Question 2: Quantitative analysis of three levels What is quantitative investment?
In recent ten years, quantitative investment has become a hot spot and focus in the development of European and American capital markets, and has become a new method in the international investment community with rapid development momentum. Quantitative investment, fundamental analysis and technical analysis are also called the three mainstream methods. Due to the stable performance of quantitative investment trading strategy, its market scale and share are expanding, which is sought after by more and more investors around the world.
The fund with the highest rate of return in the past 20 years is grand medal of Fuxing Technology Company, which provides its clients with an average annual rate of return of 35%. In the past four years, the scale of Goldman Sachs' quantitative funds has doubled, exceeding $654.38+000 billion. Therefore, quantitative investment has become an important weapon for institutional investors.
The value of quantitative investment to fund companies/asset management companies is obvious:
The first is easy to expand. An effective quantitative model is that it can be quickly copied on multiple products, thus achieving rapid scale. This is most evident in Barclays' index enhancement products. By the end of 20 1 1, Barclays' quantitative fund management scale exceeded USD 65,438 +0.6 trillion, surpassing Fidelity Fund and becoming the largest asset management company in the world.
Secondly, you can get absolute income. The strategy of using quantitative hedging to build products that have nothing to do with market ups and downs and earn market neutrality is suitable for large institutional customers who pursue stable income, such as insurance funds and bank wealth management. The representative company of this product is BridgeWater, the largest hedge fund in the world, and its flagship product Pure Alpha has earned more than 35 billion US dollars in the past five years.
The third is to put an end to inside information and mouse warehouses. Quantitative investment only uses public data, and excavates the information hidden behind the public data through the operation of mathematical models, thus defeating the market and eliminating the possibility of insider information from methodology. In the process of trading, IT is impossible to make a mouse warehouse possible by using complex IT systems for programmatic trading. With the increasingly standardized supervision of domestic financial markets, quantitative investment will surely become the main method of investment research.
Theoretical basis of quantitative investment
When it comes to the theoretical basis of quantitative investment, we should start with the hypothesis of market efficiency. Technical analysis, fundamental analysis and quantitative analysis represent three different levels of an efficient market. In the invalid market, technical analysis is completely effective, which was well reflected in the first ten years of China capital market; When the market enters a weak efficient market, it can rely on fundamental analysis to obtain excess returns. The decade from 2000 to 20 10 basically belongs to this era. When the market enters the semi-strong efficient market, that is, from 20 10, we can observe that most products analyzed by fundamentals have been unable to obtain excess returns, and at this time, the domestic market has entered the semi-strong efficient market. Of course, when the market enters a strong and efficient market, no matter which method can outperform the market, then it can only be passively indexed.
The traditional efficient market hypothesis holds that in a semi-strong efficient market, we can only rely on non-profit (insider information or private information) to obtain excess returns. But what we can know is that there are not only insider information and private information, but also another way to obtain non-profit: that is, using data mining to mine non-profit from public data, that is, quantitative investment. This is also the reason why quantitative investment can flourish in mature markets such as the United States (basically entering a semi-strong efficient market state).
With the improvement of China's market efficiency, China began to enter the semi-strong efficient market stage, and the supervision of insider information became more and more severe, which made it more and more difficult to obtain non-* * benefits in this way, so quantitative investment became the best scientific theory and technology to obtain non-* * benefits.
Many people ask whether quantitative investment is just a short-lived concept or a scientific theory that can be effective for a long time. I think through the above analysis of efficient market hypothesis, I have got a clear answer: quantitative investment is the best analysis theory in semi-strong efficient market, and it is almost the only feasible analysis theory.
Bright prospects
After 30 years of rapid economic development, all walks of life in China have basically taken shape, and the space for young people to grow up is getting smaller and smaller. In the next decade, quantitative investment and hedge funds will be one of the few industries that can produce personal heroes, regardless of birth status or educational background ... >>
Question 3: What does quantitative analysis mean? The research object of quantitative analysis of enterprise human resource management is the quantitative aspect of enterprise human resource and its management activities. In the past, human resource management mainly focused on qualitative management, while modern human resource management can not be separated from quantitative management and analysis, which is based on the collection, collation and analysis of statistical data. Ma Yinchu, a famous demographer, said: "Scholars can't study without statistics, politicians can't govern without statistics, and entrepreneurs can't practice without statistics." It can be seen that statistical analysis is an important means of human resource management in enterprises. With China's entry into WTO and the improvement of scientific management requirements, the quantification of human resource management has gradually attracted the attention of all parties. This book is intended to explain how to make a quantitative analysis of human resource management in enterprises from a micro perspective.
