Minerals Technologies (Germany) Market Value
| MNK Stock | EUR 71.00 2.00 2.74% |
| Symbol | Minerals |
Minerals Technologies '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 Minerals Technologies' 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 Minerals Technologies.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in Minerals Technologies on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding Minerals Technologies or generate 0.0% return on investment in Minerals Technologies over 30 days. Minerals Technologies is related to or competes with TITANIUM TRANSPORTGROUP, SCIENCE IN, Hanover Insurance, Vienna Insurance, Universal Insurance, Singapore Reinsurance, and NTG Nordic. Minerals Technologies Inc. develops, produces, and markets various specialty mineral, mineral-based, and synthetic miner... More
Minerals Technologies 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 Minerals Technologies' 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 Minerals Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.78 | |||
| Information Ratio | 0.0518 | |||
| Maximum Drawdown | 9.37 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 4.08 |
Minerals Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Minerals Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Minerals Technologies' standard deviation. In reality, there are many statistical measures that can use Minerals Technologies historical prices to predict the future Minerals Technologies' volatility.| Risk Adjusted Performance | 0.0594 | |||
| Jensen Alpha | 0.1253 | |||
| Total Risk Alpha | 0.0758 | |||
| Sortino Ratio | 0.0571 | |||
| Treynor Ratio | (0.37) |
Minerals Technologies Backtested Returns
At this point, Minerals Technologies is very steady. Minerals Technologies has Sharpe Ratio of 0.0591, which conveys that the firm had a 0.0591% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Minerals Technologies, which you can use to evaluate the volatility of the firm. Please verify Minerals Technologies' Risk Adjusted Performance of 0.0594, downside deviation of 1.78, and Mean Deviation of 1.46 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. Minerals Technologies has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.32, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Minerals Technologies are expected to decrease at a much lower rate. During the bear market, Minerals Technologies is likely to outperform the market. Minerals Technologies right now secures a risk of 2.01%. Please verify Minerals Technologies total risk alpha, value at risk, expected short fall, as well as the relationship between the treynor ratio and downside variance , to decide if Minerals Technologies will be following its current price movements.
Auto-correlation | -0.81 |
Excellent reverse predictability
Minerals Technologies has excellent reverse predictability. Overlapping area represents the amount of predictability between Minerals Technologies time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Minerals Technologies price movement. The serial correlation of -0.81 indicates that around 81.0% of current Minerals Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.63 |
Minerals Technologies lagged returns against current returns
Autocorrelation, which is Minerals Technologies 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 Minerals Technologies' stock expected returns. We can calculate the autocorrelation of Minerals Technologies returns to help us make a trade decision. For example, suppose you find that Minerals Technologies 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 |
Minerals Technologies 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 Minerals Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Minerals Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Minerals Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Minerals Technologies Lagged Returns
When evaluating Minerals Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Minerals Technologies stock have on its future price. Minerals Technologies 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, Minerals Technologies autocorrelation shows the relationship between Minerals Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Minerals Technologies.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin | |
| ADA | Cardano | |
| XRP | XRP |
Additional Information and Resources on Investing in Minerals Stock
When determining whether Minerals Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Minerals Technologies' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Minerals Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Minerals Technologies Stock:Check out Minerals Technologies Correlation, Minerals Technologies Volatility and Minerals Technologies Alpha and Beta module to complement your research on Minerals Technologies. For more detail on how to invest in Minerals Stock please use our How to Invest in Minerals Technologies guide.You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Minerals Technologies 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.