战略执行轨迹

Giuliana Bordigoni, A. Figalli, A. Ledford, Philipp Ustinov
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引用次数: 1

摘要

摘要:我们得到了在瞬时价格影响下两个连续交易的最优执行策略。我们首先针对单个交易(元订单)作为子交易序列(子订单)执行的情况提出了一种新的通用解决方法。然后,我们分析了两个连续元订单的情况,包括在启动第一个元订单时第二个元订单的大小和方向不确定的情况。得到了两种不同成本函数下的最优执行策略。首先,当每个元订单以其启动时的价格为基准时,我们将总成本最小化,这是从业者广泛使用的总单独成本方法。虽然简单,但我们表明,优化总单独成本可能导致交易实际成本的严重低估,同时也会对订单调度产生不利影响。我们通过引入一个新的成本函数来克服这些问题,该函数将第二个元订单分成两部分,其中一部分在第一个元订单启动时是可预测的,而剩余部分则不是。第二个元订单的可预测部分和剩余部分分别使用第一个和第二个元订单的启动价格进行基准测试。我们证明了线性瞬时价格影响和正定衰减的最优执行轨迹的存在性,并推导了指数衰减影响的特殊情况下最小值的显式形式,但一般的唯一性仍未得到证明。为了说明,还包括了各种数值例子。
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Strategic Execution Trajectories
ABSTRACT We obtain the optimal execution strategy for two sequential trades in the presence of a transient price impact. We first present a novel and general solution method for the case of a single trade (a metaorder) that is executed as a sequence of sub-trades (child orders). We then analyze the case of two sequential metaorders, including the case where the size and direction of the second metaorder are uncertain at the time the first metaorder is initiated. We obtain the optimal execution strategy under two different cost functions. First, we minimize the total cost when each metaorder is benchmarked to the price at its initiation, the total separate costs approach widely used by practitioners. Although simple, we show that optimizing total separate costs can lead to a significant understatement of the real costs of trading whilst also adversely impacting order scheduling. We overcome these issues by introducing a new cost function that splits the second metaorder into two parts, one that is predictable when the first metaorder is initiated and a residual that is not. The predictable and residual parts of the second metaorder are benchmarked using the initiation prices of the first and second metaorders, respectively. We prove existence of an optimal execution trajectory for linear instantaneous price impact and positive definite decay, and derive the explicit form of the minimizer in the special case of exponentially decaying impact, however uniqueness in general remains unproven. Various numerical examples are included for illustration.
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来源期刊
Applied Mathematical Finance
Applied Mathematical Finance Economics, Econometrics and Finance-Finance
CiteScore
2.30
自引率
0.00%
发文量
6
期刊介绍: The journal encourages the confident use of applied mathematics and mathematical modelling in finance. The journal publishes papers on the following: •modelling of financial and economic primitives (interest rates, asset prices etc); •modelling market behaviour; •modelling market imperfections; •pricing of financial derivative securities; •hedging strategies; •numerical methods; •financial engineering.
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