Cohen And Steers Fund Market Value
| CSRIX Fund | USD 42.03 0.05 0.12% |
| 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 mutual 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.
| 04/29/2022 |
| 04/18/2024 |
If you would invest 0.00 in Cohen on April 29, 2022 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 720 days. Cohen is related to or competes with Franklin Natural, HUMANA, Thrivent High, Via Renewables, T Rowe, and FT Cboe. The fund invests at least 80, and normally substantially all, of its total assets in common stocks and other equity secu... 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 mutual 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.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 6.93 | |||
| Value At Risk | (1.81) | |||
| 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 | (0.07) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.10) |
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 -0.0882, which signifies that the fund had a -0.0882% return per unit of risk over the last 3 months. Cohen And Steers exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cohen's Standard Deviation of 1.12, mean deviation of 0.8591, and Risk Adjusted Performance of (0.07) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.33, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Cohen will likely underperform.
Auto-correlation | 0.16 |
Very weak predictability
Cohen And Steers has very weak predictability. Overlapping area represents the amount of predictability between Cohen time series from 29th of April 2022 to 24th of April 2023 and 24th of April 2023 to 18th of April 2024. 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 0.16 indicates that over 16.0% of current Cohen price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 4.85 |
Cohen And Steers lagged returns against current returns
Autocorrelation, which is Cohen mutual 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 mutual 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 mutual 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cohen mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cohen mutual 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 mutual 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 mutual 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 |
Pair Trading with Cohen
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cohen position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cohen will appreciate offsetting losses from the drop in the long position's value.Moving together with Cohen Mutual Fund
| 0.78 | DX | Dynex Capital Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Cohen could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cohen when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cohen - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cohen And Steers to buy it.
The correlation of Cohen is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cohen moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cohen And Steers moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cohen can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Cohen Correlation, Cohen Volatility and Cohen Alpha and Beta module to complement your research on Cohen. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Cohen technical mutual fund 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, fund market cycles, or different charting patterns.