Correlation Between Media and INPOST SA
Can any of the company-specific risk be diversified away by investing in both Media and INPOST SA 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 and INPOST SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Media and Games and INPOST SA EO, you can compare the effects of market volatilities on Media and INPOST SA 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 with a short position of INPOST SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Media and INPOST SA.
Diversification Opportunities for Media and INPOST SA
Modest diversification
The 3 months correlation between Media and INPOST is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Media and Games and INPOST SA EO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INPOST SA EO and Media 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 and Games are associated (or correlated) with INPOST SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INPOST SA EO has no effect on the direction of Media i.e., Media and INPOST SA go up and down completely randomly.
Pair Corralation between Media and INPOST SA
Assuming the 90 days trading horizon Media and Games is expected to generate 2.55 times more return on investment than INPOST SA. However, Media is 2.55 times more volatile than INPOST SA EO. It trades about 0.18 of its potential returns per unit of risk. INPOST SA EO is currently generating about -0.15 per unit of risk. If you would invest 350.00 in Media and Games on August 26, 2024 and sell it today you would earn a total of 50.00 from holding Media and Games or generate 14.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Media and Games vs. INPOST SA EO
Performance |
| Timeline |
| Media and Games |
| INPOST SA EO |
Media and INPOST SA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Media and INPOST SA
The main advantage of trading using opposite Media and INPOST SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Media position performs unexpectedly, INPOST SA 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 INPOST SA will offset losses from the drop in INPOST SA's long position.The idea behind Media and Games and INPOST SA EO pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| INPOST SA vs. GameStop Corp | INPOST SA vs. GAMING FAC SA | INPOST SA vs. Media and Games | INPOST SA vs. Sporttotal AG |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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