Janus Henderson Small Etf Market Value
| JSML Etf | USD 73.04 0.16 0.22% |
| Symbol | Janus |
The market value of Janus Henderson Small is measured differently than its book value, which is the value of Janus that is recorded on the company's balance sheet. Investors also form their own opinion of Janus Henderson's value that differs from its market value or its book value, called intrinsic value, which is Janus Henderson'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 Janus Henderson's market value can be influenced by many factors that don't directly affect Janus Henderson'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 Janus Henderson's value and its price as these two are different measures arrived at by different means. Investors typically determine if Janus Henderson is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Janus Henderson'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.
Janus Henderson '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 Janus Henderson'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 Janus Henderson.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Janus Henderson on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Janus Henderson Small or generate 0.0% return on investment in Janus Henderson over 30 days. Janus Henderson is related to or competes with Janus Henderson, First Trust, ClearBridge Large, First Trust, and First Trust. The fund pursues its investment objective by normally investing at least 80 percent of its net assets in the securities ... More
Janus Henderson 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 Janus Henderson'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 Janus Henderson Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.0714 | |||
| Maximum Drawdown | 7.56 | |||
| Value At Risk | (1.70) | |||
| Potential Upside | 2.39 |
Janus Henderson Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Janus Henderson's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Janus Henderson's standard deviation. In reality, there are many statistical measures that can use Janus Henderson historical prices to predict the future Janus Henderson's volatility.| Risk Adjusted Performance | 0.1285 | |||
| Jensen Alpha | 0.0414 | |||
| Total Risk Alpha | 0.0075 | |||
| Sortino Ratio | 0.0823 | |||
| Treynor Ratio | 0.1421 |
Janus Henderson Small Backtested Returns
Janus Henderson appears to be very steady, given 3 months investment horizon. Janus Henderson Small holds Efficiency (Sharpe) Ratio of 0.21, which attests that the entity had a 0.21% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Janus Henderson Small, which you can use to evaluate the volatility of the entity. Please utilize Janus Henderson's Market Risk Adjusted Performance of 0.1521, downside deviation of 1.19, and Risk Adjusted Performance of 0.1285 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 1.49, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Janus Henderson will likely underperform.
Auto-correlation | 0.56 |
Modest predictability
Janus Henderson Small has modest predictability. Overlapping area represents the amount of predictability between Janus Henderson time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 Janus Henderson Small price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Janus Henderson price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 2.23 |
Janus Henderson Small lagged returns against current returns
Autocorrelation, which is Janus Henderson 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 Janus Henderson's etf expected returns. We can calculate the autocorrelation of Janus Henderson returns to help us make a trade decision. For example, suppose you find that Janus Henderson 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 |
Janus Henderson 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 Janus Henderson etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Janus Henderson etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Janus Henderson etf over time.
Current vs Lagged Prices |
| Timeline |
Janus Henderson Lagged Returns
When evaluating Janus Henderson's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Janus Henderson etf have on its future price. Janus Henderson 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, Janus Henderson autocorrelation shows the relationship between Janus Henderson etf current value and its past values and can show if there is a momentum factor associated with investing in Janus Henderson Small.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Janus Henderson Correlation, Janus Henderson Volatility and Janus Henderson Alpha and Beta module to complement your research on Janus Henderson. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Janus Henderson 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.