John Hancock Variable Fund Market Value
| JAHQX Fund | USD 18.45 0.16 0.86% |
| Symbol | John |
Please note, there is a significant difference between John Hancock's value and its price as these two are different measures arrived at by different means. Investors typically determine if John Hancock is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, John Hancock's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 07/02/2024 |
| 12/29/2024 |
If you would invest 0.00 in John Hancock on July 2, 2024 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 180 days. John Hancock is related to or competes with Vanguard Total, Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, and Vanguard 500. John Hancock is entity of United States. It is traded as Fund on NMFQS exchange. 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 | 0.8716 | |||
| Information Ratio | 0.0467 | |||
| Maximum Drawdown | 5.36 | |||
| Value At Risk | (0.89) | |||
| Potential Upside | 0.9621 |
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 | 0.0714 | |||
| Jensen Alpha | 0.0548 | |||
| Total Risk Alpha | 0.036 | |||
| Sortino Ratio | 0.0392 | |||
| Treynor Ratio | 0.7932 |
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 0.0794, which attests that the entity had a 0.0794% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for John Hancock Variable, which you can use to evaluate the volatility of the entity. Please check out John Hancock's Downside Deviation of 0.8716, risk adjusted performance of 0.0714, and Market Risk Adjusted Performance of 0.8032 to validate if the risk estimate we provide is consistent with the expected return of 0.0588%. The fund retains a Market Volatility (i.e., Beta) of 0.0711, which attests to not very significant fluctuations relative to the market. 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 | 0.48 |
Average predictability
John Hancock Variable has average predictability. Overlapping area represents the amount of predictability between John Hancock time series from 2nd of July 2024 to 30th of September 2024 and 30th of September 2024 to 29th 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 0.48 indicates that about 48.0% of current John Hancock price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
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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