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Strategic Effects between Price-takers and Non-price-takers

  • Hans Hirth and Martin Walther EMAIL logo

Abstract

Price-taking behavior seems to contradict rationality if a price effect is to be expected. This paper identifies a strategic effect between price-takers and non-price-takers on financial markets. It results from the liquidity reduction non-price-taking induces. Thus, a trade-off between the benefits of calculating price impacts correctly and market liquidity exists. It is shown that price-takers may benefit more from trading than their fully rational counterparts do. Moreover, it is demonstrated that when the choice of behavior is unobservable and decision costs exist an investor would profit more as a non-price-taker when his trading potential is large, and more as a price-taker when it is small. However, when the choice of behavior is observable it is the other way around. If various rounds of trading take place, an investor’s terminal endowment converges to his risk tolerance share. Thus, an efficient allocation is obtained. Furthermore, a paradox concerning the endogenous choice of manners of calculation is identified.

JEL Classification: C72; D43; D60; G10

Appendix

A

As in Figure 1, the demands ei of a PT and a NPT with the same initial endowments ai are identical at s=μσ2rai. In order to show this, the demand (2) of a PT is set equal to the demand (3) of a NPT with ai. Inserting λ via (5) yields

ep=rσ2μs=en=1σ2rPh+σ2rμs+σ2rPhaiμs=1hP+1μs+σ2rPhaihPμs=σ2rPhais=μσ2rai

B

In order to show that the absolute value of the equilibrium transaction size of a NPT increases in the number of PTs P, the squared equilibrium transaction size of a NPT εnan2 is considered. Its derivative with respect to P is given by

(14)dεnan2dP=dεndP2εnan=πdεdP+εandπdP2εnan.

The derivations of ε and π with respect to P amount to

dεdP=dhdPh+Lqqh+1h+L2=12h+L2qL1h+L2 and
dπdP=hP+h2.

Inserting these expressions into (14) yields

dεnan2dP=P2h+L2qL1h+L2+εanhP+h2εan.

In particular, this expression is positive when the signs of qL1 and εan are identical. This means qL1εan>0. Inserting the initial endowment of a representative NPT an=qˉ=1Pq/N and ε=qh+1h+L into this condition yields

qL12h+P>0,

which is always true as h0. Thus, dεnan2dP>0 and the absolute value of the equilibrium transaction size of a NPT increases in the number of PTs P.

C

Before trading, the initial certainty equivalent of an investor i is given by

Φiinital=aiμ+ciσ22rai2.

The certainty equivalent after trading has taken place amounts to

(15)Φi=eiμ+cieiaisσ22rei2.

Inserting the equilibrium values of s and en or ep, respectively, into (15) yields the certainty equivalent of a PT or NPT, respectively:

Φp=σ22rqh+1h+L2σ2rqh+1h+Lap+μap+cp and
Φn=σ22rqh+1h+L2σ2rqh+1h+Lan1+2hP1+hP2+μan+cnσ22rhP1+hP2an2.

Thus, the increases in welfare ΔΦi=ΦiΦiinitial are given by

(16)ΔΦp=σ22rqh+1h+Lap2=σ22rεap2 and
(17)ΔΦn=σ22r1+2hP1+hP2qh+1h+Lan2=σ22r1+2hP1+hP2εan2.

Given P PTs, a PT pprofits more (less) from trading than a NPT n does if ΔΦp>(<)ΔΦn. Because of (16) and (17), this is the case if

(18)εap2>(<)αεan2,

where

α1+2hP1+hP2<1.

By substituting π=PP+h, (18) can be written as

εap2>(<)1+2hPπ2εan2.

Inserting εnan=πεan from (9) yields

εap2>(<)βεnan2,

with

β1+2hP>1.

D

Inserting ap=q,an=1Pq/N, α,h andε into (10) yields

(19)LδL+2>(<)δL22+4δL,

with δ=P/L.

The representative PT p profits more from trading when the left-hand side (LHS) exceeds the right-hand side (RHS). Note that this requires a positive LHS, L>2δ/1δ. Both sides of (19) are squared and rearranged to

(20)12δL>4δ1δ2.

(20) can only be satisfied when δ<0.5. Thus, (20) can be restated to

(21)L>4δ1δ212δ.

It can be shown that the RHS of (21) exceeds 2δ/1δ within the relevant range. Therefore, (21) together with δ<0.5 are necessary and sufficient conditions for ΔΦp>ΔΦn.

E

A PT p would profit more if he were a NPT when ΦPap>ΦN+1apc . If he deviates to non-price-taking, the other N NPTs calculate with the “old”  λ because his deviation is unobservable. The PT who becomes a NPT calculates with a different price impact λN+1. It is derived analogously to the basic model. The resulting equilibrium share price sN+1 is given by

sN+1=μσ2rL+h1+hqhP+12apL+h2hP+12.

