What to learn from Procter Gamble Brand Quantitative Management

Quantitative investment strategy is a general term for strategies and algorithms that use quantitative methods to analyze, judge and trade in the financial market.

Types of quantitative investment strategies include:

1) Trend judgment quantitative investment strategy, judgment trend type is a high-risk investment method, through the judgment of the trend of ** or **, the corresponding investment operation. If the trend is judged to be upward, go long, if the trend is judged to be downward, then short, and if the trend is consolidated, then sell high and buy low. The advantage of this method is that the yield is high, and the disadvantage is that it is risky.

If you make a mistake, you may suffer significant losses. Therefore, the trend investment method is suitable for investors with a relatively high risk tolerance, and will also have the opportunity to obtain high returns when taking large risks.

2) Volatility judgment quantitative investment strategy, judgment volatility investment method, essentially trying to eliminate systemic risk and earn stable returns. The main investment method of this method is arbitrage, that is, the operation of selling another or n varieties at the same time and selling another or n varieties, which is also called hedging trading. No matter which direction this method fluctuates in, whether it is up or down, you can get a relatively stable income.

In a bull market, this method does not exceed the benchmark in terms of returns, but in a bear market, it can avoid large losses and still have some good gains.

Many people do not understand quantitative investment, and Micro Network pointed out that in fact, just like the difference between traditional Chinese medicine and Western medicine, traditional Chinese medicine relies on experience, paying attention to "looking, smelling, asking, cutting, and listening", and Western medicine relies on indicators to comprehensively judge the condition through a series of examination data. Quantitative investing is nothing more than using indicators and formulas.

Drive investment and trading. Or take ** as an example, sellers need to consider arranging customer service equipment and commodity logistics arrangements for this year's Double 11, if sellers judge according to last year's experience, "there are more buyers at noon" so that they are in.

Double the customer service at noon and make an appointment for logistics, which is qualitative investment. If the seller uses cloud computing to model and analyze the sales big data of last year's Double 11, it is found that "11:25 to.

12:15, 12:45-13:30" period is the most active trading, and therefore multiplies customer service and appointment logistics, which is the quantitative investment of micronetwork.

Quantification can be understood as big data

Learn about quantitative investing in one minute.

Quantitative investment is a trading that uses quantitative software tools to write trading ideas into trading strategies. You can refer to the article: Quantitative Investment Trading Strategies. Exploitation.

Quantitative management theory is a theory that starts from the goal, uses scientific and quantitative means to design the organizational system and establish standards for specific work, which covers all areas of enterprise management such as enterprise strategy formulation, organizational system construction, and quantitative management of specific work, and is a systematic quantitative management theory that solves enterprise problems as a whole.

Quantitative management originated in the United States and was introduced to China after the reform and opening up. In the late eighties and early nineties of the twentieth century, quantitative town management was introduced into schools.

Nowadays, quantitative management has almost become synonymous with scientific management, where management is not quantified is not scientific, so quantitative management is regarded as a management classic, widely used in all walks of life, quantitative management shows a trend of continuous generalization. This paper tries to help people understand and grasp quantitative management more objectively and accurately through the theoretical basis of quantitative management. Quantitative management theory is a systematic management theory derived from international advanced management concepts and management practices of world-renowned companies.

Risk quantification is used to measure the risk probability and the degree of impact of risk on the project goal, which is based on the risk management plan, risk and risk condition ranking table, historical data, expert judgment and other plan results, using sensitivity analysis, decision analysis and simulation methods and techniques, to obtain quantitative sequence listings, project confirmation studies and required emergency resources.

1. Expected value method. The expected value method, or the expected amount of funds, is an important indicator of risk assessment.

2. Statistical sum method. Statistics Plus always sums up the estimated costs of each specific work topic to calculate the range of variation in costs for the entire project.

3. Simulation method. Simulations use assumptions or system models to analyze system behavior or system performance. A more common simulation model is to use the project model as a project framework to create a project schedule.

4. Decision tree. A decision tree is an easy-to-understand diagram used by decision-makers to illustrate the interactions between different decisions and related contingencies.