Investment Managers Series Etf Market Value
| KNO Etf | 43.50 0.09 0.21% |
| Symbol | Investment |
The market value of Investment Managers is measured differently than its book value, which is the value of Investment that is recorded on the company's balance sheet. Investors also form their own opinion of Investment Managers' value that differs from its market value or its book value, called intrinsic value, which is Investment Managers' 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 Investment Managers' market value can be influenced by many factors that don't directly affect Investment Managers' 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 Investment Managers' value and its price as these two are different measures arrived at by different means. Investors typically determine if Investment Managers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Investment Managers' 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.
Investment Managers '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 Investment Managers' 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 Investment Managers.
| 01/19/2023 |
| 01/08/2025 |
If you would invest 0.00 in Investment Managers on January 19, 2023 and sell it all today you would earn a total of 0.00 from holding Investment Managers Series or generate 0.0% return on investment in Investment Managers over 720 days. Investment Managers is related to or competes with IShares Dividend, Martin Currie, VictoryShares THB, Mast Global, AdvisorShares Gerber, Amplify ETF, and Tidal ETF. More
Investment Managers 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 Investment Managers' 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 Investment Managers Series upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 3.73 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.7502 |
Investment Managers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Investment Managers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Investment Managers' standard deviation. In reality, there are many statistical measures that can use Investment Managers historical prices to predict the future Investment Managers' volatility.| Risk Adjusted Performance | (0.16) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.36) |
Investment Managers Backtested Returns
Investment Managers holds Efficiency (Sharpe) Ratio of -0.19, which attests that the entity had a -0.19% return per unit of risk over the last 3 months. Investment Managers exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Investment Managers' Risk Adjusted Performance of (0.16), market risk adjusted performance of (0.35), and Standard Deviation of 0.6551 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Investment Managers' returns are expected to increase less than the market. However, during the bear market, the loss of holding Investment Managers is expected to be smaller as well.
Auto-correlation | -0.12 |
Insignificant reverse predictability
Investment Managers Series has insignificant reverse predictability. Overlapping area represents the amount of predictability between Investment Managers time series from 19th of January 2023 to 14th of January 2024 and 14th of January 2024 to 8th of January 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 Investment Managers price movement. The serial correlation of -0.12 indicates that less than 12.0% of current Investment Managers price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 2.46 |
Investment Managers lagged returns against current returns
Autocorrelation, which is Investment Managers 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 Investment Managers' etf expected returns. We can calculate the autocorrelation of Investment Managers returns to help us make a trade decision. For example, suppose you find that Investment Managers 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 |
Investment Managers 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 Investment Managers etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Investment Managers etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Investment Managers etf over time.
Current vs Lagged Prices |
| Timeline |
Investment Managers Lagged Returns
When evaluating Investment Managers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Investment Managers etf have on its future price. Investment Managers 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, Investment Managers autocorrelation shows the relationship between Investment Managers etf current value and its past values and can show if there is a momentum factor associated with investing in Investment Managers Series.
Regressed Prices |
| Timeline |
Pair Trading with Investment Managers
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 Investment Managers 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 Investment Managers will appreciate offsetting losses from the drop in the long position's value.Moving against Investment Etf
The ability to find closely correlated positions to Investment Managers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Investment Managers 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 Investment Managers - 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 Investment Managers Series to buy it.
The correlation of Investment Managers 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 Investment Managers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Investment Managers 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 Investment Managers 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 Investment Managers Correlation, Investment Managers Volatility and Investment Managers Alpha and Beta module to complement your research on Investment Managers. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Investment Managers 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.