Online Brands (Sweden) Market Value
| OBAB Stock | SEK 10.55 0.30 2.76% |
| Symbol | Online |
Online Brands '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 Online Brands' 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 Online Brands.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Online Brands on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Online Brands Nordic or generate 0.0% return on investment in Online Brands over 30 days. Online Brands is related to or competes with NetJobs Group, Doxa AB, and Clean Motion. Online Brands Nordic AB operates online jewelry stores More
Online Brands 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 Online Brands' 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 Online Brands Nordic upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 28.87 | |||
| Value At Risk | (7.66) | |||
| Potential Upside | 10.14 |
Online Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Online Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Online Brands' standard deviation. In reality, there are many statistical measures that can use Online Brands historical prices to predict the future Online Brands' volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (1.24) |
Online Brands Nordic Backtested Returns
Online Brands Nordic maintains Sharpe Ratio (i.e., Efficiency) of -0.0456, which implies the firm had a -0.0456% return per unit of risk over the last 3 months. Online Brands Nordic exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Online Brands' Risk Adjusted Performance of (0.03), coefficient of variation of (1,840), and Variance of 24.43 to confirm the risk estimate we provide. The company holds a Beta of 0.22, which implies not very significant fluctuations relative to the market. As returns on the market increase, Online Brands' returns are expected to increase less than the market. However, during the bear market, the loss of holding Online Brands is expected to be smaller as well. At this point, Online Brands Nordic has a negative expected return of -0.23%. Please make sure to check Online Brands' total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Online Brands Nordic performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.66 |
Very good reverse predictability
Online Brands Nordic has very good reverse predictability. Overlapping area represents the amount of predictability between Online Brands time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 Online Brands Nordic price movement. The serial correlation of -0.66 indicates that around 66.0% of current Online Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
Online Brands Nordic lagged returns against current returns
Autocorrelation, which is Online Brands 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 Online Brands' stock expected returns. We can calculate the autocorrelation of Online Brands returns to help us make a trade decision. For example, suppose you find that Online Brands 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 |
Online Brands 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 Online Brands stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Online Brands stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Online Brands stock over time.
Current vs Lagged Prices |
| Timeline |
Online Brands Lagged Returns
When evaluating Online Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Online Brands stock have on its future price. Online Brands 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, Online Brands autocorrelation shows the relationship between Online Brands stock current value and its past values and can show if there is a momentum factor associated with investing in Online Brands Nordic.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Online Stock Analysis
When running Online Brands' price analysis, check to measure Online Brands' 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 Online Brands is operating at the current time. Most of Online Brands' value examination focuses on studying past and present price action to predict the probability of Online Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Online Brands' price. Additionally, you may evaluate how the addition of Online Brands to your portfolios can decrease your overall portfolio volatility.