MaxLinear (Germany) Market Value
| JMX Stock | 14.89 1.21 8.85% |
| Symbol | MaxLinear |
MaxLinear '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 MaxLinear'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 MaxLinear.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in MaxLinear on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding MaxLinear or generate 0.0% return on investment in MaxLinear over 30 days.
MaxLinear 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 MaxLinear'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 MaxLinear upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.2 | |||
| Information Ratio | 0.0828 | |||
| Maximum Drawdown | 25.97 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 7.66 |
MaxLinear Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MaxLinear's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MaxLinear's standard deviation. In reality, there are many statistical measures that can use MaxLinear historical prices to predict the future MaxLinear's volatility.| Risk Adjusted Performance | 0.0934 | |||
| Jensen Alpha | 0.5142 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0873 | |||
| Treynor Ratio | (1.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MaxLinear's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
MaxLinear Backtested Returns
MaxLinear appears to be somewhat reliable, given 3 months investment horizon. MaxLinear has Sharpe Ratio of 0.094, which conveys that the firm had a 0.094% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for MaxLinear, which you can use to evaluate the volatility of the firm. Please exercise MaxLinear's Mean Deviation of 3.13, risk adjusted performance of 0.0934, and Downside Deviation of 4.2 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, MaxLinear holds a performance score of 7. The company secures a Beta (Market Risk) of -0.28, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MaxLinear are expected to decrease at a much lower rate. During the bear market, MaxLinear is likely to outperform the market. Please check MaxLinear's skewness, and the relationship between the potential upside and rate of daily change , to make a quick decision on whether MaxLinear's current price movements will revert.
Auto-correlation | 0.64 |
Good predictability
MaxLinear has good predictability. Overlapping area represents the amount of predictability between MaxLinear time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 MaxLinear price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current MaxLinear price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
MaxLinear lagged returns against current returns
Autocorrelation, which is MaxLinear 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 MaxLinear's stock expected returns. We can calculate the autocorrelation of MaxLinear returns to help us make a trade decision. For example, suppose you find that MaxLinear 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 |
MaxLinear 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 MaxLinear stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MaxLinear stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MaxLinear stock over time.
Current vs Lagged Prices |
| Timeline |
MaxLinear Lagged Returns
When evaluating MaxLinear's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MaxLinear stock have on its future price. MaxLinear 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, MaxLinear autocorrelation shows the relationship between MaxLinear stock current value and its past values and can show if there is a momentum factor associated with investing in MaxLinear.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for MaxLinear Stock Analysis
When running MaxLinear's price analysis, check to measure MaxLinear'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 MaxLinear is operating at the current time. Most of MaxLinear's value examination focuses on studying past and present price action to predict the probability of MaxLinear's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MaxLinear's price. Additionally, you may evaluate how the addition of MaxLinear to your portfolios can decrease your overall portfolio volatility.