Statistics is an important tool to understand the world. Quantitative analysis of human resource management mainly uses statistical tools and means to observe and analyze the quantitative expression and quantitative relationship of enterprise human resources and their management activities, and reveal the present situation, development, trend and regularity of objective phenomena. In the process of studying the phenomenon and process of human resources, the basic methods of statistical research-massive observation, statistical grouping and comprehensive index have been fully used and vividly demonstrated. Other methods of statistical research, such as dynamic analysis, statistical index analysis, correlation and regression analysis, also play a very important role in the quantitative analysis of human resource management.
This book focuses on the quantitative analysis and research of enterprise human resource management activities, which is divided into fourteen chapters.
Question 4: What is the quantitative research method? The so-called quantitative research method refers to introducing measurable methods into the research field and getting accurate results.
It is also the most brain-damaging. Generally, we should first seek various relationships, establish comparison standards, collect heavy data and try various models.
Repeated calculus ... Of course, it is unknowable whether there are measurable or unmeasurable measures for massive objects. The heavy work is
It is daunting for ordinary people.
Question 5: What is quantitative analysis in mathematical modeling? Mathematical modeling and Matlab are not necessarily related. Many people have never used Matlab, so they still model. It just shows that Matlab is a very important software in mathematical application, and its application can greatly simplify and optimize the process of mathematical solution, and make many processes visible. Matlab is a very good auxiliary tool for mathematical modeling.
Question 6: What is the quantitative analysis of talent evaluation? The quantitative method of talent evaluation refers to the activity of measuring and evaluating people's basic quality and performance through a series of scientific means and methods. The concrete object of talent evaluation method is not abstract people, but the inherent quality and performance of people as individuals. The methods of talent evaluation are included in the concept itself, namely talent measurement and talent evaluation. The main work of talent evaluation method is to understand the subject through various methods and provide reference and basis for enterprise human resource management decision-making. Help you choose the right person, and systematically reduce the risks brought by wrong employment to employers.
Question 7: What is the quantitative analysis of stock index futures? The quantitative analysis of stock index futures is to test and analyze the historical data of stock index futures through a certain "model" and then apply it to predict the future trend. The goal is to trade with high profit probability under the condition of controllable risks, so as to obtain lasting and stable profits.
Quantitative analysis is data analysis, refer to zhidao.baidu/question/2122011.
It is not easy to predict the whole market, which is equivalent to predicting the behavior of people (all those who trade in the market), or predicting the future. At present, the mainstream stock index futures (including other commodity futures) mainly generate trading signals through parameter filtering, such as the simplest, MACD gold forks open more positions, and dead forks turn short positions. There are two strategies, 1) trend tracking, that is, breaking through chasing up and killing down; 2) Mean regression, that is, high throwing and low sucking. The frequency ranges from minute data to daily data, from trading once every few days to trading dozens of times a day.
The means of realization are basically programmed transactions, excluding human interference. Or write your own program, or use third-party software (advertising will not be done).
Question 8: What is the significance of stock quantification? It refers to the ratio of the energy of the day to the average energy of the past five days.
Question 9: What is the concept of quantitative investment? The distinguishing feature of quantitative investment from qualitative investment is the model. For the relationship between models and people in quantitative investment, Quantico's Tianyu software can realize model stock selection. 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.
Question 10: What does quantitative analysis mean? Quantitative analysis is a quantitative analysis that ranks risks through qualitative risk analysis. Although experienced risk managers sometimes carry out quantitative analysis directly after risk identification, quantitative risk analysis is generally carried out after qualitative risk analysis. When determining the risk response plan, quantitative risk analysis should be carried out again to determine whether the total risk of the project has been reduced to a satisfactory level. The trend reflected by repeated quantitative risk analysis can point out the need to increase or decrease risk management measures, which is a basis of risk response plan and an integral part of risk monitoring and control.