Correlation Between US Nuclear and Keysight Technologies
Can any of the company-specific risk be diversified away by investing in both US Nuclear and Keysight Technologies 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 US Nuclear and Keysight Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Nuclear Corp and Keysight Technologies, you can compare the effects of market volatilities on US Nuclear and Keysight Technologies 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 US Nuclear with a short position of Keysight Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Nuclear and Keysight Technologies.
Diversification Opportunities for US Nuclear and Keysight Technologies
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between UCLE and Keysight is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding US Nuclear Corp and Keysight Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keysight Technologies and US Nuclear 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 US Nuclear Corp are associated (or correlated) with Keysight Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keysight Technologies has no effect on the direction of US Nuclear i.e., US Nuclear and Keysight Technologies go up and down completely randomly.
Pair Corralation between US Nuclear and Keysight Technologies
Given the investment horizon of 90 days US Nuclear Corp is expected to generate 28.21 times more return on investment than Keysight Technologies. However, US Nuclear is 28.21 times more volatile than Keysight Technologies. It trades about 0.17 of its potential returns per unit of risk. Keysight Technologies is currently generating about 0.2 per unit of risk. If you would invest 9.80 in US Nuclear Corp on September 19, 2024 and sell it today you would lose (1.80) from holding US Nuclear Corp or give up 18.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
US Nuclear Corp vs. Keysight Technologies
Performance |
Timeline |
US Nuclear Corp |
Keysight Technologies |
US Nuclear and Keysight Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Nuclear and Keysight Technologies
The main advantage of trading using opposite US Nuclear and Keysight Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Nuclear position performs unexpectedly, Keysight Technologies 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 Keysight Technologies will offset losses from the drop in Keysight Technologies' long position.US Nuclear vs. Garmin | US Nuclear vs. Keysight Technologies | US Nuclear vs. Fortive Corp | US Nuclear vs. Teledyne Technologies Incorporated |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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