Correlation Between Generic Engineering and Bajaj Healthcare
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By analyzing existing cross correlation between Generic Engineering Construction and Bajaj Healthcare Limited, you can compare the effects of market volatilities on Generic Engineering and Bajaj Healthcare 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 Generic Engineering with a short position of Bajaj Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Generic Engineering and Bajaj Healthcare.
Diversification Opportunities for Generic Engineering and Bajaj Healthcare
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Generic and Bajaj is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Generic Engineering Constructi and Bajaj Healthcare Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bajaj Healthcare and Generic Engineering 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 Generic Engineering Construction are associated (or correlated) with Bajaj Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bajaj Healthcare has no effect on the direction of Generic Engineering i.e., Generic Engineering and Bajaj Healthcare go up and down completely randomly.
Pair Corralation between Generic Engineering and Bajaj Healthcare
Assuming the 90 days trading horizon Generic Engineering Construction is expected to under-perform the Bajaj Healthcare. But the stock apears to be less risky and, when comparing its historical volatility, Generic Engineering Construction is 1.19 times less risky than Bajaj Healthcare. The stock trades about -0.14 of its potential returns per unit of risk. The Bajaj Healthcare Limited is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 55,290 in Bajaj Healthcare Limited on December 26, 2024 and sell it today you would earn a total of 15,930 from holding Bajaj Healthcare Limited or generate 28.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Generic Engineering Constructi vs. Bajaj Healthcare Limited
Performance |
Timeline |
Generic Engineering |
Bajaj Healthcare |
Generic Engineering and Bajaj Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Generic Engineering and Bajaj Healthcare
The main advantage of trading using opposite Generic Engineering and Bajaj Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Generic Engineering position performs unexpectedly, Bajaj Healthcare 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 Bajaj Healthcare will offset losses from the drop in Bajaj Healthcare's long position.Generic Engineering vs. Osia Hyper Retail | Generic Engineering vs. Silgo Retail Limited | Generic Engineering vs. Jindal Drilling And | Generic Engineering vs. Hindustan Foods Limited |
Bajaj Healthcare vs. Megastar Foods Limited | Bajaj Healthcare vs. Ortel Communications Limited | Bajaj Healthcare vs. Kaynes Technology India | Bajaj Healthcare vs. Heritage Foods 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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