Correlation Between NYSE Composite and Lantronix
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Lantronix 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 NYSE Composite and Lantronix into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Lantronix, you can compare the effects of market volatilities on NYSE Composite and Lantronix 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 NYSE Composite with a short position of Lantronix. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Lantronix.
Diversification Opportunities for NYSE Composite and Lantronix
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NYSE and Lantronix is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Lantronix in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lantronix and NYSE Composite 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 NYSE Composite are associated (or correlated) with Lantronix. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lantronix has no effect on the direction of NYSE Composite i.e., NYSE Composite and Lantronix go up and down completely randomly.
Pair Corralation between NYSE Composite and Lantronix
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.12 times more return on investment than Lantronix. However, NYSE Composite is 8.45 times less risky than Lantronix. It trades about 0.12 of its potential returns per unit of risk. Lantronix is currently generating about -0.03 per unit of risk. If you would invest 1,929,223 in NYSE Composite on August 30, 2024 and sell it today you would earn a total of 91,759 from holding NYSE Composite or generate 4.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Lantronix
Performance |
Timeline |
NYSE Composite and Lantronix Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Lantronix
Pair trading matchups for Lantronix
Pair Trading with NYSE Composite and Lantronix
The main advantage of trading using opposite NYSE Composite and Lantronix positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Lantronix 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 Lantronix will offset losses from the drop in Lantronix's long position.NYSE Composite vs. Delek Drilling | NYSE Composite vs. Helmerich and Payne | NYSE Composite vs. Waste Management | NYSE Composite vs. US Global Investors |
Lantronix vs. LightPath Technologies | Lantronix vs. Luna Innovations Incorporated | Lantronix vs. Identiv | Lantronix vs. VOXX International |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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