The Advisorsa Inner Etf Market Value
| SAGP Etf | USD 30.70 0.06 0.20% |
| Symbol | Advisorsa |
The market value of Advisorsa Inner is measured differently than its book value, which is the value of Advisorsa that is recorded on the company's balance sheet. Investors also form their own opinion of Advisorsa Inner's value that differs from its market value or its book value, called intrinsic value, which is Advisorsa Inner'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 Advisorsa Inner's market value can be influenced by many factors that don't directly affect Advisorsa Inner'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 Advisorsa Inner's value and its price as these two are different measures arrived at by different means. Investors typically determine if Advisorsa Inner is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Advisorsa Inner'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.
Advisorsa Inner '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 Advisorsa Inner'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 Advisorsa Inner.
| 01/12/2023 |
| 12/02/2024 |
If you would invest 0.00 in Advisorsa Inner on January 12, 2023 and sell it all today you would earn a total of 0.00 from holding The Advisorsa Inner or generate 0.0% return on investment in Advisorsa Inner over 690 days. Advisorsa Inner is related to or competes with SPACE, Bayview Acquisition, Ampleforth, Ionet, Eureka Acquisition, Embecta Corp, and Kodiak Sciences. The fund is an actively-managed exchange-traded fund that seeks to achieve its objective by investing principally in the... More
Advisorsa Inner 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 Advisorsa Inner'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 The Advisorsa Inner upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8207 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 2.99 | |||
| Value At Risk | (1.10) | |||
| Potential Upside | 1.12 |
Advisorsa Inner Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Advisorsa Inner's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Advisorsa Inner's standard deviation. In reality, there are many statistical measures that can use Advisorsa Inner historical prices to predict the future Advisorsa Inner's volatility.| Risk Adjusted Performance | 0.0724 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0831 |
Advisorsa Inner Backtested Returns
Currently, The Advisorsa Inner is very steady. Advisorsa Inner secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the etf had a 0.13% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for The Advisorsa Inner, which you can use to evaluate the volatility of the entity. Please confirm Advisorsa Inner's Mean Deviation of 0.5599, risk adjusted performance of 0.0724, and Semi Deviation of 0.7428 to double-check if the risk estimate we provide is consistent with the expected return of 0.0873%. The etf shows a Beta (market volatility) of 0.69, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Advisorsa Inner's returns are expected to increase less than the market. However, during the bear market, the loss of holding Advisorsa Inner is expected to be smaller as well.
Auto-correlation | -0.23 |
Weak reverse predictability
The Advisorsa Inner has weak reverse predictability. Overlapping area represents the amount of predictability between Advisorsa Inner time series from 12th of January 2023 to 23rd of December 2023 and 23rd of December 2023 to 2nd of December 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 Advisorsa Inner price movement. The serial correlation of -0.23 indicates that over 23.0% of current Advisorsa Inner price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 2.22 |
Advisorsa Inner lagged returns against current returns
Autocorrelation, which is Advisorsa Inner 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 Advisorsa Inner's etf expected returns. We can calculate the autocorrelation of Advisorsa Inner returns to help us make a trade decision. For example, suppose you find that Advisorsa Inner 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 |
Advisorsa Inner 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 Advisorsa Inner etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Advisorsa Inner etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Advisorsa Inner etf over time.
Current vs Lagged Prices |
| Timeline |
Advisorsa Inner Lagged Returns
When evaluating Advisorsa Inner's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Advisorsa Inner etf have on its future price. Advisorsa Inner 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, Advisorsa Inner autocorrelation shows the relationship between Advisorsa Inner etf current value and its past values and can show if there is a momentum factor associated with investing in The Advisorsa Inner.
Regressed Prices |
| Timeline |
Pair Trading with Advisorsa Inner
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 Advisorsa Inner 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 Advisorsa Inner will appreciate offsetting losses from the drop in the long position's value.Moving together with Advisorsa Etf
| 0.8 | INFL | Horizon Kinetics Inf Potential Growth | PairCorr |
| 0.87 | PSP | Invesco Global Listed | PairCorr |
| 0.65 | VRAI | Virtus Real Asset | PairCorr |
Moving against Advisorsa Etf
The ability to find closely correlated positions to Advisorsa Inner could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Advisorsa Inner 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 Advisorsa Inner - 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 The Advisorsa Inner to buy it.
The correlation of Advisorsa Inner 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 Advisorsa Inner moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Advisorsa Inner 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 Advisorsa Inner 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 Advisorsa Inner Correlation, Advisorsa Inner Volatility and Advisorsa Inner Alpha and Beta module to complement your research on Advisorsa Inner. 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.
Advisorsa Inner 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.