Ninepoint Bce Highshares Etf Market Value
| BCHI Etf | 9.32 0.03 0.32% |
| Symbol | Ninepoint |
Ninepoint BCE 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Ninepoint BCE's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Ninepoint BCE.
| 12/22/2025 |
| 01/21/2026 |
If you would invest 0.00 in Ninepoint BCE on December 22, 2025 and sell it all today you would earn a total of 0.00 from holding Ninepoint BCE HighShares or generate 0.0% return on investment in Ninepoint BCE over 30 days.
Ninepoint BCE Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Ninepoint BCE's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Ninepoint BCE HighShares upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.22 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 6.72 | |||
| Value At Risk | (1.93) | |||
| Potential Upside | 2.53 |
Ninepoint BCE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ninepoint BCE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ninepoint BCE's standard deviation. In reality, there are many statistical measures that can use Ninepoint BCE historical prices to predict the future Ninepoint BCE's volatility.| Risk Adjusted Performance | 0.0404 | |||
| Jensen Alpha | 0.0453 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.3587 |
Ninepoint BCE HighShares Backtested Returns
As of now, Ninepoint Etf is not too volatile. Ninepoint BCE HighShares has Sharpe Ratio of 0.0326, which conveys that the entity had a 0.0326 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ninepoint BCE, which you can use to evaluate the volatility of the etf. Please verify Ninepoint BCE's Risk Adjusted Performance of 0.0404, downside deviation of 1.22, and Mean Deviation of 1.03 to check out if the risk estimate we provide is consistent with the expected return of 0.0418%. The etf secures a Beta (Market Risk) of 0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Ninepoint BCE's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ninepoint BCE is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
Ninepoint BCE HighShares has very good predictability. Overlapping area represents the amount of predictability between Ninepoint BCE time series from 22nd of December 2025 to 6th of January 2026 and 6th of January 2026 to 21st of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ninepoint BCE HighShares price movement. The serial correlation of 0.83 indicates that around 83.0% of current Ninepoint BCE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Ninepoint BCE HighShares lagged returns against current returns
Autocorrelation, which is Ninepoint BCE etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Ninepoint BCE's etf expected returns. We can calculate the autocorrelation of Ninepoint BCE returns to help us make a trade decision. For example, suppose you find that Ninepoint BCE has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Ninepoint BCE regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Ninepoint BCE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ninepoint BCE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ninepoint BCE etf over time.
Current vs Lagged Prices |
| Timeline |
Ninepoint BCE Lagged Returns
When evaluating Ninepoint BCE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ninepoint BCE etf have on its future price. Ninepoint BCE autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Ninepoint BCE autocorrelation shows the relationship between Ninepoint BCE etf current value and its past values and can show if there is a momentum factor associated with investing in Ninepoint BCE HighShares.
Regressed Prices |
| Timeline |
Pair Trading with Ninepoint BCE
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 Ninepoint BCE 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 Ninepoint BCE will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Ninepoint BCE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ninepoint BCE 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 Ninepoint BCE - 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 Ninepoint BCE HighShares to buy it.
The correlation of Ninepoint BCE 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 Ninepoint BCE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ninepoint BCE HighShares 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 Ninepoint BCE 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.