000 02397cam a22003497 4500
001 w10934
003 NBER
005 20211020112649.0
006 m o d
007 cr cnu||||||||
008 210910s2004 mau fo 000 0 eng d
100 1 _aBrandt, Michael W.
_96761
245 1 2 _aA Simulation Approach to Dynamic Portfolio Choice with an Application to Learning About Return Predictability /
_cMichael W. Brandt, Amit Goyal, Pedro Santa-Clara, Jonathan Storud.
260 _aCambridge, Mass.
_bNational Bureau of Economic Research
_c2004.
300 _a1 online resource:
_billustrations (black and white);
490 1 _aNBER working paper series
_vno. w10934
500 _aNovember 2004.
520 3 _aWe present a simulation-based method for solving discrete-time portfolio choice problems involving non-standard preferences, a large number of assets with arbitrary return distribution, and, most importantly, a large number of state variables with potentially path-dependent or non-stationary dynamics. The method is flexible enough to accommodate intermediate consumption, portfolio constraints, parameter and model uncertainty, and learning. We first establish the properties of the method for the portfolio choice between a stock index and cash when the stock returns are either iid or predictable by the dividend yield. We then explore the problem of an investor who takes into account the predictability of returns but is uncertain about the parameters of the data generating process. The investor chooses the portfolio anticipating that future data realizations will contain useful information to learn about the true parameter values.
530 _aHardcopy version available to institutional subscribers
538 _aSystem requirements: Adobe [Acrobat] Reader required for PDF files.
538 _aMode of access: World Wide Web.
588 0 _aPrint version record
690 7 _aG1 - General Financial Markets
_2Journal of Economic Literature class.
700 1 _aGoyal, Amit.
_911730
700 1 _aSanta-Clara, Pedro.
_920139
700 1 _aStorud, Jonathan.
710 2 _aNational Bureau of Economic Research.
830 0 _aWorking Paper Series (National Bureau of Economic Research)
_vno. w10934.
856 4 0 _uhttps://www.nber.org/papers/w10934
856 _yAcceso en lĂ­nea al DOI
_uhttp://dx.doi.org/10.3386/w10934
942 _2ddc
_cW-PAPER
999 _c337230
_d295792