Correlation Between POSCO Holdings and Wheaton Precious
Can any of the company-specific risk be diversified away by investing in both POSCO Holdings and Wheaton Precious 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 POSCO Holdings and Wheaton Precious into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between POSCO Holdings and Wheaton Precious Metals, you can compare the effects of market volatilities on POSCO Holdings and Wheaton Precious 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 POSCO Holdings with a short position of Wheaton Precious. Check out your portfolio center. Please also check ongoing floating volatility patterns of POSCO Holdings and Wheaton Precious.
Diversification Opportunities for POSCO Holdings and Wheaton Precious
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between POSCO and Wheaton is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding POSCO Holdings and Wheaton Precious Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wheaton Precious Metals and POSCO Holdings 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 POSCO Holdings are associated (or correlated) with Wheaton Precious. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wheaton Precious Metals has no effect on the direction of POSCO Holdings i.e., POSCO Holdings and Wheaton Precious go up and down completely randomly.
Pair Corralation between POSCO Holdings and Wheaton Precious
Considering the 90-day investment horizon POSCO Holdings is expected to under-perform the Wheaton Precious. But the stock apears to be less risky and, when comparing its historical volatility, POSCO Holdings is 1.14 times less risky than Wheaton Precious. The stock trades about -0.46 of its potential returns per unit of risk. The Wheaton Precious Metals is currently generating about -0.24 of returns per unit of risk over similar time horizon. If you would invest 6,381 in Wheaton Precious Metals on September 23, 2024 and sell it today you would lose (670.00) from holding Wheaton Precious Metals or give up 10.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
POSCO Holdings vs. Wheaton Precious Metals
Performance |
Timeline |
POSCO Holdings |
Wheaton Precious Metals |
POSCO Holdings and Wheaton Precious Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with POSCO Holdings and Wheaton Precious
The main advantage of trading using opposite POSCO Holdings and Wheaton Precious positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if POSCO Holdings position performs unexpectedly, Wheaton Precious 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 Wheaton Precious will offset losses from the drop in Wheaton Precious' long position.POSCO Holdings vs. Wheaton Precious Metals | POSCO Holdings vs. Royal Gold | POSCO Holdings vs. Agnico Eagle Mines | POSCO Holdings vs. Sandstorm Gold Ltd |
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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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