Correlation Between METTLER TOLEDO and Carmat SA
Can any of the company-specific risk be diversified away by investing in both METTLER TOLEDO and Carmat SA 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 METTLER TOLEDO and Carmat SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between METTLER TOLEDO INTL and Carmat SA, you can compare the effects of market volatilities on METTLER TOLEDO and Carmat SA 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 METTLER TOLEDO with a short position of Carmat SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of METTLER TOLEDO and Carmat SA.
Diversification Opportunities for METTLER TOLEDO and Carmat SA
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between METTLER and Carmat is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding METTLER TOLEDO INTL and Carmat SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carmat SA and METTLER TOLEDO 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 METTLER TOLEDO INTL are associated (or correlated) with Carmat SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carmat SA has no effect on the direction of METTLER TOLEDO i.e., METTLER TOLEDO and Carmat SA go up and down completely randomly.
Pair Corralation between METTLER TOLEDO and Carmat SA
Assuming the 90 days trading horizon METTLER TOLEDO INTL is expected to generate 0.26 times more return on investment than Carmat SA. However, METTLER TOLEDO INTL is 3.84 times less risky than Carmat SA. It trades about 0.21 of its potential returns per unit of risk. Carmat SA is currently generating about -0.11 per unit of risk. If you would invest 110,000 in METTLER TOLEDO INTL on September 22, 2024 and sell it today you would earn a total of 6,200 from holding METTLER TOLEDO INTL or generate 5.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
METTLER TOLEDO INTL vs. Carmat SA
Performance |
Timeline |
METTLER TOLEDO INTL |
Carmat SA |
METTLER TOLEDO and Carmat SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with METTLER TOLEDO and Carmat SA
The main advantage of trading using opposite METTLER TOLEDO and Carmat SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if METTLER TOLEDO position performs unexpectedly, Carmat SA 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 Carmat SA will offset losses from the drop in Carmat SA's long position.METTLER TOLEDO vs. EAT WELL INVESTMENT | METTLER TOLEDO vs. Thai Beverage Public | METTLER TOLEDO vs. Chuangs China Investments | METTLER TOLEDO vs. Apollo Investment Corp |
Carmat SA vs. ESSILORLUXOTTICA 12ON | Carmat SA vs. Intuitive Surgical | Carmat SA vs. EssilorLuxottica Socit anonyme | Carmat SA vs. HOYA Corporation |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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