Counterpoint Sci (South Africa) Market Value
0P0000VK11 | 1.42 0.01 0.70% |
Symbol | Counterpoint |
Counterpoint 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 Counterpoint 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 Counterpoint Sci.
11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in Counterpoint Sci on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding Counterpoint Sci Managed or generate 0.0% return on investment in Counterpoint Sci over 30 days.
Counterpoint 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 Counterpoint 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 Counterpoint Sci Managed upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7537 | |||
Information Ratio | (0.12) | |||
Maximum Drawdown | 1.46 | |||
Value At Risk | (0.72) | |||
Potential Upside | 0.7299 |
Counterpoint Sci Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Counterpoint Sci's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Counterpoint Sci's standard deviation. In reality, there are many statistical measures that can use Counterpoint Sci historical prices to predict the future Counterpoint Sci's volatility.Risk Adjusted Performance | 0.0815 | |||
Jensen Alpha | 0.0365 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | (0.07) | |||
Treynor Ratio | 0.5186 |
Counterpoint Sci Managed Backtested Returns
At this stage we consider Counterpoint Fund to be somewhat reliable. Counterpoint Sci Managed secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Counterpoint Sci Managed, which you can use to evaluate the volatility of the entity. Please confirm Counterpoint Sci's Mean Deviation of 0.3234, downside deviation of 0.7537, and Risk Adjusted Performance of 0.0815 to double-check if the risk estimate we provide is consistent with the expected return of 0.0589%. The fund shows a Beta (market volatility) of 0.0875, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Counterpoint Sci's returns are expected to increase less than the market. However, during the bear market, the loss of holding Counterpoint Sci is expected to be smaller as well.
Auto-correlation | 0.73 |
Good predictability
Counterpoint Sci Managed has good predictability. Overlapping area represents the amount of predictability between Counterpoint 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 Counterpoint Sci Managed price movement. The serial correlation of 0.73 indicates that around 73.0% of current Counterpoint Sci price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.73 | |
Spearman Rank Test | 0.85 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Counterpoint Sci Managed lagged returns against current returns
Autocorrelation, which is Counterpoint 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 Counterpoint Sci's fund expected returns. We can calculate the autocorrelation of Counterpoint Sci returns to help us make a trade decision. For example, suppose you find that Counterpoint 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 |
Counterpoint 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 Counterpoint Sci fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Counterpoint Sci fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Counterpoint Sci fund over time.
Current vs Lagged Prices |
Timeline |
Counterpoint Sci Lagged Returns
When evaluating Counterpoint Sci's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Counterpoint Sci fund have on its future price. Counterpoint 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, Counterpoint Sci autocorrelation shows the relationship between Counterpoint Sci fund current value and its past values and can show if there is a momentum factor associated with investing in Counterpoint Sci Managed.
Regressed Prices |
Timeline |
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