Litman Gregory Funds Etf Market Value

PCCE Etf   11.03  0.30  2.65%   
Litman Gregory's market value is the price at which a share of Litman Gregory trades on a public exchange. It measures the collective expectations of Litman Gregory Funds investors about its performance. Litman Gregory is trading at 11.03 as of the 23rd of November 2024, a 2.65 percent down since the beginning of the trading day. The etf's lowest day price was 11.03.
With this module, you can estimate the performance of a buy and hold strategy of Litman Gregory Funds and determine expected loss or profit from investing in Litman Gregory over a given investment horizon. Check out Litman Gregory Correlation, Litman Gregory Volatility and Litman Gregory Alpha and Beta module to complement your research on Litman Gregory.
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The market value of Litman Gregory Funds is measured differently than its book value, which is the value of Litman that is recorded on the company's balance sheet. Investors also form their own opinion of Litman Gregory's value that differs from its market value or its book value, called intrinsic value, which is Litman Gregory'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 Litman Gregory's market value can be influenced by many factors that don't directly affect Litman Gregory'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 Litman Gregory's value and its price as these two are different measures arrived at by different means. Investors typically determine if Litman Gregory is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Litman Gregory'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.

Litman Gregory '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 Litman Gregory'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 Litman Gregory.
0.00
12/04/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
11/23/2024
0.00
If you would invest  0.00  in Litman Gregory on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Litman Gregory Funds or generate 0.0% return on investment in Litman Gregory over 720 days. Litman Gregory is related to or competes with Freedom Day, Davis Select, IShares MSCI, SmartETFs Dividend, Listed Funds, IShares MSCI, and Principal Value. Litman Gregory is entity of United States More

Litman Gregory 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 Litman Gregory'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 Litman Gregory Funds upside and downside potential and time the market with a certain degree of confidence.

Litman Gregory Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Litman Gregory's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Litman Gregory's standard deviation. In reality, there are many statistical measures that can use Litman Gregory historical prices to predict the future Litman Gregory's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Litman Gregory'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.
Hype
Prediction
LowEstimatedHigh
8.0110.9613.91
Details
Intrinsic
Valuation
LowRealHigh
8.2411.1914.14
Details
Naive
Forecast
LowNextHigh
7.5610.5113.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.9411.2411.54
Details

Litman Gregory Funds Backtested Returns

Litman Gregory appears to be somewhat reliable, given 3 months investment horizon. Litman Gregory Funds has Sharpe Ratio of 0.097, which conveys that the entity had a 0.097% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Litman Gregory, which you can use to evaluate the volatility of the etf. Please exercise Litman Gregory's Mean Deviation of 1.9, downside deviation of 2.92, and Risk Adjusted Performance of 0.0836 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.22, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Litman Gregory's returns are expected to increase less than the market. However, during the bear market, the loss of holding Litman Gregory is expected to be smaller as well.

Auto-correlation

    
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No correlation between past and present

Litman Gregory Funds has no correlation between past and present. Overlapping area represents the amount of predictability between Litman Gregory time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 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 Litman Gregory Funds price movement. The serial correlation of 0.0 indicates that just 0.0% of current Litman Gregory price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

Litman Gregory Funds lagged returns against current returns

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

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

Litman Gregory Lagged Returns

When evaluating Litman Gregory's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Litman Gregory etf have on its future price. Litman Gregory 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, Litman Gregory autocorrelation shows the relationship between Litman Gregory etf current value and its past values and can show if there is a momentum factor associated with investing in Litman Gregory Funds.
   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 Litman Gregory Funds is a strong investment it is important to analyze Litman Gregory'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 Litman Gregory's future performance. For an informed investment choice regarding Litman Etf, refer to the following important reports:
Check out Litman Gregory Correlation, Litman Gregory Volatility and Litman Gregory Alpha and Beta module to complement your research on Litman Gregory.
You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Litman Gregory 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.
A focus of Litman Gregory technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Litman Gregory trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...