Managed Portfolio Series Etf Market Value
| LCR Etf | USD 34.12 0.34 1.01% |
| Symbol | Managed |
The market value of Managed Portfolio Series is measured differently than its book value, which is the value of Managed that is recorded on the company's balance sheet. Investors also form their own opinion of Managed Portfolio's value that differs from its market value or its book value, called intrinsic value, which is Managed Portfolio'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 Managed Portfolio's market value can be influenced by many factors that don't directly affect Managed Portfolio'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 Managed Portfolio's value and its price as these two are different measures arrived at by different means. Investors typically determine if Managed Portfolio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Managed Portfolio'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.
Managed Portfolio '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 Managed Portfolio'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 Managed Portfolio.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Managed Portfolio on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Managed Portfolio Series or generate 0.0% return on investment in Managed Portfolio over 90 days. Managed Portfolio is related to or competes with Overlay Shares, First Trust, LeaderSharesTM AlphaFactor, Overlay Shares, and PIMCO RAFI. The fund is an actively-managed exchanged-traded fund of funds and seeks to achieve its objective by investing primarily... More
Managed Portfolio 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 Managed Portfolio'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 Managed Portfolio Series upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0691 | |||
| Maximum Drawdown | 2.7 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.8118 |
Managed Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Managed Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Managed Portfolio's standard deviation. In reality, there are many statistical measures that can use Managed Portfolio historical prices to predict the future Managed Portfolio's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0) | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Managed Portfolio'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.
Managed Portfolio Series Backtested Returns
Managed Portfolio Series has Sharpe Ratio of -0.0798, which conveys that the entity had a -0.0798 % return per unit of risk over the last 3 months. Managed Portfolio exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Managed Portfolio's Risk Adjusted Performance of (0.10), mean deviation of 0.4225, and Standard Deviation of 0.5557 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.46, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Managed Portfolio's returns are expected to increase less than the market. However, during the bear market, the loss of holding Managed Portfolio is expected to be smaller as well.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Managed Portfolio Series has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Managed Portfolio 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 Managed Portfolio Series price movement. The serial correlation of -0.73 indicates that around 73.0% of current Managed Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
Managed Portfolio Series lagged returns against current returns
Autocorrelation, which is Managed Portfolio 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 Managed Portfolio's etf expected returns. We can calculate the autocorrelation of Managed Portfolio returns to help us make a trade decision. For example, suppose you find that Managed Portfolio 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 |
Managed Portfolio 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 Managed Portfolio etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Managed Portfolio etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Managed Portfolio etf over time.
Current vs Lagged Prices |
| Timeline |
Managed Portfolio Lagged Returns
When evaluating Managed Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Managed Portfolio etf have on its future price. Managed Portfolio 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, Managed Portfolio autocorrelation shows the relationship between Managed Portfolio etf current value and its past values and can show if there is a momentum factor associated with investing in Managed Portfolio Series.
Regressed Prices |
| Timeline |
Pair Trading with Managed Portfolio
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 Managed Portfolio 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 Managed Portfolio will appreciate offsetting losses from the drop in the long position's value.Moving together with Managed Etf
| 0.89 | TDSC | Cabana Target Drawdown | PairCorr |
| 0.9 | YYY | Amplify High Income | PairCorr |
| 0.87 | FVC | First Trust Dorsey | PairCorr |
| 0.64 | TDSB | Cabana Target Drawdown | PairCorr |
| 0.95 | GMOM | Cambria Global Momentum | PairCorr |
Moving against Managed Etf
The ability to find closely correlated positions to Managed Portfolio could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Managed Portfolio 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 Managed Portfolio - 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 Managed Portfolio Series to buy it.
The correlation of Managed Portfolio 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 Managed Portfolio moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Managed Portfolio Series 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 Managed Portfolio 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 Managed Portfolio Correlation, Managed Portfolio Volatility and Managed Portfolio Alpha and Beta module to complement your research on Managed Portfolio. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Managed Portfolio 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.