Litman Gregory Funds Etf Market Value
| PCGG Etf | 10.69 0.00 0.00% |
| Symbol | Litman |
Investors evaluate Litman Gregory Funds using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Litman Gregory's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Litman Gregory's market price to deviate significantly from intrinsic value.
It's important to distinguish between Litman Gregory's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Litman Gregory should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Litman Gregory's market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/26/2025 |
| 02/24/2026 |
If you would invest 0.00 in Litman Gregory on November 26, 2025 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 90 days. Litman Gregory is related to or competes with Goldman Sachs, Exchange Traded, ARS Focused, First Trust, VanEck Morningstar, Global X, and Innovator. 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.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 4.66 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 1.18 |
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.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.7409 |
Litman Gregory February 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.10) | |||
| Market Risk Adjusted Performance | 0.7509 | |||
| Mean Deviation | 0.7293 | |||
| Coefficient Of Variation | (754.50) | |||
| Standard Deviation | 0.9442 | |||
| Variance | 0.8916 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.7409 | |||
| Maximum Drawdown | 4.66 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 1.18 | |||
| Skewness | (0.77) | |||
| Kurtosis | 0.9274 |
Litman Gregory Funds Backtested Returns
Litman Gregory Funds has Sharpe Ratio of -0.2, which conveys that the entity had a -0.2 % return per unit of risk over the last 3 months. Litman Gregory exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Litman Gregory's Standard Deviation of 0.9442, mean deviation of 0.7293, and Risk Adjusted Performance of (0.10) to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of -0.18, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Litman Gregory are expected to decrease at a much lower rate. During the bear market, Litman Gregory is likely to outperform the market.
Auto-correlation | -0.37 |
Poor reverse predictability
Litman Gregory Funds has poor reverse predictability. Overlapping area represents the amount of predictability between Litman Gregory time series from 26th of November 2025 to 10th of January 2026 and 10th of January 2026 to 24th of February 2026. 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 -0.37 indicates that just about 37.0% of current Litman Gregory price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
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Check out Litman Gregory Correlation, Litman Gregory Volatility and Litman Gregory Performance module to complement your research on Litman Gregory. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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.