AGMA LAHLOU's market value is the price at which a share of AGMA LAHLOU trades on a public exchange. It measures the collective expectations of AGMA LAHLOU TAZI investors about its performance. AGMA LAHLOU is trading at 6486.00 as of the 28th of November 2024, a 0.02 percent decrease since the beginning of the trading day. The stock's open price was 6487.0. With this module, you can estimate the performance of a buy and hold strategy of AGMA LAHLOU TAZI and determine expected loss or profit from investing in AGMA LAHLOU 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 company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
AGMA
AGMA LAHLOU '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 AGMA LAHLOU'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 AGMA LAHLOU.
0.00
10/29/2024
No Change 0.00
0.0
In 31 days
11/28/2024
0.00
If you would invest 0.00 in AGMA LAHLOU on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding AGMA LAHLOU TAZI or generate 0.0% return on investment in AGMA LAHLOU over 30 days.
AGMA LAHLOU 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 AGMA LAHLOU'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 AGMA LAHLOU TAZI upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for AGMA LAHLOU's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AGMA LAHLOU's standard deviation. In reality, there are many statistical measures that can use AGMA LAHLOU historical prices to predict the future AGMA LAHLOU's volatility.
AGMA LAHLOU TAZI secures Sharpe Ratio (or Efficiency) of -0.0126, which signifies that the company had a -0.0126% return per unit of return volatility over the last 3 months. AGMA LAHLOU TAZI exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AGMA LAHLOU's Risk Adjusted Performance of (0.03), mean deviation of 0.365, and Coefficient Of Variation of (2,302) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.23, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AGMA LAHLOU's returns are expected to increase less than the market. However, during the bear market, the loss of holding AGMA LAHLOU is expected to be smaller as well. At this point, AGMA LAHLOU TAZI has a negative expected return of -0.0139%. Please make sure to confirm AGMA LAHLOU's information ratio, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if AGMA LAHLOU TAZI performance from the past will be repeated in the future.
Auto-correlation
0.00
No correlation between past and present
AGMA LAHLOU TAZI has no correlation between past and present. Overlapping area represents the amount of predictability between AGMA LAHLOU time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 AGMA LAHLOU TAZI price movement. The serial correlation of 0.0 indicates that just 0.0% of current AGMA LAHLOU price fluctuation can be explain by its past prices.
Correlation Coefficient
0.0
Spearman Rank Test
-0.45
Residual Average
0.0
Price Variance
39.6 K
AGMA LAHLOU TAZI lagged returns against current returns
Autocorrelation, which is AGMA LAHLOU 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 AGMA LAHLOU's stock expected returns. We can calculate the autocorrelation of AGMA LAHLOU returns to help us make a trade decision. For example, suppose you find that AGMA LAHLOU 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
AGMA LAHLOU 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 AGMA LAHLOU stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AGMA LAHLOU stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AGMA LAHLOU stock over time.
Current vs Lagged Prices
Timeline
AGMA LAHLOU Lagged Returns
When evaluating AGMA LAHLOU's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AGMA LAHLOU stock have on its future price. AGMA LAHLOU 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, AGMA LAHLOU autocorrelation shows the relationship between AGMA LAHLOU stock current value and its past values and can show if there is a momentum factor associated with investing in AGMA LAHLOU TAZI.
Regressed Prices
Timeline
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