Sector Analysis and Portfolio Optimisation: The Indian Experience

Rakesh Gupta, P. Basu
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引用次数: 13

Abstract

With changing global financial environment and emergence of new economic powers in recent decades, diversification of investment portfolios at country and sector levels assumed additional significance. Optimum portfolio selection within a capital market is primarily based on the best risk-return trade-off among the industry sectors. Literature suggests that much of market volatility can be attributed to substantial increase in sector specific and sub-sector specific risks. This research has estimated the dynamics of correlations of stock market returns between industry sectors in India using Asymmetric DCC GARCH model and tested efficient portfolios that generates returns above the market average. Analysis of daily and monthly market data for the period April 1997 to April 2007 on a sample of 10 industry sectors selected randomly indicates that investors can substantially improve their reward to risk as compared with the market returns. Major contributions of this research are two fold. It used a computationally efficient model for estimating correlations that can incorporate the changes in correlations over time and it applied the model for the Indian market where research is extremely inadequate.
行业分析和投资组合优化:印度的经验
近几十年来,随着全球金融环境的变化和新的经济大国的出现,国家和部门一级投资组合的多样化具有更加重要的意义。资本市场的最佳投资组合选择主要基于行业部门之间的最佳风险回报权衡。文献表明,大部分市场波动可归因于特定行业和分行业特定风险的大幅增加。本研究使用非对称DCC GARCH模型估计了印度各行业之间股票市场回报的相关性动态,并测试了产生高于市场平均水平回报的有效投资组合。对1997年4月至2007年4月期间随机抽取的10个行业样本的每日和每月市场数据进行分析表明,与市场回报相比,投资者可以大大提高他们的风险回报。本研究的主要贡献有两个方面。它使用了一个计算效率高的模型来估计相关性,该模型可以纳入相关性随时间的变化,并将该模型应用于研究极其不足的印度市场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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