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The stock selection problem: Is the stock selection approach more important than the optimization method? Evidence from the Danish stock market

机译:选股问题:选股方法比优化方法更重要吗?来自丹麦股市的证据

摘要

Passive investment strategies basically aim to replicate an underlying benchmark. Thereby, the management usually selects a subset of stocks being employed in the optimization procedure. Apart from the optimization procedure, the stock selection approach determines the stock portfolios' out-of-sample performance. The empirical study here takes into account the Danish stock market from 2000-2010 and gives evidence that stock portfolios including small companies' stocks being estimated via cointegration optimization methods are most beneficial. Only the stock portfolios exhibiting the lowest initial market capitalization corresponding to 29.51% showed a Sharpe ratio of 0.4545 and 0.4824, respectively, being higher than the stock market's Sharpe ratio of 0.4451 concerning the out-of-sample period running from 2003-2010.
机译:被动投资策略的主要目的是复制基础基准。因此,管理层通常会选择在优化过程中使用的库存子集。除了优化程序外,股票选择方法还决定了股票投资组合的样本外绩效。这里的实证研究考虑了2000年至2010年的丹麦股票市场,并提供了证据表明,通过协整优化方法估算的包括小公司股票在内的股票投资组合最为有利。仅表现出最低的初始市值的股票投资组合对应的29.51%的夏普比率分别为0.4545和0.4824,在2003年至2010年的样本期之外,高于股票市场的夏普比率0.4451。

著录项

  • 作者

    Grobys Klaus;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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