Cohen And Steers Fund Market Value
| UTF Fund | USD 24.18 0.06 0.25% |
| 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.
| 11/29/2025 |
| 12/29/2025 |
If you would invest 0.00 in Cohen on November 29, 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 30 days. Cohen is related to or competes with Guggenheim Strategic, Cornerstone Strategic, Fidelity Advisor, Wasatch E, Columbia Acorn, Nuveen Municipal, and Cohen Steers. 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 | 0.7299 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.2 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.45 |
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 | 0.0259 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.0349 |
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 And Steers Backtested Returns
Cohen And Steers secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the fund had a close to zero % return per unit of risk over the last 3 months. Cohen And Steers exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cohen's Mean Deviation of 0.646, risk adjusted performance of 0.0259, and Downside Deviation of 0.7299 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.53, 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 | -0.34 |
Poor reverse predictability
Cohen And Steers has poor reverse predictability. Overlapping area represents the amount of predictability between Cohen time series from 29th of November 2025 to 14th of December 2025 and 14th of December 2025 to 29th of December 2025. 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 -0.34 indicates that nearly 34.0% of current Cohen price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Cohen And Steers lagged returns against current returns
Autocorrelation, which is Cohen fund'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 Cohen's fund expected returns. We can calculate the autocorrelation of Cohen returns to help us make a trade decision. For example, suppose you find that Cohen has exhibited high autocorrelation historically, and you observe that the fund 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 |
Cohen 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 Cohen fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cohen fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cohen fund over time.
Current vs Lagged Prices |
| Timeline |
Cohen Lagged Returns
When evaluating Cohen's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cohen fund have on its future price. Cohen 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, Cohen autocorrelation shows the relationship between Cohen fund current value and its past values and can show if there is a momentum factor associated with investing in Cohen And Steers.
Regressed Prices |
| Timeline |
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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.
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