Perkins Small Cap Fund Market Value
| JCSCX Fund | USD 22.26 0.28 1.27% |
| Symbol | Perkins |
Perkins Small '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 Perkins Small'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 Perkins Small.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Perkins Small on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Perkins Small Cap or generate 0.0% return on investment in Perkins Small over 30 days. Perkins Small is related to or competes with Perkins Mid, Janus Overseas, Perkins Small, Janus Forty, and Janus Enterprise. The fund pursues its investment objective by investing primarily in the common stocks of small companies whose stock pri... More
Perkins Small 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 Perkins Small'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 Perkins Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.12 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 4.85 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.49 |
Perkins Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Perkins Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Perkins Small's standard deviation. In reality, there are many statistical measures that can use Perkins Small historical prices to predict the future Perkins Small's volatility.| Risk Adjusted Performance | 0.0361 | |||
| Jensen Alpha | 0.0409 | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 1.76 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Perkins Small'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.
Perkins Small Cap Backtested Returns
We consider Perkins Small out of control. Perkins Small Cap maintains Sharpe Ratio (i.e., Efficiency) of 0.0515, which implies the entity had a 0.0515% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Perkins Small Cap, which you can use to evaluate the volatility of the fund. Please check Perkins Small's Semi Deviation of 0.9826, coefficient of variation of 1941.71, and Risk Adjusted Performance of 0.0361 to confirm if the risk estimate we provide is consistent with the expected return of 0.053%. The fund holds a Beta of 0.0244, which implies not very significant fluctuations relative to the market. As returns on the market increase, Perkins Small's returns are expected to increase less than the market. However, during the bear market, the loss of holding Perkins Small is expected to be smaller as well.
Auto-correlation | -0.21 |
Weak reverse predictability
Perkins Small Cap has weak reverse predictability. Overlapping area represents the amount of predictability between Perkins Small time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Perkins Small Cap price movement. The serial correlation of -0.21 indicates that over 21.0% of current Perkins Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Perkins Small Cap lagged returns against current returns
Autocorrelation, which is Perkins Small 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 Perkins Small's mutual fund expected returns. We can calculate the autocorrelation of Perkins Small returns to help us make a trade decision. For example, suppose you find that Perkins Small 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 |
Perkins Small 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 Perkins Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Perkins Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Perkins Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Perkins Small Lagged Returns
When evaluating Perkins Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Perkins Small mutual fund have on its future price. Perkins Small 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, Perkins Small autocorrelation shows the relationship between Perkins Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Perkins Small Cap.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Perkins Small in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Perkins Small's short interest history, or implied volatility extrapolated from Perkins Small options trading.
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Try AI Portfolio ArchitectCheck out Perkins Small Correlation, Perkins Small Volatility and Perkins Small Alpha and Beta module to complement your research on Perkins Small. Note that the Perkins Small Cap information on this page should be used as a complementary analysis to other Perkins Small'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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Perkins Small 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.