ABBOTT LABS 6 Market Value
| 002824AV2 | 111.55 2.62 2.41% |
| Symbol | ABBOTT |
ABBOTT '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 ABBOTT's bond 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 ABBOTT.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in ABBOTT on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding ABBOTT LABS 6 or generate 0.0% return on investment in ABBOTT over 720 days. ABBOTT is related to or competes with Coca Cola, JPMorgan Chase, Dupont De, Alcoa Corp, Boeing, Microsoft, and Procter Gamble. More
ABBOTT 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 ABBOTT's bond 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 ABBOTT LABS 6 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 8.04 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.13 |
ABBOTT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ABBOTT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ABBOTT's standard deviation. In reality, there are many statistical measures that can use ABBOTT historical prices to predict the future ABBOTT's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.11) |
ABBOTT LABS 6 Backtested Returns
ABBOTT LABS 6 retains Efficiency (Sharpe Ratio) of -0.0699, which signifies that the bond had a -0.0699% return per unit of risk over the last 3 months. ABBOTT exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ABBOTT's variance of 1.03, and Market Risk Adjusted Performance of (0.1) to double-check the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ABBOTT's returns are expected to increase less than the market. However, during the bear market, the loss of holding ABBOTT is expected to be smaller as well.
Auto-correlation | 0.16 |
Very weak predictability
ABBOTT LABS 6 has very weak predictability. Overlapping area represents the amount of predictability between ABBOTT time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 ABBOTT LABS 6 price movement. The serial correlation of 0.16 indicates that over 16.0% of current ABBOTT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 7.32 |
ABBOTT LABS 6 lagged returns against current returns
Autocorrelation, which is ABBOTT bond'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 ABBOTT's bond expected returns. We can calculate the autocorrelation of ABBOTT returns to help us make a trade decision. For example, suppose you find that ABBOTT has exhibited high autocorrelation historically, and you observe that the bond 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 |
ABBOTT 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 ABBOTT bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ABBOTT bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ABBOTT bond over time.
Current vs Lagged Prices |
| Timeline |
ABBOTT Lagged Returns
When evaluating ABBOTT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ABBOTT bond have on its future price. ABBOTT 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, ABBOTT autocorrelation shows the relationship between ABBOTT bond current value and its past values and can show if there is a momentum factor associated with investing in ABBOTT LABS 6.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in ABBOTT Bond
ABBOTT financial ratios help investors to determine whether ABBOTT Bond 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 ABBOTT with respect to the benefits of owning ABBOTT security.