Correlation Between Ingram Micro and Peker Gayrimenkul
Can any of the company-specific risk be diversified away by investing in both Ingram Micro and Peker Gayrimenkul 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 Ingram Micro and Peker Gayrimenkul into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ingram Micro Bilisim and Peker Gayrimenkul Yatirim, you can compare the effects of market volatilities on Ingram Micro and Peker Gayrimenkul 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 Ingram Micro with a short position of Peker Gayrimenkul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ingram Micro and Peker Gayrimenkul.
Diversification Opportunities for Ingram Micro and Peker Gayrimenkul
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ingram and Peker is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Ingram Micro Bilisim and Peker Gayrimenkul Yatirim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peker Gayrimenkul Yatirim and Ingram Micro 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 Ingram Micro Bilisim are associated (or correlated) with Peker Gayrimenkul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peker Gayrimenkul Yatirim has no effect on the direction of Ingram Micro i.e., Ingram Micro and Peker Gayrimenkul go up and down completely randomly.
Pair Corralation between Ingram Micro and Peker Gayrimenkul
Assuming the 90 days trading horizon Ingram Micro is expected to generate 2.96 times less return on investment than Peker Gayrimenkul. But when comparing it to its historical volatility, Ingram Micro Bilisim is 2.88 times less risky than Peker Gayrimenkul. It trades about 0.04 of its potential returns per unit of risk. Peker Gayrimenkul Yatirim is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 85.00 in Peker Gayrimenkul Yatirim on October 4, 2024 and sell it today you would earn a total of 66.00 from holding Peker Gayrimenkul Yatirim or generate 77.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.99% |
Values | Daily Returns |
Ingram Micro Bilisim vs. Peker Gayrimenkul Yatirim
Performance |
Timeline |
Ingram Micro Bilisim |
Peker Gayrimenkul Yatirim |
Ingram Micro and Peker Gayrimenkul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ingram Micro and Peker Gayrimenkul
The main advantage of trading using opposite Ingram Micro and Peker Gayrimenkul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ingram Micro position performs unexpectedly, Peker Gayrimenkul 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 Peker Gayrimenkul will offset losses from the drop in Peker Gayrimenkul's long position.Ingram Micro vs. Cuhadaroglu Metal Sanayi | Ingram Micro vs. Politeknik Metal Sanayi | Ingram Micro vs. MEGA METAL | Ingram Micro vs. Koza Anadolu Metal |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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