Correlation Between Power Finance and NRB Industrial
Can any of the company-specific risk be diversified away by investing in both Power Finance and NRB Industrial 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 Power Finance and NRB Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Finance and NRB Industrial Bearings, you can compare the effects of market volatilities on Power Finance and NRB Industrial 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 Power Finance with a short position of NRB Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Finance and NRB Industrial.
Diversification Opportunities for Power Finance and NRB Industrial
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Power and NRB is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Power Finance and NRB Industrial Bearings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NRB Industrial Bearings and Power Finance 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 Power Finance are associated (or correlated) with NRB Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NRB Industrial Bearings has no effect on the direction of Power Finance i.e., Power Finance and NRB Industrial go up and down completely randomly.
Pair Corralation between Power Finance and NRB Industrial
Assuming the 90 days trading horizon Power Finance is expected to generate 0.8 times more return on investment than NRB Industrial. However, Power Finance is 1.25 times less risky than NRB Industrial. It trades about 0.05 of its potential returns per unit of risk. NRB Industrial Bearings is currently generating about -0.18 per unit of risk. If you would invest 43,514 in Power Finance on September 23, 2024 and sell it today you would earn a total of 1,816 from holding Power Finance or generate 4.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.67% |
Values | Daily Returns |
Power Finance vs. NRB Industrial Bearings
Performance |
Timeline |
Power Finance |
NRB Industrial Bearings |
Power Finance and NRB Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Finance and NRB Industrial
The main advantage of trading using opposite Power Finance and NRB Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Finance position performs unexpectedly, NRB Industrial 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 NRB Industrial will offset losses from the drop in NRB Industrial's long position.Power Finance vs. Kingfa Science Technology | Power Finance vs. Rico Auto Industries | Power Finance vs. GACM Technologies Limited | Power Finance vs. COSMO FIRST LIMITED |
NRB Industrial vs. Reliance Industries Limited | NRB Industrial vs. Oil Natural Gas | NRB Industrial vs. Power Finance | NRB Industrial vs. Indian Oil |
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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