Hamilton Healthcare Yield Etf Market Value
| LMAX Etf | 14.38 0.03 0.21% |
| Symbol | Hamilton |
Hamilton Healthcare '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 Hamilton Healthcare'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 Hamilton Healthcare.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Hamilton Healthcare on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Hamilton Healthcare YIELD or generate 0.0% return on investment in Hamilton Healthcare over 30 days. Hamilton Healthcare is related to or competes with Hamilton Financials, Guardian Directed, RBC Quant, IShares India, Evolve Canadian, Purpose Premium, and Purpose Enhanced. Hamilton Healthcare is entity of Canada. It is traded as Etf on TO exchange. More
Hamilton Healthcare 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 Hamilton Healthcare'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 Hamilton Healthcare YIELD upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9484 | |||
| Information Ratio | 0.0728 | |||
| Maximum Drawdown | 4.34 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.84 |
Hamilton Healthcare Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hamilton Healthcare's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hamilton Healthcare's standard deviation. In reality, there are many statistical measures that can use Hamilton Healthcare historical prices to predict the future Hamilton Healthcare's volatility.| Risk Adjusted Performance | 0.1177 | |||
| Jensen Alpha | 0.108 | |||
| Total Risk Alpha | 0.0466 | |||
| Sortino Ratio | 0.0672 | |||
| Treynor Ratio | 0.3627 |
Hamilton Healthcare YIELD Backtested Returns
As of now, Hamilton Etf is very steady. Hamilton Healthcare YIELD holds Efficiency (Sharpe) Ratio of 0.17, which attests that the entity had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Hamilton Healthcare YIELD, which you can use to evaluate the volatility of the entity. Please check out Hamilton Healthcare's Risk Adjusted Performance of 0.1177, market risk adjusted performance of 0.3727, and Downside Deviation of 0.9484 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. The etf retains a Market Volatility (i.e., Beta) of 0.37, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hamilton Healthcare's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hamilton Healthcare is expected to be smaller as well.
Auto-correlation | -0.55 |
Good reverse predictability
Hamilton Healthcare YIELD has good reverse predictability. Overlapping area represents the amount of predictability between Hamilton Healthcare time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 Hamilton Healthcare YIELD price movement. The serial correlation of -0.55 indicates that about 55.0% of current Hamilton Healthcare price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Hamilton Healthcare YIELD lagged returns against current returns
Autocorrelation, which is Hamilton Healthcare 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 Hamilton Healthcare's etf expected returns. We can calculate the autocorrelation of Hamilton Healthcare returns to help us make a trade decision. For example, suppose you find that Hamilton Healthcare 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 |
Hamilton Healthcare 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 Hamilton Healthcare etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hamilton Healthcare etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hamilton Healthcare etf over time.
Current vs Lagged Prices |
| Timeline |
Hamilton Healthcare Lagged Returns
When evaluating Hamilton Healthcare's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hamilton Healthcare etf have on its future price. Hamilton Healthcare 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, Hamilton Healthcare autocorrelation shows the relationship between Hamilton Healthcare etf current value and its past values and can show if there is a momentum factor associated with investing in Hamilton Healthcare YIELD.
Regressed Prices |
| Timeline |
Pair Trading with Hamilton Healthcare
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 Hamilton Healthcare 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 Hamilton Healthcare will appreciate offsetting losses from the drop in the long position's value.Moving together with Hamilton Etf
| 0.9 | ZUH | BMO Equal Weight | PairCorr |
| 0.95 | XHC | iShares Global Healthcare | PairCorr |
| 0.95 | HHL | Harvest Healthcare | PairCorr |
| 0.93 | FHI | CI Health Care | PairCorr |
| 0.95 | LS | Middlefield Healthcare | PairCorr |
The ability to find closely correlated positions to Hamilton Healthcare could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hamilton Healthcare 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 Hamilton Healthcare - 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 Hamilton Healthcare YIELD to buy it.
The correlation of Hamilton Healthcare 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 Hamilton Healthcare moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hamilton Healthcare 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 Hamilton Healthcare 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 Hamilton Etf
Hamilton Healthcare financial ratios help investors to determine whether Hamilton 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 Hamilton with respect to the benefits of owning Hamilton Healthcare security.