Timothy Largemip Cap Growth Fund Market Value
TLGCX Fund | USD 8.75 0.03 0.34% |
Symbol | Timothy |
Timothy Largemip-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 Timothy Largemip-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 Timothy Largemip-cap.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Timothy Largemip-cap on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Timothy Largemip Cap Growth or generate 0.0% return on investment in Timothy Largemip-cap over 30 days. Timothy Largemip-cap is related to or competes with Timothy Largemid, Timothy Fixed, Timothy Fixed, Timothy Plan, Timothy Plan, Timothy Israel, and Timothy Plan. The fund primarily invests at least 80 percent of its total assets in larger U.S More
Timothy Largemip-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 Timothy Largemip-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 Timothy Largemip Cap Growth upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.8523 | |||
Information Ratio | 0.0354 | |||
Maximum Drawdown | 3.83 | |||
Value At Risk | (1.43) | |||
Potential Upside | 1.51 |
Timothy Largemip-cap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Timothy Largemip-cap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Timothy Largemip-cap's standard deviation. In reality, there are many statistical measures that can use Timothy Largemip-cap historical prices to predict the future Timothy Largemip-cap's volatility.Risk Adjusted Performance | 0.111 | |||
Jensen Alpha | 0.0187 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | 0.0352 | |||
Treynor Ratio | 0.1414 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Timothy Largemip-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.
Timothy Largemip-cap Backtested Returns
We consider Timothy Largemip-cap not too volatile. Timothy Largemip-cap owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the fund had a 0.19% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Timothy Largemip Cap Growth, which you can use to evaluate the volatility of the fund. Please validate Timothy Largemip-cap's Coefficient Of Variation of 516.5, risk adjusted performance of 0.111, and Semi Deviation of 0.5818 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The entity has a beta of 1.09, which indicates a somewhat significant risk relative to the market. Timothy Largemip-cap returns are very sensitive to returns on the market. As the market goes up or down, Timothy Largemip-cap is expected to follow.
Auto-correlation | 0.47 |
Average predictability
Timothy Largemip Cap Growth has average predictability. Overlapping area represents the amount of predictability between Timothy Largemip-cap time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th 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 Timothy Largemip-cap price movement. The serial correlation of 0.47 indicates that about 47.0% of current Timothy Largemip-cap price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.47 | |
Spearman Rank Test | 0.21 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Timothy Largemip-cap lagged returns against current returns
Autocorrelation, which is Timothy Largemip-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 Timothy Largemip-cap's mutual fund expected returns. We can calculate the autocorrelation of Timothy Largemip-cap returns to help us make a trade decision. For example, suppose you find that Timothy Largemip-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 |
Timothy Largemip-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 Timothy Largemip-cap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Timothy Largemip-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 Timothy Largemip-cap mutual fund over time.
Current vs Lagged Prices |
Timeline |
Timothy Largemip-cap Lagged Returns
When evaluating Timothy Largemip-cap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Timothy Largemip-cap mutual fund have on its future price. Timothy Largemip-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, Timothy Largemip-cap autocorrelation shows the relationship between Timothy Largemip-cap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Timothy Largemip Cap Growth.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Timothy Largemip-cap Correlation, Timothy Largemip-cap Volatility and Timothy Largemip-cap Alpha and Beta module to complement your research on Timothy Largemip-cap. Note that the Timothy Largemip-cap information on this page should be used as a complementary analysis to other Timothy Largemip-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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Timothy Mutual Fund analysis
When running Timothy Largemip-cap's price analysis, check to measure Timothy Largemip-cap'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 Timothy Largemip-cap is operating at the current time. Most of Timothy Largemip-cap's value examination focuses on studying past and present price action to predict the probability of Timothy Largemip-cap's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Timothy Largemip-cap's price. Additionally, you may evaluate how the addition of Timothy Largemip-cap to your portfolios can decrease your overall portfolio volatility.
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Timothy Largemip-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.