Cboe Sp 500 Index Market Value

BXMD Index   4,746  6.52  0.14%   
CBOE SP's market value is the price at which a share of CBOE SP trades on a public exchange. It measures the collective expectations of CBOE SP 500 investors about its performance. CBOE SP is enlisted at 4746.11 as of the 14th of December 2024; that is 0.14% up since the beginning of the trading day. The index's open price was 4739.59.
With this module, you can estimate the performance of a buy and hold strategy of CBOE SP 500 and determine expected loss or profit from investing in CBOE SP over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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CBOE SP '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 CBOE SP's index 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 CBOE SP.
0.00
06/17/2024
No Change 0.00  0.0 
In 5 months and 30 days
12/14/2024
0.00
If you would invest  0.00  in CBOE SP on June 17, 2024 and sell it all today you would earn a total of 0.00 from holding CBOE SP 500 or generate 0.0% return on investment in CBOE SP over 180 days.

CBOE SP 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 CBOE SP's index 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 CBOE SP 500 upside and downside potential and time the market with a certain degree of confidence.

CBOE SP Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for CBOE SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CBOE SP's standard deviation. In reality, there are many statistical measures that can use CBOE SP historical prices to predict the future CBOE SP's volatility.

CBOE SP 500 Backtested Returns

CBOE SP 500 secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the index had a 0.23% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for CBOE SP 500, which you can use to evaluate the volatility of the entity. The entity shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CBOE SP are completely uncorrelated.

Auto-correlation

    
  0.61  

Good predictability

CBOE SP 500 has good predictability. Overlapping area represents the amount of predictability between CBOE SP time series from 17th of June 2024 to 15th of September 2024 and 15th of September 2024 to 14th 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 CBOE SP 500 price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current CBOE SP price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.53
Residual Average0.0
Price Variance10 K

CBOE SP 500 lagged returns against current returns

Autocorrelation, which is CBOE SP index'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 CBOE SP's index expected returns. We can calculate the autocorrelation of CBOE SP returns to help us make a trade decision. For example, suppose you find that CBOE SP has exhibited high autocorrelation historically, and you observe that the index 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  

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

CBOE SP Lagged Returns

When evaluating CBOE SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CBOE SP index have on its future price. CBOE SP 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, CBOE SP autocorrelation shows the relationship between CBOE SP index current value and its past values and can show if there is a momentum factor associated with investing in CBOE SP 500.
   Regressed Prices   
       Timeline  

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