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    Work on Term structure

    modeling

    Sankha Banerjee

    1

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    Introduction Background Modeling Results Summary

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    The?

    Panic of 2008

    Whatassetshaveheldtheirvaluebest US Treasury bills (stable value)

    Nominal US Treasury bonds (increasing value) WhyhavenominalTreasuriesbeensuch good hedges?

    Flight to quality helps safe assets, but why are nominal Treasuries regarded as safe?

    They have no credit risk, but they do have inflation risk

    Have nominal Treasuries always hedged investors against other risks?

    Understanding Bond Risks Thislectureexplorestime-variationininflation risk and its effect on the

    nominal Treasury yield curve

    TheanalysismakessomeuseofTIPSdata but TIPS are not the main focus

    Attheend,abriefanalysisofcurrencies along the same lines

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    Introduction Background Modeling Results Summary

    What do we know from the 2008?

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    US Treasury bills and Nominal US Treasury bonds hold their value during a high

    volatility event

    They act as good hedge, and the phenomenon of "Flight to quality helps safe

    assets.

    Why are nominal Treasuries regarded as safe? They have no credit risk, but they

    do have inflation risk

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    Introduction Background Modeling Results Summary

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    Time series of the stock-bond covariance and the CAPM beta of the 10 year nominal bond

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    Introduction Background Modeling Results Summary

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    Time series of the stock-deflation covariance and the CAPM beta of deflation

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    Introduction Background Modeling Results Summary

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    Time series of the US 10-year inflation-indexed yields

    Estimated time series of the real rate

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    Introduction Background Modeling Results Summary

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    Time series of the real bond second moments

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    Introduction Background Modeling Results Summary

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    Time series of the nominal bond second moments

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    Introduction Background Modeling Results Summary

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    Estimated time series of permanent and transitory components of expected inflation

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    Introduction Background Modeling Results Summary

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    Estimated time series of covariance of the inflation with interest rate.

    Response of the nominal expected excess returns to covariance of the inflation with

    Interest rate.

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    Introduction Background Modeling Results Summary

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    Estimated time series of expected excess returns for 10 year nominal bonds.

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    Introduction Background Modeling Results Summary

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    Response of the yield curves to covariance of the inflation with Interest rate.

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    Introduction Background Modeling Results Summary

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    Changing Conventional Wisdom

    Late1970sandearly1980s:

    Bonds are exposed to the risk of stagflation Avoid them unless the term premium

    is high

    2000s:

    Bonds are hedges against the risk of deflation Anchor to windward Hold them even at a low term premium

    Changing CW reflects changing reality Bonds as hedges in 2007-2008

    Changing Inflation Behavior

    The changesinmeasuredbondrisksappear to be related to changing behavior of

    the Phillips Curve WhenthePhillipsCurveisstable(early 1960s, 2000s), inflation falls when

    unemployment rises

    Then bonds do well in bad times and hedge macroeconomic risk

    WhenthePhillipsCurveisunstable(1970s and early 1980s), inflation and

    unemployment move together (stagflation)

    Then bonds do badly in bad times and are risky

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    Introduction Background Modeling Results Summary

    Term structure modeling

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    Real stochastic discount factor (SDF):

    xt

    is real rate:

    zt

    drives time-variation in volatility of SDF:

    xt

    and zt

    follow AR(1) processes:

    d i k d d li l

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    Modelling the Yield Curve

    Changingbondriskdoesseemtomatterover the long run

    Intheshortrun,however,thereareother influences on the yield curve

    Tocaptureitsmovements,weneedto consider more traditional factors as well:

    The real interest rate

    Investor attitudes towards risk Expected inflation Campbell,Sunderam,andViceira2008 undertakes this project

    A Bond Pricing Model

    Weconsiderfivefactorsthatmoveindifferent ways:

    Real interest ratext(transient)

    Risk aversion zt(persistent)

    Long-run expected inflation t (permanent) Temporary expected inflation t(transient)

    Covariance of inflation with recession t(persistent, can change sign)

    Thefivefactorsarenotdirectlyobserved,so we back out their implied values from data we

    do observe

    Nonlinear Kalman filtering

    I d i B k d M d li R l S

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    Fisher equation Inflation risk premium

    I t d ti B k d M d li R lt S

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    Date

    CAPMbeta

    Introd ction Backgro nd Modeling Res lts S mmar

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    Stagflation risk

    Deflation risk

    Introduction Background Modeling Results Summary

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    Implications for the Yield Curve

    Weplottheyieldcurveatthesamplemeanofall the state variables

    Thenwevaryeachstatevariabletoitssample minimum and maximum, while holding the

    other state variables at their sample mean

    Introduction Background Modeling Results Summary

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    This variable is the main innovation of our model, and plays important role:

    (t)2 drives time variation in the conditional volatility of both realized

    inflation and expected inflation.

    zt tdrives time variation in the covariance of the real economy with

    inflation, and thus determines nominal bond risk premia.

    This covariance (and thus bond risk premia) can switch sign as ttakes

    positive or negative values (zt is always positive in the data)

    Introduction Background Modeling Results Summary

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    Nested Models

    Both ztand tconstant

    Two-factor affine yield model of Campbell and

    Viceira (2001, 2002).

    Both real bond risk premia and nominal risk premia are constant. ztvarying and tconstant

    Three-factor affine yield model ((Bekaert et al.,

    2004, Buraschi and Jiltsov 2006, Wachter 2006).

    Both real bond risk premia and nominal bond risk premia vary with aggregate risk

    aversion

    ztconstant and tvarying Single-factor affine yield model for the real term structure, and a linear-quadratic

    model for the term structure for nominal interest rates.

    Constant real bond risk premia, time-varying nominal bond risk premia.

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    Introduction Background Modeling Results Summary

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    Estimation

    Maximum likelihood via nonlinear Kalman filter because state variables are

    unobserved.

    UnscentedKalmanfilter(JulierandUhlmann 1997, Wan and van der Merwe 2000,Koijen and Binsbergen 2008)

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    Observed Variables

    Nominalyieldcurveatmaturities3months,1 year, 3 years, 10 years

    TIPSyield

    Realized inflation Equityreturnsanddividendyield(proxyforrisk aversion)

    Realized bond variance and bond-equity covariance in daily data

    Introduction Background Modeling Results Summary

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    Implications for the Yield Curve

    Realinterestrateandtemporaryexpected inflation move the short end

    Riskaversionmovesthelongend

    Permanentexpectedinflationmovestheyield

    curve up and down in parallel

    Inflation-recessioncovariancedrivesthe curvature of the yield curve

    Implications for the Yield Curve Fixed-incomepractitionersanalyzetheyield curve using level, slope, and curvature factors

    Theydonotrelatethesefactorstoexternal market conditions

    Ourmodeldoes:

    Real interest rate and permanent expected inflation

    drive the level factor

    Real interest rate, risk aversion, and temporary expected inflation drive the slope factor

    Inflation-recession covariance drives the curvature factor

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    Implications for Bond Returns Whathappenswheninvestorsbecomemorerisk averse?

    Ifbondsarerisky,theninvestorssellbothstocks and bonds

    Ifbondsarehedges,theninvestorssellstocks and buy bonds (flight to quality)

    Thusmovementsinriskaversionamplifythe covariance of bonds and stocks

    If the covariance is positive, it becomes more positive

    If the covariance is negative, it becomes more negative

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    Implications for Term Premia

    Expectedexcessbondreturns(termpremia)are determined by