John Hancock Exchange Etf Market Value

JHDV Etf  USD 37.57  0.14  0.37%   
John Hancock's market value is the price at which a share of John Hancock trades on a public exchange. It measures the collective expectations of John Hancock Exchange investors about its performance. John Hancock is selling for under 37.57 as of the 24th of November 2024; that is 0.37 percent increase since the beginning of the trading day. The etf's lowest day price was 37.57.
With this module, you can estimate the performance of a buy and hold strategy of John Hancock Exchange and determine expected loss or profit from investing in John Hancock over a given investment horizon. Check out John Hancock Correlation, John Hancock Volatility and John Hancock Alpha and Beta module to complement your research on John Hancock.
Symbol

The market value of John Hancock Exchange 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.
0.00
10/25/2024
No Change 0.00  0.0 
In 31 days
11/24/2024
0.00
If you would invest  0.00  in John Hancock on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding John Hancock Exchange or generate 0.0% return on investment in John Hancock over 30 days. John Hancock is related to or competes with Listed Funds, and Altrius Global. Under normal market conditions, the fund invests at least 80 percent of its net assets in dividend-paying U.S 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 Exchange upside and downside potential and time the market with a certain degree of confidence.

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.
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.
Hype
Prediction
LowEstimatedHigh
36.8837.5838.28
Details
Intrinsic
Valuation
LowRealHigh
36.4437.1437.84
Details
Naive
Forecast
LowNextHigh
36.8137.5138.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
37.3937.5237.66
Details

John Hancock Exchange Backtested Returns

At this stage we consider John Etf to be very steady. John Hancock Exchange holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for John Hancock Exchange, which you can use to evaluate the volatility of the entity. Please check out John Hancock's Downside Deviation of 0.7095, risk adjusted performance of 0.1251, and Market Risk Adjusted Performance of 0.1489 to validate if the risk estimate we provide is consistent with the expected return of 0.0992%. The etf retains a Market Volatility (i.e., Beta) of 0.78, 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

    
  0.92  

Excellent predictability

John Hancock Exchange has excellent predictability. Overlapping area represents the amount of predictability between John Hancock time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th of November 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 Exchange price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current John Hancock price fluctuation can be explain by its past prices.
Correlation Coefficient0.92
Spearman Rank Test0.93
Residual Average0.0
Price Variance0.06

John Hancock Exchange 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 Exchange.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether John Hancock Exchange is a strong investment it is important to analyze John Hancock's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact John Hancock's future performance. For an informed investment choice regarding John Etf, refer to the following important reports:
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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.
A focus of John Hancock technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of John Hancock trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...