John Hancock Hedged Etf Market Value

HEQ Etf  USD 11.00  0.03  0.27%   
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 Hedged investors about its performance. John Hancock is selling at 11.00 as of the 26th of November 2024; that is 0.27 percent decrease since the beginning of the trading day. The etf's last reported lowest price was 11.0.
With this module, you can estimate the performance of a buy and hold strategy of John Hancock Hedged 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 Hedged 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
08/28/2024
No Change 0.00  0.0 
In 3 months and 1 day
11/26/2024
0.00
If you would invest  0.00  in John Hancock on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding John Hancock Hedged or generate 0.0% return on investment in John Hancock over 90 days. John Hancock is related to or competes with Ellsworth Convertible, Delaware Investments, RENN Fund, Nuveen New, Miller/howard High, Lmp Capital, and Western Asset. John Hancock Hedged Equity Income Fund is a closed-ended equity mutual fund launched and managed by John Hancock Investm... 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 Hedged 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
10.4411.0111.58
Details
Intrinsic
Valuation
LowRealHigh
10.3810.9511.52
Details

John Hancock Hedged Backtested Returns

Currently, John Hancock Hedged is very steady. John Hancock Hedged holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for John Hancock Hedged, which you can use to evaluate the volatility of the entity. Please check out John Hancock's Downside Deviation of 0.6147, market risk adjusted performance of 0.2021, and Risk Adjusted Performance of 0.0951 to validate if the risk estimate we provide is consistent with the expected return of 0.0624%. The etf retains a Market Volatility (i.e., Beta) of 0.33, 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

    
  -0.5  

Modest reverse predictability

John Hancock Hedged has modest reverse predictability. Overlapping area represents the amount of predictability between John Hancock time series from 28th of August 2024 to 12th of October 2024 and 12th of October 2024 to 26th 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 Hedged price movement. The serial correlation of -0.5 indicates that about 50.0% of current John Hancock price fluctuation can be explain by its past prices.
Correlation Coefficient-0.5
Spearman Rank Test-0.41
Residual Average0.0
Price Variance0.02

John Hancock Hedged 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 Hedged.
   Regressed Prices   
       Timeline  

Pair Trading with John Hancock

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if John Hancock position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in John Hancock will appreciate offsetting losses from the drop in the long position's value.

Moving together with John Etf

  0.62STK Columbia Seligman PremiumPairCorr
  0.62BST BlackRock Science TechPairCorr
The ability to find closely correlated positions to John Hancock could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace John Hancock when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back John Hancock - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling John Hancock Hedged to buy it.
The correlation of John Hancock is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as John Hancock moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if John Hancock Hedged moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for John Hancock can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in John Etf

John Hancock financial ratios help investors to determine whether John Etf 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.