Office Properties (Germany) Market Value
| GOKA Stock | EUR 1.48 0.02 1.33% |
| Symbol | Office |
Office Properties '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 Office Properties' 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 Office Properties.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Office Properties on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Office Properties Income or generate 0.0% return on investment in Office Properties over 30 days. Office Properties is related to or competes with Boston Properties, and COUSINS PTIES. OPI is a REIT focused on owning, operating and leasing properties primarily leased to single tenants and those with high... More
Office Properties 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 Office Properties' 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 Office Properties Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.7 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 42.36 | |||
| Value At Risk | (9.41) | |||
| Potential Upside | 16.0 |
Office Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Office Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Office Properties' standard deviation. In reality, there are many statistical measures that can use Office Properties historical prices to predict the future Office Properties' volatility.| Risk Adjusted Performance | 0.0091 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.95) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.01) |
Office Properties Income Backtested Returns
At this point, Office Properties is abnormally volatile. Office Properties Income maintains Sharpe Ratio (i.e., Efficiency) of 0.0015, which implies the firm had a 0.0015% return per unit of risk over the last 3 months. We have found thirty technical indicators for Office Properties Income, which you can use to evaluate the volatility of the company. Please check Office Properties' Semi Deviation of 5.2, coefficient of variation of 357603.61, and Risk Adjusted Performance of 0.0091 to confirm if the risk estimate we provide is consistent with the expected return of 0.0108%. The company holds a Beta of 0.56, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Office Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Office Properties is expected to be smaller as well. Office Properties Income right now holds a risk of 7.03%. Please check Office Properties Income semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to decide if Office Properties Income will be following its historical price patterns.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Office Properties Income has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Office Properties time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Office Properties Income price movement. The serial correlation of -0.73 indicates that around 73.0% of current Office Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Office Properties Income lagged returns against current returns
Autocorrelation, which is Office Properties 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 Office Properties' stock expected returns. We can calculate the autocorrelation of Office Properties returns to help us make a trade decision. For example, suppose you find that Office Properties 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 |
Office Properties 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 Office Properties stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Office Properties stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Office Properties stock over time.
Current vs Lagged Prices |
| Timeline |
Office Properties Lagged Returns
When evaluating Office Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Office Properties stock have on its future price. Office Properties 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, Office Properties autocorrelation shows the relationship between Office Properties stock current value and its past values and can show if there is a momentum factor associated with investing in Office Properties Income.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Office Stock
When determining whether Office Properties Income is a strong investment it is important to analyze Office Properties' 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 Office Properties' future performance. For an informed investment choice regarding Office Stock, refer to the following important reports:Check out Office Properties Correlation, Office Properties Volatility and Office Properties Alpha and Beta module to complement your research on Office Properties. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Office Properties 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.