NYSE Composite Correlations
| NYA Index | 19,749 30.88 0.16% |
The current 90-days correlation between NYSE Composite and Akanda Corp is 0.3 (i.e., Weak diversification). The correlation of NYSE Composite 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.
The ability to find closely correlated positions to NYSE Composite could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NYSE Composite 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 NYSE Composite - 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 NYSE Composite to buy it.
Moving together with NYSE Index
| 0.76 | NVDA | NVIDIA | PairCorr |
| 0.69 | GOOG | Alphabet Class C | PairCorr |
| 0.74 | AMZN | Amazon Inc | PairCorr |
| 0.83 | META | Meta Platforms | PairCorr |
| 0.85 | PX | P10 Inc Buyout Trend | PairCorr |
| 0.73 | MRVL | Marvell Technology Earnings Call This Week | PairCorr |
| 0.69 | NFLX | Netflix Fiscal Year End 28th of January 2025 | PairCorr |
| 0.7 | KULR | KULR Technology Group | PairCorr |
| 0.81 | GVA | Granite Construction | PairCorr |
| 0.71 | FTNT | Fortinet | PairCorr |
| 0.73 | AXON | Axon Enterprise | PairCorr |
| 0.69 | GOOGL | Alphabet Class A | PairCorr |
| 0.95 | PPA | Invesco Aerospace Defense | PairCorr |
| 0.95 | SPY | SPDR SP 500 | PairCorr |
| 0.74 | CCD | Calamos Dynamic Conv | 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 NYSE Index performing well and NYSE Composite Index 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 NYSE Composite's 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| AKAN | 3.43 | (1.13) | 0.00 | (0.62) | 0.00 | 4.55 | 22.55 | |||
| VALN | 1.95 | (0.88) | 0.00 | (5.94) | 0.00 | 3.20 | 12.07 | |||
| RDCM | 2.24 | 0.27 | 0.06 | 1.23 | 3.12 | 5.40 | 19.90 | |||
| WDC | 1.59 | (0.12) | (0.04) | 0.00 | 1.91 | 4.06 | 11.83 | |||
| JYNT | 2.12 | (0.12) | (0.02) | 0.02 | 2.32 | 5.29 | 15.39 | |||
| KLTR | 3.14 | 0.53 | 0.18 | 0.20 | 3.48 | 7.56 | 25.21 | |||
| PSFE | 2.01 | (0.41) | 0.00 | (0.15) | 0.00 | 5.19 | 31.72 |
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NYSE Composite Distribution of Returns
Predicted Return Density |
| Returns |
