Bce Inc Stock Market Value
BCE Stock | CAD 45.29 0.17 0.37% |
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.
01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in BCE on January 26, 2024 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 Berkshire Hathaway, Apple, Microsoft Corp, Amazon CDR, Exxon, Royal Bank, and Walmart. 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.
Information Ratio | (0.37) | |||
Maximum Drawdown | 4.95 | |||
Value At Risk | (2.39) | |||
Potential Upside | 1.17 |
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 | (0.17) | |||
Jensen Alpha | (0.33) | |||
Total Risk Alpha | (0.43) | |||
Treynor Ratio | (0.61) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BCE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
BCE Inc Backtested Returns
BCE Inc secures Sharpe Ratio (or Efficiency) of -0.26, which signifies that the company had a -0.26% return per unit of risk over the last 3 months. BCE Inc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BCE's variance of 1.02, and Mean Deviation of 0.7576 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.47, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, BCE's returns are expected to increase less than the market. However, during the bear market, the loss of holding BCE is expected to be smaller as well. BCE Inc has an expected return of -0.27%. Please make sure to confirm BCE Inc potential upside, day median price, and the relationship between the treynor ratio and accumulation distribution , to decide if BCE Inc performance from the past will be repeated at some future date.
Auto-correlation | 0.80 |
Very good predictability
BCE Inc has very good predictability. Overlapping area represents the amount of predictability between BCE time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th of April 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 BCE Inc price movement. The serial correlation of 0.8 indicates that around 80.0% of current BCE price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.8 | |
Spearman Rank Test | 0.7 | |
Residual Average | 0.0 | |
Price Variance | 1.02 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards BCE in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, BCE's short interest history, or implied volatility extrapolated from BCE options trading.
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
0.91 | ARX | ARC Resources Earnings Call This Week | PairCorr |
0.89 | CNQ | Canadian Natural Res Earnings Call This Week | PairCorr |
0.85 | WCN | Waste Connections Earnings Call Today | PairCorr |
0.81 | IVN | Ivanhoe Mines Earnings Call This Week | PairCorr |
0.75 | FFH | Fairfax Financial | PairCorr |
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. Note that the BCE Inc information on this page should be used as a complementary analysis to other BCE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for BCE Stock analysis
When running BCE's price analysis, check to measure BCE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BCE is operating at the current time. Most of BCE's value examination focuses on studying past and present price action to predict the probability of BCE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BCE's price. Additionally, you may evaluate how the addition of BCE to your portfolios can decrease your overall portfolio volatility.
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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.