Correlation Between MEGA METAL and Tumosan
Can any of the company-specific risk be diversified away by investing in both MEGA METAL and Tumosan 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 MEGA METAL and Tumosan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MEGA METAL and Tumosan Motor ve, you can compare the effects of market volatilities on MEGA METAL and Tumosan 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 MEGA METAL with a short position of Tumosan. Check out your portfolio center. Please also check ongoing floating volatility patterns of MEGA METAL and Tumosan.
Diversification Opportunities for MEGA METAL and Tumosan
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MEGA and Tumosan is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding MEGA METAL and Tumosan Motor ve in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tumosan Motor ve and MEGA METAL 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 MEGA METAL are associated (or correlated) with Tumosan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tumosan Motor ve has no effect on the direction of MEGA METAL i.e., MEGA METAL and Tumosan go up and down completely randomly.
Pair Corralation between MEGA METAL and Tumosan
Assuming the 90 days trading horizon MEGA METAL is expected to generate 0.9 times more return on investment than Tumosan. However, MEGA METAL is 1.11 times less risky than Tumosan. It trades about -0.09 of its potential returns per unit of risk. Tumosan Motor ve is currently generating about -0.11 per unit of risk. If you would invest 3,238 in MEGA METAL on December 30, 2024 and sell it today you would lose (458.00) from holding MEGA METAL or give up 14.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MEGA METAL vs. Tumosan Motor ve
Performance |
Timeline |
MEGA METAL |
Tumosan Motor ve |
MEGA METAL and Tumosan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MEGA METAL and Tumosan
The main advantage of trading using opposite MEGA METAL and Tumosan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MEGA METAL position performs unexpectedly, Tumosan 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 Tumosan will offset losses from the drop in Tumosan's long position.The idea behind MEGA METAL and Tumosan Motor ve 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.Tumosan vs. Yapi ve Kredi | Tumosan vs. Turkiye Garanti Bankasi | Tumosan vs. Koc Holding AS | Tumosan vs. Turkiye Is Bankasi |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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