Correlation Between Kalyani Steels and City Union
Can any of the company-specific risk be diversified away by investing in both Kalyani Steels and City Union 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 Kalyani Steels and City Union into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kalyani Steels Limited and City Union Bank, you can compare the effects of market volatilities on Kalyani Steels and City Union 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 Kalyani Steels with a short position of City Union. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kalyani Steels and City Union.
Diversification Opportunities for Kalyani Steels and City Union
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kalyani and City is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Kalyani Steels Limited and City Union Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on City Union Bank and Kalyani Steels 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 Kalyani Steels Limited are associated (or correlated) with City Union. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of City Union Bank has no effect on the direction of Kalyani Steels i.e., Kalyani Steels and City Union go up and down completely randomly.
Pair Corralation between Kalyani Steels and City Union
Assuming the 90 days trading horizon Kalyani Steels Limited is expected to generate 3.12 times more return on investment than City Union. However, Kalyani Steels is 3.12 times more volatile than City Union Bank. It trades about 0.5 of its potential returns per unit of risk. City Union Bank is currently generating about 0.02 per unit of risk. If you would invest 77,450 in Kalyani Steels Limited on September 26, 2024 and sell it today you would earn a total of 42,425 from holding Kalyani Steels Limited or generate 54.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kalyani Steels Limited vs. City Union Bank
Performance |
Timeline |
Kalyani Steels |
City Union Bank |
Kalyani Steels and City Union Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kalyani Steels and City Union
The main advantage of trading using opposite Kalyani Steels and City Union positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kalyani Steels position performs unexpectedly, City Union 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 City Union will offset losses from the drop in City Union's long position.Kalyani Steels vs. NMDC Limited | Kalyani Steels vs. Steel Authority of | Kalyani Steels vs. Embassy Office Parks | Kalyani Steels vs. Gujarat Narmada Valley |
City Union vs. Kingfa Science Technology | City Union vs. Rico Auto Industries | City Union vs. GACM Technologies Limited | City Union vs. COSMO FIRST 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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