Correlation Between Applied Materials and TSOGO SUN
Can any of the company-specific risk be diversified away by investing in both Applied Materials and TSOGO SUN 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 Applied Materials and TSOGO SUN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and TSOGO SUN GAMING, you can compare the effects of market volatilities on Applied Materials and TSOGO SUN 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 Applied Materials with a short position of TSOGO SUN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and TSOGO SUN.
Diversification Opportunities for Applied Materials and TSOGO SUN
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Applied and TSOGO is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and TSOGO SUN GAMING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TSOGO SUN GAMING and Applied Materials 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 Applied Materials are associated (or correlated) with TSOGO SUN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TSOGO SUN GAMING has no effect on the direction of Applied Materials i.e., Applied Materials and TSOGO SUN go up and down completely randomly.
Pair Corralation between Applied Materials and TSOGO SUN
Assuming the 90 days horizon Applied Materials is expected to under-perform the TSOGO SUN. In addition to that, Applied Materials is 1.44 times more volatile than TSOGO SUN GAMING. It trades about -0.03 of its total potential returns per unit of risk. TSOGO SUN GAMING is currently generating about 0.04 per unit of volatility. If you would invest 50.00 in TSOGO SUN GAMING on September 5, 2024 and sell it today you would earn a total of 4.00 from holding TSOGO SUN GAMING or generate 8.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.22% |
Values | Daily Returns |
Applied Materials vs. TSOGO SUN GAMING
Performance |
Timeline |
Applied Materials |
TSOGO SUN GAMING |
Applied Materials and TSOGO SUN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and TSOGO SUN
The main advantage of trading using opposite Applied Materials and TSOGO SUN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, TSOGO SUN 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 TSOGO SUN will offset losses from the drop in TSOGO SUN's long position.Applied Materials vs. Boyd Gaming | Applied Materials vs. Motorcar Parts of | Applied Materials vs. Penn National Gaming | Applied Materials vs. TROPHY GAMES DEV |
TSOGO SUN vs. Air Lease | TSOGO SUN vs. GOODYEAR T RUBBER | TSOGO SUN vs. UNITED RENTALS | TSOGO SUN vs. Applied Materials |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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