Wheaton Historical Valuation
Pair Trading with Wheaton Precious
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Wheaton Precious position performs unexpectedly, the other equity 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 appreciate offsetting losses from the drop in the long position's value.Moving together with Wheaton Stock
0.62 | AG | First Majestic Silver | PairCorr |
0.94 | ORE | Orezone Gold Corp | PairCorr |
0.79 | FDY | Faraday Copper Corp | PairCorr |
Moving against Wheaton Stock
0.87 | MSFT | Microsoft Corp CDR | PairCorr |
0.79 | GOOG | Alphabet CDR | PairCorr |
0.68 | AMZN | Amazon CDR | PairCorr |
0.58 | AAPL | Apple Inc CDR | PairCorr |
0.52 | IE | Ivanhoe Energy | PairCorr |
The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Microsoft - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Microsoft to buy it.
The correlation of Microsoft is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Microsoft can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Tools for Wheaton Stock
When running Wheaton Precious' price analysis, check to measure Wheaton Precious' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Wheaton Precious is operating at the current time. Most of Wheaton Precious' value examination focuses on studying past and present price action to predict the probability of Wheaton Precious' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wheaton Precious' price. Additionally, you may evaluate how the addition of Wheaton Precious to your portfolios can decrease your overall portfolio volatility.
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