Boardwalktech Software Corp Stock Market Value
| BWLKF Stock | USD 0.13 0.01 8.33% |
| Symbol | Boardwalktech |
Boardwalktech Software '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 Boardwalktech Software's otc 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 Boardwalktech Software.
| 06/08/2022 |
| 05/28/2024 |
If you would invest 0.00 in Boardwalktech Software on June 8, 2022 and sell it all today you would earn a total of 0.00 from holding Boardwalktech Software Corp or generate 0.0% return on investment in Boardwalktech Software over 720 days. Boardwalktech Software is related to or competes with Salesforce, S A P, Intuit, ServiceNow, SAP SE, Uber Technologies, and Cadence Design. Boardwalktech Software Corp. designs and licenses enterprise software solutions worldwide More
Boardwalktech Software 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 Boardwalktech Software's otc 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 Boardwalktech Software Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 43.01 | |||
| Value At Risk | (9.52) | |||
| Potential Upside | 8.33 |
Boardwalktech Software Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Boardwalktech Software's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Boardwalktech Software's standard deviation. In reality, there are many statistical measures that can use Boardwalktech Software historical prices to predict the future Boardwalktech Software's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 0.1403 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Boardwalktech Software'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.
Boardwalktech Software Backtested Returns
Boardwalktech Software secures Sharpe Ratio (or Efficiency) of -0.0457, which signifies that the company had a -0.0457% return per unit of standard deviation over the last 3 months. Boardwalktech Software Corp exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Boardwalktech Software's risk adjusted performance of (0.01), and Mean Deviation of 3.52 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -1.53, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Boardwalktech Software are expected to decrease by larger amounts. On the other hand, during market turmoil, Boardwalktech Software is expected to outperform it. Boardwalktech Software has an expected return of -0.31%. Please make sure to confirm Boardwalktech Software standard deviation and the relationship between the treynor ratio and day typical price , to decide if Boardwalktech Software performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.28 |
Weak reverse predictability
Boardwalktech Software Corp has weak reverse predictability. Overlapping area represents the amount of predictability between Boardwalktech Software time series from 8th of June 2022 to 3rd of June 2023 and 3rd of June 2023 to 28th of May 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 Boardwalktech Software price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Boardwalktech Software price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Boardwalktech Software lagged returns against current returns
Autocorrelation, which is Boardwalktech Software otc 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 Boardwalktech Software's otc stock expected returns. We can calculate the autocorrelation of Boardwalktech Software returns to help us make a trade decision. For example, suppose you find that Boardwalktech Software has exhibited high autocorrelation historically, and you observe that the otc 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 |
Boardwalktech Software 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 Boardwalktech Software otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Boardwalktech Software otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Boardwalktech Software otc stock over time.
Current vs Lagged Prices |
| Timeline |
Boardwalktech Software Lagged Returns
When evaluating Boardwalktech Software's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Boardwalktech Software otc stock have on its future price. Boardwalktech Software 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, Boardwalktech Software autocorrelation shows the relationship between Boardwalktech Software otc stock current value and its past values and can show if there is a momentum factor associated with investing in Boardwalktech Software Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Boardwalktech Software Correlation, Boardwalktech Software Volatility and Boardwalktech Software Alpha and Beta module to complement your research on Boardwalktech Software. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for Boardwalktech OTC Stock analysis
When running Boardwalktech Software's price analysis, check to measure Boardwalktech Software'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 Boardwalktech Software is operating at the current time. Most of Boardwalktech Software's value examination focuses on studying past and present price action to predict the probability of Boardwalktech Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Boardwalktech Software's price. Additionally, you may evaluate how the addition of Boardwalktech Software to your portfolios can decrease your overall portfolio volatility.
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Boardwalktech Software technical otc 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, otc market cycles, or different charting patterns.