example be done by using CPI information for the previous 12 months Let s look at bit more on YC Inflation-Swaps before proceeding with some examples... From the foreign-currency analog we have that the price of ZCIS can be written as: It () ZCIS(, t T, I0, N) = N Pr(, t T ) Pn(, t T ) I0 which for t = 0 simplifies to: [ ] ZCIS(0, T, N) = N P (0, T) P (0, T ) r n 13

Building the CPI-Curve - III The market quotes the values K = K(T) for some maturities T. This allows us to express the discount factor for maturity T in the real economy as: P(0, T) = P (0, T)[1 + K( T)] T r n Kazziha (1999) defines the forward CPI at time t as the fixed amount X that is to be exchanged at time T for CPI I(T), for which a swap has zero value at time t that is (this is actually consistent with the foreign-currency analogy): ItPtT () (, ) = XP(, tt) r n Combining the 2 equations yields the main result: I (0) = I(0)[1 + K( T)] T T Which states that the pricing system is only based on forward CPIs and nominal rates no foreign-currency analogy is needed 14

Building the CPI-Curve - IV Estimated CPI-Curve 220 200 180 160 140 120 100 15 0.08 1.42 2.75 4.08 5.42 6.75 8.08 9.42 10.8 12.1 13.4 14.8 16.1 17.4 18.8 CPI 20.1 21.4 22.8 24.1 25.4 26.8 28.1 Period Bond-CPI Swap-CPI

Building the CPI-Curve V (ZCIS Data) ZCIS 1 1.94% 2 1.97% 3 2.10% 4 2.09% 5 2.06% 6 2.11% 7 2.08% 8 2.12% 9 2.12% 10 2.09% 12 2.12% 15 2.13% 20 2.19% 25 2.22% 30 2.28% 16

Building the CPI-Curve VI (Index-Linkers Data) XBondID Clean Real Price Real Accrued IR Dirty Real Price Index-Factor Dirty Nominal Price Nominal Fair Price Maturity IT0003532915 100.52 0.78 101.30 1.06583 107.97 107.97 20080915 IT0003805998 97.78 0.45 98.23 1.04401 102.56 102.56 20100915 FR0000188013 108.68 0.35 109.04 1.10123 120.07 120.07 20120725 IT0003625909 103.22 1.02 104.25 1.06583 111.11 111.11 20140915 FR0010135525 100.36 0.19 100.55 1.04427 105.00 105.00 20150725 DE0001030500 98.70 0.59 99.29 1.01500 100.78 100.78 20160415 IT0004085210 102.22 1.00 103.22 1.01500 104.77 104.77 20170915 FR0010050559 107.05 0.27 107.32 1.06568 114.36 114.36 20200725 FR0000188799 130.50 0.37 130.88 1.07975 141.31 141.31 20320725 IT0003745541 107.11 1.12 108.22 1.04401 112.99 112.99 20350915 17

Agenda The Market 2 The CPI-Curve and Seasonality 7 Building the CPI-Curve 12 Inflation-and Interest-Rate Risk 19 Liability Management 23 F I N E F U N C T I O N L I B R A R Y Modelling Inflation 29 18

Inflation-and Interest-Rate Risk - I The price of an Index Linker can be expressed as follows: P n = m i= 1 Im ( ) CR 1 + I(0) m I( m) (1 + r ) 1 + I(0) In the market the nominal price is being calculated as (this assumes cancelling of inflation dependencies): P n = (1 + i ) 0 m i= 1 C R (1 + r ) m 19

Inflation-and Interest-Rate Risk - II In general the modified duration of an Index Linker is calculated as follows: MD = 1 dp P dr Calculating MD this way gives rise to huge MD numbers due to the fact the realrate in general is small in a real-rate setting this concept however has some use. However, care must be taken when comparing with nominal bonds. The reasoning is clear from the Fisher equation: (1+y) = (1+r)(1+i) disregarding risk premium. A nominal bond has sensitivity both to real-rates and to the expected inflation, which means that its duration measures the bonds sensitivity to some combination of both these factors this is in hedging referred to as double duration. 20

Inflation-and Interest-Rate Risk - III In order to be able to compare Index Linkers with nominal bonds it has become common practise to use the beta measure. Beta is defined as the yield sensitivity of an Index Linker to a change in the nominal yield. Given that real-rates are generally assumed to be less volatile than nominal yields, beta will usually be less than one (numbers between 0.6-0.8 are fairly common) In principle a beta estimate will allow an investor to translate real duration into nominal duration however, beta is not stable! Another approach is as follows (which could be termed the Direct Approach): Derive the forward CPI-Curve Estimate the CF using the forward CPI-Curve Calculate sensitivities using the nominal yield-curve 21

