Cymbria Stock Market Value
| CYB Stock | CAD 72.00 1.75 2.37% |
| Symbol | Cymbria |
Cymbria Price To Book Ratio
Cymbria '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 Cymbria'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 Cymbria.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in Cymbria on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding Cymbria or generate 0.0% return on investment in Cymbria over 30 days. Cymbria is related to or competes with Berkshire Hathaway, JPMorgan Chase, Bank of America, Alphabet, Microsoft Corp, International Business, and GOLDMAN SACHS. Cymbria Corporation is a closed ended equity fund launched and managed by EdgePoint Investment Group Inc More
Cymbria 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 Cymbria'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 Cymbria upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 7.42 | |||
| Value At Risk | (1.93) | |||
| Potential Upside | 1.56 |
Cymbria Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cymbria's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cymbria's standard deviation. In reality, there are many statistical measures that can use Cymbria historical prices to predict the future Cymbria's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.14) |
Cymbria Backtested Returns
As of now, Cymbria Stock is very steady. Cymbria secures Sharpe Ratio (or Efficiency) of 0.0055, which signifies that the company had a 0.0055% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Cymbria, which you can use to evaluate the volatility of the firm. Please confirm Cymbria's Standard Deviation of 1.12, mean deviation of 0.7675, and Risk Adjusted Performance of (0.01) to double-check if the risk estimate we provide is consistent with the expected return of 0.0063%. The firm shows a Beta (market volatility) of 0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cymbria's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cymbria is expected to be smaller as well. Cymbria right now shows a risk of 1.13%. Please confirm Cymbria treynor ratio, accumulation distribution, price action indicator, as well as the relationship between the potential upside and day median price , to decide if Cymbria will be following its price patterns.
Auto-correlation | -0.85 |
Excellent reverse predictability
Cymbria has excellent reverse predictability. Overlapping area represents the amount of predictability between Cymbria time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th 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 Cymbria price movement. The serial correlation of -0.85 indicates that around 85.0% of current Cymbria price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.85 | |
| Spearman Rank Test | -0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 2.17 |
Cymbria lagged returns against current returns
Autocorrelation, which is Cymbria 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 Cymbria's stock expected returns. We can calculate the autocorrelation of Cymbria returns to help us make a trade decision. For example, suppose you find that Cymbria 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 |
Cymbria 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 Cymbria stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cymbria stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cymbria stock over time.
Current vs Lagged Prices |
| Timeline |
Cymbria Lagged Returns
When evaluating Cymbria's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cymbria stock have on its future price. Cymbria 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, Cymbria autocorrelation shows the relationship between Cymbria stock current value and its past values and can show if there is a momentum factor associated with investing in Cymbria.
Regressed Prices |
| Timeline |
Pair Trading with Cymbria
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 Cymbria 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 Cymbria will appreciate offsetting losses from the drop in the long position's value.Moving together with Cymbria Stock
Moving against Cymbria Stock
The ability to find closely correlated positions to Cymbria could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cymbria 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 Cymbria - 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 Cymbria to buy it.
The correlation of Cymbria 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 Cymbria moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cymbria 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 Cymbria 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.Other Information on Investing in Cymbria Stock
Cymbria financial ratios help investors to determine whether Cymbria Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cymbria with respect to the benefits of owning Cymbria security.