Correlation Between Aksu Enerji and Politeknik Metal
Can any of the company-specific risk be diversified away by investing in both Aksu Enerji and Politeknik Metal 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 Aksu Enerji and Politeknik Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aksu Enerji ve and Politeknik Metal Sanayi, you can compare the effects of market volatilities on Aksu Enerji and Politeknik Metal 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 Aksu Enerji with a short position of Politeknik Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aksu Enerji and Politeknik Metal.
Diversification Opportunities for Aksu Enerji and Politeknik Metal
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aksu and Politeknik is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Aksu Enerji ve and Politeknik Metal Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Politeknik Metal Sanayi and Aksu Enerji 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 Aksu Enerji ve are associated (or correlated) with Politeknik Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Politeknik Metal Sanayi has no effect on the direction of Aksu Enerji i.e., Aksu Enerji and Politeknik Metal go up and down completely randomly.
Pair Corralation between Aksu Enerji and Politeknik Metal
Assuming the 90 days trading horizon Aksu Enerji is expected to generate 1.36 times less return on investment than Politeknik Metal. But when comparing it to its historical volatility, Aksu Enerji ve is 1.04 times less risky than Politeknik Metal. It trades about 0.05 of its potential returns per unit of risk. Politeknik Metal Sanayi is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 620,000 in Politeknik Metal Sanayi on October 11, 2024 and sell it today you would earn a total of 61,500 from holding Politeknik Metal Sanayi or generate 9.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aksu Enerji ve vs. Politeknik Metal Sanayi
Performance |
Timeline |
Aksu Enerji ve |
Politeknik Metal Sanayi |
Aksu Enerji and Politeknik Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aksu Enerji and Politeknik Metal
The main advantage of trading using opposite Aksu Enerji and Politeknik Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aksu Enerji position performs unexpectedly, Politeknik Metal 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 Politeknik Metal will offset losses from the drop in Politeknik Metal's long position.Aksu Enerji vs. Politeknik Metal Sanayi | Aksu Enerji vs. KOC METALURJI | Aksu Enerji vs. Turkiye Kalkinma Bankasi | Aksu Enerji vs. Gentas Genel Metal |
Politeknik Metal vs. E Data Teknoloji Pazarlama | Politeknik Metal vs. Silverline Endustri ve | Politeknik Metal vs. Koza Anadolu Metal | Politeknik Metal vs. MEGA METAL |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Other Complementary Tools
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |