Correlation coefficients are used in science and finance to assess the degree of association between two variables, factors, or data sets. For example, as high oil prices are favorable for crude ...

The example above gives a weighted average correlation of 0.34, which indicates that, on average, the assets in our portfolio have a moderate tendency to move in the same direction.

In the above example, Apple and the S&P 500 have a correlation coefficient of 0.73817, which indicates a strong relationship between the two over 90 days of data.

Correlation is not causation, but it sure is a hint.” Here are some further examples demonstrating this logical fallacy: As ice cream sales increase, the rate of drowning deaths increases.

Big Data. Cloud. Advanced Network Solutions. Cloud 100. Consumer Tech. ... For example, from 1926 to 2013, the correlation between the US stock market and 5-year Treasury note monthly returns has ...

The days of obsession over causation and correlation are upon us. Two of the most conspicuous examples of big data in action are Google’s data-aggregating tools: Google Flu Trends and Google Dengue ...

Negative correlation is also called inverse correlation, which is a relationship between two variables in which one increases as the other decreases, and vice versa.

Most advisors and investors inclined to use portfolio-building statistics tend to rely upon multi-year correlation data. Morningstar, for example, typically cranks out stats based on a portfolio's ...

While reporting on data, the difference between correlation and causation comes up often. ... A lighter example from this guide: When I wake up at 9 a.m., the sun is always up.