Correlation Between KVH Industries and United Fire
Can any of the company-specific risk be diversified away by investing in both KVH Industries and United Fire 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 KVH Industries and United Fire into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KVH Industries and United Fire Group, you can compare the effects of market volatilities on KVH Industries and United Fire 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 KVH Industries with a short position of United Fire. Check out your portfolio center. Please also check ongoing floating volatility patterns of KVH Industries and United Fire.
Diversification Opportunities for KVH Industries and United Fire
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between KVH and United is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding KVH Industries and United Fire Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Fire Group and KVH 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 KVH Industries are associated (or correlated) with United Fire. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Fire Group has no effect on the direction of KVH Industries i.e., KVH Industries and United Fire go up and down completely randomly.
Pair Corralation between KVH Industries and United Fire
Given the investment horizon of 90 days KVH Industries is expected to generate 1.97 times less return on investment than United Fire. But when comparing it to its historical volatility, KVH Industries is 1.23 times less risky than United Fire. It trades about 0.08 of its potential returns per unit of risk. United Fire Group is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,030 in United Fire Group on September 12, 2024 and sell it today you would earn a total of 1,045 from holding United Fire Group or generate 51.48% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
KVH Industries vs. United Fire Group
Performance |
| Timeline |
| KVH Industries |
| United Fire Group |
KVH Industries and United Fire Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KVH Industries and United Fire
The main advantage of trading using opposite KVH Industries and United Fire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KVH Industries position performs unexpectedly, United Fire 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 United Fire will offset losses from the drop in United Fire's long position.| KVH Industries vs. Telesat Corp | KVH Industries vs. Comtech Telecommunications Corp | KVH Industries vs. Knowles Cor | KVH Industries vs. Ituran Location and |
| United Fire vs. Donegal Group B | United Fire vs. Horace Mann Educators | United Fire vs. Donegal Group A | United Fire vs. Global Indemnity PLC |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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