Ninepoint Balanced Fund Market Value
| NBAL Fund | 22.00 0.18 0.82% |
| Symbol | Ninepoint |
Ninepoint Balanced '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 Balanced's fund 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 Balanced.
| 11/14/2025 |
| 01/13/2026 |
If you would invest 0.00 in Ninepoint Balanced on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Ninepoint Balanced or generate 0.0% return on investment in Ninepoint Balanced over 60 days.
Ninepoint Balanced 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 Balanced's fund 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 Balanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5912 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.68 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 1.08 |
Ninepoint Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ninepoint Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ninepoint Balanced's standard deviation. In reality, there are many statistical measures that can use Ninepoint Balanced historical prices to predict the future Ninepoint Balanced's volatility.| Risk Adjusted Performance | 0.0824 | |||
| Jensen Alpha | 0.0584 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (2.94) |
Ninepoint Balanced Backtested Returns
As of now, Ninepoint Fund is very steady. Ninepoint Balanced has Sharpe Ratio of 0.0851, which conveys that the entity had a 0.0851 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Ninepoint Balanced, which you can use to evaluate the volatility of the fund. Please verify Ninepoint Balanced's Downside Deviation of 0.5912, risk adjusted performance of 0.0824, and Mean Deviation of 0.4233 to check out if the risk estimate we provide is consistent with the expected return of 0.0444%. The fund secures a Beta (Market Risk) of -0.0193, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Ninepoint Balanced are expected to decrease at a much lower rate. During the bear market, Ninepoint Balanced is likely to outperform the market.
Auto-correlation | 0.69 |
Good predictability
Ninepoint Balanced has good predictability. Overlapping area represents the amount of predictability between Ninepoint Balanced time series from 14th of November 2025 to 14th of December 2025 and 14th of December 2025 to 13th 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 Balanced price movement. The serial correlation of 0.69 indicates that around 69.0% of current Ninepoint Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Ninepoint Balanced lagged returns against current returns
Autocorrelation, which is Ninepoint Balanced fund'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 Balanced's fund expected returns. We can calculate the autocorrelation of Ninepoint Balanced returns to help us make a trade decision. For example, suppose you find that Ninepoint Balanced has exhibited high autocorrelation historically, and you observe that the fund 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 Balanced 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 Balanced fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ninepoint Balanced fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ninepoint Balanced fund over time.
Current vs Lagged Prices |
| Timeline |
Ninepoint Balanced Lagged Returns
When evaluating Ninepoint Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ninepoint Balanced fund have on its future price. Ninepoint Balanced 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 Balanced autocorrelation shows the relationship between Ninepoint Balanced fund current value and its past values and can show if there is a momentum factor associated with investing in Ninepoint Balanced.
Regressed Prices |
| Timeline |
Pair Trading with Ninepoint Balanced
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 Balanced 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 Balanced will appreciate offsetting losses from the drop in the long position's value.Moving together with Ninepoint Fund
| 0.66 | 0P0000S9O7 | PIMCO Monthly Income | PairCorr |
| 0.65 | 0P0000S9O5 | PIMCO Monthly Income | PairCorr |
| 0.86 | 0P000072KJ | RBC Canadian Dividend | PairCorr |
| 0.64 | 0P00007069 | RBC Portefeuille | PairCorr |
The ability to find closely correlated positions to Ninepoint Balanced 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 Balanced 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 Balanced - 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 Balanced to buy it.
The correlation of Ninepoint Balanced 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 Balanced moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ninepoint Balanced 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 Balanced 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.| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
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