Asia Pptys Correlations
| ASPZ Stock | USD 0.06 0.01 18.32% |
The current 90-days correlation between Asia Pptys and IRSA Inversiones Y is -0.02 (i.e., 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
Good diversification
The correlation between Asia Pptys and DJI is -0.04 (i.e., 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.
Asia |
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 against Asia Pink Sheet
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| 0.69 | BEKE | Ke Holdings | PairCorr |
| 0.64 | CF | CF Industries Holdings | PairCorr |
| 0.61 | SAP | SAP SE ADR Fiscal Year End 28th of January 2025 | PairCorr |
| 0.59 | CBRE | CBRE Group Class | PairCorr |
| 0.59 | WRFRF | Wharf Real Estate | PairCorr |
| 0.54 | ACLX | Arcellx | PairCorr |
| 0.5 | F | Ford Motor | PairCorr |
| 0.46 | T | ATT Inc Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.43 | BNTX | BioNTech SE | PairCorr |
| 0.37 | CLNXF | Cellnex Telecom SA | PairCorr |
| 0.72 | TWLO | Twilio Inc | PairCorr |
| 0.68 | HPQ | HP Inc Fiscal Year End 19th of November 2024 | PairCorr |
| 0.66 | DESP | Despegar Corp | PairCorr |
| 0.66 | BJRI | BJs Restaurants | PairCorr |
| 0.66 | PPC | Pilgrims Pride Corp | PairCorr |
| 0.63 | NFLX | Netflix Fiscal Year End 28th of January 2025 | PairCorr |
| 0.58 | MAG | MAG Silver Corp | PairCorr |
| 0.58 | EVRI | Everi Holdings | PairCorr |
| 0.58 | GILD | Gilead Sciences | PairCorr |
| 0.55 | SMR | Nuscale Power Corp | PairCorr |
| 0.54 | VKTX | Viking Therapeutics | PairCorr |
| 0.53 | RIO | Rio Tinto ADR | PairCorr |
| 0.51 | AHR | American Healthcare REIT, | PairCorr |
| 0.49 | CCK | Crown Holdings | PairCorr |
| 0.48 | CAAP | Corporacion America | PairCorr |
| 0.47 | EQIX | Equinix | 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
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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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| IRS | 2.19 | 0.50 | 0.23 | 0.41 | 1.92 | 4.84 | 16.78 | |||
| HOUS | 3.04 | (0.36) | 0.00 | (0.11) | 0.00 | 6.90 | 19.60 | |||
| NMRK | 1.52 | 0.21 | 0.11 | 0.18 | 1.80 | 4.28 | 10.07 | |||
| NYC | 2.40 | 0.00 | 0.00 | 0.04 | 2.96 | 6.59 | 14.68 | |||
| CBRE | 1.06 | 0.21 | 0.17 | 0.28 | 0.98 | 2.22 | 9.15 | |||
| FRPH | 1.08 | (0.08) | 0.00 | (0.02) | 0.00 | 2.18 | 7.50 | |||
| MMI | 1.40 | (0.09) | 0.00 | (0.02) | 0.00 | 3.52 | 9.67 | |||
| JLL | 1.38 | 0.10 | 0.08 | 0.12 | 1.39 | 4.09 | 7.06 | |||
| FSV | 0.81 | 0.08 | 0.07 | 0.17 | 0.74 | 1.96 | 3.49 | |||
| KW | 1.29 | 0.07 | 0.04 | 0.11 | 1.61 | 3.10 | 8.40 |
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