Digital Realty (Germany) Market Value

FQI Stock  EUR 170.64  5.60  3.18%   
Digital Realty's market value is the price at which a share of Digital Realty trades on a public exchange. It measures the collective expectations of Digital Realty Trust investors about its performance. Digital Realty is trading at 170.64 as of the 18th of December 2024. This is a 3.18 percent decrease since the beginning of the trading day. The stock's lowest day price was 170.64.
With this module, you can estimate the performance of a buy and hold strategy of Digital Realty Trust and determine expected loss or profit from investing in Digital Realty over a given investment horizon. Check out Digital Realty Correlation, Digital Realty Volatility and Digital Realty Alpha and Beta module to complement your research on Digital Realty.
Symbol

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

Digital Realty '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 Digital Realty'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 Digital Realty.
0.00
10/25/2023
No Change 0.00  0.0 
In 1 year 1 month and 25 days
12/18/2024
0.00
If you would invest  0.00  in Digital Realty on October 25, 2023 and sell it all today you would earn a total of 0.00 from holding Digital Realty Trust or generate 0.0% return on investment in Digital Realty over 420 days. Digital Realty is related to or competes with KB HOME, Natural Health, Taylor Morrison, Haier Smart, Sabra Health, UNITED RENTALS, and FEMALE HEALTH. Digital Realty supports the data center, colocation and interconnection strategies of more than 2,300 firms across its s... More

Digital Realty 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 Digital Realty'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 Digital Realty Trust upside and downside potential and time the market with a certain degree of confidence.

Digital Realty Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Digital Realty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digital Realty's standard deviation. In reality, there are many statistical measures that can use Digital Realty historical prices to predict the future Digital Realty's volatility.
Hype
Prediction
LowEstimatedHigh
174.57176.24177.91
Details
Intrinsic
Valuation
LowRealHigh
158.62200.58202.25
Details

Digital Realty Trust Backtested Returns

Digital Realty appears to be very steady, given 3 months investment horizon. Digital Realty Trust secures Sharpe Ratio (or Efficiency) of 0.18, which denotes the company had a 0.18% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Digital Realty Trust, which you can use to evaluate the volatility of the firm. Please utilize Digital Realty's Coefficient Of Variation of 462.72, downside deviation of 1.07, and Mean Deviation of 1.18 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Digital Realty holds a performance score of 14. The firm shows a Beta (market volatility) of 0.12, which means not very significant fluctuations relative to the market. As returns on the market increase, Digital Realty's returns are expected to increase less than the market. However, during the bear market, the loss of holding Digital Realty is expected to be smaller as well. Please check Digital Realty's total risk alpha, value at risk, and the relationship between the standard deviation and treynor ratio , to make a quick decision on whether Digital Realty's price patterns will revert.

Auto-correlation

    
  0.55  

Modest predictability

Digital Realty Trust has modest predictability. Overlapping area represents the amount of predictability between Digital Realty time series from 25th of October 2023 to 22nd of May 2024 and 22nd of May 2024 to 18th 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 Digital Realty Trust price movement. The serial correlation of 0.55 indicates that about 55.0% of current Digital Realty price fluctuation can be explain by its past prices.
Correlation Coefficient0.55
Spearman Rank Test0.64
Residual Average0.0
Price Variance255.61

Digital Realty Trust lagged returns against current returns

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

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

Digital Realty Lagged Returns

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

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in Digital Stock

When determining whether Digital Realty Trust is a strong investment it is important to analyze Digital Realty'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 Digital Realty's future performance. For an informed investment choice regarding Digital Stock, refer to the following important reports:
Check out Digital Realty Correlation, Digital Realty Volatility and Digital Realty Alpha and Beta module to complement your research on Digital Realty.
You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Digital Realty technical stock 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, stock market cycles, or different charting patterns.
A focus of Digital Realty technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Digital Realty 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...