Correlation Between SERI INDUSTRIAL and Mastercard
Can any of the company-specific risk be diversified away by investing in both SERI INDUSTRIAL and Mastercard 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 SERI INDUSTRIAL and Mastercard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SERI INDUSTRIAL EO and Mastercard, you can compare the effects of market volatilities on SERI INDUSTRIAL and Mastercard 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 SERI INDUSTRIAL with a short position of Mastercard. Check out your portfolio center. Please also check ongoing floating volatility patterns of SERI INDUSTRIAL and Mastercard.
Diversification Opportunities for SERI INDUSTRIAL and Mastercard
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SERI and Mastercard is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding SERI INDUSTRIAL EO and Mastercard in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mastercard and SERI INDUSTRIAL 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 SERI INDUSTRIAL EO are associated (or correlated) with Mastercard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mastercard has no effect on the direction of SERI INDUSTRIAL i.e., SERI INDUSTRIAL and Mastercard go up and down completely randomly.
Pair Corralation between SERI INDUSTRIAL and Mastercard
Assuming the 90 days trading horizon SERI INDUSTRIAL EO is expected to under-perform the Mastercard. In addition to that, SERI INDUSTRIAL is 3.36 times more volatile than Mastercard. It trades about -0.04 of its total potential returns per unit of risk. Mastercard is currently generating about 0.09 per unit of volatility. If you would invest 47,688 in Mastercard on October 21, 2024 and sell it today you would earn a total of 3,382 from holding Mastercard or generate 7.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SERI INDUSTRIAL EO vs. Mastercard
Performance |
Timeline |
SERI INDUSTRIAL EO |
Mastercard |
SERI INDUSTRIAL and Mastercard Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SERI INDUSTRIAL and Mastercard
The main advantage of trading using opposite SERI INDUSTRIAL and Mastercard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SERI INDUSTRIAL position performs unexpectedly, Mastercard 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 Mastercard will offset losses from the drop in Mastercard's long position.SERI INDUSTRIAL vs. Canon Marketing Japan | SERI INDUSTRIAL vs. Penn National Gaming | SERI INDUSTRIAL vs. International Game Technology | SERI INDUSTRIAL vs. TRADEDOUBLER AB SK |
Mastercard vs. Wayside Technology Group | Mastercard vs. KENEDIX OFFICE INV | Mastercard vs. NURAN WIRELESS INC | Mastercard vs. AECOM TECHNOLOGY |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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