CTM's market value is the price at which a share of CTM trades on a public exchange. It measures the collective expectations of CTM investors about its performance. CTM is trading at 1108.00 as of the 31st of January 2025, a 2.69 percent up since the beginning of the trading day. The stock's open price was 1079.0. With this module, you can estimate the performance of a buy and hold strategy of CTM and determine expected loss or profit from investing in CTM 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
CTM
CTM '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 CTM'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 CTM.
0.00
02/11/2023
No Change 0.00
0.0
In 1 year 11 months and 22 days
01/31/2025
0.00
If you would invest 0.00 in CTM on February 11, 2023 and sell it all today you would earn a total of 0.00 from holding CTM or generate 0.0% return on investment in CTM over 720 days.
CTM 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 CTM'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 CTM 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 CTM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CTM's standard deviation. In reality, there are many statistical measures that can use CTM historical prices to predict the future CTM's volatility.
CTM is out of control given 3 months investment horizon. CTM secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the company had a 0.23 % return per unit of risk over the last 3 months. We have collected data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.02% are justified by taking the suggested risk. Use CTM risk adjusted performance of 0.2015, and Mean Deviation of 3.34 to evaluate company specific risk that cannot be diversified away. CTM holds a performance score of 18 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.56, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning CTM are expected to decrease at a much lower rate. During the bear market, CTM is likely to outperform the market. Use CTM jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to analyze future returns on CTM.
Auto-correlation
-0.45
Modest reverse predictability
CTM has modest reverse predictability. Overlapping area represents the amount of predictability between CTM time series from 11th of February 2023 to 6th of February 2024 and 6th of February 2024 to 31st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CTM price movement. The serial correlation of -0.45 indicates that just about 45.0% of current CTM price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.45
Spearman Rank Test
-0.4
Residual Average
0.0
Price Variance
20.6 K
CTM lagged returns against current returns
Autocorrelation, which is CTM 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 CTM's stock expected returns. We can calculate the autocorrelation of CTM returns to help us make a trade decision. For example, suppose you find that CTM 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
CTM 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 CTM stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CTM stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CTM stock over time.
Current vs Lagged Prices
Timeline
CTM Lagged Returns
When evaluating CTM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CTM stock have on its future price. CTM 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, CTM autocorrelation shows the relationship between CTM stock current value and its past values and can show if there is a momentum factor associated with investing in CTM.
Regressed Prices
Timeline
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