Cohen And Steers Fund Market Value
| UTF Fund | USD 26.87 0.26 0.98% |
| Symbol | Cohen |
Cohen '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 Cohen's 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 Cohen.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in Cohen on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding Cohen And Steers or generate 0.0% return on investment in Cohen over 90 days. Cohen is related to or competes with Guggenheim Strategic, Cornerstone Strategic, Wasatch Core, Columbia Acorn, Nuveen Municipal, Cohen Steers, and Kayne Anderson. Cohen Steers Infrastructure Fund, Inc. is a closed-end equity fund launched by Cohen Steers, Inc More
Cohen 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 Cohen's 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 Cohen And Steers upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7799 | |||
| Information Ratio | 0.1478 | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.35 |
Cohen Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cohen's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cohen's standard deviation. In reality, there are many statistical measures that can use Cohen historical prices to predict the future Cohen's volatility.| Risk Adjusted Performance | 0.1928 | |||
| Jensen Alpha | 0.1599 | |||
| Total Risk Alpha | 0.113 | |||
| Sortino Ratio | 0.1454 | |||
| Treynor Ratio | 0.5392 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cohen'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.
Cohen February 23, 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 | 0.1928 | |||
| Market Risk Adjusted Performance | 0.5492 | |||
| Mean Deviation | 0.6224 | |||
| Semi Deviation | 0.5028 | |||
| Downside Deviation | 0.7799 | |||
| Coefficient Of Variation | 395.59 | |||
| Standard Deviation | 0.7672 | |||
| Variance | 0.5885 | |||
| Information Ratio | 0.1478 | |||
| Jensen Alpha | 0.1599 | |||
| Total Risk Alpha | 0.113 | |||
| Sortino Ratio | 0.1454 | |||
| Treynor Ratio | 0.5392 | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.35 | |||
| Downside Variance | 0.6083 | |||
| Semi Variance | 0.2528 | |||
| Expected Short fall | (0.67) | |||
| Skewness | (0.32) | |||
| Kurtosis | (0.28) |
Cohen And Steers Backtested Returns
Cohen appears to be very steady, given 3 months investment horizon. Cohen And Steers secures Sharpe Ratio (or Efficiency) of 0.3, which signifies that the fund had a 0.3 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Cohen And Steers, which you can use to evaluate the volatility of the entity. Please makes use of Cohen's Mean Deviation of 0.6224, risk adjusted performance of 0.1928, and Downside Deviation of 0.7799 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.34, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Cohen's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cohen is expected to be smaller as well.
Auto-correlation | 0.39 |
Below average predictability
Cohen And Steers has below average predictability. Overlapping area represents the amount of predictability between Cohen time series from 25th of November 2025 to 9th of January 2026 and 9th of January 2026 to 23rd 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 Cohen And Steers price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Cohen price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.77 |
Currently Active Assets on Macroaxis
| FSLY | Fastly Class A | |
| MOB | Mobilicom Limited American | |
| CMG | Chipotle Mexican Grill | |
| CSAN | Cosan SA ADR | |
| RKT | Rocket Companies |
Other Information on Investing in Cohen Fund
Cohen financial ratios help investors to determine whether Cohen 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 Cohen with respect to the benefits of owning Cohen security.
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |