Short Term Investment Trust Fund Market Value
| TSPXX Fund | USD 1.00 0.00 0.00% |
| Symbol | Short |
Please note, there is a significant difference between Short Term's value and its price as these two are different measures arrived at by different means. Investors typically determine if Short Term is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Short Term'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.
Short Term '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 Short Term's money market 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 Short Term.
| 11/17/2024 |
| 12/17/2024 |
If you would invest 0.00 in Short Term on November 17, 2024 and sell it all today you would earn a total of 0.00 from holding Short Term Investment Trust or generate 0.0% return on investment in Short Term over 30 days. Short Term is related to or competes with Vanguard Total, Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, and Vanguard 500. Short Term is entity of United States. It is traded as Fund on NMFQS exchange. More
Short Term 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 Short Term's money market 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 Short Term Investment Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.56) | |||
| Maximum Drawdown | 1.01 |
Short Term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Term's standard deviation. In reality, there are many statistical measures that can use Short Term historical prices to predict the future Short Term's volatility.| Risk Adjusted Performance | 0.0408 | |||
| Jensen Alpha | 0.0064 | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | (0.36) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Short Term'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.
Short Term Investment Backtested Returns
At this stage we consider Short Money Market Fund to be not too volatile. Short Term Investment owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the fund had a 0.13% return per unit of risk over the last 3 months. We have found sixteen technical indicators for Short Term Investment Trust, which you can use to evaluate the volatility of the fund. Please validate Short Term's Coefficient Of Variation of 812.4, risk adjusted performance of 0.0408, and Variance of 0.0155 to confirm if the risk estimate we provide is consistent with the expected return of 0.016%. The entity has a beta of -0.0147, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Short Term are expected to decrease at a much lower rate. During the bear market, Short Term is likely to outperform the market.
Auto-correlation | 0.00 |
No correlation between past and present
Short Term Investment Trust has no correlation between past and present. Overlapping area represents the amount of predictability between Short Term time series from 17th of November 2024 to 2nd of December 2024 and 2nd of December 2024 to 17th of December 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 Short Term Investment price movement. The serial correlation of 0.0 indicates that just 0.0% of current Short Term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Term Investment lagged returns against current returns
Autocorrelation, which is Short Term money market 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 Short Term's money market fund expected returns. We can calculate the autocorrelation of Short Term returns to help us make a trade decision. For example, suppose you find that Short Term has exhibited high autocorrelation historically, and you observe that the money market 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 |
Short Term 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 Short Term money market fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short Term money market fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Short Term money market fund over time.
Current vs Lagged Prices |
| Timeline |
Short Term Lagged Returns
When evaluating Short Term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short Term money market fund have on its future price. Short Term 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, Short Term autocorrelation shows the relationship between Short Term money market fund current value and its past values and can show if there is a momentum factor associated with investing in Short Term Investment Trust.
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.Other Information on Investing in Short Money Market Fund
Short Term financial ratios help investors to determine whether Short Money Market Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Short with respect to the benefits of owning Short Term security.
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