John Hancock Variable Fund Market Value
| JFIVX Fund | USD 62.52 0.34 0.54% |
| Symbol | John |
John Hancock '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 John Hancock'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 John Hancock.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in John Hancock on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding John Hancock Variable or generate 0.0% return on investment in John Hancock over 720 days. John Hancock is related to or competes with Regional Bank, Regional Bank, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, and Multimanager Lifestyle. The investment seeks a high level of current income More
John Hancock 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 John Hancock'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 John Hancock Variable upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6533 | |||
| Information Ratio | 0.0364 | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.9704 |
John Hancock Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for John Hancock's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as John Hancock's standard deviation. In reality, there are many statistical measures that can use John Hancock historical prices to predict the future John Hancock's volatility.| Risk Adjusted Performance | 0.148 | |||
| Jensen Alpha | 0.0505 | |||
| Total Risk Alpha | 0.033 | |||
| Sortino Ratio | 0.037 | |||
| Treynor Ratio | 0.1699 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of John Hancock'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.
John Hancock Variable Backtested Returns
At this stage we consider John Mutual Fund to be very steady. John Hancock Variable holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for John Hancock Variable, which you can use to evaluate the volatility of the entity. Please check out John Hancock's Market Risk Adjusted Performance of 0.1799, downside deviation of 0.6533, and Risk Adjusted Performance of 0.148 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. The fund retains a Market Volatility (i.e., Beta) of 0.74, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, John Hancock's returns are expected to increase less than the market. However, during the bear market, the loss of holding John Hancock is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
John Hancock Variable has very good predictability. Overlapping area represents the amount of predictability between John Hancock time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th 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 John Hancock Variable price movement. The serial correlation of 0.83 indicates that around 83.0% of current John Hancock price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 15.34 |
John Hancock Variable lagged returns against current returns
Autocorrelation, which is John Hancock 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 John Hancock's mutual fund expected returns. We can calculate the autocorrelation of John Hancock returns to help us make a trade decision. For example, suppose you find that John Hancock 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 |
John Hancock 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 John Hancock mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if John Hancock mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in John Hancock mutual fund over time.
Current vs Lagged Prices |
| Timeline |
John Hancock Lagged Returns
When evaluating John Hancock's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of John Hancock mutual fund have on its future price. John Hancock 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, John Hancock autocorrelation shows the relationship between John Hancock mutual fund current value and its past values and can show if there is a momentum factor associated with investing in John Hancock Variable.
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 John Mutual Fund
John Hancock financial ratios help investors to determine whether John 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 John with respect to the benefits of owning John Hancock security.
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