Correlation Between State Bank and ILFS Investment
Can any of the company-specific risk be diversified away by investing in both State Bank and ILFS Investment 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 ILFS Investment 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 ILFS Investment Managers, you can compare the effects of market volatilities on State Bank and ILFS Investment 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 ILFS Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Bank and ILFS Investment.
Diversification Opportunities for State Bank and ILFS Investment
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between State and ILFS is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding State Bank of and ILFS Investment Managers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ILFS Investment Managers 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 ILFS Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ILFS Investment Managers has no effect on the direction of State Bank i.e., State Bank and ILFS Investment go up and down completely randomly.
Pair Corralation between State Bank and ILFS Investment
Assuming the 90 days trading horizon State Bank of is expected to generate 0.61 times more return on investment than ILFS Investment. However, State Bank of is 1.64 times less risky than ILFS Investment. It trades about -0.02 of its potential returns per unit of risk. ILFS Investment Managers is currently generating about -0.13 per unit of risk. If you would invest 78,830 in State Bank of on December 29, 2024 and sell it today you would lose (1,680) from holding State Bank of or give up 2.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
State Bank of vs. ILFS Investment Managers
Performance |
Timeline |
State Bank |
ILFS Investment Managers |
State Bank and ILFS Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with State Bank and ILFS Investment
The main advantage of trading using opposite State Bank and ILFS Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Bank position performs unexpectedly, ILFS Investment 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 ILFS Investment will offset losses from the drop in ILFS Investment's long position.State Bank vs. Pritish Nandy Communications | State Bank vs. ideaForge Technology Limited | State Bank vs. Computer Age Management | State Bank vs. Sonata Software Limited |
ILFS Investment vs. The Federal Bank | ILFS Investment vs. Punjab National Bank | ILFS Investment vs. Bodhi Tree Multimedia | ILFS Investment vs. Karur Vysya Bank |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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