An Empirical Study on the Modeling of an Optimal Investment Portfolio Using Multivariate Model of Conditional Heteroscedasticity: Evidence from the Chinese Stock Exchanges
- 10.2991/aebmr.k.200312.179How to use a DOI?
For any subject of economic relations, the main purpose of investments is to maximize income and minimize risks, as well as to save money from inflation. The best way to achieve this goal is a portfolio approach to investment. Nowadays, there are plenty of strategies and techniques for the construction and management of the investment portfolio, therefore, the problem of choosing the most effective investment policy is particularly relevant for any investor. Markowitz portfolio optimization model is very popular among investors around the world in recent decades, but also is criticized a lot by different scholars. To mitigate the problems of the Markowitz optimization model, we decided to apply multivariate time series forecast to an optimization process and examined, whether the use of multivariate time series models in a portfolio optimization process can improve portfolio performance and decrease overall volatility. Using a Markowitz optimization model and the BEKK GARCH model, portfolios for different levels of risk has been constructed for the Shanghai Stock Exchange and Hong Kong Stock Exchange. Backtesting results show, that in fact, portfolios constructed through a multivariate time series forecast decrease overall portfolio volatility. Also, we have found, that applied models outperformed the stock market indexes, which confirms the efficiency of the implementation of both models for portfolio construction techniques.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - A Shchankina AU - Zou Ping PY - 2020 DA - 2020/03/17 TI - An Empirical Study on the Modeling of an Optimal Investment Portfolio Using Multivariate Model of Conditional Heteroscedasticity: Evidence from the Chinese Stock Exchanges BT - Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020) PB - Atlantis Press SP - 1300 EP - 1311 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200312.179 DO - 10.2991/aebmr.k.200312.179 ID - Shchankina2020 ER -