The resulting equilibrium demand of the PT who becomes a NPT amounts to

eN+1=1hP+1L+hL+h2hP+12ε+hP+1L+hap,

where ε=1+qhL+h. Inserting sN+1 and eN+1 and P=hh+L2 into ΦPap>ΦN+1apc yields

εap2<2rσ2L+hL+h2L+h121c.

Thus, a PT would not profit more if he were a NPT when his trading potential is sufficiently small: εap<u, with u=2rσ2L+hL+h2L+h121c.

Analogously, a NPT would not profit more if he were a PT when  Φnc>ΦP+1. As his deviation is not observable, the remaining NPTs calculate with the “old” λ . The resulting share price sP+1 amounts to

sP+1=μσ2rL1+hq+hPan1+hL1+1P.

The equilibrium demand of the “new” PT is given by

eP+1=1+hq+hPanL+h1+1P.

Inserting these expression into ΦP+1ap<Φnapc yields

εan>l,

with l=2rσ2cL+h12L+h2L+h.

Thus, a NPT would not profit more if he were a PT when his trading potential is sufficiently large. When c=0, every investor with positive trading potential would profit more as NPT.

F

The PT’s increase in certainty equivalent is given by

ΔΦp=σ22rqh+1h+Lap2=σ22rεap2. If the PT deviates to non-price-taking behavior, the initial endowment a PT holds on average q changes to q=PqaP1. The price-impact is given by λN+1=σ2rP1h, with h=hΔ and Δ only being dependent on L and P. As a result the trading potential changes to ε=qhΔ+1hΔ+L, which leads to ΔΦN+1=σ22r1+2hΔP11+hΔP12qhΔ+1hΔ+Lan2. Inserting the expressions for ΔΦp and ΔΦN+1 into ΦPa>(<)ΦN+1a  yields

ΔΦN+1=σ22r1+2hΔP11+hΔP12qhΔ+1hΔ+Lan2. Inserting the expressions for ΔΦp and ΔΦN+1 into ΦPa>(<)ΦN+1a yields

hΔ+L2P1+hΔ2P1P1+2hΔ>(<)h+L+hPΔP1Q2,

with Q=εaqa. Three cases have to be distinguished. First, h+L+hPΔP1Q<0 is considered. In this case ΦPa>(<)ΦN+1a leads to

hΔ+L2P1+hΔP1P1+2hΔ>(<)hLhPΔP1Q,

which can be rewritten to

Q>(<)hPΔP1P1P1+2hΔhΔ+L2P1+hΔ+h+LP1P1+2hΔ.

In the second and third case, h+L+hPΔP1Q>0. If Q>0, ΦPa>(<)ΦN+1a yields

Q>(<)hPΔP1P1P1+2hΔhΔ+L2P1+hΔh+LP1P1+2hΔ.

If Q<0,

Q>(<)hPΔh+PΔP1.

In all of the cases, the PT would not profit more as a NPT if the absolute value of Q is sufficiently high, which implies his trading potential has to be sufficiently high.

G

In the following the condition for depds=rpσ2<dends=1λρ+σ2rn is derived. Inserting λρ into this inequality yields

hρP+ρ<1.

Inserting hρ and squaring both sides leads to

1ρL11>0.

Restating yields

ρ<L2L1.

This means that the price-demand function of a NPT sen can be flatter than that of a PT if ρ=rprn is sufficiently small.

H

λρ is given by

λρ=σ22rpδLhρ,

where hρ=ρ1δL+L24LδL1ρ1δLL2. Its derivative with respect to δ amounts to

dλρdδ=2rpLσ22rpδL22hρ+σ22rpδLρ1L2ρ1δL+L+4L2ρ1δL+L24LδL1ρ1L.

This expression is positive (negative) if

L2A>(<)1δ1ρL242δL+4,

where Aρ1δL+L24LδL1. Squaring both sides yields

L22A>(<)1δ1ρL242δL+42.

Restating leads to

dλρdδ>(<)0ρ<(>)L2L1.

I

In order to derive eq. (13), recall the eqs (3) and (4): p=1Pep=prpσ2μs and ens=1λn+σ2rμs+λnan. With Rp denoting prp the equilibrium share price is given by

sen=μ1enjnλjajλj+σ2rjRpσ2+jn1λj+σ2rj.

Differentiating with respect to en yields

λn=1Rpσ2+jn1λj+σ2rj1λn=Rpσ2+jn1λj+σ2rj.

Consequently, the price effect of a NPT in is given by 1λi=Rpσ2+ji1λj+σ2rj. Subtracting 1λi from 1λn yields

1λn1λi=1λi+σ2ri1λn+σ2rn.

Solving for λi delivers

λi=λnλn+σ2rnσ2riσ42rnri+λn2λn+σ2rn2+σ4ri2λn+σ22rn22λn+σ2rn,

which finally yields

λi+σ2ri=λn+σ2rnλn+σ2riσ42rnri+λn2λn+σ2rn2+σ4ri2λn+σ22rn22λn+σ2rn.

