Correlation Between Media and SCIENCE IN

Can any of the company-specific risk be diversified away by investing in both Media and SCIENCE IN 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 SCIENCE IN 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 SCIENCE IN SPORT, you can compare the effects of market volatilities on Media and SCIENCE IN 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 SCIENCE IN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Media and SCIENCE IN.

Diversification Opportunities for Media and SCIENCE IN

0.57

Correlation Coefficient

Media  SCIENCE IN

Very weak diversification

The 3 months correlation between Media and SCIENCE is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Media and Games and SCIENCE IN SPORT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCIENCE IN SPORT 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 SCIENCE IN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCIENCE IN SPORT has no effect on the direction of Media i.e., Media and SCIENCE IN go up and down completely randomly.

Pair Corralation between Media and SCIENCE IN

Assuming the 90 days trading horizon Media and Games is expected to generate 1.7 times more return on investment than SCIENCE IN. However, Media is 1.7 times more volatile than SCIENCE IN SPORT. It trades about 0.06 of its potential returns per unit of risk. SCIENCE IN SPORT is currently generating about 0.09 per unit of risk. If you would invest  319.00  in Media and Games on September 4, 2024 and sell it today you would earn a total of  34.00  from holding Media and Games or generate 10.66% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.46%
Values	Daily Returns

Media and Games  vs.  SCIENCE IN SPORT

Media and Games

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Media and Games are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating technical and fundamental indicators, Media unveiled solid returns over the last few months and may actually be approaching a breakup point.

SCIENCE IN SPORT

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCIENCE IN SPORT are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, SCIENCE IN may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Media and SCIENCE IN

The main advantage of trading using opposite Media and SCIENCE IN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Media position performs unexpectedly, SCIENCE IN 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 SCIENCE IN will offset losses from the drop in SCIENCE IN's long position.

The idea behind Media and Games and SCIENCE IN SPORT 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.

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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.