Correlation Between Indian Metals and Oriental Carbon
Can any of the company-specific risk be diversified away by investing in both Indian Metals and Oriental Carbon 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 Indian Metals and Oriental Carbon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indian Metals Ferro and Oriental Carbon Chemicals, you can compare the effects of market volatilities on Indian Metals and Oriental Carbon 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 Indian Metals with a short position of Oriental Carbon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indian Metals and Oriental Carbon.
Diversification Opportunities for Indian Metals and Oriental Carbon
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Indian and Oriental is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Indian Metals Ferro and Oriental Carbon Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oriental Carbon Chemicals and Indian Metals 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 Indian Metals Ferro are associated (or correlated) with Oriental Carbon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oriental Carbon Chemicals has no effect on the direction of Indian Metals i.e., Indian Metals and Oriental Carbon go up and down completely randomly.
Pair Corralation between Indian Metals and Oriental Carbon
Assuming the 90 days trading horizon Indian Metals Ferro is expected to generate 0.69 times more return on investment than Oriental Carbon. However, Indian Metals Ferro is 1.46 times less risky than Oriental Carbon. It trades about 0.11 of its potential returns per unit of risk. Oriental Carbon Chemicals is currently generating about -0.02 per unit of risk. If you would invest 23,886 in Indian Metals Ferro on September 20, 2024 and sell it today you would earn a total of 69,299 from holding Indian Metals Ferro or generate 290.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Indian Metals Ferro vs. Oriental Carbon Chemicals
Performance |
Timeline |
Indian Metals Ferro |
Oriental Carbon Chemicals |
Indian Metals and Oriental Carbon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indian Metals and Oriental Carbon
The main advantage of trading using opposite Indian Metals and Oriental Carbon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indian Metals position performs unexpectedly, Oriental Carbon 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 Oriental Carbon will offset losses from the drop in Oriental Carbon's long position.Indian Metals vs. Embassy Office Parks | Indian Metals vs. Gujarat Narmada Valley | Indian Metals vs. Gujarat Alkalies and | Indian Metals vs. JTL Industries |
Oriental Carbon vs. Indian Metals Ferro | Oriental Carbon vs. Ankit Metal Power | Oriental Carbon vs. Hilton Metal Forging | Oriental Carbon vs. Thirumalai Chemicals 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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