Softbank Group Corp Stock Market Value
SFTBF Stock | USD 48.64 0.76 1.54% |
Symbol | Softbank |
Softbank Group '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 Softbank Group's pink sheet 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 Softbank Group.
01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Softbank Group on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Softbank Group Corp or generate 0.0% return on investment in Softbank Group over 90 days. Softbank Group is related to or competes with Verizon Communications, Comcast Corp, and ATT. SoftBank Group Corp. provides telecommunication services in Japan and internationally More
Softbank Group 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 Softbank Group's pink sheet 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 Softbank Group Corp upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.68 | |||
Information Ratio | 0.0338 | |||
Maximum Drawdown | 25.84 | |||
Value At Risk | (3.92) | |||
Potential Upside | 3.72 |
Softbank Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Softbank Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Softbank Group's standard deviation. In reality, there are many statistical measures that can use Softbank Group historical prices to predict the future Softbank Group's volatility.Risk Adjusted Performance | 0.0448 | |||
Jensen Alpha | 0.0634 | |||
Total Risk Alpha | (0.25) | |||
Sortino Ratio | 0.044 | |||
Treynor Ratio | 0.1168 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Softbank Group'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.
Softbank Group Corp Backtested Returns
Softbank Group appears to be very steady, given 3 months investment horizon. Softbank Group Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0628, which indicates the firm had a 0.0628% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Softbank Group Corp, which you can use to evaluate the volatility of the company. Please review Softbank Group's Semi Deviation of 2.43, risk adjusted performance of 0.0448, and Coefficient Of Variation of 1684.46 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Softbank Group holds a performance score of 4. The entity has a beta of 1.69, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Softbank Group will likely underperform. Please check Softbank Group's jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to make a quick decision on whether Softbank Group's existing price patterns will revert.
Auto-correlation | -0.61 |
Very good reverse predictability
Softbank Group Corp has very good reverse predictability. Overlapping area represents the amount of predictability between Softbank Group time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 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 Softbank Group Corp price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Softbank Group price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.61 | |
Spearman Rank Test | -0.76 | |
Residual Average | 0.0 | |
Price Variance | 13.34 |
Softbank Group Corp lagged returns against current returns
Autocorrelation, which is Softbank Group pink sheet'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 Softbank Group's pink sheet expected returns. We can calculate the autocorrelation of Softbank Group returns to help us make a trade decision. For example, suppose you find that Softbank Group has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Softbank Group 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 Softbank Group pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Softbank Group pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Softbank Group pink sheet over time.
Current vs Lagged Prices |
Timeline |
Softbank Group Lagged Returns
When evaluating Softbank Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Softbank Group pink sheet have on its future price. Softbank Group 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, Softbank Group autocorrelation shows the relationship between Softbank Group pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Softbank Group Corp.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Softbank Group Correlation, Softbank Group Volatility and Softbank Group Alpha and Beta module to complement your research on Softbank Group. Note that the Softbank Group Corp information on this page should be used as a complementary analysis to other Softbank Group's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Softbank Pink Sheet analysis
When running Softbank Group's price analysis, check to measure Softbank Group'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 Softbank Group is operating at the current time. Most of Softbank Group's value examination focuses on studying past and present price action to predict the probability of Softbank Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Softbank Group's price. Additionally, you may evaluate how the addition of Softbank Group to your portfolios can decrease your overall portfolio volatility.
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Softbank Group technical pink sheet 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, pink sheet market cycles, or different charting patterns.