John Hancock Multifactor Etf Market Value
| JHMD Etf | USD 33.51 0.38 1.15% |
| Symbol | John |
The market value of John Hancock Multifactor is measured differently than its book value, which is the value of John that is recorded on the company's balance sheet. Investors also form their own opinion of John Hancock's value that differs from its market value or its book value, called intrinsic value, which is John Hancock's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because John Hancock's market value can be influenced by many factors that don't directly affect John Hancock's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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 etf 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.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in John Hancock on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding John Hancock Multifactor or generate 0.0% return on investment in John Hancock over 90 days. John Hancock is related to or competes with IShares Core, IShares Core, IShares Core, IShares Core, and IShares Core. The fund normally invests at least 80 percent of its net assets in securities included in the funds index, in depositary... 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 etf 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 Multifactor upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 3.69 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 1.34 |
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 | (0.05) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.17) |
John Hancock Multifactor Backtested Returns
John Hancock Multifactor holds Efficiency (Sharpe) Ratio of -0.0559, which attests that the entity had a -0.0559% return per unit of risk over the last 3 months. John Hancock Multifactor exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out John Hancock's Standard Deviation of 0.8353, market risk adjusted performance of (0.16), and Risk Adjusted Performance of (0.05) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.4, 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 | -0.43 |
Modest reverse predictability
John Hancock Multifactor has modest reverse predictability. Overlapping area represents the amount of predictability between John Hancock time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd 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 Multifactor price movement. The serial correlation of -0.43 indicates that just about 43.0% of current John Hancock price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
John Hancock Multifactor lagged returns against current returns
Autocorrelation, which is John Hancock etf'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 etf 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 etf 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if John Hancock etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in John Hancock etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in John Hancock Multifactor.
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.When determining whether John Hancock Multifactor offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of John Hancock's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of John Hancock Multifactor Etf. Outlined below are crucial reports that will aid in making a well-informed decision on John Hancock Multifactor Etf:Check out John Hancock Correlation, John Hancock Volatility and John Hancock Alpha and Beta module to complement your research on John Hancock. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
John Hancock technical etf 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, etf market cycles, or different charting patterns.