首页> 外文OA文献 >Optimization Stock Portfolio with Mean-Variance and Linear Programming: Case in Indonesia Stock Market
【2h】

Optimization Stock Portfolio with Mean-Variance and Linear Programming: Case in Indonesia Stock Market

机译:具有均值方差和线性规划的优化股票投资组合:以印度尼西亚股票市场为例

摘要

It is observed that the number of Indonesia\u27s domestic investor who involved in the stock exchange is very less compare to its total number of population (only about 0.1%). As a result, Indonesia Stock Exchange (IDX) is highly affected by foreign investor that can threat the economy. Domestic investor tends to invest in risk-free asset such as deposit in the bank since they are not familiar yet with the stock market and anxious about the risk (risk-averse type of investor). Therefore, it is important to educate domestic investor to involve in the stock exchange. Investing in portfolio of stock is one of the best choices for risk-averse investor (such as Indonesia domestic investor) since it offers lower risk for a given level of return. This paper studies the optimization of Indonesian stock portfolio. The data is the historical return of 10 stocks of LQ 45 for 5 time series (January 2004 – December 2008). It will be focus on selecting stocks into a portfolio, setting 10 of stock portfolios using mean variance method combining with the linear programming (solver). Furthermore, based on Efficient Frontier concept and Sharpe measurement, there will be one stock portfolio picked as an optimum Portfolio (Namely Portfolio G). Then, Performance of portfolio G will be evaluated by using Sharpe, Treynor and Jensen Measurement to show whether the return of Portfolio G exceeds the market return. This paper also illustrates how the stock composition of the Optimum Portfolio (G) succeeds to predict the portfolio return in the future (5th January – 3rd April 2009). The result of the study observed that optimization portfolio using Mean-Variance (consistent with Markowitz theory) combine with linear programming can be applied into Indonesia stock\u27s portfolio. All the measurements (Sharpe, Jensen, and Treynor) show that the portfolio G is a superior portfolio. It is also been found that the composition (weights) stocks of optimum portfolio (G) can be used to predict the forward return (5th January – 3rd April 2009). It is shown that the stock portfolio return of 5th January – 3rd April 2009) has exceeded the market return for the same period of time based on Sharpe and Treynor measurement.
机译:据观察,参与证券交易所的印度尼西亚国内投资者数量与其总人口数量相比非常少(仅约0.1%)。结果,印尼证券交易所(IDX)受到可能威胁经济的外国投资者的高度影响。国内投资者倾向于对无风险资产进行投资,例如银行存款,因为他们还不熟悉股票市场并且对风险感到焦虑(规避风险的投资者类型)。因此,重要的是教育国内投资者参与证券交易所。投资于股票投资组合是规避风险的投资者(例如印尼国内投资者)的最佳选择之一,因为它在给定的回报水平下提供较低的风险。本文研究了印尼股票投资组合的优化。数据是10个LQ 45股票在5个时间序列(2004年1月至2008年12月)的历史回报。重点将放在选择股票入投资组合中,并使用均值方差法和线性规划(求解器)设置10个股票投资组合。此外,基于有效前沿概念和夏普度量,将选出一个股票投资组合作为最优投资组合(即投资组合G)。然后,将通过使用Sharpe,Treynor和Jensen Measurement对投资组合G的绩效进行评估,以显示投资组合G的回报是否超过市场回报。本文还说明了最佳投资组合(G)的股票构成如何成功预测未来(2009年1月5日至4月3日)的投资组合收益。研究结果表明,结合均值方差(与Markowitz理论一致)和线性规划相结合的优化投资组合可以应用于印尼股票投资组合。所有度量(Sharpe,Jensen和Treynor)均显示投资组合G是上乘的投资组合。还发现最佳投资组合(G)的成分(权重)股票可用于预测远期收益(2009年1月5日至4月3日)。根据Sharpe和Treynor的测算,表明2009年1月5日至4月3日的股票投资组合收益已超过同期的市场收益。

著录项

  • 作者

    Sun, Yen;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 EN
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号