Rwe Ag Pk Stock Market Value

RWEOY Stock  USD 32.70  0.06  0.18%   
RWE AG's market value is the price at which a share of RWE AG trades on a public exchange. It measures the collective expectations of RWE AG PK investors about its performance. RWE AG is trading at 32.70 as of the 31st of October 2024; that is 0.18 percent up since the beginning of the trading day. The stock's open price was 32.64.
With this module, you can estimate the performance of a buy and hold strategy of RWE AG PK and determine expected loss or profit from investing in RWE AG over a given investment horizon. Check out RWE AG Correlation, RWE AG Volatility and RWE AG Alpha and Beta module to complement your research on RWE AG.
Symbol

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

RWE AG '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 RWE AG's pink sheet 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 RWE AG.
0.00
05/04/2024
No Change 0.00  0.0 
In 5 months and 30 days
10/31/2024
0.00
If you would invest  0.00  in RWE AG on May 4, 2024 and sell it all today you would earn a total of 0.00 from holding RWE AG PK or generate 0.0% return on investment in RWE AG over 180 days. RWE AG is related to or competes with Allete, Avista, NorthWestern, AES, Brookfield Infrastructure, and Companhia Paranaense. RWE Aktiengesellschaft generates and supplies electricity from renewable and conventional sources primarily in Europe an... More

RWE AG 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 RWE AG's pink sheet 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 RWE AG PK upside and downside potential and time the market with a certain degree of confidence.

RWE AG Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for RWE AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RWE AG's standard deviation. In reality, there are many statistical measures that can use RWE AG historical prices to predict the future RWE AG's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of RWE AG's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
31.3632.7034.04
Details
Intrinsic
Valuation
LowRealHigh
32.4533.7935.13
Details
Naive
Forecast
LowNextHigh
30.9732.3133.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18.2534.5950.92
Details

RWE AG PK Backtested Returns

RWE AG PK maintains Sharpe Ratio (i.e., Efficiency) of -0.0631, which implies the firm had a -0.0631% return per unit of volatility over the last 3 months. RWE AG PK exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check RWE AG's coefficient of variation of (844.72), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The company holds a Beta of 0.72, which implies possible diversification benefits within a given portfolio. As returns on the market increase, RWE AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding RWE AG is expected to be smaller as well. At this point, RWE AG PK has a negative expected return of -0.0848%. Please make sure to check RWE AG's coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and rate of daily change , to decide if RWE AG PK performance from the past will be repeated at future time.

Auto-correlation

    
  -0.05  

Very weak reverse predictability

RWE AG PK has very weak reverse predictability. Overlapping area represents the amount of predictability between RWE AG time series from 4th of May 2024 to 2nd of August 2024 and 2nd of August 2024 to 31st of October 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 RWE AG PK price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current RWE AG price fluctuation can be explain by its past prices.
Correlation Coefficient-0.05
Spearman Rank Test-0.02
Residual Average0.0
Price Variance1.16

RWE AG PK lagged returns against current returns

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

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

RWE AG Lagged Returns

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

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Additional Tools for RWE Pink Sheet Analysis

When running RWE AG's price analysis, check to measure RWE AG's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy RWE AG is operating at the current time. Most of RWE AG's value examination focuses on studying past and present price action to predict the probability of RWE AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move RWE AG's price. Additionally, you may evaluate how the addition of RWE AG to your portfolios can decrease your overall portfolio volatility.