Correlation Between Media Times and Premier Insurance
Can any of the company-specific risk be diversified away by investing in both Media Times and Premier Insurance 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 Media Times and Premier Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Media Times and Premier Insurance, you can compare the effects of market volatilities on Media Times and Premier Insurance 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 Media Times with a short position of Premier Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Media Times and Premier Insurance.
Diversification Opportunities for Media Times and Premier Insurance
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Media and Premier is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Media Times and Premier Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premier Insurance and Media Times 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 Media Times are associated (or correlated) with Premier Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premier Insurance has no effect on the direction of Media Times i.e., Media Times and Premier Insurance go up and down completely randomly.
Pair Corralation between Media Times and Premier Insurance
Assuming the 90 days trading horizon Media Times is expected to generate 1.87 times more return on investment than Premier Insurance. However, Media Times is 1.87 times more volatile than Premier Insurance. It trades about 0.02 of its potential returns per unit of risk. Premier Insurance is currently generating about 0.0 per unit of risk. If you would invest 219.00 in Media Times on September 27, 2024 and sell it today you would lose (3.00) from holding Media Times or give up 1.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Media Times vs. Premier Insurance
Performance |
Timeline |
Media Times |
Premier Insurance |
Media Times and Premier Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Media Times and Premier Insurance
The main advantage of trading using opposite Media Times and Premier Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Media Times position performs unexpectedly, Premier Insurance 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 Premier Insurance will offset losses from the drop in Premier Insurance's long position.Media Times vs. Pakistan Telecommunication | Media Times vs. Century Insurance | Media Times vs. Engro Polymer Chemicals | Media Times vs. Shaheen Insurance |
Premier Insurance vs. Mari Petroleum | Premier Insurance vs. Tariq CorpPref | Premier Insurance vs. Media Times | Premier Insurance vs. Sardar Chemical Industries |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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