Correlation Between Schweiter Technologies and MT Bank
Can any of the company-specific risk be diversified away by investing in both Schweiter Technologies and MT Bank 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 Schweiter Technologies and MT Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Schweiter Technologies AG and MT Bank Corp, you can compare the effects of market volatilities on Schweiter Technologies and MT Bank 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 Schweiter Technologies with a short position of MT Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schweiter Technologies and MT Bank.
Diversification Opportunities for Schweiter Technologies and MT Bank
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Schweiter and 0JW2 is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Schweiter Technologies AG and MT Bank Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MT Bank Corp and Schweiter Technologies 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 Schweiter Technologies AG are associated (or correlated) with MT Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MT Bank Corp has no effect on the direction of Schweiter Technologies i.e., Schweiter Technologies and MT Bank go up and down completely randomly.
Pair Corralation between Schweiter Technologies and MT Bank
Assuming the 90 days trading horizon Schweiter Technologies AG is expected to generate 1.28 times more return on investment than MT Bank. However, Schweiter Technologies is 1.28 times more volatile than MT Bank Corp. It trades about 0.08 of its potential returns per unit of risk. MT Bank Corp is currently generating about -0.16 per unit of risk. If you would invest 40,800 in Schweiter Technologies AG on December 4, 2024 and sell it today you would earn a total of 3,725 from holding Schweiter Technologies AG or generate 9.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.16% |
Values | Daily Returns |
Schweiter Technologies AG vs. MT Bank Corp
Performance |
Timeline |
Schweiter Technologies |
MT Bank Corp |
Schweiter Technologies and MT Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schweiter Technologies and MT Bank
The main advantage of trading using opposite Schweiter Technologies and MT Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schweiter Technologies position performs unexpectedly, MT Bank 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 MT Bank will offset losses from the drop in MT Bank's long position.Schweiter Technologies vs. Future Metals NL | Schweiter Technologies vs. AMG Advanced Metallurgical | Schweiter Technologies vs. Sovereign Metals | Schweiter Technologies vs. Fulcrum Metals PLC |
MT Bank vs. Wheaton Precious Metals | MT Bank vs. Naked Wines plc | MT Bank vs. National Beverage Corp | MT Bank vs. Adriatic Metals |
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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