Cinnabar Sci (South Africa) Market Value
| 0P00013WS6 | 1.66 0.01 0.61% |
| Symbol | Cinnabar |
Cinnabar Sci '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 Cinnabar Sci's 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 Cinnabar Sci.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in Cinnabar Sci on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding Cinnabar Sci Balanced or generate 0.0% return on investment in Cinnabar Sci over 30 days.
Cinnabar Sci 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 Cinnabar Sci's 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 Cinnabar Sci Balanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7392 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 2.5 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.625 |
Cinnabar Sci Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cinnabar Sci's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cinnabar Sci's standard deviation. In reality, there are many statistical measures that can use Cinnabar Sci historical prices to predict the future Cinnabar Sci's volatility.| Risk Adjusted Performance | 0.1011 | |||
| Jensen Alpha | 0.0401 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.3545 |
Cinnabar Sci Balanced Backtested Returns
At this point, Cinnabar Sci is somewhat reliable. Cinnabar Sci Balanced secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Cinnabar Sci Balanced, which you can use to evaluate the volatility of the entity. Please confirm Cinnabar Sci's Risk Adjusted Performance of 0.1011, mean deviation of 0.3053, and Downside Deviation of 0.7392 to double-check if the risk estimate we provide is consistent with the expected return of 0.0594%. The fund shows a Beta (market volatility) of 0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cinnabar Sci's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cinnabar Sci is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Cinnabar Sci Balanced has modest predictability. Overlapping area represents the amount of predictability between Cinnabar Sci time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th 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 Cinnabar Sci Balanced price movement. The serial correlation of 0.52 indicates that about 52.0% of current Cinnabar Sci price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Cinnabar Sci Balanced lagged returns against current returns
Autocorrelation, which is Cinnabar Sci 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 Cinnabar Sci's fund expected returns. We can calculate the autocorrelation of Cinnabar Sci returns to help us make a trade decision. For example, suppose you find that Cinnabar Sci has exhibited high autocorrelation historically, and you observe that the 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 |
Cinnabar Sci 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 Cinnabar Sci fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cinnabar Sci fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cinnabar Sci fund over time.
Current vs Lagged Prices |
| Timeline |
Cinnabar Sci Lagged Returns
When evaluating Cinnabar Sci's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cinnabar Sci fund have on its future price. Cinnabar Sci 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, Cinnabar Sci autocorrelation shows the relationship between Cinnabar Sci fund current value and its past values and can show if there is a momentum factor associated with investing in Cinnabar Sci Balanced.
Regressed Prices |
| Timeline |
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