Abb Stock Market Value
| ABLZF Stock | USD 55.79 1.25 2.19% |
| Symbol | ABB |
ABB '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 ABB'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 ABB.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in ABB on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding ABB or generate 0.0% return on investment in ABB over 30 days. ABB is related to or competes with FREYR Battery, NVent Electric, Hubbell, Advanced Energy, Vertiv Holdings, Energizer Holdings, and NeoVolta Common. ABB Ltd engages in manufacture and sale of electrification, automation, robotics, and motion products for customers in u... More
ABB 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 ABB'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 ABB upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.11 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 14.55 | |||
| Value At Risk | (5.06) | |||
| Potential Upside | 5.25 |
ABB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ABB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ABB's standard deviation. In reality, there are many statistical measures that can use ABB historical prices to predict the future ABB's volatility.| Risk Adjusted Performance | 0.0181 | |||
| Jensen Alpha | 0.0227 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.3748 |
ABB Backtested Returns
At this point, ABB is very steady. ABB retains Efficiency (Sharpe Ratio) of 0.0121, which signifies that the company had a 0.0121% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ABB, which you can use to evaluate the volatility of the entity. Please confirm ABB's market risk adjusted performance of 0.3848, and Coefficient Of Variation of 7252.77 to double-check if the risk estimate we provide is consistent with the expected return of 0.0385%. The firm owns a Beta (Systematic Risk) of 0.0888, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ABB's returns are expected to increase less than the market. However, during the bear market, the loss of holding ABB is expected to be smaller as well. ABB at this moment owns a risk of 3.18%. Please confirm ABB coefficient of variation, semi variance, price action indicator, as well as the relationship between the treynor ratio and daily balance of power , to decide if ABB will be following its current price history.
Auto-correlation | -0.51 |
Good reverse predictability
ABB has good reverse predictability. Overlapping area represents the amount of predictability between ABB time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 ABB price movement. The serial correlation of -0.51 indicates that about 51.0% of current ABB price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.59 |
ABB lagged returns against current returns
Autocorrelation, which is ABB 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 ABB's pink sheet expected returns. We can calculate the autocorrelation of ABB returns to help us make a trade decision. For example, suppose you find that ABB 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 |
ABB 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 ABB pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ABB pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ABB pink sheet over time.
Current vs Lagged Prices |
| Timeline |
ABB Lagged Returns
When evaluating ABB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ABB pink sheet have on its future price. ABB 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, ABB autocorrelation shows the relationship between ABB pink sheet current value and its past values and can show if there is a momentum factor associated with investing in ABB.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in ABB Pink Sheet
ABB financial ratios help investors to determine whether ABB Pink Sheet 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 ABB with respect to the benefits of owning ABB security.