Janus Enterprise Fund Market Value
JDMNX Fund | USD 144.13 1.53 1.07% |
Symbol | Janus |
Janus Enterprise '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 Enterprise's mutual fund 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 Enterprise.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Janus Enterprise on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Janus Enterprise Fund or generate 0.0% return on investment in Janus Enterprise over 30 days. Janus Enterprise is related to or competes with USCF Gold, Janus Global, Janus Global, Janus Global, Janus Global, Janus Growth, and Janus Growth. The fund pursues its investment objective by investing primarily in common stocks selected for their growth potential, a... More
Janus Enterprise 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 Enterprise's mutual fund 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 Enterprise Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7316 | |||
Information Ratio | 0.0096 | |||
Maximum Drawdown | 3.36 | |||
Value At Risk | (1.09) | |||
Potential Upside | 1.47 |
Janus Enterprise Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Janus Enterprise's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Janus Enterprise's standard deviation. In reality, there are many statistical measures that can use Janus Enterprise historical prices to predict the future Janus Enterprise's volatility.Risk Adjusted Performance | 0.1069 | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | 0.0099 | |||
Treynor Ratio | 0.1084 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Janus Enterprise'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.
Janus Enterprise Fund Backtested Returns
We consider Janus Enterprise very steady. Janus Enterprise Fund holds Efficiency (Sharpe) Ratio of 0.17, which attests that the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Janus Enterprise Fund, which you can use to evaluate the volatility of the entity. Please check out Janus Enterprise's Risk Adjusted Performance of 0.1069, downside deviation of 0.7316, and Market Risk Adjusted Performance of 0.1184 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The fund retains a Market Volatility (i.e., Beta) of 1.21, 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 Enterprise will likely underperform.
Auto-correlation | 0.30 |
Below average predictability
Janus Enterprise Fund has below average predictability. Overlapping area represents the amount of predictability between Janus Enterprise time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Enterprise Fund price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Janus Enterprise price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.3 | |
Spearman Rank Test | 0.52 | |
Residual Average | 0.0 | |
Price Variance | 1.27 |
Janus Enterprise Fund lagged returns against current returns
Autocorrelation, which is Janus Enterprise mutual fund'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 Enterprise's mutual fund expected returns. We can calculate the autocorrelation of Janus Enterprise returns to help us make a trade decision. For example, suppose you find that Janus Enterprise has exhibited high autocorrelation historically, and you observe that the mutual fund 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 Enterprise 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 Enterprise mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Janus Enterprise mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Janus Enterprise mutual fund over time.
Current vs Lagged Prices |
Timeline |
Janus Enterprise Lagged Returns
When evaluating Janus Enterprise's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Janus Enterprise mutual fund have on its future price. Janus Enterprise 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 Enterprise autocorrelation shows the relationship between Janus Enterprise mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Janus Enterprise Fund.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Janus Enterprise in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Janus Enterprise's short interest history, or implied volatility extrapolated from Janus Enterprise options trading.
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Complementary Tools for Janus Mutual Fund analysis
When running Janus Enterprise's price analysis, check to measure Janus Enterprise's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Janus Enterprise is operating at the current time. Most of Janus Enterprise's value examination focuses on studying past and present price action to predict the probability of Janus Enterprise's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Janus Enterprise's price. Additionally, you may evaluate how the addition of Janus Enterprise to your portfolios can decrease your overall portfolio volatility.
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Janus Enterprise technical mutual fund 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, fund market cycles, or different charting patterns.