Correlation Between Exponent and Chart Industries
Can any of the company-specific risk be diversified away by investing in both Exponent and Chart Industries 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 Exponent and Chart Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exponent and Chart Industries, you can compare the effects of market volatilities on Exponent and Chart Industries 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 Exponent with a short position of Chart Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exponent and Chart Industries.
Diversification Opportunities for Exponent and Chart Industries
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Exponent and Chart is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Exponent and Chart Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chart Industries and Exponent 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 Exponent are associated (or correlated) with Chart Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chart Industries has no effect on the direction of Exponent i.e., Exponent and Chart Industries go up and down completely randomly.
Pair Corralation between Exponent and Chart Industries
Given the investment horizon of 90 days Exponent is expected to under-perform the Chart Industries. But the stock apears to be less risky and, when comparing its historical volatility, Exponent is 2.0 times less risky than Chart Industries. The stock trades about -0.09 of its potential returns per unit of risk. The Chart Industries is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 13,587 in Chart Industries on April 29, 2025 and sell it today you would earn a total of 3,578 from holding Chart Industries or generate 26.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Exponent vs. Chart Industries
Performance |
Timeline |
Exponent |
Chart Industries |
Exponent and Chart Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Exponent and Chart Industries
The main advantage of trading using opposite Exponent and Chart Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exponent position performs unexpectedly, Chart Industries 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 Chart Industries will offset losses from the drop in Chart Industries' long position.Exponent vs. CRA International | Exponent vs. Huron Consulting Group | Exponent vs. Forrester Research | Exponent vs. Resources Connection |
Chart Industries vs. Clean Harbors | Chart Industries vs. Crane Company | Chart Industries vs. Exponent | Chart Industries vs. Franklin Electric Co |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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