Correlation Between Patrick Industries and Progress Software
Can any of the company-specific risk be diversified away by investing in both Patrick Industries and Progress Software at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Patrick Industries and Progress Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Patrick Industries and Progress Software, you can compare the effects of market volatilities on Patrick Industries and Progress Software and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Patrick Industries with a short position of Progress Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Patrick Industries and Progress Software.
Diversification Opportunities for Patrick Industries and Progress Software
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Patrick and Progress is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Patrick Industries and Progress Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Progress Software and Patrick Industries is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Patrick Industries are associated (or correlated) with Progress Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Progress Software has no effect on the direction of Patrick Industries i.e., Patrick Industries and Progress Software go up and down completely randomly.
Pair Corralation between Patrick Industries and Progress Software
Given the investment horizon of 90 days Patrick Industries is expected to generate 0.91 times more return on investment than Progress Software. However, Patrick Industries is 1.1 times less risky than Progress Software. It trades about 0.14 of its potential returns per unit of risk. Progress Software is currently generating about -0.16 per unit of risk. If you would invest 8,254 in Patrick Industries on May 3, 2025 and sell it today you would earn a total of 1,470 from holding Patrick Industries or generate 17.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Patrick Industries vs. Progress Software
Performance |
Timeline |
Patrick Industries |
Progress Software |
Patrick Industries and Progress Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Patrick Industries and Progress Software
The main advantage of trading using opposite Patrick Industries and Progress Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Patrick Industries position performs unexpectedly, Progress Software can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Progress Software will offset losses from the drop in Progress Software's long position.Patrick Industries vs. La Z Boy Incorporated | Patrick Industries vs. Hooker Furniture | Patrick Industries vs. Flexsteel Industries | Patrick Industries vs. Bassett Furniture Industries |
Progress Software vs. PDF Solutions | Progress Software vs. ePlus inc | Progress Software vs. PROS Holdings | Progress Software vs. Blackbaud |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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