Correlation Between SBI Insurance and DICKS Sporting
Can any of the company-specific risk be diversified away by investing in both SBI Insurance and DICKS Sporting 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 SBI Insurance and DICKS Sporting into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Insurance Group and DICKS Sporting Goods, you can compare the effects of market volatilities on SBI Insurance and DICKS Sporting 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 SBI Insurance with a short position of DICKS Sporting. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Insurance and DICKS Sporting.
Diversification Opportunities for SBI Insurance and DICKS Sporting
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SBI and DICKS is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group and DICKS Sporting Goods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DICKS Sporting Goods and SBI Insurance 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 SBI Insurance Group are associated (or correlated) with DICKS Sporting. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DICKS Sporting Goods has no effect on the direction of SBI Insurance i.e., SBI Insurance and DICKS Sporting go up and down completely randomly.
Pair Corralation between SBI Insurance and DICKS Sporting
Assuming the 90 days trading horizon SBI Insurance is expected to generate 1.37 times less return on investment than DICKS Sporting. But when comparing it to its historical volatility, SBI Insurance Group is 1.21 times less risky than DICKS Sporting. It trades about 0.13 of its potential returns per unit of risk. DICKS Sporting Goods is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 20,975 in DICKS Sporting Goods on October 17, 2024 and sell it today you would earn a total of 1,160 from holding DICKS Sporting Goods or generate 5.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SBI Insurance Group vs. DICKS Sporting Goods
Performance |
Timeline |
SBI Insurance Group |
DICKS Sporting Goods |
SBI Insurance and DICKS Sporting Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBI Insurance and DICKS Sporting
The main advantage of trading using opposite SBI Insurance and DICKS Sporting positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Insurance position performs unexpectedly, DICKS Sporting 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 DICKS Sporting will offset losses from the drop in DICKS Sporting's long position.SBI Insurance vs. Singapore Telecommunications Limited | SBI Insurance vs. Methode Electronics | SBI Insurance vs. Mobilezone Holding AG | SBI Insurance vs. Highlight Communications AG |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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