Financial 15 Split Etf Market Value
| FTN Etf | CAD 10.23 0.21 2.10% |
| Symbol | Financial |
Financial '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 Financial'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 Financial.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Financial on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Financial 15 Split or generate 0.0% return on investment in Financial over 30 days. Financial is related to or competes with Dividend, Dividend Growth, North American, Life Banc, and Global Dividend. Financial 15 Split Corp. is an close ended equity mutual fund launched by Quadravest Inc More
Financial 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 Financial'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 Financial 15 Split upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.954 | |||
| Information Ratio | 0.2429 | |||
| Maximum Drawdown | 4.38 | |||
| Value At Risk | (0.73) | |||
| Potential Upside | 1.52 |
Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial's standard deviation. In reality, there are many statistical measures that can use Financial historical prices to predict the future Financial's volatility.| Risk Adjusted Performance | 0.2973 | |||
| Jensen Alpha | 0.2767 | |||
| Total Risk Alpha | 0.1991 | |||
| Sortino Ratio | 0.2334 | |||
| Treynor Ratio | 0.622 |
Financial 15 Split Backtested Returns
Financial appears to be very steady, given 3 months investment horizon. Financial 15 Split secures Sharpe Ratio (or Efficiency) of 0.42, which denotes the etf had a 0.42% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Financial 15 Split, which you can use to evaluate the volatility of the entity. Please utilize Financial's Coefficient Of Variation of 259.41, mean deviation of 0.5913, and Downside Deviation of 0.954 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.55, which means possible diversification benefits within a given portfolio. As returns on the market increase, Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Financial is expected to be smaller as well.
Auto-correlation | 0.67 |
Good predictability
Financial 15 Split has good predictability. Overlapping area represents the amount of predictability between Financial time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Financial 15 Split price movement. The serial correlation of 0.67 indicates that around 67.0% of current Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Financial 15 Split lagged returns against current returns
Autocorrelation, which is Financial 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 Financial's etf expected returns. We can calculate the autocorrelation of Financial returns to help us make a trade decision. For example, suppose you find that Financial 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 |
Financial 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 Financial etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Financial etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Financial etf over time.
Current vs Lagged Prices |
| Timeline |
Financial Lagged Returns
When evaluating Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Financial etf have on its future price. Financial 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, Financial autocorrelation shows the relationship between Financial etf current value and its past values and can show if there is a momentum factor associated with investing in Financial 15 Split.
Regressed Prices |
| Timeline |
Pair Trading with Financial
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 Financial 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 Financial will appreciate offsetting losses from the drop in the long position's value.Moving together with Financial Etf
Moving against Financial Etf
The ability to find closely correlated positions to Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Financial 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 Financial - 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 Financial 15 Split to buy it.
The correlation of Financial 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 Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Financial 15 Split 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 Financial 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 Financial Etf
Financial financial ratios help investors to determine whether Financial 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 Financial with respect to the benefits of owning Financial security.