Correlation Between JPM INDIAN and Maschinenfabrik Berthold
Can any of the company-specific risk be diversified away by investing in both JPM INDIAN and Maschinenfabrik Berthold 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 JPM INDIAN and Maschinenfabrik Berthold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPM INDIAN INVT and Maschinenfabrik Berthold Hermle, you can compare the effects of market volatilities on JPM INDIAN and Maschinenfabrik Berthold 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 JPM INDIAN with a short position of Maschinenfabrik Berthold. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPM INDIAN and Maschinenfabrik Berthold.
Diversification Opportunities for JPM INDIAN and Maschinenfabrik Berthold
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between JPM and Maschinenfabrik is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding JPM INDIAN INVT and Maschinenfabrik Berthold Herml in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maschinenfabrik Berthold and JPM INDIAN 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 JPM INDIAN INVT are associated (or correlated) with Maschinenfabrik Berthold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maschinenfabrik Berthold has no effect on the direction of JPM INDIAN i.e., JPM INDIAN and Maschinenfabrik Berthold go up and down completely randomly.
Pair Corralation between JPM INDIAN and Maschinenfabrik Berthold
Assuming the 90 days horizon JPM INDIAN INVT is expected to generate 0.76 times more return on investment than Maschinenfabrik Berthold. However, JPM INDIAN INVT is 1.32 times less risky than Maschinenfabrik Berthold. It trades about 0.05 of its potential returns per unit of risk. Maschinenfabrik Berthold Hermle is currently generating about -0.13 per unit of risk. If you would invest 1,170 in JPM INDIAN INVT on September 30, 2024 and sell it today you would earn a total of 80.00 from holding JPM INDIAN INVT or generate 6.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
JPM INDIAN INVT vs. Maschinenfabrik Berthold Herml
Performance |
Timeline |
JPM INDIAN INVT |
Maschinenfabrik Berthold |
JPM INDIAN and Maschinenfabrik Berthold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPM INDIAN and Maschinenfabrik Berthold
The main advantage of trading using opposite JPM INDIAN and Maschinenfabrik Berthold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPM INDIAN position performs unexpectedly, Maschinenfabrik Berthold 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 Maschinenfabrik Berthold will offset losses from the drop in Maschinenfabrik Berthold's long position.JPM INDIAN vs. Sunstone Hotel Investors | JPM INDIAN vs. HYATT HOTELS A | JPM INDIAN vs. Pebblebrook Hotel Trust | JPM INDIAN vs. Dairy Farm International |
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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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