Agenda The Market 2 The CPI-Curve and Seasonality 7 Building the CPI-Curve 12 Inflation-and Interest-Rate Risk 19 Liability Management 23 F I N E F U N C T I O N L I B R A R Y Modelling Inflation 29 22

Liability Management - I Let us consider the following case. We wish to hedge the combined inflation/interest rate exposure on the following real liability CF (in SEK): Real CF 500 400 300 200 100 0 23 CF in mill sep-07 sep-09 sep-11 sep-13 sep-15 sep-17 sep-19 sep-21 sep-23 sep-25 sep-27 sep-29 sep-31 sep-33 sep-35 Payment Dates Real CF

Liability Management - II We could use Index Linkers but in that case a perfect hedge is not attainable, there exist only 6 Linkers in Sweden limited available structures. By using Inflation-Swaps it is possible to tailor make the CF structure We need to do the following trades: Inflation-Swap: Recieve floating pay fixed Interest-Rate Swap: Receive fixed pay floating End Result: We will have translated our long term inflation risk and interest rate risk into a short term interest rate risk. (Assuming that the Inflation-Swap exactly offset the Inflation-Risk on the liabilities!) More details on the next slides... 24

29.01 Liability Management - III Inflation-Swap CF 600 400 200 0-200 -400-600 25 27.00 1.01 3.00 5.00 7.00 9.00 11.00 13.00 15.00 17.00 19.00 21.00 23.01 25.00 Period Fixed Nominal Floating Nominal

Liability Management - IV Interest-Rate Swap CF 600 400 200 0-200 -400 26 22.8 24.3 25.8 27.3 28.8 0.25 1.75 3.25 4.75 6.26 7.75 9.25 10.8 12.3 13.8 15.3 16.8 18.3 19.8 21.3 Period Floating-Leg Fixed-Leg

Liability Management - V So what did we do: 1: Using the swedish swap-curve and the forward CPI-Curvewecalculatedthe nominal price of the floating leg of the customized Inflation-Swap 2: Given the price of the floating leg of the Inflation-Swap we calculated the Fixed Inflation-Swap Rate 3: Given the nominal CF of the fixed leg on the Inflation-Swap we rolled-up the principal pattern for the amortizing Interest-Rate Swap given the fixed Swap-Rate. The roll-up procedure ensures that the nominal CF of the fixed-leg of the Interest- Rate Swap is identical to the nominal CF of the fixed-leg of the Inflation-Swap Important: It is not possible to derive the principal pattern for the Interest-Rate Swap without knowing the Swap-Rate. This means that the Swap-Rate has to be derived without having knowledge to the present value of the floating-leg of the Interest-RateSwap. Oneobviouswayis to use the nominel yield on the nominel CF on the fixed-leg of the Inflation-Swap as the Swap-Rate however, other methods is applicable 27

Agenda The Market 2 The CPI-Curve and Seasonality 7 Building the CPI-Curve 12 Inflation-and Interest-Rate Risk 19 Liability Management 23 F I N E F U N C T I O N L I B R A R Y Modelling Inflation 29 28

Modelling Inflation - I Compared to ZCIS the valuation of YYIS (YoY Inflation Swaps) is more involved, as we will se below: T i yudu ( ) IT ( ) t i YYIS(, t Ti 1, Ti, Di, N ) = NDiE n e 1 F t IT ( i 1) T T i 1 i yudu ( ) yudu ( ) IT ( ) t Ti 1 i = NDiEn e e 1 FT F i 1 t IT ( i 1) It might not be obvious but the inner expectation is a ZCIS(T i-1,t i,i(t i-1 ),1), so we get: T i 1 yudu ( ) t NDE i n e [ Pr( Ti 1, Ti) Pn( Ti 1, T)] F t T i 1 yudu ( ) t = NDiE n e Pr( Ti 1, Ti) F t NDiPn( t, Ti) 29

Modelling Inflation - II The last expectation can be viewed as a the nominal price of a derivative that pays in nominal units the real ZC bond price P( T, T) at time T r i 1 i i 1 In case real-rates where deterministic, then we could write the expectation as: P (, t T ) n i 1 P(, t T) r P(, t T ) r i i 1 However, real rates are stochastic which makes the expectation model dependent. 30

Modelling Inflation - III One candiate model is the Jarrow and Yildrim (2003) model, which can be written as follows: P df (, t T ) = κ (, t T ) dt + v (, t T ) dw () t n n n n P df (, t T ) = κ (, t T ) dt + v (, t T ) dw () t r r r r P di() t = I() t μ() t dt + σ I( T ) dw () t where: P P P ( Wn, Wr, WI ) is a brownian motion with correlations ρn,r, ρni,, ρri,; κn, κr, μ are adapted processes; vn, vr are deterministic functions; σ is a positive constant I I To ease calculation we assume that the forward volatilites are affine, more precisely we assume: x v (, t T) = σ T t x ( ) xe κ I 31

