Correlation Between Lakeland Industries and Niagara Mohawk
Can any of the company-specific risk be diversified away by investing in both Lakeland Industries and Niagara Mohawk 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 Niagara Mohawk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lakeland Industries and Niagara Mohawk Power, you can compare the effects of market volatilities on Lakeland Industries and Niagara Mohawk 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 Niagara Mohawk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lakeland Industries and Niagara Mohawk.
Diversification Opportunities for Lakeland Industries and Niagara Mohawk
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lakeland and Niagara is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Lakeland Industries and Niagara Mohawk Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Niagara Mohawk Power 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 Niagara Mohawk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Niagara Mohawk Power has no effect on the direction of Lakeland Industries i.e., Lakeland Industries and Niagara Mohawk go up and down completely randomly.
Pair Corralation between Lakeland Industries and Niagara Mohawk
Given the investment horizon of 90 days Lakeland Industries is expected to generate 1.8 times more return on investment than Niagara Mohawk. However, Lakeland Industries is 1.8 times more volatile than Niagara Mohawk Power. It trades about 0.06 of its potential returns per unit of risk. Niagara Mohawk Power is currently generating about 0.09 per unit of risk. If you would invest 1,838 in Lakeland Industries on August 29, 2024 and sell it today you would earn a total of 345.00 from holding Lakeland Industries or generate 18.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Lakeland Industries vs. Niagara Mohawk Power
Performance |
Timeline |
Lakeland Industries |
Niagara Mohawk Power |
Lakeland Industries and Niagara Mohawk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lakeland Industries and Niagara Mohawk
The main advantage of trading using opposite Lakeland Industries and Niagara Mohawk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lakeland Industries position performs unexpectedly, Niagara Mohawk 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 Niagara Mohawk will offset losses from the drop in Niagara Mohawk's long position.Lakeland Industries vs. Vince Holding Corp | Lakeland Industries vs. Oxford Industries | Lakeland Industries vs. Gildan Activewear | Lakeland Industries vs. Columbia Sportswear |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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