Correlation Between Escort Teknoloji and Seker Finansal
Can any of the company-specific risk be diversified away by investing in both Escort Teknoloji and Seker Finansal 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 Escort Teknoloji and Seker Finansal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Escort Teknoloji Yatirim and Seker Finansal Kiralama, you can compare the effects of market volatilities on Escort Teknoloji and Seker Finansal 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 Escort Teknoloji with a short position of Seker Finansal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Escort Teknoloji and Seker Finansal.
Diversification Opportunities for Escort Teknoloji and Seker Finansal
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Escort and Seker is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Escort Teknoloji Yatirim and Seker Finansal Kiralama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seker Finansal Kiralama and Escort Teknoloji 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 Escort Teknoloji Yatirim are associated (or correlated) with Seker Finansal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seker Finansal Kiralama has no effect on the direction of Escort Teknoloji i.e., Escort Teknoloji and Seker Finansal go up and down completely randomly.
Pair Corralation between Escort Teknoloji and Seker Finansal
Assuming the 90 days trading horizon Escort Teknoloji Yatirim is expected to under-perform the Seker Finansal. In addition to that, Escort Teknoloji is 1.13 times more volatile than Seker Finansal Kiralama. It trades about -0.04 of its total potential returns per unit of risk. Seker Finansal Kiralama is currently generating about -0.01 per unit of volatility. If you would invest 900.00 in Seker Finansal Kiralama on October 9, 2024 and sell it today you would lose (132.00) from holding Seker Finansal Kiralama or give up 14.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.45% |
Values | Daily Returns |
Escort Teknoloji Yatirim vs. Seker Finansal Kiralama
Performance |
Timeline |
Escort Teknoloji Yatirim |
Seker Finansal Kiralama |
Escort Teknoloji and Seker Finansal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Escort Teknoloji and Seker Finansal
The main advantage of trading using opposite Escort Teknoloji and Seker Finansal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Escort Teknoloji position performs unexpectedly, Seker Finansal 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 Seker Finansal will offset losses from the drop in Seker Finansal's long position.Escort Teknoloji vs. Akbank TAS | Escort Teknoloji vs. Cuhadaroglu Metal Sanayi | Escort Teknoloji vs. KOC METALURJI | Escort Teknoloji vs. Sodas Sodyum Sanayi |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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