Timothy Plan Etf Market Value
| TPLE Etf | USD 27.39 0.26 0.96% |
| Symbol | Timothy |
The market value of Timothy Plan is measured differently than its book value, which is the value of Timothy that is recorded on the company's balance sheet. Investors also form their own opinion of Timothy Plan's value that differs from its market value or its book value, called intrinsic value, which is Timothy Plan's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Timothy Plan's market value can be influenced by many factors that don't directly affect Timothy Plan's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Timothy Plan's value and its price as these two are different measures arrived at by different means. Investors typically determine if Timothy Plan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Timothy Plan's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Timothy Plan '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 Plan's etf 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 Plan.
| 09/02/2023 |
| 11/25/2024 |
If you would invest 0.00 in Timothy Plan on September 2, 2023 and sell it all today you would earn a total of 0.00 from holding Timothy Plan or generate 0.0% return on investment in Timothy Plan over 450 days. Timothy Plan is related to or competes with Vanguard Mid, IShares Core, SPDR SP, First Trust, and Vanguard. The fund seeks to achieve its investment objective by investing, under normal market conditions, at least 80 percent of ... More
Timothy Plan 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 Plan's etf 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 Plan upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7257 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 3.91 | |||
| Value At Risk | (0.96) | |||
| Potential Upside | 1.29 |
Timothy Plan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Timothy Plan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Timothy Plan's standard deviation. In reality, there are many statistical measures that can use Timothy Plan historical prices to predict the future Timothy Plan's volatility.| Risk Adjusted Performance | 0.1284 | |||
| Jensen Alpha | 0.0087 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.1304 |
Timothy Plan Backtested Returns
At this point, Timothy Plan is very steady. Timothy Plan owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of risk over the last 3 months. We have found thirty technical indicators for Timothy Plan , which you can use to evaluate the volatility of the etf. Please validate Timothy Plan's Risk Adjusted Performance of 0.1284, coefficient of variation of 596.83, and Semi Deviation of 0.5184 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The entity has a beta of 0.9, which indicates possible diversification benefits within a given portfolio. Timothy Plan returns are very sensitive to returns on the market. As the market goes up or down, Timothy Plan is expected to follow.
Auto-correlation | 0.83 |
Very good predictability
Timothy Plan has very good predictability. Overlapping area represents the amount of predictability between Timothy Plan time series from 2nd of September 2023 to 14th of April 2024 and 14th of April 2024 to 25th of November 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 Plan price movement. The serial correlation of 0.83 indicates that around 83.0% of current Timothy Plan price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.97 |
Timothy Plan lagged returns against current returns
Autocorrelation, which is Timothy Plan etf'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 Plan's etf expected returns. We can calculate the autocorrelation of Timothy Plan returns to help us make a trade decision. For example, suppose you find that Timothy Plan has exhibited high autocorrelation historically, and you observe that the etf 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 Plan 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 Plan etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Timothy Plan etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Timothy Plan etf over time.
Current vs Lagged Prices |
| Timeline |
Timothy Plan Lagged Returns
When evaluating Timothy Plan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Timothy Plan etf have on its future price. Timothy Plan 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 Plan autocorrelation shows the relationship between Timothy Plan etf current value and its past values and can show if there is a momentum factor associated with investing in Timothy Plan .
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Timothy Plan is a strong investment it is important to analyze Timothy Plan's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Timothy Plan's future performance. For an informed investment choice regarding Timothy Etf, refer to the following important reports:Check out Timothy Plan Correlation, Timothy Plan Volatility and Timothy Plan Alpha and Beta module to complement your research on Timothy Plan. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Timothy Plan technical etf 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, etf market cycles, or different charting patterns.