Harvest Equal Weight Etf Market Value
| HUTL Etf | CAD 18.10 0.07 0.39% |
| Symbol | Harvest |
Harvest Equal '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 Harvest Equal'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 Harvest Equal.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Harvest Equal on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Harvest Equal Weight or generate 0.0% return on investment in Harvest Equal over 30 days. Harvest Equal is related to or competes with Harvest Healthcare, CI Gold, BMO Global, First Asset, and CI Canada. The Harvest Equal Weight Global Utilities Income ETFs investment objectives are to provide Unitholders with monthly cash... More
Harvest Equal 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 Harvest Equal'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 Harvest Equal Weight upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6894 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.27 |
Harvest Equal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harvest Equal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harvest Equal's standard deviation. In reality, there are many statistical measures that can use Harvest Equal historical prices to predict the future Harvest Equal's volatility.| Risk Adjusted Performance | 0.1072 | |||
| Jensen Alpha | 0.1009 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (1.10) |
Harvest Equal Weight Backtested Returns
As of now, Harvest Etf is very steady. Harvest Equal Weight holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Harvest Equal Weight, which you can use to evaluate the volatility of the entity. Please check out Harvest Equal's Risk Adjusted Performance of 0.1072, downside deviation of 0.6894, and Market Risk Adjusted Performance of (1.09) to validate if the risk estimate we provide is consistent with the expected return of 0.0995%. The etf retains a Market Volatility (i.e., Beta) of -0.0844, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Harvest Equal are expected to decrease at a much lower rate. During the bear market, Harvest Equal is likely to outperform the market.
Auto-correlation | -0.82 |
Excellent reverse predictability
Harvest Equal Weight has excellent reverse predictability. Overlapping area represents the amount of predictability between Harvest Equal time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 Harvest Equal Weight price movement. The serial correlation of -0.82 indicates that around 82.0% of current Harvest Equal price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.94 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Harvest Equal Weight lagged returns against current returns
Autocorrelation, which is Harvest Equal 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 Harvest Equal's etf expected returns. We can calculate the autocorrelation of Harvest Equal returns to help us make a trade decision. For example, suppose you find that Harvest Equal 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 |
Harvest Equal 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 Harvest Equal etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harvest Equal etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harvest Equal etf over time.
Current vs Lagged Prices |
| Timeline |
Harvest Equal Lagged Returns
When evaluating Harvest Equal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harvest Equal etf have on its future price. Harvest Equal 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, Harvest Equal autocorrelation shows the relationship between Harvest Equal etf current value and its past values and can show if there is a momentum factor associated with investing in Harvest Equal Weight.
Regressed Prices |
| Timeline |
Pair Trading with Harvest Equal
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 Harvest Equal 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 Harvest Equal will appreciate offsetting losses from the drop in the long position's value.Moving together with Harvest Etf
Moving against Harvest Etf
| 0.61 | XHC | iShares Global Healthcare | PairCorr |
| 0.6 | ZUH | BMO Equal Weight | PairCorr |
| 0.52 | TCLB | TD Canadian Long | PairCorr |
| 0.51 | HHL | Harvest Healthcare | PairCorr |
The ability to find closely correlated positions to Harvest Equal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Harvest Equal 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 Harvest Equal - 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 Harvest Equal Weight to buy it.
The correlation of Harvest Equal 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 Harvest Equal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Harvest Equal Weight 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 Harvest Equal 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 Harvest Etf
Harvest Equal financial ratios help investors to determine whether Harvest 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 Harvest with respect to the benefits of owning Harvest Equal security.