Tech Leaders Income Etf Market Value
| TLF Etf | CAD 25.03 0.37 1.46% |
| Symbol | Tech |
Tech Leaders '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 Tech Leaders' 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 Tech Leaders.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in Tech Leaders on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding Tech Leaders Income or generate 0.0% return on investment in Tech Leaders over 30 days. Tech Leaders is related to or competes with Global Healthcare, Harvest Tech, Brompton Global, Harvest Brand, and Brompton North. The investment objectives of TLF are to provide holders of Units of TLF with stable monthly cash distributions the oppor... More
Tech Leaders 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 Tech Leaders' 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 Tech Leaders Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.35 | |||
| Information Ratio | 0.0276 | |||
| Maximum Drawdown | 6.42 | |||
| Value At Risk | (1.46) | |||
| Potential Upside | 1.68 |
Tech Leaders Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tech Leaders' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tech Leaders' standard deviation. In reality, there are many statistical measures that can use Tech Leaders historical prices to predict the future Tech Leaders' volatility.| Risk Adjusted Performance | 0.0318 | |||
| Jensen Alpha | 0.0311 | |||
| Total Risk Alpha | 0.0316 | |||
| Sortino Ratio | 0.0233 | |||
| Treynor Ratio | 0.058 |
Tech Leaders Income Backtested Returns
As of now, Tech Etf is very steady. Tech Leaders Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0359, which indicates the etf had a 0.0359% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Tech Leaders Income, which you can use to evaluate the volatility of the etf. Please validate Tech Leaders' Risk Adjusted Performance of 0.0318, coefficient of variation of 2782.36, and Semi Deviation of 1.22 to confirm if the risk estimate we provide is consistent with the expected return of 0.0408%. The entity has a beta of 0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tech Leaders' returns are expected to increase less than the market. However, during the bear market, the loss of holding Tech Leaders is expected to be smaller as well.
Auto-correlation | 0.04 |
Virtually no predictability
Tech Leaders Income has virtually no predictability. Overlapping area represents the amount of predictability between Tech Leaders time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 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 Tech Leaders Income price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Tech Leaders price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Tech Leaders Income lagged returns against current returns
Autocorrelation, which is Tech Leaders 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 Tech Leaders' etf expected returns. We can calculate the autocorrelation of Tech Leaders returns to help us make a trade decision. For example, suppose you find that Tech Leaders 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 |
Tech Leaders 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 Tech Leaders etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tech Leaders etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tech Leaders etf over time.
Current vs Lagged Prices |
| Timeline |
Tech Leaders Lagged Returns
When evaluating Tech Leaders' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tech Leaders etf have on its future price. Tech Leaders 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, Tech Leaders autocorrelation shows the relationship between Tech Leaders etf current value and its past values and can show if there is a momentum factor associated with investing in Tech Leaders Income.
Regressed Prices |
| Timeline |
Pair Trading with Tech Leaders
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 Tech Leaders 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 Tech Leaders will appreciate offsetting losses from the drop in the long position's value.Moving together with Tech Etf
Moving against Tech Etf
| 0.46 | HHL | Harvest Healthcare | PairCorr |
| 0.44 | XHC | iShares Global Healthcare | PairCorr |
| 0.33 | HMMJ | Global X Marijuana | PairCorr |
| 0.31 | ZUH | BMO Equal Weight | PairCorr |
The ability to find closely correlated positions to Tech Leaders could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tech Leaders 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 Tech Leaders - 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 Tech Leaders Income to buy it.
The correlation of Tech Leaders 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 Tech Leaders moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tech Leaders Income 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 Tech Leaders 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 Tech Etf
Tech Leaders financial ratios help investors to determine whether Tech 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 Tech with respect to the benefits of owning Tech Leaders security.