Correlation Between Data Agro and Media Times

Can any of the company-specific risk be diversified away by investing in both Data Agro and Media Times 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 Data Agro and Media Times into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Data Agro and Media Times, you can compare the effects of market volatilities on Data Agro and Media Times 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 Data Agro with a short position of Media Times. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data Agro and Media Times.

Diversification Opportunities for Data Agro and Media Times

0.26

Correlation Coefficient

Data Agro  Media Times

Modest diversification

The 3 months correlation between Data and Media is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Data Agro and Media Times in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Media Times and Data Agro 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 Data Agro are associated (or correlated) with Media Times. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Media Times has no effect on the direction of Data Agro i.e., Data Agro and Media Times go up and down completely randomly.

Pair Corralation between Data Agro and Media Times

Assuming the 90 days trading horizon Data Agro is expected to generate 1.17 times more return on investment than Media Times. However, Data Agro is 1.17 times more volatile than Media Times. It trades about 0.17 of its potential returns per unit of risk. Media Times is currently generating about 0.03 per unit of risk. If you would invest  1,156  in Data Agro on October 11, 2024 and sell it today you would earn a total of  11,504  from holding Data Agro or generate 995.16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	58.63%
Values	Daily Returns

Data Agro  vs.  Media Times

Data Agro

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Data Agro are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Data Agro sustained solid returns over the last few months and may actually be approaching a breakup point.

Media Times

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Media Times are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Media Times sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Data Agro and Media Times

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

The idea behind Data Agro and Media Times 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.