Asia Pptys Correlations
| ASPZ Stock | USD 0.05 0.00 0.00% |
The current 90-days correlation between Asia Pptys and CBRE Group Class is -0.35 (i.e., Very good diversification). The correlation of Asia Pptys 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Asia Pptys Correlation With Market
Very good diversification
The correlation between Asia Pptys and DJI is -0.24 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Asia Pptys and DJI in the same portfolio, assuming nothing else is changed.
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The ability to find closely correlated positions to Asia Pptys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Asia Pptys 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 Asia Pptys - 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 Asia Pptys to buy it.
Moving together with Asia Pink Sheet
| 0.62 | CLLNY | Cellnex Telecom SA | PairCorr |
| 0.67 | VONOY | Vonovia SE ADR | PairCorr |
| 0.76 | MRK | Merck Company Fiscal Year End 6th of February 2025 | PairCorr |
| 0.67 | JNJ | Johnson Johnson Sell-off Trend | PairCorr |
| 0.67 | KO | Coca Cola Aggressive Push | PairCorr |
Moving against Asia Pink Sheet
| 0.72 | BEKE | Ke Holdings | PairCorr |
| 0.67 | MSB | Mesabi Trust | PairCorr |
| 0.65 | CBRE | CBRE Group Class | PairCorr |
| 0.63 | MET | MetLife Sell-off Trend | PairCorr |
| 0.62 | JXN-PA | Jackson Financial | PairCorr |
| 0.58 | FTNT | Fortinet | PairCorr |
| 0.56 | NTNX | Nutanix | PairCorr |
| 0.5 | T | ATT Inc Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.46 | ESLAW | Estrella Immunopharma | PairCorr |
| 0.71 | CAT | Caterpillar Fiscal Year End 3rd of February 2025 | PairCorr |
| 0.7 | XOM | Exxon Mobil Corp Fiscal Year End 7th of February 2025 | PairCorr |
| 0.67 | INTC | Intel Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.65 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
| 0.64 | JPM | JPMorgan Chase Sell-off Trend | PairCorr |
| 0.63 | BAC | Bank of America Aggressive Push | PairCorr |
| 0.62 | HD | Home Depot | PairCorr |
| 0.55 | DIS | Walt Disney Sell-off Trend | PairCorr |
| 0.47 | TRV | The Travelers Companies Fiscal Year End 17th of January 2025 | PairCorr |
Related Correlations Analysis
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Asia Pink Sheet performing well and Asia Pptys Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Asia Pptys' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| CBRE | 1.16 | 0.29 | 0.14 | 2.58 | 1.00 | 2.42 | 12.38 | |||
| CSGP | 1.47 | (0.01) | (0.01) | 0.12 | 1.97 | 2.95 | 8.44 | |||
| CLNXF | 0.63 | (0.25) | 0.00 | (0.68) | 0.00 | 0.79 | 6.92 | |||
| CLLNY | 1.22 | (0.14) | 0.00 | (4.14) | 0.00 | 2.00 | 7.02 | |||
| BEKE | 3.50 | 0.51 | 0.11 | 1.06 | 3.69 | 8.40 | 31.65 | |||
| VONOY | 1.24 | (0.06) | 0.00 | (6.03) | 0.00 | 2.56 | 6.17 | |||
| VNNVF | 1.52 | 0.09 | 0.00 | 0.01 | 0.00 | 4.91 | 18.00 | |||
| VTAGY | 0.13 | 0.05 | 0.00 | 1.71 | 0.00 | 0.00 | 0.00 | |||
| VTWRF | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| WRFRF | 1.83 | 0.22 | 0.01 | (0.37) | 2.55 | 9.94 | 24.51 |
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