Inserting this expression into 1λn=Rpσ2+jn1λj+σ2rj leads to eq. (13).

J

In the case of N=2λ1 is given by

λ1=σ2r1h1,

with h1=121+1+4r1R1r1R2r2R2. Analogously, λ2=σ2r2h2. Inserting λ1 and λ2 into the market clearing condition 1=p=1Pep+n=1Nenand solving for s yields

μγAσ2R,

with γA=1+h1h2pap+h11a1+h21a21+h1h2RpR+h11r1R+h21r2r.

K

Investor i’s increase in certainty equivalent is given by

ΔΦi=ΦiΦiinitial=eiaiμsσ22rieiai.

Inserting the PT’s equilibrium demand ep=γARrp yields

ΔΦp=σ22rpepap2.

Analogously, inserting en=11+hnγARrn+hnan delivers

ΔΦn=σ21+2hn2rnenan2.

With the help of these two expressions, Proposition 1 A follows:

ΔΦp>(<)ΔΦnrpγARaprp2>(<)αArnγARanrn2,

with αA1+2hn1+hn2<1. In order to obtain Proposition 2 A, the investors’ transaction sizes are considered. ΔΦp>(<)ΔΦn can be restated to

ΔΦp>(<)ΔΦnσ22rpτp2>(<)τn2σ21+2hn2rn,

which can be rewritten to

τp2τn2>(<)1+2hnrprn.

References

Basak, S. 1997. “Consumption Choice and Asset Pricing with a Non-Price-Taking Agent.” Economic Theory 10:437–462.10.1007/s001990050166Search in Google Scholar

Foster, F. D., and S. Viswanathan. 1996. “Strategic Trading When Agents Forecast the Forecasts of Others.” Journal of Finance 51:1437–1478.10.1111/j.1540-6261.1996.tb04075.xSearch in Google Scholar

Guiso, L., and M. Paiella. 2008. “Risk Aversion, Wealth, and Background Risk.” Journal of the European Economic Association 6 (6):1109–1150.10.1162/JEEA.2008.6.6.1109Search in Google Scholar

Hessel, C. 1981. “Extensions to Portfolio Theory to Reflect Vast Wealth Differences among Investors.” Journal of Financial and Quantitative Analysis 16:53–70.10.2307/2330666Search in Google Scholar

Huang, W. 2002. “On the Incentive for Price-Taking Behavior.” Management Decision 40 (7):682–692.10.1108/00251740210438517Search in Google Scholar

Huang, W. 2011. “Price-Taking Behavior versus Continuous Dynamic Optimizing.” Journal of Economic Behavior & Organization 78:37–50.10.1016/j.jebo.2010.12.006Search in Google Scholar

Kyle, A. S. 1985. “Continuous Auctions and Insider Trading.” Econometrica 53:1315–1335.10.2307/1913210Search in Google Scholar

Kyle, A. S. 1989. “Informed Speculation with Imperfect Competition.” Review of Economic Studies 56:317–356.10.2307/2297551Search in Google Scholar

Lindenberg, E. 1979. “Capital Market Equilibrium with Price Affecting Institutional Investors.”. In Portfolio Theory 25 Years Later edited by E. Elton and M. Gruber,. 109– 124. Amsterdam: North Holland.Search in Google Scholar

Roberts, D. J., and A. Postlewaite. 1976. “The Incentives for Price-Taking Behavior on Large Exchange Economies.” Econometrica 44:115–127.10.2307/1911385Search in Google Scholar

Sarkar, A. 1994. “On the Equivalence of Noise Trader and Hedger Models in Market Microstructure.” Journal of Financial Intermediation 3:204–212.10.1006/jfin.1994.1004Search in Google Scholar

Schipper, B. C. 2004. “Submodularity and the Evolution of Walrasian Behavior.” International Journal of Game Theory 32 (4):471–477.10.1007/s001820400170Search in Google Scholar

Schipper, B. C. 2009. “Imitators and Optimizers in Cournot Oligopoly.” Journal of Economic Dynamics and Control 33 (12):1981–1990.10.1016/j.jedc.2009.06.003Search in Google Scholar

Spiegel, M., and A. Subrahmanyam. 1992. “Informed Speculation and Hedging in a Noncompetitive Securities Market.” Review of Financial Studies 5:307–329.10.1093/rfs/5.2.307Search in Google Scholar

Subrahmanyam, A. 1991. “Risk Aversion, Market Liquidity, and Price Efficiency.” Review of Financial Studies 4:417–441.10.1093/rfs/4.3.417Search in Google Scholar

Vega-Redondo, F. 1997 . “The Evolution of Walrasian Behavior.” Econometrica: Journal of the Econometric Society 65: 375– 384.10.2307/2171898Search in Google Scholar

Published Online: 2018-01-26

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