Two indicators used in quantitative analysis are standard deviation and correlation coefficient.
1. Standard deviation: It measures the variation or volatility of the data points in a dataset. It is calculated by taking the square root of the variance. The higher the standard deviation, the more dispersed the data points are from the average. In finance, standard deviation is often used to measure the risk associated with investments. Higher standard deviation indicates higher risk.
2. Correlation coefficient: It measures the strength of the relationship between two variables. It is calculated by dividing the covariance between the two variables by the product of their standard deviations. Correlation coefficient can range from -1 to 1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation. Correlation coefficient is often used in finance to assess the relationship between two stocks or other financial instruments. A higher correlation coefficient indicates a stronger relationship between the variables being compared.
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