Correlation Between KOC METALURJI and Karsan Otomotiv
Can any of the company-specific risk be diversified away by investing in both KOC METALURJI and Karsan Otomotiv 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 KOC METALURJI and Karsan Otomotiv into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KOC METALURJI and Karsan Otomotiv Sanayi, you can compare the effects of market volatilities on KOC METALURJI and Karsan Otomotiv 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 KOC METALURJI with a short position of Karsan Otomotiv. Check out your portfolio center. Please also check ongoing floating volatility patterns of KOC METALURJI and Karsan Otomotiv.
Diversification Opportunities for KOC METALURJI and Karsan Otomotiv
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between KOC and Karsan is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding KOC METALURJI and Karsan Otomotiv Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Karsan Otomotiv Sanayi and KOC METALURJI 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 KOC METALURJI are associated (or correlated) with Karsan Otomotiv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Karsan Otomotiv Sanayi has no effect on the direction of KOC METALURJI i.e., KOC METALURJI and Karsan Otomotiv go up and down completely randomly.
Pair Corralation between KOC METALURJI and Karsan Otomotiv
Assuming the 90 days trading horizon KOC METALURJI is expected to under-perform the Karsan Otomotiv. In addition to that, KOC METALURJI is 1.22 times more volatile than Karsan Otomotiv Sanayi. It trades about -0.15 of its total potential returns per unit of risk. Karsan Otomotiv Sanayi is currently generating about -0.1 per unit of volatility. If you would invest 1,222 in Karsan Otomotiv Sanayi on December 23, 2024 and sell it today you would lose (202.00) from holding Karsan Otomotiv Sanayi or give up 16.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KOC METALURJI vs. Karsan Otomotiv Sanayi
Performance |
Timeline |
KOC METALURJI |
Karsan Otomotiv Sanayi |
KOC METALURJI and Karsan Otomotiv Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KOC METALURJI and Karsan Otomotiv
The main advantage of trading using opposite KOC METALURJI and Karsan Otomotiv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KOC METALURJI position performs unexpectedly, Karsan Otomotiv 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 Karsan Otomotiv will offset losses from the drop in Karsan Otomotiv's long position.KOC METALURJI vs. Creditwest Faktoring AS | KOC METALURJI vs. Cuhadaroglu Metal Sanayi | KOC METALURJI vs. MEGA METAL | KOC METALURJI vs. Akbank TAS |
Karsan Otomotiv vs. Bms Birlesik Metal | Karsan Otomotiv vs. KOC METALURJI | Karsan Otomotiv vs. Politeknik Metal Sanayi | Karsan Otomotiv vs. Akbank TAS |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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