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Do Time Preferences Matter in Intertemporal Consumption and Portfolio Decisions?

  • Shou Chen , Shengpeng Xiang and Hongbo He EMAIL logo
Published/Copyright: January 26, 2019

Abstract

We study the intertemporal consumption and portfolio rules in the model with the general hyperbolic absolute risk aversion (HARA) utility. The equivalent approximation approach is employed to obtain the Hamilton-Jacobi-Bellman (HJB) equations, and a remarkable property is shown: portfolio rules are independent of the discount function. Moreover, both the consumption and portfolio rates are non-increasing functions of wealth. Particularly illustrative cases examined in detail are the models with the most adopted discount functions, including exponential discounting and hyperbolic discounting. Explicit solutions for intertemporal decisions are found for these special cases, revealing that individual’s time preferences affect the consumption rules only. Moreover, the time-consistent consumption rate under hyperbolic discounting is larger than its counterpart under exponential discounting.

JEL Classification: C61; D91; G11

Acknowledgements

We would like to thank the editor, two anonymous referees and Ziran Zou for their helpful comments. This paper is supported by the National Natural Science Foundation of China (Grant Nos. 71790593, 71521061, 71501065 and 71573077), as well as the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry of China (No.[2015]1098).

Appendix

A Appendix

Applying Taylor’s theorem to the discount function of value function for small h0, i. e. θ(h0)=1+θ(0)h0+o(h0), the rate of change of value function can be written as

(29)θ(h0)V(t+h0,W(t+h0))V(t,W(t))h0=V(t+h0,W(t+h0))V(t,x(t))h0+θ(0)V(t+h0,W(t+h0))+o(h0)h0.

On one hand, the left-hand side of eq. (29) is

(30)maxC(s),ϕ(s)1h0Et+h0Tθ(h0)θ(sth0)u(C(s))dstTθ(st)u(C(s))ds+(θ(h0)θ(Tth0)θ(Tt))F(T,W(T))=maxC(s),ϕ(s)1h0Et+h0T[θ(h0)θ(sth0)θ(st)]u(C(s))dstt+h0θ(st)u(C(s))ds+(θ(h0)θ(Tth0)θ(Tt))F(T,W(T)).

According to the mean value theorem for integrals, take the limit as h00, so that eq. (30) can be rewritten as

(31)limh00maxC(s),ϕ(s)1h0E[t+h0Tθ(h0)θ(sth0)u(C(s))dstTθ(st)u(C(s))ds+(θ(h0)θ(Tth0)θ(Tt))F(T,W(T))]=maxC(s),ϕ(s)u(C(t))+K(t,W(t)),

where

K(t,W(t))=limh001h0E[tT[θ(h0)θ(sth0)θ(st)]u(C(s))ds+(θ(h0)θ(Tth0)θ(Tt))F(T,W(T))].

On the other hand, by Ito’s Lemma, from the right-hand side of eq. (29) as h00, we have

(32)limh00EV(t+h0,W(t+h0))V(t,W(t))h0+θ(0)V(t+h0,W(t+h0))=[Vt+VWf+12VWWσ2ϕ2(t)W2(t)]|W(t),C(t),ϕ(t)+θ(0)V(t,W(t)).

Combining eqs. (31) and (32) with eq. (29), we obtain

K(t,W(t))θ(0)V(t,W(t))Vt=maxC(t),ϕ(t)u(C(t))+VWf+12VWWσ2ϕ2(t)W2(t).

The HJB equations would be consistent with previous works by adjusting the discount functions in this paper.

B Appendix

Let γ and η=1 for u(C)=1γγ(αC1γ+η)γ, we have u(C)=eαC,α>0, where α is Pratt’s measure of absolute risk-aversion. We conjecture a trial solution V(W)=pqeqW. Then, we have

Vt=0,VW=peqW,VWW=pqeqW.

Thus, the first-order conditions for a regular interior maximum obtained from eq. (8) are

u(C)=VW,(μr)WVW=VWWϕσ2W2,

which imply

(33)C(t)=1α(qW(t)+lnαp),ϕ(t)=(μr)VWσ2WVWW=(μr)qσ2W(t),

and

(34)dW(t)=(μr)2qσ2+rW(t)1α(qW(t)lnpα)dt+(μr)qσdzt.

From eqs. (8) and (33), we have

(35)K(W)=limh001h0E0[θ(h0)θ(sh0)θ(s)]u(C(s))ds=limh001h0E0[θ(h0)θ(sh0)θ(s)]peqW(s)αds.

Meanwhile, from eq. (34), we obtain

(36)d(eqW(s))=qeqW(s)(μr)22qσ2+rW(s)1α(qW(s)lnpα)ds+(μr)qσdzs,

which implies

(37)E(d(eqW(s)))=qeqW(s)(μr)22qσ2+rW(s)1α(qW(s)lnpα)ds,

and

(38)E(eqW(s))=eqW(t)expqts(μr)22qσ2+rW(x)1α(qW(x)lnpα)dx.

Incorporating eq. (38) into eq. (35), K(W) is expressed as

(39)K(W)=peqW(t)αlimh001h00[θ(h0)θ(sh0)θ(s)]expqts(μr)22qσ2+rW(x)1α(qW(x)lnpα)dxds.

Combining eqs. (33) and (39) with eq. (8), we find that q=αr and p must satisfy the following algebraic equation:

(40)limh001h00[θ(h0)θ(sh0)θ(s)]exp(μr)22σ2+rlnpαsds=1(μr)22rσ2lnpα+θ(0)r.

The time-consistent decision rules for consumption and portfolio selection are

C(t)=rW(t)+1αlnαp,

and

ϕ(t)=(μr)αrσ2W(t).

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Published Online: 2019-01-26

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