Investment strategy of quantitative investment

Quantitative investment technology covers almost the whole process of investment, including quantitative stock selection, quantitative timing, stock index futures arbitrage, commodity futures arbitrage, statistical arbitrage, algorithmic trading, asset allocation, risk control and so on. The logic principle of commodity futures arbitrage profit is based on the following aspects:

(1) Related commodities have reasonable price differences in different places and at different times.

(2) Due to price fluctuation, the price difference is often unreasonable.

(3) Unreasonable must return to reasonable.

(4) Unreasonable return to a reasonable price range is the profit range. Asset allocation refers to the selection of asset categories, proper allocation of various assets in the portfolio, and real-time management of these mixed assets. Quantitative investment management combines traditional portfolio theory with quantitative analysis technology, which greatly enriches the connotation of asset allocation and forms the basic framework of modern asset allocation theory.

It breaks through the limitations of traditional active investment and index investment, and its investment method is based on the statistical analysis of public data of various asset classes. By comparing the statistical characteristics of different asset categories, a mathematical model is established, and then the allocation target and proportion of portfolio assets are determined.