Correlation Between Bombay Burmah and Gujarat Lease
Can any of the company-specific risk be diversified away by investing in both Bombay Burmah and Gujarat Lease 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 Bombay Burmah and Gujarat Lease into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bombay Burmah Trading and Gujarat Lease Financing, you can compare the effects of market volatilities on Bombay Burmah and Gujarat Lease 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 Bombay Burmah with a short position of Gujarat Lease. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bombay Burmah and Gujarat Lease.
Diversification Opportunities for Bombay Burmah and Gujarat Lease
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bombay and Gujarat is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Bombay Burmah Trading and Gujarat Lease Financing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gujarat Lease Financing and Bombay Burmah 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 Bombay Burmah Trading are associated (or correlated) with Gujarat Lease. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gujarat Lease Financing has no effect on the direction of Bombay Burmah i.e., Bombay Burmah and Gujarat Lease go up and down completely randomly.
Pair Corralation between Bombay Burmah and Gujarat Lease
Assuming the 90 days trading horizon Bombay Burmah Trading is expected to generate 1.93 times more return on investment than Gujarat Lease. However, Bombay Burmah is 1.93 times more volatile than Gujarat Lease Financing. It trades about -0.29 of its potential returns per unit of risk. Gujarat Lease Financing is currently generating about -0.56 per unit of risk. If you would invest 236,820 in Bombay Burmah Trading on October 10, 2024 and sell it today you would lose (30,420) from holding Bombay Burmah Trading or give up 12.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bombay Burmah Trading vs. Gujarat Lease Financing
Performance |
Timeline |
Bombay Burmah Trading |
Gujarat Lease Financing |
Bombay Burmah and Gujarat Lease Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bombay Burmah and Gujarat Lease
The main advantage of trading using opposite Bombay Burmah and Gujarat Lease positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bombay Burmah position performs unexpectedly, Gujarat Lease 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 Gujarat Lease will offset losses from the drop in Gujarat Lease's long position.Bombay Burmah vs. Tata Consultancy Services | Bombay Burmah vs. Quess Corp Limited | Bombay Burmah vs. Reliance Industries Limited | Bombay Burmah vs. Infosys Limited |
Gujarat Lease vs. State Bank of | Gujarat Lease vs. Life Insurance | Gujarat Lease vs. HDFC Bank Limited | Gujarat Lease vs. ICICI Bank 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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