Correlation Between E Data and Yunsa Yunlu
Can any of the company-specific risk be diversified away by investing in both E Data and Yunsa Yunlu 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 E Data and Yunsa Yunlu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between E Data Teknoloji Pazarlama and Yunsa Yunlu Sanayi, you can compare the effects of market volatilities on E Data and Yunsa Yunlu 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 E Data with a short position of Yunsa Yunlu. Check out your portfolio center. Please also check ongoing floating volatility patterns of E Data and Yunsa Yunlu.
Diversification Opportunities for E Data and Yunsa Yunlu
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between EDATA and Yunsa is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding E Data Teknoloji Pazarlama and Yunsa Yunlu Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yunsa Yunlu Sanayi and E Data 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 E Data Teknoloji Pazarlama are associated (or correlated) with Yunsa Yunlu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yunsa Yunlu Sanayi has no effect on the direction of E Data i.e., E Data and Yunsa Yunlu go up and down completely randomly.
Pair Corralation between E Data and Yunsa Yunlu
Assuming the 90 days trading horizon E Data Teknoloji Pazarlama is expected to under-perform the Yunsa Yunlu. In addition to that, E Data is 1.72 times more volatile than Yunsa Yunlu Sanayi. It trades about -0.05 of its total potential returns per unit of risk. Yunsa Yunlu Sanayi is currently generating about 0.06 per unit of volatility. If you would invest 624.00 in Yunsa Yunlu Sanayi on September 23, 2024 and sell it today you would earn a total of 10.00 from holding Yunsa Yunlu Sanayi or generate 1.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
E Data Teknoloji Pazarlama vs. Yunsa Yunlu Sanayi
Performance |
Timeline |
E Data Teknoloji |
Yunsa Yunlu Sanayi |
E Data and Yunsa Yunlu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with E Data and Yunsa Yunlu
The main advantage of trading using opposite E Data and Yunsa Yunlu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if E Data position performs unexpectedly, Yunsa Yunlu 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 Yunsa Yunlu will offset losses from the drop in Yunsa Yunlu's long position.E Data vs. Escort Teknoloji Yatirim | E Data vs. Koc Holding AS | E Data vs. Silverline Endustri ve | E Data vs. Turkiye Petrol Rafinerileri |
Yunsa Yunlu vs. MEGA METAL | Yunsa Yunlu vs. ICBC Turkey Bank | Yunsa Yunlu vs. Cuhadaroglu Metal Sanayi | Yunsa Yunlu vs. Trabzonspor Sportif Yatirim |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |