1990
DOI: 10.1016/0165-1889(90)90004-z
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Transactions costs and portfolio choice in a discrete-continuous-time setting

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Cited by 155 publications
(140 citation statements)
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“…Because of the law of large numbers, agents exit at a rate of l per unit of time, leaving the economy with a constant mass of agents. 6 See, for example, [12,[14][15][16]19,27,31,32]. 7 Without loss of generality, our set of agents is the unit interval.…”
Section: The Modelmentioning
confidence: 99%
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“…Because of the law of large numbers, agents exit at a rate of l per unit of time, leaving the economy with a constant mass of agents. 6 See, for example, [12,[14][15][16]19,27,31,32]. 7 Without loss of generality, our set of agents is the unit interval.…”
Section: The Modelmentioning
confidence: 99%
“…Consider an alternate policy that deviates from the candidate policy by investing one unit in the illiquid consol at time t and reinvesting all of its dividends in the liquid consol. 15 By adopting such a deviation, in the event of a liquidity shock at some time s4t; the agent's consumption changes by 16 1…”
Section: An Agent's Optimal Policymentioning
confidence: 99%
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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%
“…A second strand of literature introduces transaction costs into the model implying that it is not optimal for investors to trade continuously. Papers in this area include Duffie and Sun (1990), Davis and Norman (1990), and Korn (1998), among others. Besides, Longstaff (2001) looks at the portfolio problem of an investor who can only implement portfolio strategies with finite variation and thus faces liquidity constraints.…”
Section: Introductionmentioning
confidence: 99%