Correlation Between SBI Life and CSB Bank
Specify exactly 2 symbols:
By analyzing existing cross correlation between SBI Life Insurance and CSB Bank Limited, you can compare the effects of market volatilities on SBI Life and CSB Bank 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 Life with a short position of CSB Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Life and CSB Bank.
Diversification Opportunities for SBI Life and CSB Bank
Weak diversification
The 3 months correlation between SBI and CSB is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding SBI Life Insurance and CSB Bank Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CSB Bank Limited and SBI Life 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 Life Insurance are associated (or correlated) with CSB Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CSB Bank Limited has no effect on the direction of SBI Life i.e., SBI Life and CSB Bank go up and down completely randomly.
Pair Corralation between SBI Life and CSB Bank
Assuming the 90 days trading horizon SBI Life is expected to generate 1.41 times less return on investment than CSB Bank. But when comparing it to its historical volatility, SBI Life Insurance is 1.14 times less risky than CSB Bank. It trades about 0.15 of its potential returns per unit of risk. CSB Bank Limited is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 36,300 in CSB Bank Limited on April 24, 2025 and sell it today you would earn a total of 6,580 from holding CSB Bank Limited or generate 18.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SBI Life Insurance vs. CSB Bank Limited
Performance |
Timeline |
SBI Life Insurance |
CSB Bank Limited |
SBI Life and CSB Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBI Life and CSB Bank
The main advantage of trading using opposite SBI Life and CSB Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Life position performs unexpectedly, CSB Bank 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 CSB Bank will offset losses from the drop in CSB Bank's long position.SBI Life vs. State Bank of | SBI Life vs. Life Insurance | SBI Life vs. HDFC Bank Limited | SBI Life vs. ICICI Bank Limited |
CSB Bank vs. Shyam Metalics and | CSB Bank vs. JHS Svendgaard Retail | CSB Bank vs. Allied Blenders Distillers | CSB Bank vs. METALIETF |
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 Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Other Complementary Tools
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |