Small Cap Value Fund Market Value
JSCCX Fund | USD 16.43 0.01 0.06% |
Symbol | Small |
Small Cap '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 Small Cap'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 Small Cap.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Small Cap on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Small Cap Value or generate 0.0% return on investment in Small Cap over 30 days. Small Cap is related to or competes with Regional Bank, Regional Bank, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, and Multimanager Lifestyle. The fund invests at least 80 percent of its net assets in small-cap companies that are believed to be undervalued by var... More
Small Cap 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 Small Cap'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 Small Cap Value upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.06) | |||
Maximum Drawdown | 5.53 | |||
Value At Risk | (1.57) | |||
Potential Upside | 1.64 |
Small Cap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small Cap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small Cap's standard deviation. In reality, there are many statistical measures that can use Small Cap historical prices to predict the future Small Cap's volatility.Risk Adjusted Performance | 0.0035 | |||
Jensen Alpha | (0.1) | |||
Total Risk Alpha | (0.12) | |||
Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Small Cap'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.
Small Cap Value Backtested Returns
Small Cap Value owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0525, which indicates the fund had a -0.0525% return per unit of risk over the last 3 months. Small Cap Value exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Small Cap's Risk Adjusted Performance of 0.0035, coefficient of variation of (58,713), and Variance of 1.28 to confirm the risk estimate we provide. The entity has a beta of 1.5, which indicates 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, Small Cap will likely underperform.
Auto-correlation | 0.08 |
Virtually no predictability
Small Cap Value has virtually no predictability. Overlapping area represents the amount of predictability between Small Cap time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Small Cap Value price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Small Cap price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.08 | |
Spearman Rank Test | 0.25 | |
Residual Average | 0.0 | |
Price Variance | 0.13 |
Small Cap Value lagged returns against current returns
Autocorrelation, which is Small Cap 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 Small Cap's mutual fund expected returns. We can calculate the autocorrelation of Small Cap returns to help us make a trade decision. For example, suppose you find that Small Cap 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 |
Small Cap 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 Small Cap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Small Cap mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Small Cap mutual fund over time.
Current vs Lagged Prices |
Timeline |
Small Cap Lagged Returns
When evaluating Small Cap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Small Cap mutual fund have on its future price. Small Cap 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, Small Cap autocorrelation shows the relationship between Small Cap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Small Cap Value.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Small Cap Correlation, Small Cap Volatility and Small Cap Alpha and Beta module to complement your research on Small Cap. Note that the Small Cap Value information on this page should be used as a complementary analysis to other Small Cap'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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Small Cap 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.