Alps Sector Dividend Etf Market Value
| SDOG Etf | USD 57.77 0.79 1.39% |
| Symbol | ALPS |
The market value of ALPS Sector Dividend is measured differently than its book value, which is the value of ALPS that is recorded on the company's balance sheet. Investors also form their own opinion of ALPS Sector's value that differs from its market value or its book value, called intrinsic value, which is ALPS Sector'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 ALPS Sector's market value can be influenced by many factors that don't directly affect ALPS Sector'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 ALPS Sector's value and its price as these two are different measures arrived at by different means. Investors typically determine if ALPS Sector is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ALPS Sector'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.
ALPS Sector '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 ALPS Sector'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 ALPS Sector.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in ALPS Sector on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding ALPS Sector Dividend or generate 0.0% return on investment in ALPS Sector over 90 days. ALPS Sector is related to or competes with ALPS International, WisdomTree SmallCap, WisdomTree MidCap, Invesco SP, and First Trust. The underlying index generally consists of 50 stocks on each annual reconstitution date, which is the third Friday of De... More
ALPS Sector 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 ALPS Sector'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 ALPS Sector Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.01 | |||
| Information Ratio | 0.1275 | |||
| Maximum Drawdown | 3.82 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.27 |
ALPS Sector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALPS Sector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALPS Sector's standard deviation. In reality, there are many statistical measures that can use ALPS Sector historical prices to predict the future ALPS Sector's volatility.| Risk Adjusted Performance | 0.0112 | |||
| Jensen Alpha | 0.0592 | |||
| Total Risk Alpha | 0.1095 | |||
| Sortino Ratio | 0.1093 | |||
| Treynor Ratio | 0.0023 |
ALPS Sector Dividend Backtested Returns
At this point, ALPS Sector is very steady. ALPS Sector Dividend secures Sharpe Ratio (or Efficiency) of 0.013, which signifies that the etf had a 0.013 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ALPS Sector Dividend, which you can use to evaluate the volatility of the entity. Please confirm ALPS Sector's risk adjusted performance of 0.0112, and Mean Deviation of 0.6524 to double-check if the risk estimate we provide is consistent with the expected return of 0.0112%. The etf shows a Beta (market volatility) of 0.53, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, ALPS Sector's returns are expected to increase less than the market. However, during the bear market, the loss of holding ALPS Sector is expected to be smaller as well.
Auto-correlation | 0.02 |
Virtually no predictability
ALPS Sector Dividend has virtually no predictability. Overlapping area represents the amount of predictability between ALPS Sector time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 ALPS Sector Dividend price movement. The serial correlation of 0.02 indicates that only 2.0% of current ALPS Sector price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
ALPS Sector Dividend lagged returns against current returns
Autocorrelation, which is ALPS Sector 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 ALPS Sector's etf expected returns. We can calculate the autocorrelation of ALPS Sector returns to help us make a trade decision. For example, suppose you find that ALPS Sector 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 |
ALPS Sector 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 ALPS Sector etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ALPS Sector etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ALPS Sector etf over time.
Current vs Lagged Prices |
| Timeline |
ALPS Sector Lagged Returns
When evaluating ALPS Sector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ALPS Sector etf have on its future price. ALPS Sector 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, ALPS Sector autocorrelation shows the relationship between ALPS Sector etf current value and its past values and can show if there is a momentum factor associated with investing in ALPS Sector Dividend.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether ALPS Sector Dividend is a strong investment it is important to analyze ALPS Sector'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 ALPS Sector's future performance. For an informed investment choice regarding ALPS Etf, refer to the following important reports:Check out ALPS Sector Correlation, ALPS Sector Volatility and ALPS Sector Alpha and Beta module to complement your research on ALPS Sector. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
ALPS Sector 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.