Correlation Between State Bank and Lindsell Train
Can any of the company-specific risk be diversified away by investing in both State Bank and Lindsell Train 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 State Bank and Lindsell Train into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between State Bank of and Lindsell Train Investment, you can compare the effects of market volatilities on State Bank and Lindsell Train 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 State Bank with a short position of Lindsell Train. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Bank and Lindsell Train.
Diversification Opportunities for State Bank and Lindsell Train
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between State and Lindsell is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding State Bank of and Lindsell Train Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lindsell Train Investment and State Bank 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 State Bank of are associated (or correlated) with Lindsell Train. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lindsell Train Investment has no effect on the direction of State Bank i.e., State Bank and Lindsell Train go up and down completely randomly.
Pair Corralation between State Bank and Lindsell Train
Assuming the 90 days trading horizon State Bank of is expected to generate 1.22 times more return on investment than Lindsell Train. However, State Bank is 1.22 times more volatile than Lindsell Train Investment. It trades about 0.05 of its potential returns per unit of risk. Lindsell Train Investment is currently generating about -0.01 per unit of risk. If you would invest 7,623 in State Bank of on October 2, 2024 and sell it today you would earn a total of 1,597 from holding State Bank of or generate 20.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
State Bank of vs. Lindsell Train Investment
Performance |
Timeline |
State Bank |
Lindsell Train Investment |
State Bank and Lindsell Train Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with State Bank and Lindsell Train
The main advantage of trading using opposite State Bank and Lindsell Train positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Bank position performs unexpectedly, Lindsell Train 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 Lindsell Train will offset losses from the drop in Lindsell Train's long position.State Bank vs. Derwent London PLC | State Bank vs. Unilever PLC | State Bank vs. Supermarket Income REIT | State Bank vs. Invesco Health Care |
Lindsell Train vs. Derwent London PLC | Lindsell Train vs. Unilever PLC | Lindsell Train vs. Supermarket Income REIT | Lindsell Train vs. Invesco Health Care |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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