Clicks (South Africa) Market Value
CLS Stock | 38,583 573.00 1.51% |
Symbol | Clicks |
Clicks '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 Clicks' 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 Clicks.
04/27/2024 |
| 12/23/2024 |
If you would invest 0.00 in Clicks on April 27, 2024 and sell it all today you would earn a total of 0.00 from holding Clicks or generate 0.0% return on investment in Clicks over 240 days. Clicks is related to or competes with Mr Price, RMB Holdings, AH Vest, Argent, Avi, and Capitec Bank. More
Clicks 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 Clicks' 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 Clicks upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.9205 | |||
Information Ratio | (0.02) | |||
Maximum Drawdown | 4.61 | |||
Value At Risk | (1.57) | |||
Potential Upside | 1.68 |
Clicks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clicks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clicks' standard deviation. In reality, there are many statistical measures that can use Clicks historical prices to predict the future Clicks' volatility.Risk Adjusted Performance | 0.0121 | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.0118 |
Clicks Backtested Returns
Clicks secures Sharpe Ratio (or Efficiency) of -0.0421, which signifies that the company had a -0.0421% return per unit of risk over the last 3 months. Clicks exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clicks' Risk Adjusted Performance of 0.0121, mean deviation of 0.8544, and Downside Deviation of 0.9205 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.23, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Clicks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Clicks is expected to be smaller as well. At this point, Clicks has a negative expected return of -0.0432%. Please make sure to confirm Clicks' coefficient of variation, sortino ratio, potential upside, as well as the relationship between the jensen alpha and maximum drawdown , to decide if Clicks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.54 |
Modest predictability
Clicks has modest predictability. Overlapping area represents the amount of predictability between Clicks time series from 27th of April 2024 to 25th of August 2024 and 25th of August 2024 to 23rd 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 Clicks price movement. The serial correlation of 0.54 indicates that about 54.0% of current Clicks price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.54 | |
Spearman Rank Test | 0.6 | |
Residual Average | 0.0 | |
Price Variance | 1 M |
Clicks lagged returns against current returns
Autocorrelation, which is Clicks 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 Clicks' stock expected returns. We can calculate the autocorrelation of Clicks returns to help us make a trade decision. For example, suppose you find that Clicks 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 |
Clicks 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 Clicks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clicks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clicks stock over time.
Current vs Lagged Prices |
Timeline |
Clicks Lagged Returns
When evaluating Clicks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clicks stock have on its future price. Clicks 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, Clicks autocorrelation shows the relationship between Clicks stock current value and its past values and can show if there is a momentum factor associated with investing in Clicks.
Regressed Prices |
Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Clicks Stock
Clicks financial ratios help investors to determine whether Clicks Stock 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 Clicks with respect to the benefits of owning Clicks security.