MCB GROUP (Mauritius) Market Value
MCBG Stock | 440.00 2.00 0.46% |
Symbol | MCB |
MCB GROUP '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 MCB GROUP'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 MCB GROUP.
12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in MCB GROUP on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding MCB GROUP LIMITED or generate 0.0% return on investment in MCB GROUP over 720 days.
MCB GROUP 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 MCB GROUP'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 MCB GROUP LIMITED upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.59 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 9.04 | |||
Value At Risk | (2.15) | |||
Potential Upside | 2.35 |
MCB GROUP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MCB GROUP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MCB GROUP's standard deviation. In reality, there are many statistical measures that can use MCB GROUP historical prices to predict the future MCB GROUP's volatility.Risk Adjusted Performance | 0.0651 | |||
Jensen Alpha | 0.083 | |||
Total Risk Alpha | (0.12) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 1.27 |
MCB GROUP LIMITED Backtested Returns
At this point, MCB GROUP is very steady. MCB GROUP LIMITED retains Efficiency (Sharpe Ratio) of 0.0262, which conveys that the company had a 0.0262% return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for MCB GROUP, which you can use to evaluate the volatility of the entity. Please verify MCB GROUP's Market Risk Adjusted Performance of 1.28, downside deviation of 1.59, and Mean Deviation of 0.7413 to check out if the risk estimate we provide is consistent with the expected return of 0.0328%. MCB GROUP has a performance score of 2 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 0.0726, which conveys not very significant fluctuations relative to the market. As returns on the market increase, MCB GROUP's returns are expected to increase less than the market. However, during the bear market, the loss of holding MCB GROUP is expected to be smaller as well. MCB GROUP LIMITED at this time owns a risk of 1.25%. Please verify MCB GROUP LIMITED mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if MCB GROUP LIMITED will be following its current price history.
Auto-correlation | 0.82 |
Very good predictability
MCB GROUP LIMITED has very good predictability. Overlapping area represents the amount of predictability between MCB GROUP time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 MCB GROUP LIMITED price movement. The serial correlation of 0.82 indicates that around 82.0% of current MCB GROUP price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.82 | |
Spearman Rank Test | 0.8 | |
Residual Average | 0.0 | |
Price Variance | 1808.81 |
MCB GROUP LIMITED lagged returns against current returns
Autocorrelation, which is MCB GROUP 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 MCB GROUP's stock expected returns. We can calculate the autocorrelation of MCB GROUP returns to help us make a trade decision. For example, suppose you find that MCB GROUP 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 |
MCB GROUP 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 MCB GROUP stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MCB GROUP stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MCB GROUP stock over time.
Current vs Lagged Prices |
Timeline |
MCB GROUP Lagged Returns
When evaluating MCB GROUP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MCB GROUP stock have on its future price. MCB GROUP 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, MCB GROUP autocorrelation shows the relationship between MCB GROUP stock current value and its past values and can show if there is a momentum factor associated with investing in MCB GROUP LIMITED.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio Architect