Yorktown Small Cap Fund Market Value
| YOVAX Fund | USD 15.26 0.16 1.04% |
| Symbol | Yorktown |
Yorktown 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 Yorktown 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 Yorktown Small-cap.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in Yorktown Small-cap on April 27, 2022 and sell it all today you would earn a total of 0.00 from holding Yorktown Small Cap Fund or generate 0.0% return on investment in Yorktown Small-cap over 720 days. Yorktown Small-cap is related to or competes with Api Growth, Api Short, Api Multi-asset, Api Growth, Api Short, Api Multi-asset, and Api Multi-asset. The fund seeks to achieve its investment objective by investing in U.S More
Yorktown 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 Yorktown 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 Yorktown Small Cap Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0254 | |||
| Maximum Drawdown | 4.66 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 1.79 |
Yorktown Small-cap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Yorktown Small-cap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Yorktown Small-cap's standard deviation. In reality, there are many statistical measures that can use Yorktown Small-cap historical prices to predict the future Yorktown Small-cap's volatility.| Risk Adjusted Performance | 0.0539 | |||
| Jensen Alpha | 0.0068 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0259 | |||
| Treynor Ratio | 0.0574 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Yorktown 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.
Yorktown Small Cap Backtested Returns
We consider Yorktown Small-cap very steady. Yorktown Small Cap shows Sharpe Ratio of 0.0953, which attests that the fund had a 0.0953% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Yorktown Small Cap, which you can use to evaluate the volatility of the fund. Please check out Yorktown Small-cap's Downside Deviation of 1.16, mean deviation of 0.9628, and Market Risk Adjusted Performance of 0.0674 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The entity maintains a market beta of 1.44, 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, Yorktown Small-cap will likely underperform.
Auto-correlation | 0.18 |
Very weak predictability
Yorktown Small Cap Fund has very weak predictability. Overlapping area represents the amount of predictability between Yorktown Small-cap time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th 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 Yorktown Small Cap price movement. The serial correlation of 0.18 indicates that over 18.0% of current Yorktown Small-cap price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.75 |
Yorktown Small Cap lagged returns against current returns
Autocorrelation, which is Yorktown 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 Yorktown Small-cap's mutual fund expected returns. We can calculate the autocorrelation of Yorktown Small-cap returns to help us make a trade decision. For example, suppose you find that Yorktown 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 |
Yorktown 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 Yorktown Small-cap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Yorktown 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 Yorktown Small-cap mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Yorktown Small-cap Lagged Returns
When evaluating Yorktown Small-cap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Yorktown Small-cap mutual fund have on its future price. Yorktown 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, Yorktown Small-cap autocorrelation shows the relationship between Yorktown Small-cap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Yorktown Small Cap Fund.
Regressed Prices |
| Timeline |
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Check out Yorktown Small-cap Correlation, Yorktown Small-cap Volatility and Yorktown Small-cap Alpha and Beta module to complement your research on Yorktown Small-cap. Note that the Yorktown Small Cap information on this page should be used as a complementary analysis to other Yorktown 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Yorktown 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.