Modelling Inflation - IV Now we would proceed to rephrase the dynamic in terms of instantaneous short rates under the risk neutral probability measure Q(n). Due to lack of space (and probably time) we will just explain the result: It turns our that both nominal rates and real (instantaneous) rates are normally distributed under their respective risk-neutral measures and that the real rate is still an Ornstein-Uhlenbeck process under the nominal measure Q(n). Last we have that the inflation index I(t), at each time t, is lognormally distributed under the measure Q(n). Theequationsaremessybut given theseassumptionsweareactuallyableto get closed form solutions for YYIS (and for options on inflation) se next slide... 32

Modelling Inflation - V Lets denote Q(T,n) the nominal T-forward measure for the maturity T. We can then express the value of a YYIS as: YYIS t T T D N ND P t T E P T T F ND P t T T 1 (,,,, ) = (, ) i (, ) (, ) i 1 i i i n i 1 n r i 1 i t i n i After some tedious calculations it can be shown that the value of a YYIS can be written as: P(, t T) YYIS t T T D N = ND P t T e ND P t T for r i C (, t Ti 1 (,,,, ) (, ), Ti ) (, ) i 1 i i i n i 1 i n i Pr(, t Ti 1) σ P (, tt 1 ) 1 (,, 1) (, r i ρnrσn krσp t T n i ρnr, σ σ n P t T n i C(, t Ti 1, Ti) = σp ( T 1, ), (, 1) 1 r i Ti ρr IσI σp t T r i + + σr 2 kn kr σn kn kr σ n and σ x x σ P (, tt) = 1 e x k x k ( T t) 1 ) 33

Modelling Inflation - VI From this it can be seen that the convexity adjustment depends on the instantaneous volatilities of the nominal rate, the real rate and the CPI, on the instantaneous correlation between the nominal and real rates and on the instantaneous correlation between the real rate and th CPI. It is also obvious that in the case of deterministic real rates this convexity term disappears. The deterministic case is obtained for: σ r = 0 The advantage of using a Gaussian model for the nominal and real rates is the availability of tractical analytical formulas. However, the possibility of negative rates and the difficulty in obtaining parameter estimates has led to other interesting solutions see Belgrade, Benhamou and Koechler (2004) 34

Modelling Inflation - VII This approach is the market approach! If we use the definition of forward CPI and thefactthat(seeslide 14) I T is a T martingale under we can also write the value of an YYIS as: Q n T IT ( ) i i YYIS(, t Ti 1, Ti, Di, N ) = NDiP(, t Ti) En 1 Ft IT ( i 1) I ( T ) = ND P t T E i 1 T Ti i 1 i i (, i) n 1 Ft IT ( Ti 1) Before proceeding let s state the following: In the market approach it is assumed that both the nominal rates and the real rates follow a Libor Market Model (BGM Model) 35

Modelling Inflation - VIII It turns out that we (under some simplified assumptions) can solve this expectation as follows: I ( T ) I ( t) E F = e i 1 i 1 for T Ti i 1 T i i C(, t Ti 1, Ti) n t IT ( Ti 1) IT ( t) ρin, σn( Ti)( T i Ti 1) Fn( t, Ti 1, Ti) CtT (, i 1, Ti) = σi( Ti 1 ) ρi, iσi( Ti) + σi( Ti 1) ( Ti 1 t) 1 + ( T i Ti 1) Fn( t, Ti 1, Ti) Where F(t,x,y) is the simple compounded rate at time t for the expiry maturity pair x,y), is the instantaneous correlation between I(.) and F n (.,T i-1,t i ) and ρ I, n I I ρ, dt = dw () t dw () t Ii T T i 1 i This lead us to the following expression for an YYIS see next slide: 36

Modelling Inflation - IX P(, t T) P (, t T ) YYIS t Ti 1 Ti Di N = NDiPn t T i e Pr(, t Ti 1) Pn(, t Ti) r i n i 1 C (, t Ti 1 (,,,, ) (, ), Ti ) 1 Where the convexity adjustment is defined on the previous slide. From this we see that the value of an YYIS depends on the instantaneous volatilities of forward inflation indices and their correlation, the instantanous volatilities of nominal forward rates and the instantaneous correlations between the forward inflation indices and the nominal forward rates. This equation can be compared to the expression on slide 33 and here we see that the market model approach does not depend on the volatility of the real rates - this is clearly an advantage. However the drawback is that the formula is based on an approximation which might be too rough for long maturities T i. It might be worth saying that the formula is exact for ρ In, set equal to zero. 37

Modelling Inflation - X We could now continue to the pricing of options on inflation and the pricing of more complex options or proceed to another very interesting area namely parameter estimation! In order to try to keep the time-schedule which we might have passed allready - I will however leave it here the rest is for another time and another place Thank you Claus Madsen/20. February 2007 38