Correlation Between L1 Long and Australian Foundation
Can any of the company-specific risk be diversified away by investing in both L1 Long and Australian Foundation 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 L1 Long and Australian Foundation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between L1 Long Short and Australian Foundation Investment, you can compare the effects of market volatilities on L1 Long and Australian Foundation 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 L1 Long with a short position of Australian Foundation. Check out your portfolio center. Please also check ongoing floating volatility patterns of L1 Long and Australian Foundation.
Diversification Opportunities for L1 Long and Australian Foundation
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between LSF and Australian is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding L1 Long Short and Australian Foundation Investme in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Australian Foundation and L1 Long 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 L1 Long Short are associated (or correlated) with Australian Foundation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Australian Foundation has no effect on the direction of L1 Long i.e., L1 Long and Australian Foundation go up and down completely randomly.
Pair Corralation between L1 Long and Australian Foundation
Assuming the 90 days trading horizon L1 Long Short is expected to under-perform the Australian Foundation. In addition to that, L1 Long is 2.54 times more volatile than Australian Foundation Investment. It trades about -0.03 of its total potential returns per unit of risk. Australian Foundation Investment is currently generating about 0.01 per unit of volatility. If you would invest 730.00 in Australian Foundation Investment on December 27, 2024 and sell it today you would earn a total of 2.00 from holding Australian Foundation Investment or generate 0.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
L1 Long Short vs. Australian Foundation Investme
Performance |
Timeline |
L1 Long Short |
Australian Foundation |
L1 Long and Australian Foundation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with L1 Long and Australian Foundation
The main advantage of trading using opposite L1 Long and Australian Foundation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if L1 Long position performs unexpectedly, Australian Foundation 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 Australian Foundation will offset losses from the drop in Australian Foundation's long position.L1 Long vs. Hansen Technologies | L1 Long vs. National Storage REIT | L1 Long vs. Autosports Group | L1 Long vs. Energy Technologies Limited |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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