Absa Multi (South Africa) Market Value

0P000182K2   2.59  0.02  0.77%   
Absa Multi's market value is the price at which a share of Absa Multi trades on a public exchange. It measures the collective expectations of Absa Multi Managed investors about its performance. Absa Multi is trading at 2.59 as of the 4th of December 2024, a 0.77 percent decrease since the beginning of the trading day. The fund's open price was 2.61.
With this module, you can estimate the performance of a buy and hold strategy of Absa Multi Managed and determine expected loss or profit from investing in Absa Multi over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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Absa Multi '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 Absa Multi'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 Absa Multi.
0.00
12/15/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/04/2024
0.00
If you would invest  0.00  in Absa Multi on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding Absa Multi Managed or generate 0.0% return on investment in Absa Multi over 720 days.

Absa Multi 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 Absa Multi'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 Absa Multi Managed upside and downside potential and time the market with a certain degree of confidence.

Absa Multi Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Absa Multi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Absa Multi's standard deviation. In reality, there are many statistical measures that can use Absa Multi historical prices to predict the future Absa Multi's volatility.

Absa Multi Managed Backtested Returns

At this point, Absa Multi is not too volatile. Absa Multi Managed secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the fund had a 0.18% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Absa Multi Managed, which you can use to evaluate the volatility of the entity. Please confirm Absa Multi's Coefficient Of Variation of 610.96, mean deviation of 0.2441, and Risk Adjusted Performance of 0.1118 to double-check if the risk estimate we provide is consistent with the expected return of 0.0631%. The fund shows a Beta (market volatility) of -0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Absa Multi are expected to decrease at a much lower rate. During the bear market, Absa Multi is likely to outperform the market.

Auto-correlation

    
  0.36  

Below average predictability

Absa Multi Managed has below average predictability. Overlapping area represents the amount of predictability between Absa Multi time series from 15th of December 2022 to 10th of December 2023 and 10th of December 2023 to 4th 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 Absa Multi Managed price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Absa Multi price fluctuation can be explain by its past prices.
Correlation Coefficient0.36
Spearman Rank Test0.48
Residual Average0.0
Price Variance0.01

Absa Multi Managed lagged returns against current returns

Autocorrelation, which is Absa Multi 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 Absa Multi's fund expected returns. We can calculate the autocorrelation of Absa Multi returns to help us make a trade decision. For example, suppose you find that Absa Multi 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  

Absa Multi 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 Absa Multi fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Absa Multi fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Absa Multi fund over time.
   Current vs Lagged Prices   
       Timeline  

Absa Multi Lagged Returns

When evaluating Absa Multi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Absa Multi fund have on its future price. Absa Multi 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, Absa Multi autocorrelation shows the relationship between Absa Multi fund current value and its past values and can show if there is a momentum factor associated with investing in Absa Multi Managed.
   Regressed Prices   
       Timeline  

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