Johnson Equity Income Fund Market Value
| JEQIX Fund | USD 34.81 0.14 0.40% |
| Symbol | Johnson |
Johnson Equity '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 Equity'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 Equity.
| 05/01/2022 |
| 04/20/2024 |
If you would invest 0.00 in Johnson Equity on May 1, 2022 and sell it all today you would earn a total of 0.00 from holding Johnson Equity Income or generate 0.0% return on investment in Johnson Equity over 720 days. Johnson Equity is related to or competes with Johnson Core, Johnson Enhanced, Johnson Institutional, Johnson Institutional, Johnson Institutional, Johnson Institutional, and Johnson Institutional. The fund invests primarily in equity securities of larger-sized U.S More
Johnson Equity 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 Equity'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 Equity Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6305 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 2.56 | |||
| Value At Risk | (1.01) | |||
| Potential Upside | 0.8116 |
Johnson Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Johnson Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Johnson Equity's standard deviation. In reality, there are many statistical measures that can use Johnson Equity historical prices to predict the future Johnson Equity's volatility.| Risk Adjusted Performance | 0.0508 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.046 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Johnson Equity'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 Equity Me Backtested Returns
We consider Johnson Equity very steady. Johnson Equity Me holds Efficiency (Sharpe) Ratio of 0.0462, which attests that the entity had a 0.0462% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Johnson Equity Me, which you can use to evaluate the volatility of the entity. Please check out Johnson Equity's Market Risk Adjusted Performance of 0.056, downside deviation of 0.6305, and Risk Adjusted Performance of 0.0508 to validate if the risk estimate we provide is consistent with the expected return of 0.0254%. The fund retains a Market Volatility (i.e., Beta) of 0.79, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Johnson Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Johnson Equity is expected to be smaller as well.
Auto-correlation | 0.44 |
Average predictability
Johnson Equity Income has average predictability. Overlapping area represents the amount of predictability between Johnson Equity time series from 1st of May 2022 to 26th of April 2023 and 26th of April 2023 to 20th 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 Johnson Equity Me price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Johnson Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.9 |
Johnson Equity Me lagged returns against current returns
Autocorrelation, which is Johnson Equity 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 Johnson Equity's mutual fund expected returns. We can calculate the autocorrelation of Johnson Equity returns to help us make a trade decision. For example, suppose you find that Johnson Equity 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 |
Johnson Equity 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 Johnson Equity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Johnson Equity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Johnson Equity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Johnson Equity Lagged Returns
When evaluating Johnson Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Johnson Equity mutual fund have on its future price. Johnson Equity 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, Johnson Equity autocorrelation shows the relationship between Johnson Equity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Johnson Equity Income.
Regressed Prices |
| Timeline |
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Johnson Equity 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.