Mackenzie Balanced Allocation Etf Market Value
| MBAL Etf | CAD 25.86 0.04 0.15% |
| Symbol | Mackenzie |
Mackenzie 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 Mackenzie Balanced'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 Mackenzie Balanced.
| 12/27/2022 |
| 12/16/2024 |
If you would invest 0.00 in Mackenzie Balanced on December 27, 2022 and sell it all today you would earn a total of 0.00 from holding Mackenzie Balanced Allocation or generate 0.0% return on investment in Mackenzie Balanced over 720 days. Mackenzie Balanced is related to or competes with IShares ESG, IShares ESG, IShares ESG, BMO Balanced, and IShares ESG. MACKENZIE BALANCED is traded on Toronto Stock Exchange in Canada. More
Mackenzie 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 Mackenzie Balanced'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 Mackenzie Balanced Allocation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5189 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.52 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.9422 |
Mackenzie Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mackenzie Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mackenzie Balanced's standard deviation. In reality, there are many statistical measures that can use Mackenzie Balanced historical prices to predict the future Mackenzie Balanced's volatility.| Risk Adjusted Performance | 0.136 | |||
| Jensen Alpha | 0.0527 | |||
| Total Risk Alpha | 0.0223 | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.2741 |
Mackenzie Balanced Backtested Returns
As of now, Mackenzie Etf is very steady. Mackenzie Balanced has Sharpe Ratio of 0.18, which conveys that the entity had a 0.18% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Mackenzie Balanced, which you can use to evaluate the volatility of the etf. Please verify Mackenzie Balanced's Downside Deviation of 0.5189, mean deviation of 0.2891, and Risk Adjusted Performance of 0.136 to check out if the risk estimate we provide is consistent with the expected return of 0.0784%. The etf secures a Beta (Market Risk) of 0.29, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mackenzie Balanced's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mackenzie Balanced is expected to be smaller as well.
Auto-correlation | 0.69 |
Good predictability
Mackenzie Balanced Allocation has good predictability. Overlapping area represents the amount of predictability between Mackenzie Balanced time series from 27th of December 2022 to 22nd of December 2023 and 22nd of December 2023 to 16th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Mackenzie Balanced price movement. The serial correlation of 0.69 indicates that around 69.0% of current Mackenzie Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 1.36 |
Mackenzie Balanced lagged returns against current returns
Autocorrelation, which is Mackenzie Balanced 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 Mackenzie Balanced's etf expected returns. We can calculate the autocorrelation of Mackenzie Balanced returns to help us make a trade decision. For example, suppose you find that Mackenzie Balanced 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 |
Mackenzie 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 Mackenzie Balanced etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mackenzie Balanced etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mackenzie Balanced etf over time.
Current vs Lagged Prices |
| Timeline |
Mackenzie Balanced Lagged Returns
When evaluating Mackenzie Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mackenzie Balanced etf have on its future price. Mackenzie 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, Mackenzie Balanced autocorrelation shows the relationship between Mackenzie Balanced etf current value and its past values and can show if there is a momentum factor associated with investing in Mackenzie Balanced Allocation.
Regressed Prices |
| Timeline |
Pair Trading with Mackenzie 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 Mackenzie 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 Mackenzie Balanced will appreciate offsetting losses from the drop in the long position's value.Moving together with Mackenzie Etf
| 0.97 | VBAL | Vanguard Balanced | PairCorr |
| 0.93 | VCNS | Vanguard Conservative ETF | PairCorr |
| 0.97 | XBAL | iShares Core Balanced | PairCorr |
| 0.95 | ZMI | BMO Monthly Income | PairCorr |
| 0.95 | GBAL | iShares ESG Balanced | PairCorr |
The ability to find closely correlated positions to Mackenzie 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 Mackenzie 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 Mackenzie 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 Mackenzie Balanced Allocation to buy it.
The correlation of Mackenzie 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 Mackenzie Balanced moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mackenzie 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 Mackenzie 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.Other Information on Investing in Mackenzie Etf
Mackenzie Balanced financial ratios help investors to determine whether Mackenzie Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Mackenzie with respect to the benefits of owning Mackenzie Balanced security.