Bce Inc Stock Market Value
| BCE Stock | CAD 32.50 0.62 1.87% |
| Symbol | BCE |
BCE Inc Price To Book Ratio
BCE '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 BCE'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 BCE.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in BCE on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding BCE Inc or generate 0.0% return on investment in BCE over 90 days. BCE is related to or competes with Telus Corp, Enbridge, Bank of Nova Scotia, Toronto Dominion, and Royal Bank. BCE Inc., a telecommunications and media company, provides wireless, wireline, Internet, and television services to resi... More
BCE 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 BCE'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 BCE Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | 0.0202 | |||
| Maximum Drawdown | 8.31 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 2.73 |
BCE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BCE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BCE's standard deviation. In reality, there are many statistical measures that can use BCE historical prices to predict the future BCE's volatility.| Risk Adjusted Performance | 0.1127 | |||
| Jensen Alpha | 0.1817 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0239 | |||
| Treynor Ratio | (0.97) |
BCE Inc Backtested Returns
As of now, BCE Stock is very steady. BCE Inc secures Sharpe Ratio (or Efficiency) of 0.0824, which signifies that the company had a 0.0824 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for BCE Inc, which you can use to evaluate the volatility of the entity. Please confirm BCE's coefficient of variation of 855.99, and Mean Deviation of 1.09 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. BCE has a performance score of 6 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BCE are expected to decrease at a much lower rate. During the bear market, BCE is likely to outperform the market. BCE Inc at this moment shows a risk of 1.46%. Please confirm BCE Inc treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to decide if BCE Inc will be following its price patterns.
Auto-correlation | -0.41 |
Modest reverse predictability
BCE Inc has modest reverse predictability. Overlapping area represents the amount of predictability between BCE time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 BCE Inc price movement. The serial correlation of -0.41 indicates that just about 41.0% of current BCE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 1.6 |
BCE Inc lagged returns against current returns
Autocorrelation, which is BCE 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 BCE's stock expected returns. We can calculate the autocorrelation of BCE returns to help us make a trade decision. For example, suppose you find that BCE 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 |
BCE 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 BCE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BCE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BCE stock over time.
Current vs Lagged Prices |
| Timeline |
BCE Lagged Returns
When evaluating BCE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BCE stock have on its future price. BCE 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, BCE autocorrelation shows the relationship between BCE stock current value and its past values and can show if there is a momentum factor associated with investing in BCE Inc.
Regressed Prices |
| Timeline |
Pair Trading with BCE
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if BCE position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in BCE will appreciate offsetting losses from the drop in the long position's value.Moving against BCE Stock
The ability to find closely correlated positions to BCE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BCE when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back BCE - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling BCE Inc to buy it.
The correlation of BCE is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as BCE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BCE Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for BCE can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out BCE Correlation, BCE Volatility and BCE Alpha and Beta module to complement your research on BCE. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
BCE technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.