WPP Dusseldorf (Germany) Market Value

0WP Stock  EUR 10.20  0.20  2.00%   
WPP Dusseldorf's market value is the price at which a share of WPP Dusseldorf trades on a public exchange. It measures the collective expectations of WPP Dusseldorf investors about its performance. WPP Dusseldorf is selling for under 10.20 as of the 1st of December 2024; that is 2.00 percent increase since the beginning of the trading day. The stock's last reported lowest price was 10.2.
With this module, you can estimate the performance of a buy and hold strategy of WPP Dusseldorf and determine expected loss or profit from investing in WPP Dusseldorf over a given investment horizon. Check out WPP Dusseldorf Correlation, WPP Dusseldorf Volatility and WPP Dusseldorf Alpha and Beta module to complement your research on WPP Dusseldorf.
Symbol

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

WPP Dusseldorf '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 WPP Dusseldorf's stock 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 WPP Dusseldorf.
0.00
09/02/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/01/2024
0.00
If you would invest  0.00  in WPP Dusseldorf on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding WPP Dusseldorf or generate 0.0% return on investment in WPP Dusseldorf over 90 days. WPP Dusseldorf is related to or competes with Pebblebrook Hotel, Summit Hotel, MHP Hotel, Xenia Hotels, and MINCO SILVER. More

WPP Dusseldorf 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 WPP Dusseldorf's stock 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 WPP Dusseldorf upside and downside potential and time the market with a certain degree of confidence.

WPP Dusseldorf Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for WPP Dusseldorf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WPP Dusseldorf's standard deviation. In reality, there are many statistical measures that can use WPP Dusseldorf historical prices to predict the future WPP Dusseldorf's volatility.
Hype
Prediction
LowEstimatedHigh
8.6410.2011.76
Details
Intrinsic
Valuation
LowRealHigh
6.367.9211.22
Details
Naive
Forecast
LowNextHigh
8.9110.4712.03
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.569.9610.36
Details

WPP Dusseldorf Backtested Returns

WPP Dusseldorf appears to be not too volatile, given 3 months investment horizon. WPP Dusseldorf shows Sharpe Ratio of 0.2, which attests that the company had a 0.2% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for WPP Dusseldorf, which you can use to evaluate the volatility of the company. Please utilize WPP Dusseldorf's Downside Deviation of 1.3, mean deviation of 1.19, and Risk Adjusted Performance of 0.1587 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, WPP Dusseldorf holds a performance score of 15. The firm maintains a market beta of -0.0918, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning WPP Dusseldorf are expected to decrease at a much lower rate. During the bear market, WPP Dusseldorf is likely to outperform the market. Please check WPP Dusseldorf's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether WPP Dusseldorf's historical returns will revert.

Auto-correlation

    
  0.61  

Good predictability

WPP Dusseldorf has good predictability. Overlapping area represents the amount of predictability between WPP Dusseldorf time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st 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 WPP Dusseldorf price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current WPP Dusseldorf price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.52
Residual Average0.0
Price Variance0.07

WPP Dusseldorf lagged returns against current returns

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

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

WPP Dusseldorf Lagged Returns

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

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for WPP Stock Analysis

When running WPP Dusseldorf's price analysis, check to measure WPP Dusseldorf'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 WPP Dusseldorf is operating at the current time. Most of WPP Dusseldorf's value examination focuses on studying past and present price action to predict the probability of WPP Dusseldorf's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WPP Dusseldorf's price. Additionally, you may evaluate how the addition of WPP Dusseldorf to your portfolios can decrease your overall portfolio volatility.