Ia Clarington Floating Etf Market Value
| IFRF Etf | CAD 8.30 0.03 0.36% |
| Symbol | IFRF |
IA Clarington '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 IA Clarington'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 IA Clarington.
| 09/10/2023 |
| 01/02/2025 |
If you would invest 0.00 in IA Clarington on September 10, 2023 and sell it all today you would earn a total of 0.00 from holding IA Clarington Floating or generate 0.0% return on investment in IA Clarington over 480 days. IA Clarington is related to or competes with First Trust, FT AlphaDEX, First Trust, Global X, and BMO Floating. The Funds objective is to provide unitholders with a stream of current monthly income by investing primarily in senior f... More
IA Clarington 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 IA Clarington'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 IA Clarington Floating upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 0.9616 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.2415 |
IA Clarington Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IA Clarington's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IA Clarington's standard deviation. In reality, there are many statistical measures that can use IA Clarington historical prices to predict the future IA Clarington's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | 0.2923 |
IA Clarington Floating Backtested Returns
As of now, IFRF Etf is very steady. IA Clarington Floating retains Efficiency (Sharpe Ratio) of 0.0313, which attests that the etf had a 0.0313% return per unit of price deviation over the last 3 months. We have found twenty-one technical indicators for IA Clarington, which you can use to evaluate the volatility of the entity. Please check out IA Clarington's Market Risk Adjusted Performance of 0.3023, coefficient of variation of (12,003), and Information Ratio of (0.07) to validate if the risk estimate we provide is consistent with the expected return of 0.0061%. The entity owns a Beta (Systematic Risk) of -0.0398, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IA Clarington are expected to decrease at a much lower rate. During the bear market, IA Clarington is likely to outperform the market.
Auto-correlation | -0.62 |
Very good reverse predictability
IA Clarington Floating has very good reverse predictability. Overlapping area represents the amount of predictability between IA Clarington time series from 10th of September 2023 to 7th of May 2024 and 7th of May 2024 to 2nd 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 IA Clarington Floating price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current IA Clarington price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
IA Clarington Floating lagged returns against current returns
Autocorrelation, which is IA Clarington 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 IA Clarington's etf expected returns. We can calculate the autocorrelation of IA Clarington returns to help us make a trade decision. For example, suppose you find that IA Clarington 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 |
IA Clarington 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 IA Clarington etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IA Clarington etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IA Clarington etf over time.
Current vs Lagged Prices |
| Timeline |
IA Clarington Lagged Returns
When evaluating IA Clarington's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IA Clarington etf have on its future price. IA Clarington 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, IA Clarington autocorrelation shows the relationship between IA Clarington etf current value and its past values and can show if there is a momentum factor associated with investing in IA Clarington Floating.
Regressed Prices |
| Timeline |
Pair Trading with IA Clarington
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 IA Clarington 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 IA Clarington will appreciate offsetting losses from the drop in the long position's value.Moving against IFRF Etf
The ability to find closely correlated positions to IA Clarington could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IA Clarington 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 IA Clarington - 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 IA Clarington Floating to buy it.
The correlation of IA Clarington 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 IA Clarington moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IA Clarington Floating 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 IA Clarington 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 IFRF Etf
IA Clarington financial ratios help investors to determine whether IFRF 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 IFRF with respect to the benefits of owning IA Clarington security.