Correlation Between ON SEMICONDUCTOR and Aqua Metals
Can any of the company-specific risk be diversified away by investing in both ON SEMICONDUCTOR and Aqua Metals 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 ON SEMICONDUCTOR and Aqua Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ON SEMICONDUCTOR and Aqua Metals, you can compare the effects of market volatilities on ON SEMICONDUCTOR and Aqua Metals 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 ON SEMICONDUCTOR with a short position of Aqua Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of ON SEMICONDUCTOR and Aqua Metals.
Diversification Opportunities for ON SEMICONDUCTOR and Aqua Metals
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between XS4 and Aqua is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding ON SEMICONDUCTOR and Aqua Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqua Metals and ON SEMICONDUCTOR 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 ON SEMICONDUCTOR are associated (or correlated) with Aqua Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqua Metals has no effect on the direction of ON SEMICONDUCTOR i.e., ON SEMICONDUCTOR and Aqua Metals go up and down completely randomly.
Pair Corralation between ON SEMICONDUCTOR and Aqua Metals
Assuming the 90 days trading horizon ON SEMICONDUCTOR is expected to generate 0.44 times more return on investment than Aqua Metals. However, ON SEMICONDUCTOR is 2.26 times less risky than Aqua Metals. It trades about -0.01 of its potential returns per unit of risk. Aqua Metals is currently generating about -0.04 per unit of risk. If you would invest 7,380 in ON SEMICONDUCTOR on October 24, 2024 and sell it today you would lose (2,026) from holding ON SEMICONDUCTOR or give up 27.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.6% |
Values | Daily Returns |
ON SEMICONDUCTOR vs. Aqua Metals
Performance |
Timeline |
ON SEMICONDUCTOR |
Aqua Metals |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
ON SEMICONDUCTOR and Aqua Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ON SEMICONDUCTOR and Aqua Metals
The main advantage of trading using opposite ON SEMICONDUCTOR and Aqua Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ON SEMICONDUCTOR position performs unexpectedly, Aqua Metals 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 Aqua Metals will offset losses from the drop in Aqua Metals' long position.ON SEMICONDUCTOR vs. Ultra Clean Holdings | ON SEMICONDUCTOR vs. Perseus Mining Limited | ON SEMICONDUCTOR vs. GRIFFIN MINING LTD | ON SEMICONDUCTOR vs. Zijin Mining Group |
Aqua Metals vs. MAVEN WIRELESS SWEDEN | Aqua Metals vs. SALESFORCE INC CDR | Aqua Metals vs. Corporate Office Properties | Aqua Metals vs. KENEDIX OFFICE INV |
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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