Correlation Between NiSource and Franklin Utilities
Can any of the company-specific risk be diversified away by investing in both NiSource and Franklin Utilities 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 NiSource and Franklin Utilities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NiSource and Franklin Utilities Fund, you can compare the effects of market volatilities on NiSource and Franklin Utilities 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 NiSource with a short position of Franklin Utilities. Check out your portfolio center. Please also check ongoing floating volatility patterns of NiSource and Franklin Utilities.
Diversification Opportunities for NiSource and Franklin Utilities
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NiSource and Franklin is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding NiSource and Franklin Utilities Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Utilities and NiSource 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 NiSource are associated (or correlated) with Franklin Utilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Utilities has no effect on the direction of NiSource i.e., NiSource and Franklin Utilities go up and down completely randomly.
Pair Corralation between NiSource and Franklin Utilities
Allowing for the 90-day total investment horizon NiSource is expected to generate 1.07 times more return on investment than Franklin Utilities. However, NiSource is 1.07 times more volatile than Franklin Utilities Fund. It trades about 0.23 of its potential returns per unit of risk. Franklin Utilities Fund is currently generating about 0.2 per unit of risk. If you would invest 2,536 in NiSource on August 25, 2024 and sell it today you would earn a total of 1,235 from holding NiSource or generate 48.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
NiSource vs. Franklin Utilities Fund
Performance |
| Timeline |
| NiSource |
| Franklin Utilities |
NiSource and Franklin Utilities Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NiSource and Franklin Utilities
The main advantage of trading using opposite NiSource and Franklin Utilities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NiSource position performs unexpectedly, Franklin Utilities 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 Franklin Utilities will offset losses from the drop in Franklin Utilities' long position.| NiSource vs. NewJersey Resources | NiSource vs. Northwest Natural Gas | NiSource vs. UGI Corporation | NiSource vs. Spire Inc |
| Franklin Utilities vs. Angel Oak Ultrashort | Franklin Utilities vs. Calvert Short Duration | Franklin Utilities vs. Locorr Longshort Modities | Franklin Utilities vs. Aqr Long Short Equity |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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