JOHNSON JOHNSON 295 Market Value

478160CE2   95.30  1.67  1.72%   
JOHNSON's market value is the price at which a share of JOHNSON trades on an exchange. It measures the collective expectations of JOHNSON JOHNSON 295 investors about the bond's future performance. With this module, you can estimate the performance of a buy and hold strategy of JOHNSON JOHNSON 295 and determine expected loss or profit from investing in JOHNSON over a given investment horizon.
Check out JOHNSON Correlation, JOHNSON Volatility and JOHNSON Alpha and Beta module to complement your research on JOHNSON.
Symbol

Please note, there is a significant difference between JOHNSON's value and its price as these two are different measures arrived at by different means. Investors typically determine if JOHNSON is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JOHNSON's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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'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 JOHNSON.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in JOHNSON on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding JOHNSON JOHNSON 295 or generate 0.0% return on investment in JOHNSON over 30 days. JOHNSON is related to or competes with LGI Homes, Haverty Furniture, Bassett Furniture, Mesa Air, Ryanair Holdings, Franklin Street, and Live Ventures. More

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'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 JOHNSON JOHNSON 295 upside and downside potential and time the market with a certain degree of confidence.

JOHNSON Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for JOHNSON's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JOHNSON's standard deviation. In reality, there are many statistical measures that can use JOHNSON historical prices to predict the future JOHNSON's volatility.
Hype
Prediction
LowEstimatedHigh
94.9895.3095.62
Details
Intrinsic
Valuation
LowRealHigh
89.2389.55104.83
Details
Naive
Forecast
LowNextHigh
94.8295.1495.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
95.4296.7298.01
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as JOHNSON. Your research has to be compared to or analyzed against JOHNSON's peers to derive any actionable benefits. When done correctly, JOHNSON's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in JOHNSON JOHNSON 295.

JOHNSON JOHNSON 295 Backtested Returns

JOHNSON JOHNSON 295 holds Efficiency (Sharpe) Ratio of -0.13, which attests that the entity had a -0.13% return per unit of risk over the last 3 months. JOHNSON JOHNSON 295 exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JOHNSON's Market Risk Adjusted Performance of (2.69), risk adjusted performance of (0.09), and Coefficient Of Variation of (932.87) to validate the risk estimate we provide. The bond retains a Market Volatility (i.e., Beta) of 0.0181, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JOHNSON's returns are expected to increase less than the market. However, during the bear market, the loss of holding JOHNSON is expected to be smaller as well.

Auto-correlation

    
  0.41  

Average predictability

JOHNSON JOHNSON 295 has average predictability. Overlapping area represents the amount of predictability between JOHNSON time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 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 JOHNSON JOHNSON 295 price movement. The serial correlation of 0.41 indicates that just about 41.0% of current JOHNSON price fluctuation can be explain by its past prices.
Correlation Coefficient0.41
Spearman Rank Test0.5
Residual Average0.0
Price Variance0.37

JOHNSON JOHNSON 295 lagged returns against current returns

Autocorrelation, which is JOHNSON 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 JOHNSON's bond expected returns. We can calculate the autocorrelation of JOHNSON returns to help us make a trade decision. For example, suppose you find that JOHNSON 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  

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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JOHNSON bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JOHNSON bond over time.
   Current vs Lagged Prices   
       Timeline  

JOHNSON Lagged Returns

When evaluating JOHNSON's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JOHNSON bond have on its future price. 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 autocorrelation shows the relationship between JOHNSON bond current value and its past values and can show if there is a momentum factor associated with investing in JOHNSON JOHNSON 295.
   Regressed Prices   
       Timeline  

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Other Information on Investing in JOHNSON Bond

JOHNSON financial ratios help investors to determine whether JOHNSON 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 JOHNSON with respect to the benefits of owning JOHNSON security.