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首页> 外文期刊>SIAM Journal on Control and Optimization >OPTIMAL INVESTMENT WITH TRANSACTION COSTS AND STOCHASTIC VOLATILITY PART I: INFINITE HORIZON
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OPTIMAL INVESTMENT WITH TRANSACTION COSTS AND STOCHASTIC VOLATILITY PART I: INFINITE HORIZON

机译:与交易成本和随机波动率的最佳投资I:无限地平线

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摘要

Two major financial market complexities are transaction costs and uncertain volatility, and we analyze their joint impact on the problem of portfolio optimization. When volatility is constant, the transaction costs optimal investment problem has a long history, especially in the use of asymptotic approximations when the cost is small. Under stochastic volatility, but with no transaction costs, the Merton problem under general utility functions can also be analyzed with asymptotic methods. Here, we look at the long-run growth rate problem when both complexities are present, using separation of time scales approximations. This leads to perturbation analysis of an eigenvalue problem. We find the first term in the asymptotic expansion in the time scale parameter, of the optimal long-term growth rate, and of the optimal strategy, for fixed small transaction costs. We give a proof of accuracy in the case of fast mean-reverting stochastic volatility, which is based on the finite time problem analyzed in the companion Part II of this paper.
机译:两个主要的金融市场复杂性是交易成本和不确定的波动性,我们分析了他们对投资组合优化问题的联合影响。当波动率是恒定的时,交易成本最佳投资问题具有悠久的历史,特别是在成本较小时在使用渐近近似。在随机波动下,但没有交易成本,常用功能下的Merton问题也可以通过渐近方法分析。在这里,我们在存在两种复杂性时,使用时间尺度的分离来看看两种复杂性时的长期增长速率问题。这导致对特征值问题的扰动分析。我们在时间尺度参数中找到了渐近扩张中的第一个术语,最佳的长期增长率和最佳策略,以固定的小额交易成本。在快速均值的随机波动率的情况下,我们提供了准确性的证据,这是基于本文的伴随部分II中分析的有限时间问题。

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