John Hancock Small Fund Market Value
JCCAX Fund | USD 16.26 0.10 0.62% |
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 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.
02/28/2024 |
| 03/29/2024 |
If you would invest 0.00 in John Hancock on February 28, 2024 and sell it all today you would earn a total of 0.00 from holding John Hancock Small or generate 0.0% return on investment in John Hancock over 30 days. John Hancock is related to or competes with Semiconductor Ultrasector, T Rowe, Artisan Thematic, Commodities Strategy, Eic Value, and Vanguard Target. Under normal market conditions, the fund invests at least 80 percent of its net assets in equity securities of small-cap... 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 Small upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.06 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 4.7 | |||
Value At Risk | (1.51) | |||
Potential Upside | 1.72 |
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 | 0.0507 | |||
Jensen Alpha | 0.087 | |||
Total Risk Alpha | (0.16) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | (1.28) |
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 Small Backtested Returns
We consider John Hancock very steady. John Hancock Small holds Efficiency (Sharpe) Ratio of 0.0826, which attests that the entity had a 0.0826% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for John Hancock Small, which you can use to evaluate the volatility of the entity. Please check out John Hancock's Downside Deviation of 1.06, market risk adjusted performance of (1.27), and Risk Adjusted Performance of 0.0507 to validate if the risk estimate we provide is consistent with the expected return of 0.0893%. The fund retains a Market Volatility (i.e., Beta) of -0.0619, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning John Hancock are expected to decrease at a much lower rate. During the bear market, John Hancock is likely to outperform the market.
Auto-correlation | -0.25 |
Weak reverse predictability
John Hancock Small has weak reverse predictability. Overlapping area represents the amount of predictability between John Hancock time series from 28th of February 2024 to 14th of March 2024 and 14th of March 2024 to 29th of March 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 Small price movement. The serial correlation of -0.25 indicates that over 25.0% of current John Hancock price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.25 | |
Spearman Rank Test | 0.22 | |
Residual Average | 0.0 | |
Price Variance | 0.06 |
John Hancock Small 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 Small.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out John Hancock Correlation, John Hancock Volatility and John Hancock Alpha and Beta module to complement your research on John Hancock. Note that the John Hancock Small information on this page should be used as a complementary analysis to other John Hancock's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary Tools for John Mutual Fund analysis
When running John Hancock's price analysis, check to measure John Hancock's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy John Hancock is operating at the current time. Most of John Hancock's value examination focuses on studying past and present price action to predict the probability of John Hancock's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move John Hancock's price. Additionally, you may evaluate how the addition of John Hancock to your portfolios can decrease your overall portfolio volatility.
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John Hancock technical mutual fund 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, fund market cycles, or different charting patterns.