Parametric Equity Plus Etf Market Value

PEPS Etf   29.71  0.08  0.27%   
Parametric Equity's market value is the price at which a share of Parametric Equity trades on a public exchange. It measures the collective expectations of Parametric Equity Plus investors about its performance. Parametric Equity is selling for under 29.71 as of the 25th of December 2025; that is 0.27 percent increase since the beginning of the trading day. The etf's lowest day price was 29.69.
With this module, you can estimate the performance of a buy and hold strategy of Parametric Equity Plus and determine expected loss or profit from investing in Parametric Equity over a given investment horizon. Check out Parametric Equity Correlation, Parametric Equity Volatility and Parametric Equity Alpha and Beta module to complement your research on Parametric Equity.
Symbol

The market value of Parametric Equity Plus is measured differently than its book value, which is the value of Parametric that is recorded on the company's balance sheet. Investors also form their own opinion of Parametric Equity's value that differs from its market value or its book value, called intrinsic value, which is Parametric Equity's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Parametric Equity's market value can be influenced by many factors that don't directly affect Parametric Equity's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Parametric Equity's value and its price as these two are different measures arrived at by different means. Investors typically determine if Parametric Equity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Parametric Equity'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.

Parametric Equity '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 Parametric Equity'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 Parametric Equity.
0.00
06/28/2025
No Change 0.00  0.0 
In 5 months and 30 days
12/25/2025
0.00
If you would invest  0.00  in Parametric Equity on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Parametric Equity Plus or generate 0.0% return on investment in Parametric Equity over 180 days. Parametric Equity is related to or competes with Listed Funds, SPDR SSGA, TrueShares Structured, AIM ETF, Innovator Equity, FT Cboe, and JP Morgan. More

Parametric Equity 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 Parametric Equity'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 Parametric Equity Plus upside and downside potential and time the market with a certain degree of confidence.

Parametric Equity Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Parametric Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Parametric Equity's standard deviation. In reality, there are many statistical measures that can use Parametric Equity historical prices to predict the future Parametric Equity's volatility.
Hype
Prediction
LowEstimatedHigh
28.8129.7230.63
Details
Intrinsic
Valuation
LowRealHigh
28.5629.4730.38
Details
Naive
Forecast
LowNextHigh
28.5729.4830.39
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.0228.9629.90
Details

Parametric Equity Plus Backtested Returns

Currently, Parametric Equity Plus is very steady. Parametric Equity Plus maintains Sharpe Ratio (i.e., Efficiency) of 0.0997, which implies the entity had a 0.0997 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Parametric Equity Plus, which you can use to evaluate the volatility of the etf. Please check Parametric Equity's Risk Adjusted Performance of 0.0723, coefficient of variation of 1003.23, and Semi Deviation of 0.9685 to confirm if the risk estimate we provide is consistent with the expected return of 0.09%. The etf holds a Beta of 0.0193, which implies not very significant fluctuations relative to the market. As returns on the market increase, Parametric Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Parametric Equity is expected to be smaller as well.

Auto-correlation

    
  0.61  

Good predictability

Parametric Equity Plus has good predictability. Overlapping area represents the amount of predictability between Parametric Equity time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Parametric Equity Plus price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Parametric Equity price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.64
Residual Average0.0
Price Variance0.24

Parametric Equity Plus lagged returns against current returns

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

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

Parametric Equity Lagged Returns

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Parametric Equity Plus is a strong investment it is important to analyze Parametric Equity's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Parametric Equity's future performance. For an informed investment choice regarding Parametric Etf, refer to the following important reports:
Check out Parametric Equity Correlation, Parametric Equity Volatility and Parametric Equity Alpha and Beta module to complement your research on Parametric Equity.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Parametric Equity technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of Parametric Equity technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Parametric Equity trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...