SPG 225 15 JAN 32 Market Value

828807DQ7   85.25  0.69  0.82%   
828807DQ7's market value is the price at which a share of 828807DQ7 trades on an exchange. It measures the collective expectations of SPG 225 15 JAN 32 investors about the bond's future performance. With this module, you can estimate the performance of a buy and hold strategy of SPG 225 15 JAN 32 and determine expected loss or profit from investing in 828807DQ7 over a given investment horizon.
Check out 828807DQ7 Correlation, 828807DQ7 Volatility and 828807DQ7 Alpha and Beta module to complement your research on 828807DQ7.
Symbol

Please note, there is a significant difference between 828807DQ7's value and its price as these two are different measures arrived at by different means. Investors typically determine if 828807DQ7 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 828807DQ7'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.

828807DQ7 '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 828807DQ7'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 828807DQ7.
0.00
04/11/2023
No Change 0.00  0.0 
In 1 year 11 months and 22 days
03/31/2025
0.00
If you would invest  0.00  in 828807DQ7 on April 11, 2023 and sell it all today you would earn a total of 0.00 from holding SPG 225 15 JAN 32 or generate 0.0% return on investment in 828807DQ7 over 720 days. 828807DQ7 is related to or competes with Avadel Pharmaceuticals, G III, Akso Health, Amgen, Skechers USA, Sonida Senior, and Columbia Sportswear. More

828807DQ7 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 828807DQ7'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 SPG 225 15 JAN 32 upside and downside potential and time the market with a certain degree of confidence.

828807DQ7 Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for 828807DQ7's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 828807DQ7's standard deviation. In reality, there are many statistical measures that can use 828807DQ7 historical prices to predict the future 828807DQ7's volatility.
Hype
Prediction
LowEstimatedHigh
84.8585.2585.65
Details
Intrinsic
Valuation
LowRealHigh
83.6784.0693.78
Details
Naive
Forecast
LowNextHigh
84.0184.4284.82
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
79.6483.1786.70
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 828807DQ7. Your research has to be compared to or analyzed against 828807DQ7's peers to derive any actionable benefits. When done correctly, 828807DQ7'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 SPG 225 15.

SPG 225 15 Backtested Returns

At this point, 828807DQ7 is very steady. SPG 225 15 secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the bond had a 0.11 % return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for SPG 225 15 JAN 32, which you can use to evaluate the volatility of the entity. Please confirm 828807DQ7's Semi Deviation of 0.9494, coefficient of variation of 2305.09, and Risk Adjusted Performance of 0.0392 to double-check if the risk estimate we provide is consistent with the expected return of 0.0434%. The bond shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, 828807DQ7's returns are expected to increase less than the market. However, during the bear market, the loss of holding 828807DQ7 is expected to be smaller as well.

Auto-correlation

    
  -0.25  

Weak reverse predictability

SPG 225 15 JAN 32 has weak reverse predictability. Overlapping area represents the amount of predictability between 828807DQ7 time series from 11th of April 2023 to 5th of April 2024 and 5th of April 2024 to 31st of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SPG 225 15 price movement. The serial correlation of -0.25 indicates that over 25.0% of current 828807DQ7 price fluctuation can be explain by its past prices.
Correlation Coefficient-0.25
Spearman Rank Test-0.03
Residual Average0.0
Price Variance3.65
828807DQ7 Returns828807DQ7 Lagged ReturnsDiversified Away828807DQ7 Returns828807DQ7 Lagged ReturnsDiversified Away100%

SPG 225 15 lagged returns against current returns

Autocorrelation, which is 828807DQ7 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 828807DQ7's bond expected returns. We can calculate the autocorrelation of 828807DQ7 returns to help us make a trade decision. For example, suppose you find that 828807DQ7 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   
JavaScript chart by amCharts 3.21.15JulOct2025AprJulOct-8%-6%-4%-2%0%2%4%6%8%
JavaScript chart by amCharts 3.21.15Volume Lagged Volume Prices Lagged Prices
       Timeline  

828807DQ7 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 828807DQ7 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 828807DQ7 bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 828807DQ7 bond over time.
   Current vs Lagged Prices   
JavaScript chart by amCharts 3.21.15JulOct2025AprJulOct777879808182838485
JavaScript chart by amCharts 3.21.15Regression Prices Lagged Regression Prices
       Timeline  

828807DQ7 Lagged Returns

When evaluating 828807DQ7's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 828807DQ7 bond have on its future price. 828807DQ7 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, 828807DQ7 autocorrelation shows the relationship between 828807DQ7 bond current value and its past values and can show if there is a momentum factor associated with investing in SPG 225 15 JAN 32.
   Regressed Prices   
JavaScript chart by amCharts 3.21.15Jul2024Jul2025Jul7274767880828486
JavaScript chart by amCharts 3.21.15Lagged Returns Returns
       Timeline  

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Other Information on Investing in 828807DQ7 Bond

828807DQ7 financial ratios help investors to determine whether 828807DQ7 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 828807DQ7 with respect to the benefits of owning 828807DQ7 security.
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