What does quantitative analysis mean? What does quantification mean?

Quantitative trading. refers to advanced mathematical models.

Instead of human subjective judgment, the use of computer technology from the huge historical data to select a variety of "high probability" events that can bring excess returns to formulate strategies, greatly reducing the impact of investor sentiment fluctuations, to avoid making irrational investment decisions in the case of extreme market fanaticism or pessimism.

The quantitative approach is a quantitative analysis of the risks that are prioritized through qualitative risk analysis. Although experienced risk managers sometimes perform quantitative analysis directly after risk identification, quantitative risk analysis is generally conducted after qualitative risk analysis. Quantitative risk analysis should generally be repeated at the same time as the risk response plan is determined to determine whether the total project risk has been reduced to a satisfactory level.

Trends reflected in repeated quantitative risk analyses can indicate the need to increase or decrease risk management measures, serve as a basis for risk response plans, and serve as an integral part of risk monitoring and control.

Quantitative analysis is also used as an analytical method to quantify risks that are prioritized through qualitative risk analysis. Quantitative analysis has spread throughout all aspects of our lives, mostly used in finance, economics and other fields. In this way, it can help us to measure risks and benefits more conveniently and intuitively, for example, on the quantitative analysis of **, which is reflected in various trend charts.

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Quantitative investment refers to the establishment of a scientific investment system through quantitative models to obtain stable returns. To be more specific, it is expressed in a specific quantity, others ask how long a rope is, A is a little long, B is 3 meters, and B is quantitative, which can be understood simply, and can be further understood in the application process of "Quantitative Investment."

Quantitative analysis is to represent some non-specific and ambiguous factors with specific data, so as to achieve the purpose of analysis and comparison.

Quantitative investment technology covers almost the whole process of investment, including quantitative stock selection, quantitative timing, stock index arbitrage, commodity arbitrage, statistical arbitrage, algorithmic trading, asset allocation, risk control, etc.

Although quantitative analysis can help us measure risks and benefits more conveniently and intuitively, it should be emphasized that Emmanuel Deman, a top quantitative finance master on Wall Street in the United States and a famous professor at Columbia University, admitted without hesitation in the article "How Mathematical Modeling Decored Wall Street": It is impossible for us to invent a model that can ****** how it will change (through mathematical analysis); If we believe that human behavior can be completely mathematically obeyed, and thus confuse models with many limitations, the result will certainly be a disaster.

Human cognition of the law of fluctuation is a very challenging and world-class problem. To date, no theory or method has been convincing and has stood the test of time.

In 2000, the famous economist Robert Shiller pointed out in his book "Irrational Exuberance": "We should remember that pricing does not form a perfect science";

In 2013, the Royal Swedish Academy of Sciences, in awarding Robert Schiller et al. the Nobel Prize in Economic Sciences that year, pointed out that there is hardly any way to pinpoint the direction of the bond market in the coming days or weeks, but perhaps research can be done over three years or more.

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"Quantification" in daily work life refers to the fact that the goal or task is specific and can be clearly measured.

Depending on the situation, it can be expressed in terms of quantity, specific statistics, range measurement, length of time, etc.

Other explanations:Quantization in digital signal processing.

Domain is the process of approximating a continuous number of values (or a large number of possible discrete values) of a signal to a finite number (or few) of discrete values.

Quantization is mainly used in the conversion from continuous signals to digital signals.

A continuous signal is sampled to become a discrete signal, and a discrete signal is quantized to become a digital signal.

Note that discrete signals usually do not need to go through a quantization process, but may be in the value range.

It is not discrete, but still needs to go through a quantitative process.

Signal sampling and quantization are typically done by ADCs.

Quantification is the process of transforming a complex concept or phenomenon into measurable and comparable numerical values or indicators through a certain method. For example, quantify a company's operating status as indicators such as turnover, profit, and market share, and quantify a person's height, weight, etc. into specific values. Quantification can make abstract concepts and complex phenomena more concrete and explicit, making it easier to compare and analyze.

In the fields of data analysis, market research, scientific research, etc., quantification is a commonly used analytical method.

Quantitative assets refer to the assets that if the original enterprise was originally collectively owned, and later carried out the shareholding system transformation, as a member of the enterprise, it will naturally get some shares of the enterprise, but these shares cannot be issued to the employees of the enterprise in cash, but the assets obtained by the enterprise, such as land, plant, equipment, etc., are divided into shares, and then distributed to the assets of each employee.

Before talking about quantitative funds, let's look at what quantitative investing is. Quantitative investment is a trading method that sends out buy and sell orders in a quantitative way and programmatically on a computer to obtain stable returns. To put it simply, quantitative investment is made up of a group of scholars who are proficient in mathematics, statistics, and computers, who go to find the law of the seemingly irregular ** market in the virtual year, and then build an investment model, and finally invest according to its method, so quantitative funds are the money to buy quantitative **.

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