Qbts Wt Stock Market Value
QBTS-WT Stock | 2.84 0.08 2.90% |
Symbol | QBTS |
QBTS WT Price To Book Ratio
QBTS WT '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 QBTS WT'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 QBTS WT.
01/02/2025 |
| 02/01/2025 |
If you would invest 0.00 in QBTS WT on January 2, 2025 and sell it all today you would earn a total of 0.00 from holding QBTS WT or generate 0.0% return on investment in QBTS WT over 30 days. QBTS WT is related to or competes with D Wave, Rigetti Computing, and Arqit Quantum. QBTS WT is entity of United States. It is traded as Stock on US exchange. More
QBTS WT 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 QBTS WT'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 QBTS WT upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 20.19 | |||
Information Ratio | 0.1654 | |||
Maximum Drawdown | 107.32 | |||
Value At Risk | (35.23) | |||
Potential Upside | 55.86 |
QBTS WT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QBTS WT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QBTS WT's standard deviation. In reality, there are many statistical measures that can use QBTS WT historical prices to predict the future QBTS WT's volatility.Risk Adjusted Performance | 0.1513 | |||
Jensen Alpha | 4.26 | |||
Total Risk Alpha | 1.46 | |||
Sortino Ratio | 0.1943 | |||
Treynor Ratio | (1.49) |
QBTS WT Backtested Returns
QBTS WT is abnormally volatile given 3 months investment horizon. QBTS WT maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the company had a 0.16 % return per unit of standard deviation over the last 3 months. We were able to interpolate and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.8% are justified by taking the suggested risk. Use QBTS WT Market Risk Adjusted Performance of (1.48), mean deviation of 17.2, and Coefficient Of Variation of 589.57 to evaluate company specific risk that cannot be diversified away. QBTS WT holds a performance score of 12 on a scale of zero to a hundred. The firm holds a Beta of -2.7, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning QBTS WT are expected to decrease by larger amounts. On the other hand, during market turmoil, QBTS WT is expected to outperform it. Use QBTS WT treynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside , to analyze future returns on QBTS WT.
Auto-correlation | 0.27 |
Poor predictability
QBTS WT has poor predictability. Overlapping area represents the amount of predictability between QBTS WT time series from 2nd of January 2025 to 17th of January 2025 and 17th of January 2025 to 1st of February 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 QBTS WT price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current QBTS WT price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.27 | |
Spearman Rank Test | 0.44 | |
Residual Average | 0.0 | |
Price Variance | 0.06 |
QBTS WT lagged returns against current returns
Autocorrelation, which is QBTS WT 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 QBTS WT's stock expected returns. We can calculate the autocorrelation of QBTS WT returns to help us make a trade decision. For example, suppose you find that QBTS WT 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 |
QBTS WT 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 QBTS WT stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QBTS WT stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QBTS WT stock over time.
Current vs Lagged Prices |
Timeline |
QBTS WT Lagged Returns
When evaluating QBTS WT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QBTS WT stock have on its future price. QBTS WT 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, QBTS WT autocorrelation shows the relationship between QBTS WT stock current value and its past values and can show if there is a momentum factor associated with investing in QBTS WT.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for QBTS Stock Analysis
When running QBTS WT's price analysis, check to measure QBTS WT'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 QBTS WT is operating at the current time. Most of QBTS WT's value examination focuses on studying past and present price action to predict the probability of QBTS WT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QBTS WT's price. Additionally, you may evaluate how the addition of QBTS WT to your portfolios can decrease your overall portfolio volatility.