Investment portfolios construction under the industrial chains of new-energy vehicles

Author:

He Xianhao

Abstract

New-energy vehicles are getting increasingly prevailing all around the world. Driven by the booming market, the whole industrial chains of new-energy are thriving. This essay combines the finance of a specific industry with the machine learning. It puts forward new suggestions and ideas for controlling the risks and expends the returns of the investment portfolio. This essay focuses on several new-energy leading enterprises in China and constructs a portfolio based on the Markowitz theory and gives the prediction to stock prices in one year based on Monte-Carlo Method to offer individual investors reasonable investment suggestions. It selects the daily stock prices of Tinci, Tianqi Lithium Corporation, Huayou Cobalt, CATL and BYD as the raw data including its opening price, closing price, highest possible price, lowest price, volume as well as the trading amount from 11st Jun 2018 to 28th Sep 2022. The experiment research shows that this method is effective in expanding returns and bringing risks down.

Publisher

Boya Century Publishing

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