Drone Delivery Canada Stock Market Value
| FLT Stock | CAD 0.21 0.01 4.55% |
| Symbol | Drone |
Drone Delivery Canada Price To Book Ratio
Drone Delivery '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 Drone Delivery'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 Drone Delivery.
| 05/05/2022 |
| 04/24/2024 |
If you would invest 0.00 in Drone Delivery on May 5, 2022 and sell it all today you would earn a total of 0.00 from holding Drone Delivery Canada or generate 0.0% return on investment in Drone Delivery over 720 days. Drone Delivery is related to or competes with Royal Canadian, and Cymbria. Drone Delivery Canada Corp. designs, develops, and implements commercial drone-based logistics systems in Canada and int... More
Drone Delivery 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 Drone Delivery'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 Drone Delivery Canada upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 23.01 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 4.55 |
Drone Delivery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Drone Delivery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Drone Delivery's standard deviation. In reality, there are many statistical measures that can use Drone Delivery historical prices to predict the future Drone Delivery's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.73) | |||
| Total Risk Alpha | (1.34) | |||
| Treynor Ratio | 1.54 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Drone Delivery'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.
Drone Delivery Canada Backtested Returns
Drone Delivery Canada secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the company had a -0.13% return per unit of risk over the last 3 months. Drone Delivery Canada exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Drone Delivery's Mean Deviation of 2.81, variance of 19.79, and Standard Deviation of 4.45 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.5, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Drone Delivery are expected to decrease at a much lower rate. During the bear market, Drone Delivery is likely to outperform the market. Drone Delivery Canada has an expected return of -0.46%. Please make sure to confirm Drone Delivery Canada maximum drawdown, as well as the relationship between the accumulation distribution and day typical price , to decide if Drone Delivery Canada performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.80 |
Very good predictability
Drone Delivery Canada has very good predictability. Overlapping area represents the amount of predictability between Drone Delivery time series from 5th of May 2022 to 30th of April 2023 and 30th of April 2023 to 24th 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 Drone Delivery Canada price movement. The serial correlation of 0.8 indicates that around 80.0% of current Drone Delivery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Drone Delivery Canada lagged returns against current returns
Autocorrelation, which is Drone Delivery 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 Drone Delivery's stock expected returns. We can calculate the autocorrelation of Drone Delivery returns to help us make a trade decision. For example, suppose you find that Drone Delivery 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 |
Drone Delivery 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 Drone Delivery stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Drone Delivery stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Drone Delivery stock over time.
Current vs Lagged Prices |
| Timeline |
Drone Delivery Lagged Returns
When evaluating Drone Delivery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Drone Delivery stock have on its future price. Drone Delivery 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, Drone Delivery autocorrelation shows the relationship between Drone Delivery stock current value and its past values and can show if there is a momentum factor associated with investing in Drone Delivery Canada.
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 Drone Delivery 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, Drone Delivery's short interest history, or implied volatility extrapolated from Drone Delivery options trading.
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When running Drone Delivery's price analysis, check to measure Drone Delivery'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 Drone Delivery is operating at the current time. Most of Drone Delivery's value examination focuses on studying past and present price action to predict the probability of Drone Delivery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Drone Delivery's price. Additionally, you may evaluate how the addition of Drone Delivery to your portfolios can decrease your overall portfolio volatility.
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Drone Delivery 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.