Johnson Institutional Intermediate Fund Technical Analysis
| JIBEX Fund | USD 14.93 0.05 0.34% |
As of the 6th of February, Johnson Institutional retains the Coefficient Of Variation of 715.57, market risk adjusted performance of 0.6396, and Risk Adjusted Performance of 0.0548. Johnson Institutional technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Johnson Institutional Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Johnson, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JohnsonJohnson |
Johnson Institutional '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 Johnson Institutional'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 Johnson Institutional.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Johnson Institutional on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Johnson Institutional Intermediate or generate 0.0% return on investment in Johnson Institutional over 90 days. Johnson Institutional is related to or competes with Ultra-short Fixed, T Rowe, Vanguard Short-term, Rbc Bluebay, Maryland Tax-free, and Ab Bond. The fund invests at least 80 percent of its net assets, plus any amounts for borrowing, in a broad range of investment g... More
Johnson Institutional 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 Johnson Institutional'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 Johnson Institutional Intermediate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1308 | |||
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 0.4731 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.2027 |
Johnson Institutional Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Johnson Institutional's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Johnson Institutional's standard deviation. In reality, there are many statistical measures that can use Johnson Institutional historical prices to predict the future Johnson Institutional's volatility.| Risk Adjusted Performance | 0.0548 | |||
| Jensen Alpha | 0.007 | |||
| Total Risk Alpha | 0.0016 | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.6296 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Johnson Institutional'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.
Johnson Institutional February 6, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0548 | |||
| Market Risk Adjusted Performance | 0.6396 | |||
| Mean Deviation | 0.1021 | |||
| Downside Deviation | 0.1308 | |||
| Coefficient Of Variation | 715.57 | |||
| Standard Deviation | 0.1247 | |||
| Variance | 0.0156 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | 0.007 | |||
| Total Risk Alpha | 0.0016 | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.6296 | |||
| Maximum Drawdown | 0.4731 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.2027 | |||
| Downside Variance | 0.0171 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.13) | |||
| Skewness | 0.2116 | |||
| Kurtosis | (0.52) |
Johnson Institutional Backtested Returns
At this stage we consider Johnson Mutual Fund to be very steady. Johnson Institutional holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Johnson Institutional, which you can use to evaluate the volatility of the entity. Please check out Johnson Institutional's Market Risk Adjusted Performance of 0.6396, coefficient of variation of 715.57, and Risk Adjusted Performance of 0.0548 to validate if the risk estimate we provide is consistent with the expected return of 0.018%. The fund retains a Market Volatility (i.e., Beta) of 0.0118, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Johnson Institutional's returns are expected to increase less than the market. However, during the bear market, the loss of holding Johnson Institutional is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Johnson Institutional Intermediate has weak predictability. Overlapping area represents the amount of predictability between Johnson Institutional time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Johnson Institutional price movement. The serial correlation of 0.21 indicates that over 21.0% of current Johnson Institutional price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Johnson Institutional 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.
Johnson Institutional Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Johnson Institutional volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Johnson Institutional Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Johnson Institutional Intermediate on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Johnson Institutional Intermediate based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Johnson Institutional price pattern first instead of the macroeconomic environment surrounding Johnson Institutional. By analyzing Johnson Institutional's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Johnson Institutional's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Johnson Institutional specific price patterns or momentum indicators. Please read more on our technical analysis page.
Johnson Institutional February 6, 2026 Technical Indicators
Most technical analysis of Johnson help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Johnson from various momentum indicators to cycle indicators. When you analyze Johnson charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0548 | |||
| Market Risk Adjusted Performance | 0.6396 | |||
| Mean Deviation | 0.1021 | |||
| Downside Deviation | 0.1308 | |||
| Coefficient Of Variation | 715.57 | |||
| Standard Deviation | 0.1247 | |||
| Variance | 0.0156 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | 0.007 | |||
| Total Risk Alpha | 0.0016 | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.6296 | |||
| Maximum Drawdown | 0.4731 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.2027 | |||
| Downside Variance | 0.0171 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.13) | |||
| Skewness | 0.2116 | |||
| Kurtosis | (0.52) |
Johnson Institutional February 6, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Johnson stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 14.93 | ||
| Day Typical Price | 14.93 | ||
| Price Action Indicator | 0.02 |
Other Information on Investing in Johnson Mutual Fund
Johnson Institutional financial ratios help investors to determine whether Johnson Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Johnson with respect to the benefits of owning Johnson Institutional security.
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing |