Financial Select Sector Etf Market Value
| XLF Etf | USD 41.13 0.26 0.64% |
| Symbol | Financial |
The market value of Financial Select Sector is measured differently than its book value, which is the value of Financial that is recorded on the company's balance sheet. Investors also form their own opinion of Financial Select's value that differs from its market value or its book value, called intrinsic value, which is Financial Select'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 Financial Select's market value can be influenced by many factors that don't directly affect Financial Select'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 Financial Select's value and its price as these two are different measures arrived at by different means. Investors typically determine if Financial Select is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Financial Select'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.
Financial Select '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 Select'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 Select.
| 05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Financial Select on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding Financial Select Sector or generate 0.0% return on investment in Financial Select over 720 days. Financial Select is related to or competes with Virtus InfraCap, XAI Octagon, Amplify High, and Triplepoint Venture. The fund generally invests substantially all, but at least 95, of its total assets in the securities comprising the inde... More
Financial Select 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 Select'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 Select Sector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7713 | |||
| Information Ratio | 0.0455 | |||
| Maximum Drawdown | 3.21 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.21 |
Financial Select Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial Select's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial Select's standard deviation. In reality, there are many statistical measures that can use Financial Select historical prices to predict the future Financial Select's volatility.| Risk Adjusted Performance | 0.1073 | |||
| Jensen Alpha | 0.0746 | |||
| Total Risk Alpha | 0.0207 | |||
| Sortino Ratio | 0.0415 | |||
| Treynor Ratio | 0.2407 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Financial Select'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.
Financial Select Sector Backtested Returns
We consider Financial Select very steady. Financial Select Sector secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the etf had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Financial Select Sector, which you can use to evaluate the volatility of the entity. Please confirm Financial Select's Downside Deviation of 0.7713, coefficient of variation of 580.37, and Mean Deviation of 0.55 to check if the risk estimate we provide is consistent with the expected return of 0.11%. The etf shows a Beta (market volatility) of 0.46, which means possible diversification benefits within a given portfolio. As returns on the market increase, Financial Select's returns are expected to increase less than the market. However, during the bear market, the loss of holding Financial Select is expected to be smaller as well.
Auto-correlation | 0.25 |
Poor predictability
Financial Select Sector has poor predictability. Overlapping area represents the amount of predictability between Financial Select time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd 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 Financial Select Sector price movement. The serial correlation of 0.25 indicates that over 25.0% of current Financial Select price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 10.25 |
Financial Select Sector lagged returns against current returns
Autocorrelation, which is Financial Select 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 Select's etf expected returns. We can calculate the autocorrelation of Financial Select returns to help us make a trade decision. For example, suppose you find that Financial Select 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 Select 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 Select etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Financial Select etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Financial Select etf over time.
Current vs Lagged Prices |
| Timeline |
Financial Select Lagged Returns
When evaluating Financial Select's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Financial Select etf have on its future price. Financial Select 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 Select autocorrelation shows the relationship between Financial Select etf current value and its past values and can show if there is a momentum factor associated with investing in Financial Select Sector.
Regressed Prices |
| Timeline |
Financial Select Implied Volatility | 23.5 |
Financial Select's implied volatility exposes the market's sentiment of Financial Select Sector stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Financial Select's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Financial Select stock will not fluctuate a lot when Financial Select's options are near their expiration.
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 Financial Select 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, Financial Select's short interest history, or implied volatility extrapolated from Financial Select options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Financial Select Sector is a strong investment it is important to analyze Financial Select's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Financial Select's future performance. For an informed investment choice regarding Financial Etf, refer to the following important reports:Check out Financial Select Correlation, Financial Select Volatility and Financial Select Alpha and Beta module to complement your research on Financial Select. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Financial Select 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.