Correlation Between LGL and Knowles Cor
Can any of the company-specific risk be diversified away by investing in both LGL and Knowles Cor 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 LGL and Knowles Cor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LGL Group and Knowles Cor, you can compare the effects of market volatilities on LGL and Knowles Cor 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 LGL with a short position of Knowles Cor. Check out your portfolio center. Please also check ongoing floating volatility patterns of LGL and Knowles Cor.
Diversification Opportunities for LGL and Knowles Cor
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between LGL and Knowles is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding LGL Group and Knowles Cor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Knowles Cor and LGL 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 LGL Group are associated (or correlated) with Knowles Cor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Knowles Cor has no effect on the direction of LGL i.e., LGL and Knowles Cor go up and down completely randomly.
Pair Corralation between LGL and Knowles Cor
Considering the 90-day investment horizon LGL is expected to generate 11.55 times less return on investment than Knowles Cor. In addition to that, LGL is 1.72 times more volatile than Knowles Cor. It trades about 0.01 of its total potential returns per unit of risk. Knowles Cor is currently generating about 0.1 per unit of volatility. If you would invest 1,739 in Knowles Cor on September 2, 2024 and sell it today you would earn a total of 207.00 from holding Knowles Cor or generate 11.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
LGL Group vs. Knowles Cor
Performance |
Timeline |
LGL Group |
Knowles Cor |
LGL and Knowles Cor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LGL and Knowles Cor
The main advantage of trading using opposite LGL and Knowles Cor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LGL position performs unexpectedly, Knowles Cor 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 Knowles Cor will offset losses from the drop in Knowles Cor's long position.The idea behind LGL Group and Knowles Cor pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Knowles Cor vs. Mynaric AG ADR | Knowles Cor vs. Comtech Telecommunications Corp | Knowles Cor vs. Ituran Location and | Knowles Cor vs. Aviat Networks |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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