FNF 32 17 SEP 51 Market Value

31620RAL9   62.75  0.70  1.13%   
31620RAL9's market value is the price at which a share of 31620RAL9 trades on an exchange. It measures the collective expectations of FNF 32 17 SEP 51 investors about the bond's future performance. With this module, you can estimate the performance of a buy and hold strategy of FNF 32 17 SEP 51 and determine expected loss or profit from investing in 31620RAL9 over a given investment horizon.
Check out 31620RAL9 Correlation, 31620RAL9 Volatility and 31620RAL9 Alpha and Beta module to complement your research on 31620RAL9.
Symbol

Please note, there is a significant difference between 31620RAL9's value and its price as these two are different measures arrived at by different means. Investors typically determine if 31620RAL9 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 31620RAL9'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.

31620RAL9 '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 31620RAL9'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 31620RAL9.
0.00
03/20/2023
No Change 0.00  0.0 
In 1 year 11 months and 21 days
03/09/2025
0.00
If you would invest  0.00  in 31620RAL9 on March 20, 2023 and sell it all today you would earn a total of 0.00 from holding FNF 32 17 SEP 51 or generate 0.0% return on investment in 31620RAL9 over 720 days. 31620RAL9 is related to or competes with Tesla, Bassett Furniture, JBG SMITH, Reservoir Media, NETGEAR, and Pinterest. More

31620RAL9 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 31620RAL9'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 FNF 32 17 SEP 51 upside and downside potential and time the market with a certain degree of confidence.

31620RAL9 Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for 31620RAL9's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 31620RAL9's standard deviation. In reality, there are many statistical measures that can use 31620RAL9 historical prices to predict the future 31620RAL9's volatility.
Hype
Prediction
LowEstimatedHigh
61.1962.7564.31
Details
Intrinsic
Valuation
LowRealHigh
51.2252.7869.03
Details
Naive
Forecast
LowNextHigh
61.0562.6164.17
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
59.1762.0864.99
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 31620RAL9. Your research has to be compared to or analyzed against 31620RAL9's peers to derive any actionable benefits. When done correctly, 31620RAL9'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 FNF 32 17.

FNF 32 17 Backtested Returns

At this point, 31620RAL9 is very steady. FNF 32 17 secures Sharpe Ratio (or Efficiency) of 0.0324, which signifies that the bond had a 0.0324 % return per unit of price deviation over the last 3 months. We have found twenty-one technical indicators for FNF 32 17 SEP 51, which you can use to evaluate the volatility of the entity. Please confirm 31620RAL9's Information Ratio of (0.02), standard deviation of 1.38, and Mean Deviation of 1.1 to double-check if the risk estimate we provide is consistent with the expected return of 0.0507%. The bond shows a Beta (market volatility) of -0.49, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning 31620RAL9 are expected to decrease at a much lower rate. During the bear market, 31620RAL9 is likely to outperform the market.

Auto-correlation

    
  0.12  

Insignificant predictability

FNF 32 17 SEP 51 has insignificant predictability. Overlapping area represents the amount of predictability between 31620RAL9 time series from 20th of March 2023 to 14th of March 2024 and 14th of March 2024 to 9th 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 FNF 32 17 price movement. The serial correlation of 0.12 indicates that less than 12.0% of current 31620RAL9 price fluctuation can be explain by its past prices.
Correlation Coefficient0.12
Spearman Rank Test0.21
Residual Average0.0
Price Variance4.19
31620RAL9 Returns31620RAL9 Lagged ReturnsDiversified Away31620RAL9 Returns31620RAL9 Lagged ReturnsDiversified Away100%

FNF 32 17 lagged returns against current returns

Autocorrelation, which is 31620RAL9 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 31620RAL9's bond expected returns. We can calculate the autocorrelation of 31620RAL9 returns to help us make a trade decision. For example, suppose you find that 31620RAL9 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   
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JavaScript chart by amCharts 3.21.15Volume Lagged Volume Prices Lagged Prices
       Timeline  

31620RAL9 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 31620RAL9 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 31620RAL9 bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 31620RAL9 bond over time.
   Current vs Lagged Prices   
JavaScript chart by amCharts 3.21.15210022002300240025002600270028002900300057585960616263
JavaScript chart by amCharts 3.21.15Regression Prices Lagged Regression Prices
       Timeline  

31620RAL9 Lagged Returns

When evaluating 31620RAL9's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 31620RAL9 bond have on its future price. 31620RAL9 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, 31620RAL9 autocorrelation shows the relationship between 31620RAL9 bond current value and its past values and can show if there is a momentum factor associated with investing in FNF 32 17 SEP 51.
   Regressed Prices   
JavaScript chart by amCharts 3.21.152100220023002400250026002700280029003000525456586062646668
JavaScript chart by amCharts 3.21.15Lagged Returns Returns
       Timeline  

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Other Information on Investing in 31620RAL9 Bond

31620RAL9 financial ratios help investors to determine whether 31620RAL9 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 31620RAL9 with respect to the benefits of owning 31620RAL9 security.
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