First Trust S Network Etf Market Value
| ISHP Etf | USD 39.80 0.08 0.20% |
| Symbol | First |
The market value of First Trust S is measured differently than its book value, which is the value of First that is recorded on the company's balance sheet. Investors also form their own opinion of First Trust's value that differs from its market value or its book value, called intrinsic value, which is First Trust's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because First Trust's market value can be influenced by many factors that don't directly affect First Trust's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between First Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if First Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, First Trust's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
First Trust '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 Trust'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 Trust.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in First Trust on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding First Trust S Network or generate 0.0% return on investment in First Trust over 90 days. First Trust is related to or competes with IndexIQ Active, American Century, First Trust, Matthews International, Tidal ETF, Invesco ESG, and DBX ETF. The fund will normally invest at least 90 percent of its net assets in the common stocks and depository receipts that co... More
First Trust 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 Trust'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 Trust S Network upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.87 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.21 |
First Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Trust's standard deviation. In reality, there are many statistical measures that can use First Trust historical prices to predict the future First Trust's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.04) |
First Trust January 25, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.02) | |||
| Market Risk Adjusted Performance | (0.03) | |||
| Mean Deviation | 0.7281 | |||
| Coefficient Of Variation | (2,942) | |||
| Standard Deviation | 0.9267 | |||
| Variance | 0.8588 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.04) | |||
| Maximum Drawdown | 3.87 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.21 | |||
| Skewness | (0.34) | |||
| Kurtosis | (0.30) |
First Trust S Backtested Returns
First Trust S secures Sharpe Ratio (or Efficiency) of -0.0786, which denotes the etf had a -0.0786 % return per unit of risk over the last 3 months. First Trust S Network exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm First Trust's Standard Deviation of 0.9267, variance of 0.8588, and Mean Deviation of 0.7281 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.99, which means possible diversification benefits within a given portfolio. First Trust returns are very sensitive to returns on the market. As the market goes up or down, First Trust is expected to follow.
Auto-correlation | -0.64 |
Very good reverse predictability
First Trust S Network has very good reverse predictability. Overlapping area represents the amount of predictability between First Trust time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 2026. 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 Trust S price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current First Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
Pair Trading with First Trust
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 First Trust 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 First Trust will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to First Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Trust 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 First Trust - 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 First Trust S Network to buy it.
The correlation of First Trust 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 First Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Trust S 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 First Trust 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.Check out First Trust Correlation, First Trust Volatility and First Trust Alpha and Beta module to complement your research on First Trust. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
First Trust 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.