Correlation Between Power Finance and Entertainment Network
Can any of the company-specific risk be diversified away by investing in both Power Finance and Entertainment Network 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 Entertainment Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Finance and Entertainment Network Limited, you can compare the effects of market volatilities on Power Finance and Entertainment Network 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 Entertainment Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Finance and Entertainment Network.
Diversification Opportunities for Power Finance and Entertainment Network
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Power and Entertainment is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Power Finance and Entertainment Network Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Entertainment Network 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 Entertainment Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Entertainment Network has no effect on the direction of Power Finance i.e., Power Finance and Entertainment Network go up and down completely randomly.
Pair Corralation between Power Finance and Entertainment Network
Assuming the 90 days trading horizon Power Finance is expected to under-perform the Entertainment Network. In addition to that, Power Finance is 1.18 times more volatile than Entertainment Network Limited. It trades about -0.16 of its total potential returns per unit of risk. Entertainment Network Limited is currently generating about -0.18 per unit of volatility. If you would invest 18,585 in Entertainment Network Limited on December 2, 2024 and sell it today you would lose (4,410) from holding Entertainment Network Limited or give up 23.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Power Finance vs. Entertainment Network Limited
Performance |
Timeline |
Power Finance |
Entertainment Network |
Power Finance and Entertainment Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Finance and Entertainment Network
The main advantage of trading using opposite Power Finance and Entertainment Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Finance position performs unexpectedly, Entertainment Network 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 Entertainment Network will offset losses from the drop in Entertainment Network's long position.Power Finance vs. Tube Investments of | Power Finance vs. POWERGRID Infrastructure Investment | Power Finance vs. Dhunseri Investments Limited | Power Finance vs. ILFS Investment Managers |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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