Harvest Premium Yield Etf Market Value
| HPYT Etf | 10.42 0.05 0.48% |
| Symbol | Harvest |
Harvest Premium '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 Premium'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 Premium.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Harvest Premium on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Harvest Premium Yield or generate 0.0% return on investment in Harvest Premium over 30 days. Harvest Premium is related to or competes with Mackenzie Core, Mackenzie Floating, Mackenzie Unconstrained, Mackenzie Canadian, and Dynamic Active. Harvest Premium is entity of Canada. It is traded as Etf on TO exchange. More
Harvest Premium 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 Premium'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 Premium Yield upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 3.84 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.27 |
Harvest Premium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harvest Premium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harvest Premium's standard deviation. In reality, there are many statistical measures that can use Harvest Premium historical prices to predict the future Harvest Premium's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.48) |
Harvest Premium Yield Backtested Returns
Harvest Premium Yield holds Efficiency (Sharpe) Ratio of -0.0842, which attests that the entity had a -0.0842% return per unit of risk over the last 3 months. Harvest Premium Yield exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Harvest Premium's Standard Deviation of 0.7699, risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.47) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0685, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Harvest Premium's returns are expected to increase less than the market. However, during the bear market, the loss of holding Harvest Premium is expected to be smaller as well.
Auto-correlation | -0.46 |
Modest reverse predictability
Harvest Premium Yield has modest reverse predictability. Overlapping area represents the amount of predictability between Harvest Premium time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Harvest Premium Yield price movement. The serial correlation of -0.46 indicates that about 46.0% of current Harvest Premium price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Harvest Premium Yield lagged returns against current returns
Autocorrelation, which is Harvest Premium 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 Premium's etf expected returns. We can calculate the autocorrelation of Harvest Premium returns to help us make a trade decision. For example, suppose you find that Harvest Premium 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 Premium 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 Premium etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harvest Premium etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harvest Premium etf over time.
Current vs Lagged Prices |
| Timeline |
Harvest Premium Lagged Returns
When evaluating Harvest Premium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harvest Premium etf have on its future price. Harvest Premium 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 Premium autocorrelation shows the relationship between Harvest Premium etf current value and its past values and can show if there is a momentum factor associated with investing in Harvest Premium Yield.
Regressed Prices |
| Timeline |
Pair Trading with Harvest Premium
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 Premium 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 Premium will appreciate offsetting losses from the drop in the long position's value.Moving together with Harvest Etf
| 0.91 | FLGA | Franklin Global Aggregate | PairCorr |
| 0.97 | FGO | CI Enhanced Government | PairCorr |
| 0.85 | MGB | Mackenzie Core Plus | PairCorr |
Moving against Harvest Etf
| 0.83 | PMNT | PIMCO Global Short | PairCorr |
| 0.83 | TEC | TD Global Technology | PairCorr |
| 0.83 | ZNQ | BMO NASDAQ 100 | PairCorr |
| 0.82 | ENCC | Global X Canadian | PairCorr |
| 0.81 | HURA | Global X Uranium | PairCorr |
The ability to find closely correlated positions to Harvest Premium 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 Premium 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 Premium - 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 Premium Yield to buy it.
The correlation of Harvest Premium 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 Premium moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Harvest Premium Yield 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 Premium 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 Premium 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 Premium security.