Financial Select Sector Etf Market Value
| XLF Etf | USD 48.52 1.10 2.32% |
| 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.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Financial Select on December 16, 2024 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 90 days. Financial Select is related to or competes with Energy Select, Technology Select, Health Care, Industrial Select, and Consumer Staples. 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.
| Information Ratio | 0.0491 | |||
| Maximum Drawdown | 6.07 | |||
| Value At Risk | (2.24) | |||
| Potential Upside | 1.47 |
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 | (0.03) | |||
| Jensen Alpha | 0.0441 | |||
| Total Risk Alpha | 0.0816 | |||
| Treynor Ratio | (0.06) |
Financial Select Sector Backtested Returns
Financial Select Sector secures Sharpe Ratio (or Efficiency) of -0.016, which denotes the etf had a -0.016 % return per unit of risk over the last 3 months. Financial Select Sector exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Financial Select's Variance of 1.2, mean deviation of 0.7905, and Standard Deviation of 1.09 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.91, which means possible diversification benefits within a given portfolio. Financial Select returns are very sensitive to returns on the market. As the market goes up or down, Financial Select is expected to follow.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Financial Select Sector has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Financial Select time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Financial Select Sector price movement. The serial correlation of -0.77 indicates that around 77.0% of current Financial Select price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 2.01 |
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 |
Currently Active Assets on Macroaxis
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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.