Jhn Hk Bal Fund Market Value
JELBX Fund | USD 10.05 0.08 0.79% |
Symbol | Jhn |
Jhn Hk '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 Jhn Hk'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 Jhn Hk.
03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Jhn Hk on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Jhn Hk Bal or generate 0.0% return on investment in Jhn Hk over 30 days. Jhn Hk is related to or competes with IShares International, and Merck. Jhn Hk is entity of United States. It is traded as Fund on NMFQS exchange. More
Jhn Hk 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 Jhn Hk'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 Jhn Hk Bal upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.55 | |||
Information Ratio | (0.12) | |||
Maximum Drawdown | 2.28 | |||
Value At Risk | (0.70) | |||
Potential Upside | 0.6965 |
Jhn Hk Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jhn Hk's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jhn Hk's standard deviation. In reality, there are many statistical measures that can use Jhn Hk historical prices to predict the future Jhn Hk's volatility.Risk Adjusted Performance | 0.0358 | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.11) | |||
Treynor Ratio | 0.0282 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jhn Hk'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.
Jhn Hk Bal Backtested Returns
We consider Jhn Hk very steady. Jhn Hk Bal holds Efficiency (Sharpe) Ratio of 0.0215, which attests that the entity had a 0.0215% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Jhn Hk Bal, which you can use to evaluate the volatility of the entity. Please check out Jhn Hk's Risk Adjusted Performance of 0.0358, market risk adjusted performance of 0.0382, and Downside Deviation of 0.55 to validate if the risk estimate we provide is consistent with the expected return of 0.0107%. The fund retains a Market Volatility (i.e., Beta) of 0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Jhn Hk's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jhn Hk is expected to be smaller as well.
Auto-correlation | 0.63 |
Good predictability
Jhn Hk Bal has good predictability. Overlapping area represents the amount of predictability between Jhn Hk time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Jhn Hk Bal price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current Jhn Hk price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.63 | |
Spearman Rank Test | 0.14 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Jhn Hk Bal lagged returns against current returns
Autocorrelation, which is Jhn Hk 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 Jhn Hk's mutual fund expected returns. We can calculate the autocorrelation of Jhn Hk returns to help us make a trade decision. For example, suppose you find that Jhn Hk 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 |
Jhn Hk 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 Jhn Hk mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jhn Hk mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jhn Hk mutual fund over time.
Current vs Lagged Prices |
Timeline |
Jhn Hk Lagged Returns
When evaluating Jhn Hk's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jhn Hk mutual fund have on its future price. Jhn Hk 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, Jhn Hk autocorrelation shows the relationship between Jhn Hk mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jhn Hk Bal.
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 Jhn Hk 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, Jhn Hk's short interest history, or implied volatility extrapolated from Jhn Hk options trading.
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 Jhn Hk Correlation, Jhn Hk Volatility and Jhn Hk Alpha and Beta module to complement your research on Jhn Hk. Note that the Jhn Hk Bal information on this page should be used as a complementary analysis to other Jhn Hk's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Jhn Hk 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.