Correlation Between Super Retail and L1 Long
Can any of the company-specific risk be diversified away by investing in both Super Retail and L1 Long 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 Super Retail and L1 Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Super Retail Group and L1 Long Short, you can compare the effects of market volatilities on Super Retail and L1 Long 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 Super Retail with a short position of L1 Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Super Retail and L1 Long.
Diversification Opportunities for Super Retail and L1 Long
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Super and LSF is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Super Retail Group and L1 Long Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on L1 Long Short and Super Retail 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 Super Retail Group are associated (or correlated) with L1 Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of L1 Long Short has no effect on the direction of Super Retail i.e., Super Retail and L1 Long go up and down completely randomly.
Pair Corralation between Super Retail and L1 Long
Assuming the 90 days trading horizon Super Retail Group is expected to under-perform the L1 Long. In addition to that, Super Retail is 1.57 times more volatile than L1 Long Short. It trades about -0.11 of its total potential returns per unit of risk. L1 Long Short is currently generating about -0.01 per unit of volatility. If you would invest 291.00 in L1 Long Short on December 29, 2024 and sell it today you would lose (3.00) from holding L1 Long Short or give up 1.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Super Retail Group vs. L1 Long Short
Performance |
Timeline |
Super Retail Group |
L1 Long Short |
Super Retail and L1 Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Super Retail and L1 Long
The main advantage of trading using opposite Super Retail and L1 Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Super Retail position performs unexpectedly, L1 Long 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 L1 Long will offset losses from the drop in L1 Long's long position.Super Retail vs. Readytech Holdings | Super Retail vs. Land Homes Group | Super Retail vs. Energy Technologies Limited | Super Retail vs. Greentech Metals |
L1 Long vs. AiMedia Technologies | L1 Long vs. Dalaroo Metals | L1 Long vs. Asian Battery Metals | L1 Long vs. Sports Entertainment Group |
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 Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA |