1988
DOI: 10.1287/moor.13.2.277
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A Diffusion Model for Optimal Portfolio Selection in the Presence of Brokerage Fees

Abstract: We consider a financial market model with two assets. One has deterministic rate of growth, while the rate of growth of the second asset is governed by a Brownian motion with drift. We can shift money from one asset to another; however, there are losses of money (brokerage fees) involved in shifting money from the risky to the nonrisky asset. We want to maximize the expected rate of growth of funds. It is proved that an optimal policy keeps the ratio of funds in risky and nonrisky assets within a certain inte… Show more

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Cited by 173 publications
(123 citation statements)
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“…[2], [5], [8], [9], [11] . Of the recent contributions, [2] and [11] include transaction costs. [2] shows how the presence of a minimum cost per transaction gives rise to discrete optimal trading in random intervals, while [11] solves a two-asset capital growth problem with proportional transaction costs and proves that the optimal strategy is a control limit policy which confines the investor's portfolio to a certain wedgeshaped region by minimal (continuous) trading at the barriers .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[2], [5], [8], [9], [11] . Of the recent contributions, [2] and [11] include transaction costs. [2] shows how the presence of a minimum cost per transaction gives rise to discrete optimal trading in random intervals, while [11] solves a two-asset capital growth problem with proportional transaction costs and proves that the optimal strategy is a control limit policy which confines the investor's portfolio to a certain wedgeshaped region by minimal (continuous) trading at the barriers .…”
Section: Introductionmentioning
confidence: 99%
“…(von Neumann-Morgenstern) or logc , that the investor's total discounted utility of consumption over an infinite horizon is maximised by a control limit investment policy, similar to the one in [11], and a consumption rate which depends on the state of the portfolio, at any time. The study draws inspiration from an early paper on the subject by Magill and Constantinides (see [9]), which contained the fundamental insight that the portfolio should be confined to a certain region of portfolio space with minimal effort.…”
Section: Introductionmentioning
confidence: 99%
“…Proof: Let 3 be the conditionally log-optimum policy defined by (10) and (11). Let be any other admissible policy.…”
Section: Investment In Repeated Stochastic Horse Racesmentioning
confidence: 99%
“…The situation in discrete time markets is not as severe [10], but one can do substantially better by incorporating the costs into the model. Growth optimal investment in markets with costs was introduced by Taksar et al [11] in the context of geometric Wiener markets with one risky asset and cash. Several related works, notably Davis et al [9] and Akian et al [12], study investment policies that maximize the discounted utility of the consumption stream in markets with costs.…”
Section: Introductionmentioning
confidence: 99%
“…[12] provide a numerical method to tackle the same problem in the general case with n stocks. The problem of maximizing the asymptotic return in the case of proportional transaction costs in the one-stock case is examined in [14]. The optimal investment strategy consists in keeping the fraction of wealth invested in the stock in a fixed interval [a, b].…”
Section: Introductionmentioning
confidence: 99%