Correlation Between Penguen Gida and Is Finansal
Can any of the company-specific risk be diversified away by investing in both Penguen Gida and Is 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 Penguen Gida and Is Finansal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penguen Gida Sanayi and Is Finansal Kiralama, you can compare the effects of market volatilities on Penguen Gida and Is 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 Penguen Gida with a short position of Is Finansal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penguen Gida and Is Finansal.
Diversification Opportunities for Penguen Gida and Is Finansal
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Penguen and ISFIN is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Penguen Gida Sanayi and Is Finansal Kiralama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Is Finansal Kiralama and Penguen Gida 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 Penguen Gida Sanayi are associated (or correlated) with Is Finansal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Is Finansal Kiralama has no effect on the direction of Penguen Gida i.e., Penguen Gida and Is Finansal go up and down completely randomly.
Pair Corralation between Penguen Gida and Is Finansal
Assuming the 90 days trading horizon Penguen Gida is expected to generate 6.05 times less return on investment than Is Finansal. But when comparing it to its historical volatility, Penguen Gida Sanayi is 1.16 times less risky than Is Finansal. It trades about 0.06 of its potential returns per unit of risk. Is Finansal Kiralama is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 1,103 in Is Finansal Kiralama on September 22, 2024 and sell it today you would earn a total of 152.00 from holding Is Finansal Kiralama or generate 13.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Penguen Gida Sanayi vs. Is Finansal Kiralama
Performance |
Timeline |
Penguen Gida Sanayi |
Is Finansal Kiralama |
Penguen Gida and Is Finansal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penguen Gida and Is Finansal
The main advantage of trading using opposite Penguen Gida and Is Finansal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penguen Gida position performs unexpectedly, Is 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 Is Finansal will offset losses from the drop in Is Finansal's long position.Penguen Gida vs. Trabzon Liman Isletmeciligi | Penguen Gida vs. Bayrak EBT Taban | Penguen Gida vs. Alkim Kagit Sanayi | Penguen Gida vs. Federal Mogul Izmit |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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