Rogers Communications' market value is the price at which a share of Rogers Communications trades on a public exchange. It measures the collective expectations of Rogers Communications investors about its performance. Rogers Communications is trading at 31.40 as of the 13th of January 2026. This is a 0.63% down since the beginning of the trading day. The stock's lowest day price was 31.4. With this module, you can estimate the performance of a buy and hold strategy of Rogers Communications and determine expected loss or profit from investing in Rogers Communications over a given investment horizon. Check out Your Equity Center 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 employment.
Symbol
Rogers
Rogers Communications '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 Rogers Communications' 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 Rogers Communications.
0.00
12/14/2025
No Change 0.00
0.0
In 31 days
01/13/2026
0.00
If you would invest 0.00 in Rogers Communications on December 14, 2025 and sell it all today you would earn a total of 0.00 from holding Rogers Communications or generate 0.0% return on investment in Rogers Communications over 30 days.
Rogers Communications 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 Rogers Communications' 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 Rogers Communications 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 Rogers Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rogers Communications' standard deviation. In reality, there are many statistical measures that can use Rogers Communications historical prices to predict the future Rogers Communications' volatility.
Rogers Communications maintains Sharpe Ratio (i.e., Efficiency) of close to zero, which implies the firm had a close to zero % return per unit of risk over the last 3 months. Rogers Communications exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Rogers Communications' Risk Adjusted Performance of 0.0381, semi deviation of 1.7, and Coefficient Of Variation of 2333.74 to confirm the risk estimate we provide. The company holds a Beta of 0.11, which implies not very significant fluctuations relative to the market. As returns on the market increase, Rogers Communications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Rogers Communications is expected to be smaller as well. At this point, Rogers Communications has a negative expected return of -0.0178%. Please make sure to check Rogers Communications' jensen alpha, sortino ratio, and the relationship between the information ratio and total risk alpha , to decide if Rogers Communications performance from the past will be repeated at some point in the near future.
Auto-correlation
0.66
Good predictability
Rogers Communications has good predictability. Overlapping area represents the amount of predictability between Rogers Communications time series from 14th of December 2025 to 29th of December 2025 and 29th of December 2025 to 13th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Rogers Communications price movement. The serial correlation of 0.66 indicates that around 66.0% of current Rogers Communications price fluctuation can be explain by its past prices.
Correlation Coefficient
0.66
Spearman Rank Test
-0.02
Residual Average
0.0
Price Variance
0.4
Rogers Communications lagged returns against current returns
Autocorrelation, which is Rogers Communications 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 Rogers Communications' stock expected returns. We can calculate the autocorrelation of Rogers Communications returns to help us make a trade decision. For example, suppose you find that Rogers Communications 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
Rogers Communications 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 Rogers Communications stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rogers Communications stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rogers Communications stock over time.
Current vs Lagged Prices
Timeline
Rogers Communications Lagged Returns
When evaluating Rogers Communications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rogers Communications stock have on its future price. Rogers Communications 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, Rogers Communications autocorrelation shows the relationship between Rogers Communications stock current value and its past values and can show if there is a momentum factor associated with investing in Rogers Communications.