Correlation Between LGL and Alps Electric
Can any of the company-specific risk be diversified away by investing in both LGL and Alps Electric 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 Alps Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LGL Group and Alps Electric Co, you can compare the effects of market volatilities on LGL and Alps Electric 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 Alps Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of LGL and Alps Electric.
Diversification Opportunities for LGL and Alps Electric
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between LGL and Alps is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding LGL Group and Alps Electric Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alps Electric 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 Alps Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alps Electric has no effect on the direction of LGL i.e., LGL and Alps Electric go up and down completely randomly.
Pair Corralation between LGL and Alps Electric
Considering the 90-day investment horizon LGL Group is expected to generate 1.75 times more return on investment than Alps Electric. However, LGL is 1.75 times more volatile than Alps Electric Co. It trades about 0.06 of its potential returns per unit of risk. Alps Electric Co is currently generating about 0.03 per unit of risk. If you would invest 589.00 in LGL Group on December 25, 2024 and sell it today you would earn a total of 61.00 from holding LGL Group or generate 10.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
LGL Group vs. Alps Electric Co
Performance |
Timeline |
LGL Group |
Alps Electric |
LGL and Alps Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LGL and Alps Electric
The main advantage of trading using opposite LGL and Alps Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LGL position performs unexpectedly, Alps Electric 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 Alps Electric will offset losses from the drop in Alps Electric's long position.The idea behind LGL Group and Alps Electric Co 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.Alps Electric vs. alpha En | Alps Electric vs. Bitmine Immersion Technologies | Alps Electric vs. American Aires | Alps Electric vs. AT S Austria |
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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