Correlation Between Treasury Wine and APPLIED MATERIALS
Can any of the company-specific risk be diversified away by investing in both Treasury Wine and APPLIED MATERIALS 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 Treasury Wine and APPLIED MATERIALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Treasury Wine Estates and APPLIED MATERIALS, you can compare the effects of market volatilities on Treasury Wine and APPLIED MATERIALS 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 Treasury Wine with a short position of APPLIED MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Treasury Wine and APPLIED MATERIALS.
Diversification Opportunities for Treasury Wine and APPLIED MATERIALS
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Treasury and APPLIED is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Treasury Wine Estates and APPLIED MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APPLIED MATERIALS and Treasury Wine 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 Treasury Wine Estates are associated (or correlated) with APPLIED MATERIALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of APPLIED MATERIALS has no effect on the direction of Treasury Wine i.e., Treasury Wine and APPLIED MATERIALS go up and down completely randomly.
Pair Corralation between Treasury Wine and APPLIED MATERIALS
Assuming the 90 days horizon Treasury Wine Estates is expected to under-perform the APPLIED MATERIALS. But the stock apears to be less risky and, when comparing its historical volatility, Treasury Wine Estates is 1.54 times less risky than APPLIED MATERIALS. The stock trades about -0.06 of its potential returns per unit of risk. The APPLIED MATERIALS is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 13,099 in APPLIED MATERIALS on April 24, 2025 and sell it today you would earn a total of 2,823 from holding APPLIED MATERIALS or generate 21.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Treasury Wine Estates vs. APPLIED MATERIALS
Performance |
Timeline |
Treasury Wine Estates |
APPLIED MATERIALS |
Treasury Wine and APPLIED MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Treasury Wine and APPLIED MATERIALS
The main advantage of trading using opposite Treasury Wine and APPLIED MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Treasury Wine position performs unexpectedly, APPLIED MATERIALS 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 APPLIED MATERIALS will offset losses from the drop in APPLIED MATERIALS's long position.Treasury Wine vs. Carsales | Treasury Wine vs. Astral Foods Limited | Treasury Wine vs. China Foods Limited | Treasury Wine vs. Geely Automobile Holdings |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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