Harvest Industrial Leaders Etf Market Value
| HIND Etf | 11.70 0.25 2.09% |
| Symbol | Harvest |
Harvest Industrial '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 Industrial'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 Industrial.
| 05/06/2025 |
| 08/04/2025 |
If you would invest 0.00 in Harvest Industrial on May 6, 2025 and sell it all today you would earn a total of 0.00 from holding Harvest Industrial Leaders or generate 0.0% return on investment in Harvest Industrial over 90 days. Harvest Industrial is related to or competes with IShares SPTSX, IShares Global, IShares Global, IShares SPTSX, and IShares Global. Harvest Industrial is entity of Canada. It is traded as Etf on TO exchange. More
Harvest Industrial 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 Industrial'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 Industrial Leaders upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7437 | |||
| Information Ratio | 0.0116 | |||
| Maximum Drawdown | 4.59 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.46 |
Harvest Industrial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harvest Industrial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harvest Industrial's standard deviation. In reality, there are many statistical measures that can use Harvest Industrial historical prices to predict the future Harvest Industrial's volatility.| Risk Adjusted Performance | 0.1076 | |||
| Jensen Alpha | 0.0839 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0143 | |||
| Treynor Ratio | 0.391 |
Harvest Industrial Backtested Returns
As of now, Harvest Etf is very steady. Harvest Industrial holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Harvest Industrial, which you can use to evaluate the volatility of the entity. Please check out Harvest Industrial's Risk Adjusted Performance of 0.1076, downside deviation of 0.7437, and Market Risk Adjusted Performance of 0.401 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The etf retains a Market Volatility (i.e., Beta) of 0.29, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Harvest Industrial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Harvest Industrial is expected to be smaller as well.
Auto-correlation | 0.37 |
Below average predictability
Harvest Industrial Leaders has below average predictability. Overlapping area represents the amount of predictability between Harvest Industrial time series from 6th of May 2025 to 20th of June 2025 and 20th of June 2025 to 4th of August 2025. 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 Industrial price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Harvest Industrial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Harvest Industrial lagged returns against current returns
Autocorrelation, which is Harvest Industrial 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 Industrial's etf expected returns. We can calculate the autocorrelation of Harvest Industrial returns to help us make a trade decision. For example, suppose you find that Harvest Industrial 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 Industrial 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 Industrial etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harvest Industrial etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harvest Industrial etf over time.
Current vs Lagged Prices |
| Timeline |
Harvest Industrial Lagged Returns
When evaluating Harvest Industrial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harvest Industrial etf have on its future price. Harvest Industrial 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 Industrial autocorrelation shows the relationship between Harvest Industrial etf current value and its past values and can show if there is a momentum factor associated with investing in Harvest Industrial Leaders.
Regressed Prices |
| Timeline |
Pair Trading with Harvest Industrial
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 Industrial 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 Industrial will appreciate offsetting losses from the drop in the long position's value.Moving together with Harvest Etf
| 0.66 | ZWU | BMO Covered Call | PairCorr |
| 0.91 | XIT | iShares SPTSX Capped | PairCorr |
| 0.78 | ZUT | BMO Equal Weight | PairCorr |
| 0.76 | HMMJ | Global X Marijuana | PairCorr |
| 0.87 | TXF | First Asset Tech | PairCorr |
The ability to find closely correlated positions to Harvest Industrial 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 Industrial 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 Industrial - 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 Industrial Leaders to buy it.
The correlation of Harvest Industrial 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 Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Harvest Industrial 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 Industrial 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 Industrial 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 Industrial security.