Litman Gregory Funds Etf Market Value
| PCIG Etf | 8.85 0.14 1.61% |
| Symbol | Litman |
Litman Gregory Funds's market price often diverges from its book value, the accounting figure shown on Litman's balance sheet. Smart investors calculate Litman Gregory's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Since Litman Gregory's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental 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. 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.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Litman Gregory on November 19, 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 Cullen Value, Applied Finance, Exchange Listed, Riverparkwedgewood, Tidal Trust, Tanaka Growth, and Mid Cap. 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 | (0.09) | |||
| Maximum Drawdown | 7.04 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.57 |
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 | (0.02) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.05) |
Litman Gregory February 17, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.04) | |||
| Mean Deviation | 0.9187 | |||
| Coefficient Of Variation | (3,345) | |||
| Standard Deviation | 1.22 | |||
| Variance | 1.49 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 7.04 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.57 | |||
| Skewness | (0.49) | |||
| Kurtosis | 1.06 |
Litman Gregory Funds Backtested Returns
At this point, Litman Gregory is not too volatile. Litman Gregory Funds has Sharpe Ratio of close to zero, which conveys that the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Litman Gregory, which you can use to evaluate the volatility of the etf. Please verify Litman Gregory's Risk Adjusted Performance of (0.02), standard deviation of 1.22, and Mean Deviation of 0.9187 to check out if the risk estimate we provide is consistent with the expected return of 0.0019%. The etf secures a Beta (Market Risk) of 1.02, which conveys a somewhat significant risk relative to the market. Litman Gregory returns are very sensitive to returns on the market. As the market goes up or down, Litman Gregory is expected to follow.
Auto-correlation | -0.5 |
Modest reverse predictability
Litman Gregory Funds has modest reverse predictability. Overlapping area represents the amount of predictability between Litman Gregory time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 -0.5 indicates that about 50.0% of current Litman Gregory price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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.