D Box Technologies Stock Market Value
| DBO Stock | CAD 0.13 0.01 7.14% |
| Symbol | DBO |
D Box '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 D Box'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 D Box.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in D Box on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding D Box Technologies or generate 0.0% return on investment in D Box over 30 days. D Box is related to or competes with Baylin Technologies, Colabor, and Knight Therapeutics. D-BOX Technologies Inc. designs, manufactures, commercializes, and leases motion systems for the entertainment, and simu... More
D Box 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 D Box'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 D Box Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.23 | |||
| Information Ratio | 0.0507 | |||
| Maximum Drawdown | 37.14 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 10.0 |
D Box Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for D Box's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as D Box's standard deviation. In reality, there are many statistical measures that can use D Box historical prices to predict the future D Box's volatility.| Risk Adjusted Performance | 0.0635 | |||
| Jensen Alpha | 0.5788 | |||
| Total Risk Alpha | (0.55) | |||
| Sortino Ratio | 0.0347 | |||
| Treynor Ratio | (0.39) |
D Box Technologies Backtested Returns
D Box appears to be out of control, given 3 months investment horizon. D Box Technologies retains Efficiency (Sharpe Ratio) of 0.0713, which denotes the company had a 0.0713% return per unit of risk over the last 3 months. We have found thirty technical indicators for D Box, which you can use to evaluate the volatility of the entity. Please utilize D Box's Coefficient Of Variation of 1401.6, downside deviation of 9.23, and Market Risk Adjusted Performance of (0.38) to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, D Box holds a performance score of 5. The firm owns a Beta (Systematic Risk) of -1.14, which means a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning D Box are expected to decrease slowly. On the other hand, during market turmoil, D Box is expected to outperform it slightly. Please check D Box's semi deviation, sortino ratio, semi variance, as well as the relationship between the standard deviation and value at risk , to make a quick decision on whether D Box's current price history will revert.
Auto-correlation | -0.13 |
Insignificant reverse predictability
D Box Technologies has insignificant reverse predictability. Overlapping area represents the amount of predictability between D Box time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 D Box Technologies price movement. The serial correlation of -0.13 indicates that less than 13.0% of current D Box price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
D Box Technologies lagged returns against current returns
Autocorrelation, which is D Box 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 D Box's stock expected returns. We can calculate the autocorrelation of D Box returns to help us make a trade decision. For example, suppose you find that D Box 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 |
D Box 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 D Box stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if D Box stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in D Box stock over time.
Current vs Lagged Prices |
| Timeline |
D Box Lagged Returns
When evaluating D Box's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of D Box stock have on its future price. D Box 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, D Box autocorrelation shows the relationship between D Box stock current value and its past values and can show if there is a momentum factor associated with investing in D Box Technologies.
Regressed Prices |
| Timeline |
Pair Trading with D Box
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 D Box 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 D Box will appreciate offsetting losses from the drop in the long position's value.Moving against DBO Stock
The ability to find closely correlated positions to D Box could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace D Box 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 D Box - 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 D Box Technologies to buy it.
The correlation of D Box 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 D Box moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if D Box Technologies 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 D Box 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 DBO Stock
D Box financial ratios help investors to determine whether DBO 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 DBO with respect to the benefits of owning D Box security.