Johnson Institutional Short Fund Market Value
| JIBDX Fund | USD 14.89 0.01 0.07% |
| Symbol | Johnson |
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.
| 12/15/2022 |
| 12/04/2024 |
If you would invest 0.00 in Johnson Institutional on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding Johnson Institutional Short or generate 0.0% return on investment in Johnson Institutional over 720 days. Johnson Institutional is related to or competes with Johnson Core, Johnson Enhanced, Johnson Equity, Johnson Equity, Johnson Mutual, Johnson Institutional, and Johnson Institutional. 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 Short upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.125 | |||
| Information Ratio | (1.01) | |||
| Maximum Drawdown | 0.5376 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.2017 |
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 | (0.03) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.87) | |||
| Treynor Ratio | (0.31) |
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 Backtested Returns
Johnson Institutional holds Efficiency (Sharpe) Ratio of -0.0096, which attests that the entity had a -0.0096% return per unit of risk over the last 3 months. Johnson Institutional exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Johnson Institutional's Market Risk Adjusted Performance of (0.30), risk adjusted performance of (0.03), and Downside Deviation of 0.125 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.019, 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 | 0.69 |
Good predictability
Johnson Institutional Short has good predictability. Overlapping area represents the amount of predictability between Johnson Institutional time series from 15th of December 2022 to 10th of December 2023 and 10th of December 2023 to 4th 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 Johnson Institutional price movement. The serial correlation of 0.69 indicates that around 69.0% of current Johnson Institutional price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Johnson Institutional lagged returns against current returns
Autocorrelation, which is Johnson Institutional 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 Institutional's mutual fund expected returns. We can calculate the autocorrelation of Johnson Institutional returns to help us make a trade decision. For example, suppose you find that Johnson Institutional 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 Institutional 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 Institutional mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Johnson Institutional 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 Institutional mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Johnson Institutional Lagged Returns
When evaluating Johnson Institutional's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Johnson Institutional mutual fund have on its future price. Johnson Institutional 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 Institutional autocorrelation shows the relationship between Johnson Institutional mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Johnson Institutional Short.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.
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