Series Portfolios Trust Etf Market Value
| CLOX Etf | 25.60 0.03 0.12% |
| Symbol | Series |
The market value of Series Portfolios Trust is measured differently than its book value, which is the value of Series that is recorded on the company's balance sheet. Investors also form their own opinion of Series Portfolios' value that differs from its market value or its book value, called intrinsic value, which is Series Portfolios' 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 Series Portfolios' market value can be influenced by many factors that don't directly affect Series Portfolios' 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 Series Portfolios' value and its price as these two are different measures arrived at by different means. Investors typically determine if Series Portfolios is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Series Portfolios' 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.
Series Portfolios '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 Series Portfolios' 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 Series Portfolios.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Series Portfolios on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Series Portfolios Trust or generate 0.0% return on investment in Series Portfolios over 30 days. Series Portfolios is related to or competes with IShares Interest, IShares Interest, IShares Edge, IShares Inflation, and IShares IBonds. Series Portfolios is entity of United States More
Series Portfolios 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 Series Portfolios' 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 Series Portfolios Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0861 | |||
| Information Ratio | (1.48) | |||
| Maximum Drawdown | 0.3562 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1568 |
Series Portfolios Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Series Portfolios' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Series Portfolios' standard deviation. In reality, there are many statistical measures that can use Series Portfolios historical prices to predict the future Series Portfolios' volatility.| Risk Adjusted Performance | 0.1684 | |||
| Jensen Alpha | 0.0186 | |||
| Total Risk Alpha | 0.0031 | |||
| Sortino Ratio | (1.30) | |||
| Treynor Ratio | (0.69) |
Series Portfolios Trust Backtested Returns
At this stage we consider Series Etf to be very steady. Series Portfolios Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.33, which indicates the etf had a 0.33% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Series Portfolios Trust, which you can use to evaluate the volatility of the etf. Please validate Series Portfolios' Standard Deviation of 0.0758, downside deviation of 0.0861, and Risk Adjusted Performance of 0.1684 to confirm if the risk estimate we provide is consistent with the expected return of 0.0246%. The entity has a beta of -0.0229, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Series Portfolios are expected to decrease at a much lower rate. During the bear market, Series Portfolios is likely to outperform the market.
Auto-correlation | 0.86 |
Very good predictability
Series Portfolios Trust has very good predictability. Overlapping area represents the amount of predictability between Series Portfolios time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 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 Series Portfolios Trust price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Series Portfolios price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Series Portfolios Trust lagged returns against current returns
Autocorrelation, which is Series Portfolios 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 Series Portfolios' etf expected returns. We can calculate the autocorrelation of Series Portfolios returns to help us make a trade decision. For example, suppose you find that Series Portfolios 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 |
Series Portfolios 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 Series Portfolios etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Series Portfolios etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Series Portfolios etf over time.
Current vs Lagged Prices |
| Timeline |
Series Portfolios Lagged Returns
When evaluating Series Portfolios' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Series Portfolios etf have on its future price. Series Portfolios 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, Series Portfolios autocorrelation shows the relationship between Series Portfolios etf current value and its past values and can show if there is a momentum factor associated with investing in Series Portfolios Trust.
Regressed Prices |
| Timeline |
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 Series Portfolios Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Series Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Series Portfolios Trust Etf. Highlighted below are key reports to facilitate an investment decision about Series Portfolios Trust Etf:Check out Series Portfolios Correlation, Series Portfolios Volatility and Series Portfolios Alpha and Beta module to complement your research on Series Portfolios. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Series Portfolios 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.