Correlation Between Speciality Restaurants and General Insurance
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By analyzing existing cross correlation between Speciality Restaurants Limited and General Insurance, you can compare the effects of market volatilities on Speciality Restaurants and General Insurance 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 Speciality Restaurants with a short position of General Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Speciality Restaurants and General Insurance.
Diversification Opportunities for Speciality Restaurants and General Insurance
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Speciality and General is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Speciality Restaurants Limited and General Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Insurance and Speciality Restaurants 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 Speciality Restaurants Limited are associated (or correlated) with General Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Insurance has no effect on the direction of Speciality Restaurants i.e., Speciality Restaurants and General Insurance go up and down completely randomly.
Pair Corralation between Speciality Restaurants and General Insurance
Assuming the 90 days trading horizon Speciality Restaurants Limited is expected to under-perform the General Insurance. But the stock apears to be less risky and, when comparing its historical volatility, Speciality Restaurants Limited is 1.97 times less risky than General Insurance. The stock trades about -0.17 of its potential returns per unit of risk. The General Insurance is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 36,030 in General Insurance on October 26, 2024 and sell it today you would earn a total of 7,915 from holding General Insurance or generate 21.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Speciality Restaurants Limited vs. General Insurance
Performance |
Timeline |
Speciality Restaurants |
General Insurance |
Speciality Restaurants and General Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Speciality Restaurants and General Insurance
The main advantage of trading using opposite Speciality Restaurants and General Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Speciality Restaurants position performs unexpectedly, General Insurance 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 General Insurance will offset losses from the drop in General Insurance's long position.Speciality Restaurants vs. Gallantt Ispat Limited | Speciality Restaurants vs. Hi Tech Pipes Limited | Speciality Restaurants vs. City Union Bank | Speciality Restaurants vs. The Hi Tech Gears |
General Insurance vs. State Bank of | General Insurance vs. Reliance Industries Limited | General Insurance vs. HDFC Bank Limited | General Insurance vs. Tata Motors Limited |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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