Dicker Data (Australia) Market Value
| DDR Stock | 8.39 0.02 0.24% |
| Symbol | Dicker |
Dicker Data '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 Dicker Data'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 Dicker Data.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Dicker Data on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding Dicker Data or generate 0.0% return on investment in Dicker Data over 720 days. Dicker Data is related to or competes with Patriot Battery, Premier Investments, Flagship Investments, BKI Investment, and Hudson Investment. Dicker Data is entity of Australia. It is traded as Stock on AU exchange. More
Dicker Data 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 Dicker Data'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 Dicker Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 9.92 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 1.93 |
Dicker Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dicker Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dicker Data's standard deviation. In reality, there are many statistical measures that can use Dicker Data historical prices to predict the future Dicker Data's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.33) | |||
| Total Risk Alpha | (0.60) | |||
| Treynor Ratio | (4.58) |
Dicker Data Backtested Returns
Dicker Data secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the company had a -0.14% return per unit of standard deviation over the last 3 months. Dicker Data exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dicker Data's Coefficient Of Variation of (563.04), standard deviation of 1.75, and Mean Deviation of 1.12 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0699, which means not very significant fluctuations relative to the market. As returns on the market increase, Dicker Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dicker Data is expected to be smaller as well. At this point, Dicker Data has a negative expected return of -0.25%. Please make sure to confirm Dicker Data's mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Dicker Data performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.22 |
Weak reverse predictability
Dicker Data has weak reverse predictability. Overlapping area represents the amount of predictability between Dicker Data time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th of November 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 Dicker Data price movement. The serial correlation of -0.22 indicates that over 22.0% of current Dicker Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.88 |
Dicker Data lagged returns against current returns
Autocorrelation, which is Dicker Data 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 Dicker Data's stock expected returns. We can calculate the autocorrelation of Dicker Data returns to help us make a trade decision. For example, suppose you find that Dicker Data 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 |
Dicker Data 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 Dicker Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dicker Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dicker Data stock over time.
Current vs Lagged Prices |
| Timeline |
Dicker Data Lagged Returns
When evaluating Dicker Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dicker Data stock have on its future price. Dicker Data 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, Dicker Data autocorrelation shows the relationship between Dicker Data stock current value and its past values and can show if there is a momentum factor associated with investing in Dicker Data.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for Dicker Stock Analysis
When running Dicker Data's price analysis, check to measure Dicker Data'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 Dicker Data is operating at the current time. Most of Dicker Data's value examination focuses on studying past and present price action to predict the probability of Dicker Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dicker Data's price. Additionally, you may evaluate how the addition of Dicker Data to your portfolios can decrease your overall portfolio volatility.