Correlation Between HEG and State Bank
Can any of the company-specific risk be diversified away by investing in both HEG and State Bank 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 HEG and State Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HEG Limited and State Bank of, you can compare the effects of market volatilities on HEG and State 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 HEG with a short position of State Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of HEG and State Bank.
Diversification Opportunities for HEG and State Bank
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between HEG and State is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding HEG Limited and State Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Bank and HEG 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 HEG Limited are associated (or correlated) with State Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Bank has no effect on the direction of HEG i.e., HEG and State Bank go up and down completely randomly.
Pair Corralation between HEG and State Bank
Assuming the 90 days trading horizon HEG Limited is expected to generate 5.2 times more return on investment than State Bank. However, HEG is 5.2 times more volatile than State Bank of. It trades about 0.24 of its potential returns per unit of risk. State Bank of is currently generating about -0.14 per unit of risk. If you would invest 41,115 in HEG Limited on September 27, 2024 and sell it today you would earn a total of 11,980 from holding HEG Limited or generate 29.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
HEG Limited vs. State Bank of
Performance |
Timeline |
HEG Limited |
State Bank |
HEG and State Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HEG and State Bank
The main advantage of trading using opposite HEG and State Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HEG position performs unexpectedly, State 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 State Bank will offset losses from the drop in State Bank's long position.The idea behind HEG Limited and State Bank of pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.State Bank vs. AXISCADES Technologies Limited | State Bank vs. Krebs Biochemicals and | State Bank vs. Arrow Greentech Limited | State Bank vs. Jaypee Infratech 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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