CAC Consumer's market value is the price at which a share of CAC Consumer trades on a public exchange. It measures the collective expectations of CAC Consumer Goods investors about its performance. CAC Consumer is enlisted at 4955.13 as of the 25th of December 2024; that is 0.30 percent up since the beginning of the trading day. The index's open price was 4940.12. With this module, you can estimate the performance of a buy and hold strategy of CAC Consumer Goods and determine expected loss or profit from investing in CAC Consumer over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
CAC
CAC Consumer '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 CAC Consumer's index 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 CAC Consumer.
0.00
11/25/2024
No Change 0.00
0.0
In 30 days
12/25/2024
0.00
If you would invest 0.00 in CAC Consumer on November 25, 2024 and sell it all today you would earn a total of 0.00 from holding CAC Consumer Goods or generate 0.0% return on investment in CAC Consumer over 30 days.
CAC Consumer 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 CAC Consumer's index 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 CAC Consumer Goods 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 CAC Consumer's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CAC Consumer's standard deviation. In reality, there are many statistical measures that can use CAC Consumer historical prices to predict the future CAC Consumer's volatility.
CAC Consumer Goods retains Efficiency (Sharpe Ratio) of -0.0704, which signifies that the index had a -0.0704% return per unit of risk over the last 3 months. CAC Consumer exposes twenty-six different technical indicators, which can help you to evaluate volatility embedded in its price movement. The entity owns a Beta (Systematic Risk) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CAC Consumer are completely uncorrelated.
Auto-correlation
-0.57
Good reverse predictability
CAC Consumer Goods has good reverse predictability. Overlapping area represents the amount of predictability between CAC Consumer time series from 25th of November 2024 to 10th of December 2024 and 10th of December 2024 to 25th 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 CAC Consumer Goods price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current CAC Consumer price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.57
Spearman Rank Test
-0.65
Residual Average
0.0
Price Variance
834.87
CAC Consumer Goods lagged returns against current returns
Autocorrelation, which is CAC Consumer index'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 CAC Consumer's index expected returns. We can calculate the autocorrelation of CAC Consumer returns to help us make a trade decision. For example, suppose you find that CAC Consumer has exhibited high autocorrelation historically, and you observe that the index 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
CAC Consumer 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 CAC Consumer index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CAC Consumer index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CAC Consumer index over time.
Current vs Lagged Prices
Timeline
CAC Consumer Lagged Returns
When evaluating CAC Consumer's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CAC Consumer index have on its future price. CAC Consumer 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, CAC Consumer autocorrelation shows the relationship between CAC Consumer index current value and its past values and can show if there is a momentum factor associated with investing in CAC Consumer Goods.
Regressed Prices
Timeline
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