NBI SmartData Correlations
| NSDI Fund | 10.58 0.02 0.19% |
The current 90-days correlation between NBI SmartData Intern and 0P000075GQ is 0.14 (i.e., Average diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as NBI SmartData moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NBI SmartData International moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
NBI SmartData Correlation With Market
Modest diversification
The correlation between NBI SmartData International and DJI is 0.22 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding NBI SmartData International and DJI in the same portfolio, assuming nothing else is changed.
NBI |
The ability to find closely correlated positions to NBI SmartData could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NBI SmartData 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 NBI SmartData - 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 NBI SmartData International to buy it.
Moving together with NBI Fund
| 0.77 | 0P0000706A | RBC Select Balanced | PairCorr |
| 0.79 | 0P0000S9O5 | PIMCO Monthly Income | PairCorr |
| 0.8 | 0P0000S9O7 | PIMCO Monthly Income | PairCorr |
| 0.72 | 0P000072KJ | RBC Canadian Dividend | PairCorr |
| 0.78 | 0P00007069 | RBC Portefeuille | PairCorr |
| 0.8 | 0P0000WJMR | IG Mackenzie Dividend | PairCorr |
| 0.74 | 0P0000IUYO | Edgepoint Global Por | PairCorr |
Related Correlations Analysis
| -0.14 | 0.34 | 0.23 | 0.0 | 0.48 | 0.36 | 0.54 | 0.16 | 0P000075GQ | ||
| -0.14 | 0.49 | 0.65 | 0.48 | 0.4 | 0.53 | 0.13 | -0.51 | 0P0000820A | ||
| 0.34 | 0.49 | 0.5 | 0.4 | 0.68 | 0.92 | 0.63 | -0.05 | 0P000075VF | ||
| 0.23 | 0.65 | 0.5 | 0.62 | 0.42 | 0.59 | 0.08 | -0.64 | 0P0001AF4R | ||
| 0.0 | 0.48 | 0.4 | 0.62 | 0.37 | 0.57 | -0.15 | -0.57 | CIG18006 | ||
| 0.48 | 0.4 | 0.68 | 0.42 | 0.37 | 0.65 | 0.52 | 0.0 | 0P000071W8 | ||
| 0.36 | 0.53 | 0.92 | 0.59 | 0.57 | 0.65 | 0.5 | -0.12 | 0P000077R7 | ||
| 0.54 | 0.13 | 0.63 | 0.08 | -0.15 | 0.52 | 0.5 | 0.35 | NSDI | ||
| 0.16 | -0.51 | -0.05 | -0.64 | -0.57 | 0.0 | -0.12 | 0.35 | SSF-UN | ||
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
|
Risk-Adjusted Indicators
There is a big difference between NBI Fund performing well and NBI SmartData Fund 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 NBI SmartData'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| 0P000075GQ | 0.03 | 0.00 | 0.00 | 0.18 | 0.00 | 0.11 | 0.33 | |||
| 0P0000820A | 0.64 | (0.02) | (0.03) | 0.02 | 1.14 | 1.05 | 4.83 | |||
| 0P000075VF | 0.60 | 0.03 | (0.02) | 0.42 | 0.79 | 1.20 | 3.64 | |||
| 0P0001AF4R | 0.55 | 0.02 | (0.03) | 0.11 | 0.66 | 0.91 | 4.28 | |||
| CIG18006 | 1.02 | (0.05) | 0.00 | (0.05) | 0.00 | 1.94 | 5.90 | |||
| 0P000071W8 | 0.57 | (0.01) | (0.04) | 0.03 | 0.85 | 1.22 | 3.49 | |||
| 0P000077R7 | 0.57 | 0.03 | (0.02) | 0.44 | 0.85 | 1.22 | 3.59 | |||
| NSDI | 0.74 | 0.06 | 0.02 | 0.22 | 0.85 | 1.83 | 5.06 | |||
| SSF-UN | 0.36 | 0.02 | (0.03) | 0.32 | 0.44 | 0.93 | 3.60 |
NBI SmartData Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with NBI SmartData fund to make a market-neutral strategy. Peer analysis of NBI SmartData could also be used in its relative valuation, which is a method of valuing NBI SmartData by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |