Correlation Between LGI and WA1 Resources
Can any of the company-specific risk be diversified away by investing in both LGI and WA1 Resources 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 LGI and WA1 Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LGI and WA1 Resources, you can compare the effects of market volatilities on LGI and WA1 Resources 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 LGI with a short position of WA1 Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of LGI and WA1 Resources.
Diversification Opportunities for LGI and WA1 Resources
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between LGI and WA1 is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding LGI and WA1 Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WA1 Resources and LGI 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 LGI are associated (or correlated) with WA1 Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WA1 Resources has no effect on the direction of LGI i.e., LGI and WA1 Resources go up and down completely randomly.
Pair Corralation between LGI and WA1 Resources
Assuming the 90 days trading horizon LGI is expected to generate 0.62 times more return on investment than WA1 Resources. However, LGI is 1.6 times less risky than WA1 Resources. It trades about -0.07 of its potential returns per unit of risk. WA1 Resources is currently generating about -0.25 per unit of risk. If you would invest 310.00 in LGI on September 25, 2024 and sell it today you would lose (15.00) from holding LGI or give up 4.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
LGI vs. WA1 Resources
Performance |
Timeline |
LGI |
WA1 Resources |
LGI and WA1 Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LGI and WA1 Resources
The main advantage of trading using opposite LGI and WA1 Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LGI position performs unexpectedly, WA1 Resources 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 WA1 Resources will offset losses from the drop in WA1 Resources' long position.The idea behind LGI and WA1 Resources 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.WA1 Resources vs. Northern Star Resources | WA1 Resources vs. Evolution Mining | WA1 Resources vs. Aneka Tambang Tbk | WA1 Resources vs. Sandfire Resources NL |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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