John Hancock Financial Fund Market Value
| BTO Fund | USD 39.20 0.20 0.51% |
| 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 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.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in John Hancock on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding John Hancock Financial or generate 0.0% return on investment in John Hancock over 30 days. John Hancock is related to or competes with Tekla Life, Tekla World, Tekla Healthcare, Royce Value, Cohen Steers, Cohen, and Cohen Steers. John Hancock Financial Opportunities Fund is a closed-ended equity mutual fund launched and managed by John Hancock Inve... 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 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 Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | 0.1135 | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.88 |
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 | 0.1573 | |||
| Jensen Alpha | 0.1109 | |||
| Total Risk Alpha | 0.0623 | |||
| Sortino Ratio | 0.1521 | |||
| Treynor Ratio | 0.1902 |
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 Financial Backtested Returns
John Hancock appears to be very steady, given 3 months investment horizon. John Hancock Financial holds Efficiency (Sharpe) Ratio of 0.22, which attests that the entity had a 0.22% return per unit of risk over the last 3 months. We have found thirty technical indicators for John Hancock Financial, which you can use to evaluate the volatility of the entity. Please utilize John Hancock's Downside Deviation of 1.08, risk adjusted performance of 0.1573, and Market Risk Adjusted Performance of 0.2002 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 1.46, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, John Hancock will likely underperform.
Auto-correlation | 0.81 |
Very good predictability
John Hancock Financial has very good predictability. Overlapping area represents the amount of predictability between John Hancock time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 Financial price movement. The serial correlation of 0.81 indicates that around 81.0% of current John Hancock price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.5 |
John Hancock Financial lagged returns against current returns
Autocorrelation, which is John Hancock 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 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 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 fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if John Hancock 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 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 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 fund current value and its past values and can show if there is a momentum factor associated with investing in John Hancock Financial.
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 Fund
Moving against John Fund
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 Financial 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 Financial 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.Other Information on Investing in John Fund
John Hancock financial ratios help investors to determine whether John 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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