What are quantitative funds? Is it risky?
Since 2009, a craze for "quantitative funds" has quietly started. China Overseas Fund, Changsheng Fund, Everbright Baode and Wells Fargo Fund have successively launched their own quantitative products, and Wells Fargo is launching the Wells Fargo 300. Enhanced funds are also the first enhanced index funds because of the introduction of quantitative concepts. Regarding quantitative funds, the international capital market, especially the U.S. market, has made great progress and formed a considerable scale. Through mathematical statistical analysis, quantitative funds select securities whose future returns may exceed the benchmark for investment, in order to achieve gains beyond index funds. income.
Different from ordinary funds, quantitative funds mainly use quantitative investment strategies for portfolio management. In general, the strategies used by quantitative funds include: quantitative stock selection, quantitative timing, stock index futures arbitrage, commodity Futures arbitrage, statistical arbitrage, options arbitrage, algorithmic trading, asset allocation, etc.
What does quantitative capital analysis mean?
Capital quantitative analysis is to count and analyze various capitals.
1. Quantization is to discrete the amplitude of the instantaneous value obtained by sampling, that is, using a set of specified levels, and representing the instantaneous sampled value with the closest level value.
2. Classification of quantization
2.1 Uniform quantization and non-uniform quantization are divided into uniform quantization and non-uniform quantization according to the division of quantization levels.
Uniform quantization: The ADC input dynamic range is evenly divided into 2^n parts.
Non-uniform quantization: The ADC input dynamic range is divided unevenly, and an exponential-like curve is generally used for quantification.
How about Morgan Stanley quantitative allocation fund? Is the capital guaranteed? Is the return good?
It is not a capital-guaranteed fund, and its return rate this year has been average.
What does share quantification mean?
To put it simply, stock quantification is the use of mathematical models to execute stock trading logic.
Quantitative trading is based on computer technology. Through the analysis of historical data, trading logic is converted into mathematical language and programmed with the help of programming language.
The current quantitative trading does not realize all aspects of automated trading. Because of the uncertainty in the market, most quantitative teams still rely on manual and technical quantification to make investments.
Stock quantification has the following characteristics:
1. Programmed. Stock quantification is based on the operation results of mathematical models to make decisions, which directly avoids the influence of investor emotional factors from the operational process and eliminates irrational investment choices.
2. Modeling. Stock quantification is performed based on multi-level, multi-angle, and multi-data. To complete the analysis and result output of multiple variables, it requires the support of multi-dimensional and complete models. For example, asset allocation, industry selection, market structure, market sentiment, etc.
3. Arbitrage thinking. Stock quantification is a process of value analysis through comprehensive and systematic data analysis. The essence is still to make profits by buying low and selling high.
4. Chase the high probability. Stock quantification is the application of profit-making rules derived from a large amount of historical market data, and reasonable asset allocation is achieved through calculation, which is more based on investment portfolios rather than individual assets.
4399 What does a quantitative engineer do?
4399 Quantitative Engineers are responsible for the research, design and development of quantitative investment strategies.
If you are building a trading system, then the main job is to structure the trading system and build the trading system. Ensure that the strategy can be stably executed according to the strategic ideas.
Responsible for the development, model establishment, effect evaluation and optimization of quantitative strategies based on fund products, including attempts at traditional asset allocation strategies, passive investment strategies, momentum strategies and some active investment strategies