Total Market Portfolio Fund Market Value

GTTMX Fund  USD 21.47  0.24  1.13%   
Total Market's market value is the price at which a share of Total Market trades on a public exchange. It measures the collective expectations of Total Market Portfolio investors about its performance. Total Market is trading at 21.47 as of the 23rd of November 2024; that is 1.13% increase since the beginning of the trading day. The fund's open price was 21.23.
With this module, you can estimate the performance of a buy and hold strategy of Total Market Portfolio and determine expected loss or profit from investing in Total Market over a given investment horizon. Check out Total Market Correlation, Total Market Volatility and Total Market Alpha and Beta module to complement your research on Total Market.
Symbol

Please note, there is a significant difference between Total Market's value and its price as these two are different measures arrived at by different means. Investors typically determine if Total Market is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Total Market'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.

Total Market '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 Total Market'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 Total Market.
0.00
12/29/2023
No Change 0.00  0.0 
In 10 months and 27 days
11/23/2024
0.00
If you would invest  0.00  in Total Market on December 29, 2023 and sell it all today you would earn a total of 0.00 from holding Total Market Portfolio or generate 0.0% return on investment in Total Market over 330 days. Total Market is related to or competes with Edgewood Growth, Johcm International, Doubleline Shiller, and Eventide Gilead. The fund invests at least 80 percent of the value of its net assets in long and short positions with respect to equity s... More

Total Market 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 Total Market'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 Total Market Portfolio upside and downside potential and time the market with a certain degree of confidence.

Total Market Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Total Market's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Total Market's standard deviation. In reality, there are many statistical measures that can use Total Market historical prices to predict the future Total Market's volatility.
Hype
Prediction
LowEstimatedHigh
20.5121.4722.43
Details
Intrinsic
Valuation
LowRealHigh
20.2421.2022.16
Details
Naive
Forecast
LowNextHigh
19.8620.8221.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.7021.1921.68
Details

Total Market Portfolio Backtested Returns

At this stage we consider Total Mutual Fund to be very steady. Total Market Portfolio owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Total Market Portfolio, which you can use to evaluate the volatility of the fund. Please validate Total Market's Risk Adjusted Performance of 0.1075, semi deviation of 0.6567, and Coefficient Of Variation of 727.65 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The entity has a beta of 1.08, which indicates a somewhat significant risk relative to the market. Total Market returns are very sensitive to returns on the market. As the market goes up or down, Total Market is expected to follow.

Auto-correlation

    
  0.37  

Below average predictability

Total Market Portfolio has below average predictability. Overlapping area represents the amount of predictability between Total Market time series from 29th of December 2023 to 11th of June 2024 and 11th of June 2024 to 23rd 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 Total Market Portfolio price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Total Market price fluctuation can be explain by its past prices.
Correlation Coefficient0.37
Spearman Rank Test0.53
Residual Average0.0
Price Variance0.45

Total Market Portfolio lagged returns against current returns

Autocorrelation, which is Total Market 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 Total Market's mutual fund expected returns. We can calculate the autocorrelation of Total Market returns to help us make a trade decision. For example, suppose you find that Total Market 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  

Total Market 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 Total Market mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Total Market mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Total Market mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Total Market Lagged Returns

When evaluating Total Market's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Total Market mutual fund have on its future price. Total Market 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, Total Market autocorrelation shows the relationship between Total Market mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Total Market Portfolio.
   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 Total Mutual Fund

Total Market financial ratios help investors to determine whether Total Mutual 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 Total with respect to the benefits of owning Total Market security.
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas