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Optimal Portfolio Choice with Annuitization. (2006). Werker, B. J. M., ; Nijman, T E ; Koijen, R. S. J., .
In: Other publications TiSEM.
RePEc:tiu:tiutis:e0ee89d5-4a5f-4c70-a7ee-d2c329db1a83.

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  1. Annuitization and asset allocation. (2015). Milevsky, Moshe ; Young, Virginia R..
    In: Papers.
    RePEc:arx:papers:1506.05990.

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  2. Variable payout annuities and dynamic portfolio choice in retirement. (2010). Mitchell, Olivia ; Horneff, Wolfram J. ; Maurer, Raimond H. ; Stamos, Michael Z..
    In: Journal of Pension Economics and Finance.
    RePEc:cup:jpenef:v:9:y:2010:i:02:p:163-183_00.

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  3. How deep is the annuity market participation puzzle?. (2009). Michaelides, Alexander ; Inkmann, Joachim ; Lopes, Paula.
    In: 2009 Meeting Papers.
    RePEc:red:sed009:239.

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  4. Developments in pension reform: the case of Dutch stand-alone collective pension schemes. (2009). Bovenberg, Lans ; Nijman, Theo.
    In: International Tax and Public Finance.
    RePEc:kap:itaxpf:v:16:y:2009:i:4:p:443-467.

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  5. Asset allocation and location over the life cycle with investment-linked survival-contingent payouts. (2009). Mitchell, Olivia ; Horneff, Wolfram J. ; Maurer, Raimond H. ; Stamos, Michael Z..
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:33:y:2009:i:9:p:1688-1699.

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  6. Asset Allocation and Location over the Life Cycle with Survival-Contingent Payouts. (2008). Mitchell, Olivia ; Horneff, Wolfram J. ; Maurer, Raimond H. ; Stamos, Michael Z..
    In: NBER Working Papers.
    RePEc:nbr:nberwo:14055.

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  7. Asset Allocation and Location over the Life Cycle with Survival-Contingent Payouts. (2008). Horneff, Wolfram J. ; Maurer, Raimond H. ; Mitchel, Olivia S. ; Stamos, Michael Z..
    In: Working Papers.
    RePEc:mrr:papers:wp177.

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  8. Money in motion: Dynamic portfolio choice in retirement. (2007). Mitchell, Olivia ; Horneff, Wolfram J. ; Maurer, Raimond H. ; Stamos, Michael Z..
    In: CFS Working Paper Series.
    RePEc:zbw:cfswop:200721.

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  9. Money in Motion: Dynamic Portfolio Choice in Retirement. (2007). Mitchell, Olivia ; Horneff, Wolfram J. ; Maurer, Raimond H. ; Stamos, Michael Z..
    In: NBER Working Papers.
    RePEc:nbr:nberwo:12942.

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  10. Money in Motion: Dynamic Portfolio Choice in Retirement. (2007). Mitchell, Olivia ; Horneff, Wolfram J. ; Maurer, Raimond H. ; Stamos, Michael Z..
    In: Working Papers.
    RePEc:mrr:papers:wp152.

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  11. How deep is the annuity market participation puzzle?. (2007). Michaelides, Alexander ; Inkmann, Joachim ; Lopes, Paula.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:24488.

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  12. Annuitization and asset allocation. (2007). Milevsky, Moshe ; Young, Virginia R..
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:31:y:2007:i:9:p:3138-3177.

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References

References cited by this document

  1. A Pricing of nominal and inflation-linked bonds We derive the nominal prices of both nominal and inflation-linked bonds in the financial market described in Section 2, following the results on affine term structure models in, for instance, Duffie and Kan (1996), Sangvinatsos and Wachter (2005), and Koijen et al. (2006). To that extent, we assume that both nominal and inflation-linked bond prices are smooth functions of time and the term structure factors X, which satisfy dXt = −KXdt + ΣXdZt. (A.1) Denote the price of a nominal bond at time t that matures at time T by P(Xt, t, T). Since nominal bonds are traded assets, we must have that φtP(Xt, t, T) is a martingale, where φ is given in (7). This implies16 −PXKXX + Pt + tr Σ′ XPXXΣX
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  42. The likelihood can subsequently be constructed using the error-prediction decomposition, see for instance Harvey (1989). C Digression on the AIR In this section, we succinctly summarize the role of the AIR in a simple model. Reducing (5), we find dSt St = dt + σdZt, (C.1) with σ =k σS k and Z a univariate Brownian motion. For the sake of exposition, we consider in this appendix that the remaining life-time of an individual of age T is exponentially distributed with parameter λ, implying for the survival probabilities spT = e−λs . (C.2) Therefore, we immediately have, with s ≥ 0, AV (h, T) = λ + h , (C.3) IV (h, T + s, T) = (λ + h) exp − σ2 − h s + σ(ZT+s − ZT )
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  43. Using data on six yields, stock returns, and inflation, we estimate the model using the Kalman filter. The transition equation is given by (B.2). We assume that all yields are measured with measurement error, in line with Brennan and Xia (2002) and Campbell and Viceira (2001).
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