Betapro Sp 500 Etf Market Value

VOLX Etf   7.83  0.31  4.12%   
BetaPro SP's market value is the price at which a share of BetaPro SP trades on a public exchange. It measures the collective expectations of BetaPro SP 500 investors about its performance. BetaPro SP is selling at 7.83 as of the 2nd of February 2025; that is 4.12 percent increase since the beginning of the trading day. The etf's open price was 7.52.
With this module, you can estimate the performance of a buy and hold strategy of BetaPro SP 500 and determine expected loss or profit from investing in BetaPro SP over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol

BetaPro 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 BetaPro SP's etf 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 BetaPro SP.
0.00
01/03/2025
No Change 0.00  0.0 
In 31 days
02/02/2025
0.00
If you would invest  0.00  in BetaPro SP on January 3, 2025 and sell it all today you would earn a total of 0.00 from holding BetaPro SP 500 or generate 0.0% return on investment in BetaPro SP over 30 days.

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

BetaPro SP Market Risk Indicators

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

BetaPro SP 500 Backtested Returns

BetaPro SP 500 secures Sharpe Ratio (or Efficiency) of -0.0543, which signifies that the etf had a -0.0543 % return per unit of risk over the last 3 months. BetaPro SP 500 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BetaPro SP's Risk Adjusted Performance of (0.02), mean deviation of 3.0, and Standard Deviation of 4.52 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of -2.23, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning BetaPro SP are expected to decrease by larger amounts. On the other hand, during market turmoil, BetaPro SP is expected to outperform it.

Auto-correlation

    
  -0.08  

Very weak reverse predictability

BetaPro SP 500 has very weak reverse predictability. Overlapping area represents the amount of predictability between BetaPro SP time series from 3rd of January 2025 to 18th of January 2025 and 18th of January 2025 to 2nd of February 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 BetaPro SP 500 price movement. The serial correlation of -0.08 indicates that barely 8.0% of current BetaPro SP price fluctuation can be explain by its past prices.
Correlation Coefficient-0.08
Spearman Rank Test-0.12
Residual Average0.0
Price Variance0.03

BetaPro SP 500 lagged returns against current returns

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

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

BetaPro SP Lagged Returns

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

Pair Trading with BetaPro SP

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if BetaPro SP position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in BetaPro SP will appreciate offsetting losses from the drop in the long position's value.

Moving against BetaPro Etf

  0.89XSP iShares Core SPPairCorr
  0.8XIU iShares SPTSX 60PairCorr
  0.8XIC iShares Core SPTSXPairCorr
  0.8ZCN BMO SPTSX CappedPairCorr
  0.77ZEB BMO SPTSX EqualPairCorr
The ability to find closely correlated positions to BetaPro SP could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BetaPro SP when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back BetaPro SP - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling BetaPro SP 500 to buy it.
The correlation of BetaPro SP is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as BetaPro SP moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BetaPro SP 500 moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for BetaPro SP can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching