Taylor Frigon Core Fund Market Value
| TFCGX Fund | USD 16.69 0.37 2.27% |
| Symbol | Taylor |
Taylor Frigon '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 Taylor Frigon'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 Taylor Frigon.
| 10/27/2023 |
| 04/24/2024 |
If you would invest 0.00 in Taylor Frigon on October 27, 2023 and sell it all today you would earn a total of 0.00 from holding Taylor Frigon Core or generate 0.0% return on investment in Taylor Frigon over 180 days. Taylor Frigon is related to or competes with Fidelity Advisor, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and T Rowe. The fund normally invests primarily in common stocks of companies of all sizes, including small and micro-capitalization... More
Taylor Frigon 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 Taylor Frigon'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 Taylor Frigon Core upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.7 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 7.59 | |||
| Value At Risk | (2.55) | |||
| Potential Upside | 2.27 |
Taylor Frigon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Taylor Frigon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Taylor Frigon's standard deviation. In reality, there are many statistical measures that can use Taylor Frigon historical prices to predict the future Taylor Frigon's volatility.| Risk Adjusted Performance | 0.0339 | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0312 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Taylor Frigon'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.
Taylor Frigon Core Backtested Returns
We consider Taylor Frigon very steady. Taylor Frigon Core owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0396, which indicates the fund had a 0.0396% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Taylor Frigon Core, which you can use to evaluate the volatility of the fund. Please validate Taylor Frigon's Semi Deviation of 1.65, coefficient of variation of 2230.73, and Risk Adjusted Performance of 0.0339 to confirm if the risk estimate we provide is consistent with the expected return of 0.061%. The entity has a beta of 1.89, 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, Taylor Frigon will likely underperform.
Auto-correlation | 0.41 |
Average predictability
Taylor Frigon Core has average predictability. Overlapping area represents the amount of predictability between Taylor Frigon time series from 27th of October 2023 to 25th of January 2024 and 25th of January 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 Taylor Frigon Core price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Taylor Frigon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Taylor Frigon Core lagged returns against current returns
Autocorrelation, which is Taylor Frigon 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 Taylor Frigon's mutual fund expected returns. We can calculate the autocorrelation of Taylor Frigon returns to help us make a trade decision. For example, suppose you find that Taylor Frigon 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 |
Taylor Frigon 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 Taylor Frigon mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Taylor Frigon mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Taylor Frigon mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Taylor Frigon Lagged Returns
When evaluating Taylor Frigon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Taylor Frigon mutual fund have on its future price. Taylor Frigon 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, Taylor Frigon autocorrelation shows the relationship between Taylor Frigon mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Taylor Frigon Core.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Taylor Frigon Correlation, Taylor Frigon Volatility and Taylor Frigon Alpha and Beta module to complement your research on Taylor Frigon. Note that the Taylor Frigon Core information on this page should be used as a complementary analysis to other Taylor Frigon'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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Taylor Frigon 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.