First Asset Energy Etf Market Value
| NXF Etf | CAD 6.43 0.04 0.62% |
| Symbol | First |
First Asset '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 First Asset'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 First Asset.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in First Asset on April 27, 2022 and sell it all today you would earn a total of 0.00 from holding First Asset Energy or generate 0.0% return on investment in First Asset over 720 days. First Asset is related to or competes with IShares SPTSX, IShares SPTSX, IShares SPTSX, IShares SPTSX, and IShares SPTSX. The investment objective of the Energy Giants ETF is to provide Unitholders, through an actively managed portfolio, as d... More
First Asset 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 First Asset'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 First Asset Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8853 | |||
| Information Ratio | 0.1212 | |||
| Maximum Drawdown | 3.42 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.36 |
First Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Asset's standard deviation. In reality, there are many statistical measures that can use First Asset historical prices to predict the future First Asset's volatility.| Risk Adjusted Performance | 0.1274 | |||
| Jensen Alpha | 0.1199 | |||
| Total Risk Alpha | 0.0824 | |||
| Sortino Ratio | 0.1093 | |||
| Treynor Ratio | 0.2664 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Asset's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
First Asset Energy Backtested Returns
First Asset appears to be very steady, given 3 months investment horizon. First Asset Energy secures Sharpe Ratio (or Efficiency) of 0.28, which denotes the etf had a 0.28% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for First Asset Energy, which you can use to evaluate the volatility of the entity. Please utilize First Asset's Downside Deviation of 0.8853, coefficient of variation of 500.77, and Mean Deviation of 0.6177 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.56, which means possible diversification benefits within a given portfolio. As returns on the market increase, First Asset's returns are expected to increase less than the market. However, during the bear market, the loss of holding First Asset is expected to be smaller as well.
Auto-correlation | 0.29 |
Poor predictability
First Asset Energy has poor predictability. Overlapping area represents the amount of predictability between First Asset time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th of April 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 First Asset Energy price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current First Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
First Asset Energy lagged returns against current returns
Autocorrelation, which is First Asset 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 First Asset's etf expected returns. We can calculate the autocorrelation of First Asset returns to help us make a trade decision. For example, suppose you find that First Asset 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 |
First Asset 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 First Asset etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First Asset etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in First Asset etf over time.
Current vs Lagged Prices |
| Timeline |
First Asset Lagged Returns
When evaluating First Asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of First Asset etf have on its future price. First Asset 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, First Asset autocorrelation shows the relationship between First Asset etf current value and its past values and can show if there is a momentum factor associated with investing in First Asset Energy.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards First Asset in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, First Asset's short interest history, or implied volatility extrapolated from First Asset options trading.
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Try AI Portfolio ArchitectCheck out First Asset Correlation, First Asset Volatility and First Asset Alpha and Beta module to complement your research on First Asset. Note that the First Asset Energy information on this page should be used as a complementary analysis to other First Asset's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
First Asset technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.