Cohen Dev (Israel) Market Value
| CDEV Stock | ILS 10,900 260.00 2.44% |
| Symbol | Cohen |
Cohen Dev '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 Dev's stock 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 Dev.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Cohen Dev on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Cohen Dev or generate 0.0% return on investment in Cohen Dev over 30 days. Cohen Dev is related to or competes with Atreyu Capital, IBI Inv, Delek Automotive, Scope Metals, and Rami Levi. Cohen Development Industrial Buildings Ltd., through its subsidiary, explores, develops, and produces oil and natural ga... More
Cohen Dev 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 Dev's stock 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 Dev upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 7.16 | |||
| Value At Risk | (3.57) | |||
| Potential Upside | 2.8 |
Cohen Dev Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cohen Dev's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cohen Dev's standard deviation. In reality, there are many statistical measures that can use Cohen Dev historical prices to predict the future Cohen Dev's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | 0.1748 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cohen Dev'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 Dev Backtested Returns
Cohen Dev secures Sharpe Ratio (or Efficiency) of -0.0248, which signifies that the company had a -0.0248% return per unit of risk over the last 3 months. Cohen Dev exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cohen Dev's Standard Deviation of 1.88, risk adjusted performance of (0.02), and Mean Deviation of 1.53 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.48, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Cohen Dev are expected to decrease at a much lower rate. During the bear market, Cohen Dev is likely to outperform the market. Cohen Dev has an expected return of -0.0508%. Please make sure to confirm Cohen Dev coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Cohen Dev performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.93 |
Near perfect reversele predictability
Cohen Dev has near perfect reversele predictability. Overlapping area represents the amount of predictability between Cohen Dev time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Dev price movement. The serial correlation of -0.93 indicates that approximately 93.0% of current Cohen Dev price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.93 | |
| Spearman Rank Test | -0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 41 K |
Cohen Dev lagged returns against current returns
Autocorrelation, which is Cohen Dev stock'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 Dev's stock expected returns. We can calculate the autocorrelation of Cohen Dev returns to help us make a trade decision. For example, suppose you find that Cohen Dev has exhibited high autocorrelation historically, and you observe that the stock 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 Dev 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 Dev stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cohen Dev stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cohen Dev stock over time.
Current vs Lagged Prices |
| Timeline |
Cohen Dev Lagged Returns
When evaluating Cohen Dev's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cohen Dev stock have on its future price. Cohen Dev 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 Dev autocorrelation shows the relationship between Cohen Dev stock current value and its past values and can show if there is a momentum factor associated with investing in Cohen Dev.
Regressed Prices |
| Timeline |
Pair Trading with Cohen Dev
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 Dev 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 Dev will appreciate offsetting losses from the drop in the long position's value.Moving together with Cohen Stock
| 0.69 | BIMT | Bio Meat Foodtech | PairCorr |
Moving against Cohen Stock
| 0.52 | SPRG | Spring Ventures | PairCorr |
The ability to find closely correlated positions to Cohen Dev 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 Dev 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 Dev - 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 Dev to buy it.
The correlation of Cohen Dev 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 Dev moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cohen Dev 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 Dev 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 Dev Correlation, Cohen Dev Volatility and Cohen Dev Alpha and Beta module to complement your research on Cohen Dev. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary Tools for Cohen Stock analysis
When running Cohen Dev's price analysis, check to measure Cohen Dev's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Cohen Dev is operating at the current time. Most of Cohen Dev's value examination focuses on studying past and present price action to predict the probability of Cohen Dev's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cohen Dev's price. Additionally, you may evaluate how the addition of Cohen Dev to your portfolios can decrease your overall portfolio volatility.
| Transaction History View history of all your transactions and understand their impact on performance | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |
Cohen Dev technical stock 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, stock market cycles, or different charting patterns.