Schwartz Value Focused Fund Market Value
| RCMFX Fund | USD 46.14 0.82 1.75% |
| Symbol | Schwartz |
Schwartz Value '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 Schwartz Value'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 Schwartz Value.
| 10/19/2023 |
| 04/16/2024 |
If you would invest 0.00 in Schwartz Value on October 19, 2023 and sell it all today you would earn a total of 0.00 from holding Schwartz Value Focused or generate 0.0% return on investment in Schwartz Value over 180 days. Schwartz Value is related to or competes with Kinetics Small, Ave Maria, Kinetics Market, Ave Maria, and Kinetics Paradigm. The fund invests at least 80 percent of its net assets, including the amount of any borrowings for investment purposes, ... More
Schwartz Value 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 Schwartz Value'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 Schwartz Value Focused upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9847 | |||
| Information Ratio | 0.0816 | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.32 |
Schwartz Value Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwartz Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwartz Value's standard deviation. In reality, there are many statistical measures that can use Schwartz Value historical prices to predict the future Schwartz Value's volatility.| Risk Adjusted Performance | 0.0987 | |||
| Jensen Alpha | 0.0698 | |||
| Total Risk Alpha | 0.0505 | |||
| Sortino Ratio | 0.0729 | |||
| Treynor Ratio | 0.1201 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schwartz Value'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.
Schwartz Value Focused Backtested Returns
We consider Schwartz Value very steady. Schwartz Value Focused owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the fund had a 0.21% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Schwartz Value Focused, which you can use to evaluate the volatility of the fund. Please validate Schwartz Value's Semi Deviation of 0.8351, coefficient of variation of 654.36, and Risk Adjusted Performance of 0.0987 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The entity has a beta of 1.04, which indicates a somewhat significant risk relative to the market. Schwartz Value returns are very sensitive to returns on the market. As the market goes up or down, Schwartz Value is expected to follow.
Auto-correlation | 0.05 |
Virtually no predictability
Schwartz Value Focused has virtually no predictability. Overlapping area represents the amount of predictability between Schwartz Value time series from 19th of October 2023 to 17th of January 2024 and 17th of January 2024 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 Schwartz Value Focused price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Schwartz Value price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 3.37 |
Schwartz Value Focused lagged returns against current returns
Autocorrelation, which is Schwartz Value 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 Schwartz Value's mutual fund expected returns. We can calculate the autocorrelation of Schwartz Value returns to help us make a trade decision. For example, suppose you find that Schwartz Value 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 |
Schwartz Value 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 Schwartz Value mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwartz Value mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwartz Value mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Schwartz Value Lagged Returns
When evaluating Schwartz Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwartz Value mutual fund have on its future price. Schwartz Value 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, Schwartz Value autocorrelation shows the relationship between Schwartz Value mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Schwartz Value Focused.
Regressed Prices |
| Timeline |
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Check out Schwartz Value Correlation, Schwartz Value Volatility and Schwartz Value Alpha and Beta module to complement your research on Schwartz Value. Note that the Schwartz Value Focused information on this page should be used as a complementary analysis to other Schwartz Value'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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Schwartz Value 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.