Johnson Johnson (Germany) Market Value
| JNJ Stock | EUR 138.36 1.70 1.21% |
| Symbol | Johnson |
Johnson Johnson '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 Johnson Johnson'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 Johnson Johnson.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Johnson Johnson on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Johnson Johnson or generate 0.0% return on investment in Johnson Johnson over 30 days. Johnson Johnson is related to or competes with Roche Holding, Bayer AG, Bayer Aktiengesellscha, ASTELLAS PHARMA, Astellas Pharma, and CSPC PHARMACEUTGR. Johnson Johnson researches and develops, manufactures, and sells a range of products in the health care field worldwide More
Johnson Johnson 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 Johnson Johnson'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 Johnson Johnson upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 4.12 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.59 |
Johnson Johnson Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Johnson Johnson's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Johnson Johnson's standard deviation. In reality, there are many statistical measures that can use Johnson Johnson historical prices to predict the future Johnson Johnson's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.29) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Johnson Johnson'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.
Johnson Johnson Backtested Returns
Johnson Johnson holds Efficiency (Sharpe) Ratio of -0.0747, which attests that the entity had a -0.0747% return per unit of risk over the last 3 months. Johnson Johnson exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Johnson Johnson's Risk Adjusted Performance of (0.05), market risk adjusted performance of (0.28), and Standard Deviation of 0.9378 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.28, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Johnson Johnson's returns are expected to increase less than the market. However, during the bear market, the loss of holding Johnson Johnson is expected to be smaller as well. Johnson Johnson has an expected return of -0.0711%. Please make sure to check out Johnson Johnson jensen alpha, value at risk, accumulation distribution, as well as the relationship between the treynor ratio and skewness , to decide if Johnson Johnson performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.27 |
Poor predictability
Johnson Johnson has poor predictability. Overlapping area represents the amount of predictability between Johnson Johnson time series from 25th of March 2024 to 9th of April 2024 and 9th of April 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 Johnson Johnson price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Johnson Johnson price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 3.32 |
Johnson Johnson lagged returns against current returns
Autocorrelation, which is Johnson Johnson 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 Johnson Johnson's stock expected returns. We can calculate the autocorrelation of Johnson Johnson returns to help us make a trade decision. For example, suppose you find that Johnson Johnson 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 |
Johnson Johnson 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 Johnson Johnson stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Johnson Johnson stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Johnson Johnson stock over time.
Current vs Lagged Prices |
| Timeline |
Johnson Johnson Lagged Returns
When evaluating Johnson Johnson's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Johnson Johnson stock have on its future price. Johnson Johnson 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, Johnson Johnson autocorrelation shows the relationship between Johnson Johnson stock current value and its past values and can show if there is a momentum factor associated with investing in Johnson Johnson.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Johnson Johnson in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Johnson Johnson's short interest history, or implied volatility extrapolated from Johnson Johnson options trading.
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Complementary Tools for Johnson Stock analysis
When running Johnson Johnson's price analysis, check to measure Johnson Johnson'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 Johnson Johnson is operating at the current time. Most of Johnson Johnson's value examination focuses on studying past and present price action to predict the probability of Johnson Johnson's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Johnson Johnson's price. Additionally, you may evaluate how the addition of Johnson Johnson to your portfolios can decrease your overall portfolio volatility.
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Johnson Johnson technical 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, stock market cycles, or different charting patterns.