M N (Malaysia) Market Value
| 0103 Stock | 0.11 0.01 10.00% |
| Symbol | 0103 |
M N '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 M N'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 M N.
| 09/26/2024 |
| 12/25/2024 |
If you would invest 0.00 in M N on September 26, 2024 and sell it all today you would earn a total of 0.00 from holding M N C or generate 0.0% return on investment in M N over 90 days. M N is related to or competes with Greatech Technology, JF Technology, Petronas Chemicals, CB Industrial, Eonmetall Group, MI Technovation, and Computer Forms. More
M N 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 M N'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 M N C upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.89 | |||
| Information Ratio | 0.1147 | |||
| Maximum Drawdown | 52.08 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 22.22 |
M N Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for M N's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as M N's standard deviation. In reality, there are many statistical measures that can use M N historical prices to predict the future M N's volatility.| Risk Adjusted Performance | 0.105 | |||
| Jensen Alpha | 1.02 | |||
| Total Risk Alpha | 0.6387 | |||
| Sortino Ratio | 0.0983 | |||
| Treynor Ratio | (2.01) |
M N C Backtested Returns
M N appears to be out of control, given 3 months investment horizon. M N C has Sharpe Ratio of 0.11, which conveys that the company had a 0.11% return per unit of volatility over the last 3 months. By examining M N's technical indicators, you can evaluate if the expected return of 0.9% is justified by implied risk. Please exercise M N's Downside Deviation of 9.89, mean deviation of 5.08, and Market Risk Adjusted Performance of (2.00) to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, M N holds a performance score of 8. The firm secures a Beta (Market Risk) of -0.5, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning M N are expected to decrease at a much lower rate. During the bear market, M N is likely to outperform the market. Please check M N's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to make a quick decision on whether M N's current price movements will revert.
Auto-correlation | -0.57 |
Good reverse predictability
M N C has good reverse predictability. Overlapping area represents the amount of predictability between M N time series from 26th of September 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 M N C price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current M N price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.57 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
M N C lagged returns against current returns
Autocorrelation, which is M N 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 M N's stock expected returns. We can calculate the autocorrelation of M N returns to help us make a trade decision. For example, suppose you find that M N 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 |
M N 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 M N stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if M N stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in M N stock over time.
Current vs Lagged Prices |
| Timeline |
M N Lagged Returns
When evaluating M N's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of M N stock have on its future price. M N 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, M N autocorrelation shows the relationship between M N stock current value and its past values and can show if there is a momentum factor associated with investing in M N C.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in 0103 Stock
M N financial ratios help investors to determine whether 0103 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 0103 with respect to the benefits of owning M N security.