GUARDN 1625 16 SEP 28 Market Value

40139LBE2   84.24  0.00  0.00%   
GUARDN's market value is the price at which a share of GUARDN trades on an exchange. It measures the collective expectations of GUARDN 1625 16 SEP 28 investors about the bond's future performance. With this module, you can estimate the performance of a buy and hold strategy of GUARDN 1625 16 SEP 28 and determine expected loss or profit from investing in GUARDN over a given investment horizon.
Check out GUARDN Correlation, GUARDN Volatility and GUARDN Alpha and Beta module to complement your research on GUARDN.
Symbol

Please note, there is a significant difference between GUARDN's value and its price as these two are different measures arrived at by different means. Investors typically determine if GUARDN is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GUARDN'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.

GUARDN '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 GUARDN'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 GUARDN.
0.00
09/02/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/01/2024
0.00
If you would invest  0.00  in GUARDN on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding GUARDN 1625 16 SEP 28 or generate 0.0% return on investment in GUARDN over 90 days. GUARDN is related to or competes with ATT, Home Depot, Cisco Systems, Dupont De, GE Aerospace, Johnson Johnson, and Intel. More

GUARDN 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 GUARDN'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 GUARDN 1625 16 SEP 28 upside and downside potential and time the market with a certain degree of confidence.

GUARDN Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for GUARDN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GUARDN's standard deviation. In reality, there are many statistical measures that can use GUARDN historical prices to predict the future GUARDN's volatility.
Hype
Prediction
LowEstimatedHigh
82.8484.2485.64
Details
Intrinsic
Valuation
LowRealHigh
75.8285.9287.32
Details
Naive
Forecast
LowNextHigh
81.3082.6984.09
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
84.0088.3592.69
Details

GUARDN 1625 16 Backtested Returns

GUARDN 1625 16 retains Efficiency (Sharpe Ratio) of -0.3, which attests that the entity had a -0.3% return per unit of risk over the last 3 months. GUARDN exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GUARDN's Variance of 3.05, market risk adjusted performance of (0.29), and Coefficient Of Variation of (4,103) to validate the risk estimate we provide. The bond owns a Beta (Systematic Risk) of 0.18, which attests to not very significant fluctuations relative to the market. As returns on the market increase, GUARDN's returns are expected to increase less than the market. However, during the bear market, the loss of holding GUARDN is expected to be smaller as well.

Auto-correlation

    
  -0.34  

Poor reverse predictability

GUARDN 1625 16 SEP 28 has poor reverse predictability. Overlapping area represents the amount of predictability between GUARDN time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st of December 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 GUARDN 1625 16 price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current GUARDN price fluctuation can be explain by its past prices.
Correlation Coefficient-0.34
Spearman Rank Test-0.4
Residual Average0.0
Price Variance4.39

GUARDN 1625 16 lagged returns against current returns

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

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

GUARDN Lagged Returns

When evaluating GUARDN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GUARDN bond have on its future price. GUARDN 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, GUARDN autocorrelation shows the relationship between GUARDN bond current value and its past values and can show if there is a momentum factor associated with investing in GUARDN 1625 16 SEP 28.
   Regressed Prices   
       Timeline  

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Other Information on Investing in GUARDN Bond

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