Knowles (Germany) Market Value
1K3 Stock | EUR 18.40 0.20 1.10% |
Symbol | Knowles |
Knowles '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 Knowles' 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 Knowles.
11/02/2024 |
| 12/02/2024 |
If you would invest 0.00 in Knowles on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Knowles or generate 0.0% return on investment in Knowles over 30 days. Knowles is related to or competes with Tyson Foods, COFCO Joycome, ULTRA CLEAN, THAI BEVERAGE, and NISSIN FOODS. Knowles Corporation designs, manufactures, and sells micro-acoustic, audio processing, and precision device solutions fo... More
Knowles 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 Knowles' 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 Knowles upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.91 | |||
Information Ratio | 0.0235 | |||
Maximum Drawdown | 12.01 | |||
Value At Risk | (3.23) | |||
Potential Upside | 3.87 |
Knowles Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Knowles' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Knowles' standard deviation. In reality, there are many statistical measures that can use Knowles historical prices to predict the future Knowles' volatility.Risk Adjusted Performance | 0.0762 | |||
Jensen Alpha | 0.0338 | |||
Total Risk Alpha | (0.16) | |||
Sortino Ratio | 0.0249 | |||
Treynor Ratio | 0.1581 |
Knowles Backtested Returns
Knowles appears to be not too volatile, given 3 months investment horizon. Knowles has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Knowles, which you can use to evaluate the volatility of the firm. Please exercise Knowles' Risk Adjusted Performance of 0.0762, mean deviation of 1.37, and Downside Deviation of 1.91 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Knowles holds a performance score of 8. The company secures a Beta (Market Risk) of 1.11, which conveys a somewhat significant risk relative to the market. Knowles returns are very sensitive to returns on the market. As the market goes up or down, Knowles is expected to follow. Please check Knowles' downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Knowles' current price movements will revert.
Auto-correlation | 0.58 |
Modest predictability
Knowles has modest predictability. Overlapping area represents the amount of predictability between Knowles time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd 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 Knowles price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Knowles price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.58 | |
Spearman Rank Test | -0.01 | |
Residual Average | 0.0 | |
Price Variance | 0.39 |
Knowles lagged returns against current returns
Autocorrelation, which is Knowles 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 Knowles' stock expected returns. We can calculate the autocorrelation of Knowles returns to help us make a trade decision. For example, suppose you find that Knowles 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 |
Knowles 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 Knowles stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Knowles stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Knowles stock over time.
Current vs Lagged Prices |
Timeline |
Knowles Lagged Returns
When evaluating Knowles' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Knowles stock have on its future price. Knowles 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, Knowles autocorrelation shows the relationship between Knowles stock current value and its past values and can show if there is a momentum factor associated with investing in Knowles.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Knowles Stock
Knowles financial ratios help investors to determine whether Knowles Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Knowles with respect to the benefits of owning Knowles security.