Correlation Between Sixt Leasing and Grizzly Discoveries
Can any of the company-specific risk be diversified away by investing in both Sixt Leasing and Grizzly Discoveries 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 Sixt Leasing and Grizzly Discoveries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sixt Leasing SE and Grizzly Discoveries, you can compare the effects of market volatilities on Sixt Leasing and Grizzly Discoveries 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 Sixt Leasing with a short position of Grizzly Discoveries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sixt Leasing and Grizzly Discoveries.
Diversification Opportunities for Sixt Leasing and Grizzly Discoveries
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sixt and Grizzly is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Sixt Leasing SE and Grizzly Discoveries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grizzly Discoveries and Sixt Leasing 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 Sixt Leasing SE are associated (or correlated) with Grizzly Discoveries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grizzly Discoveries has no effect on the direction of Sixt Leasing i.e., Sixt Leasing and Grizzly Discoveries go up and down completely randomly.
Pair Corralation between Sixt Leasing and Grizzly Discoveries
Assuming the 90 days trading horizon Sixt Leasing SE is expected to under-perform the Grizzly Discoveries. But the stock apears to be less risky and, when comparing its historical volatility, Sixt Leasing SE is 51.42 times less risky than Grizzly Discoveries. The stock trades about -0.04 of its potential returns per unit of risk. The Grizzly Discoveries is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 4.10 in Grizzly Discoveries on September 12, 2024 and sell it today you would lose (3.90) from holding Grizzly Discoveries or give up 95.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sixt Leasing SE vs. Grizzly Discoveries
Performance |
Timeline |
Sixt Leasing SE |
Grizzly Discoveries |
Sixt Leasing and Grizzly Discoveries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sixt Leasing and Grizzly Discoveries
The main advantage of trading using opposite Sixt Leasing and Grizzly Discoveries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sixt Leasing position performs unexpectedly, Grizzly Discoveries 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 Grizzly Discoveries will offset losses from the drop in Grizzly Discoveries' long position.Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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