Correlation Between Lakeland Industries and Co Diagnostics
Can any of the company-specific risk be diversified away by investing in both Lakeland Industries and Co Diagnostics 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 Lakeland Industries and Co Diagnostics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lakeland Industries and Co Diagnostics, you can compare the effects of market volatilities on Lakeland Industries and Co Diagnostics 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 Lakeland Industries with a short position of Co Diagnostics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lakeland Industries and Co Diagnostics.
Diversification Opportunities for Lakeland Industries and Co Diagnostics
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lakeland and CODX is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Lakeland Industries and Co Diagnostics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Co Diagnostics and Lakeland 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 Lakeland Industries are associated (or correlated) with Co Diagnostics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Co Diagnostics has no effect on the direction of Lakeland Industries i.e., Lakeland Industries and Co Diagnostics go up and down completely randomly.
Pair Corralation between Lakeland Industries and Co Diagnostics
Given the investment horizon of 90 days Lakeland Industries is expected to generate 0.83 times more return on investment than Co Diagnostics. However, Lakeland Industries is 1.2 times less risky than Co Diagnostics. It trades about -0.03 of its potential returns per unit of risk. Co Diagnostics is currently generating about -0.07 per unit of risk. If you would invest 1,600 in Lakeland Industries on May 6, 2025 and sell it today you would lose (224.00) from holding Lakeland Industries or give up 14.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lakeland Industries vs. Co Diagnostics
Performance |
Timeline |
Lakeland Industries |
Co Diagnostics |
Lakeland Industries and Co Diagnostics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lakeland Industries and Co Diagnostics
The main advantage of trading using opposite Lakeland Industries and Co Diagnostics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lakeland Industries position performs unexpectedly, Co Diagnostics 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 Co Diagnostics will offset losses from the drop in Co Diagnostics' long position.Lakeland Industries vs. G III Apparel Group | Lakeland Industries vs. Jerash Holdings | Lakeland Industries vs. Gildan Activewear | Lakeland Industries vs. Superior Uniform Group |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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