Columbia Research Enhanced Etf Market Value
| REVS Etf | USD 29.24 0.08 0.27% |
| Symbol | Columbia |
Understanding Columbia Research requires distinguishing between market price and book value, where the latter reflects Columbia's accounting equity. The concept of intrinsic value—what Columbia Research's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Market sentiment, economic cycles, and investor behavior can push Columbia Research's price substantially above or below its fundamental value.
It's important to distinguish between Columbia Research's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Columbia Research should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Columbia Research's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Columbia Research '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 Columbia Research'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 Columbia Research.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Columbia Research on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Columbia Research Enhanced or generate 0.0% return on investment in Columbia Research over 90 days. Columbia Research is related to or competes with Pacer American, EA Series, FlexShares International, Pacer Cash, Exchange Traded, ALPS Electrification, and Innovator ETFs. The fund invests at least 80 percent of its assets in the securities of the index More
Columbia Research 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 Columbia Research'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 Columbia Research Enhanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7308 | |||
| Information Ratio | 0.0213 | |||
| Maximum Drawdown | 2.75 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.32 |
Columbia Research Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Research's standard deviation. In reality, there are many statistical measures that can use Columbia Research historical prices to predict the future Columbia Research's volatility.| Risk Adjusted Performance | 0.088 | |||
| Jensen Alpha | 0.0239 | |||
| Total Risk Alpha | 0.0136 | |||
| Sortino Ratio | 0.0223 | |||
| Treynor Ratio | 0.0919 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Research'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.
Columbia Research January 29, 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 | 0.088 | |||
| Market Risk Adjusted Performance | 0.1019 | |||
| Mean Deviation | 0.6416 | |||
| Semi Deviation | 0.5996 | |||
| Downside Deviation | 0.7308 | |||
| Coefficient Of Variation | 839.53 | |||
| Standard Deviation | 0.7654 | |||
| Variance | 0.5859 | |||
| Information Ratio | 0.0213 | |||
| Jensen Alpha | 0.0239 | |||
| Total Risk Alpha | 0.0136 | |||
| Sortino Ratio | 0.0223 | |||
| Treynor Ratio | 0.0919 | |||
| Maximum Drawdown | 2.75 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.32 | |||
| Downside Variance | 0.5341 | |||
| Semi Variance | 0.3595 | |||
| Expected Short fall | (0.69) | |||
| Skewness | 0.0692 | |||
| Kurtosis | (0.95) |
Columbia Research Backtested Returns
Currently, Columbia Research Enhanced is very steady. Columbia Research secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the etf had a 0.14 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Columbia Research Enhanced, which you can use to evaluate the volatility of the entity. Please confirm Columbia Research's Risk Adjusted Performance of 0.088, mean deviation of 0.6416, and Downside Deviation of 0.7308 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The etf shows a Beta (market volatility) of 0.88, which signifies possible diversification benefits within a given portfolio. Columbia Research returns are very sensitive to returns on the market. As the market goes up or down, Columbia Research is expected to follow.
Auto-correlation | 0.69 |
Good predictability
Columbia Research Enhanced has good predictability. Overlapping area represents the amount of predictability between Columbia Research time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 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 Columbia Research price movement. The serial correlation of 0.69 indicates that around 69.0% of current Columbia Research price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Thematic Opportunities
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Check out Columbia Research Correlation, Columbia Research Volatility and Columbia Research Alpha and Beta module to complement your research on Columbia Research. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Columbia Research 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.