Cloud Technologies (Poland) Market Value
| CLD Stock | 60.00 2.00 3.23% |
| Symbol | Cloud |
Cloud Technologies '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 Cloud Technologies' 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 Cloud Technologies.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Cloud Technologies on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Cloud Technologies SA or generate 0.0% return on investment in Cloud Technologies over 30 days. Cloud Technologies is related to or competes with Asseco Business, Movie Games, and Igoria Trade. More
Cloud Technologies 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 Cloud Technologies' 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 Cloud Technologies SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.02 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 16.54 | |||
| Value At Risk | (4.26) | |||
| Potential Upside | 4.0 |
Cloud Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cloud Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cloud Technologies' standard deviation. In reality, there are many statistical measures that can use Cloud Technologies historical prices to predict the future Cloud Technologies' volatility.| Risk Adjusted Performance | 0.0104 | |||
| Jensen Alpha | 0.0524 | |||
| Total Risk Alpha | (0.43) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cloud Technologies' 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.
Cloud Technologies Backtested Returns
Cloud Technologies secures Sharpe Ratio (or Efficiency) of -0.0273, which signifies that the company had a -0.0273% return per unit of risk over the last 3 months. Cloud Technologies SA exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cloud Technologies' Downside Deviation of 3.02, mean deviation of 2.19, and Risk Adjusted Performance of 0.0104 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.44, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Cloud Technologies are expected to decrease at a much lower rate. During the bear market, Cloud Technologies is likely to outperform the market. At this point, Cloud Technologies has a negative expected return of -0.0801%. Please make sure to confirm Cloud Technologies' sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Cloud Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.5 |
Modest reverse predictability
Cloud Technologies SA has modest reverse predictability. Overlapping area represents the amount of predictability between Cloud Technologies time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 Cloud Technologies price movement. The serial correlation of -0.5 indicates that about 50.0% of current Cloud Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 3.4 |
Cloud Technologies lagged returns against current returns
Autocorrelation, which is Cloud Technologies 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 Cloud Technologies' stock expected returns. We can calculate the autocorrelation of Cloud Technologies returns to help us make a trade decision. For example, suppose you find that Cloud Technologies 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 |
Cloud Technologies 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 Cloud Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cloud Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cloud Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Cloud Technologies Lagged Returns
When evaluating Cloud Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cloud Technologies stock have on its future price. Cloud Technologies 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, Cloud Technologies autocorrelation shows the relationship between Cloud Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Cloud Technologies SA.
Regressed Prices |
| Timeline |
Pair Trading with Cloud Technologies
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 Cloud Technologies 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 Cloud Technologies will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Cloud Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cloud Technologies 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 Cloud Technologies - 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 Cloud Technologies SA to buy it.
The correlation of Cloud Technologies 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 Cloud Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cloud Technologies 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 Cloud Technologies 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.Additional Tools for Cloud Stock Analysis
When running Cloud Technologies' price analysis, check to measure Cloud Technologies' 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 Cloud Technologies is operating at the current time. Most of Cloud Technologies' value examination focuses on studying past and present price action to predict the probability of Cloud Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cloud Technologies' price. Additionally, you may evaluate how the addition of Cloud Technologies to your portfolios can decrease your overall portfolio volatility.