M N (Malaysia) Market Value

0103 Stock   0.11  0.01  10.00%   
M N's market value is the price at which a share of M N trades on a public exchange. It measures the collective expectations of M N C investors about its performance. M N is selling for 0.11 as of the 27th of December 2024. This is a 10.00 percent increase since the beginning of the trading day. The stock's lowest day price was 0.095.
With this module, you can estimate the performance of a buy and hold strategy of M N C and determine expected loss or profit from investing in M N over a given investment horizon. Check out M N Correlation, M N Volatility and M N Alpha and Beta module to complement your research on M N.
Symbol

Please note, there is a significant difference between M N's value and its price as these two are different measures arrived at by different means. Investors typically determine if M N is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, M N's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
11/27/2024
No Change 0.00  0.0 
In 31 days
12/27/2024
0.00
If you would invest  0.00  in M N on November 27, 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 30 days. M N is related to or competes with Hartalega Holdings, Sunway Construction, Inari Amertron, OSK Holdings, Dagang Nexchange, and FARM FRESH. 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.

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.
Hype
Prediction
LowEstimatedHigh
0.010.118.21
Details
Intrinsic
Valuation
LowRealHigh
0.000.088.18
Details

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 0.91% is justified by implied risk. Please exercise M N's Mean Deviation of 5.05, market risk adjusted performance of 2.62, and Downside Deviation of 10.1 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 0.43, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, M N's returns are expected to increase less than the market. However, during the bear market, the loss of holding M N is expected to be smaller as well. 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

    
  0.12  

Insignificant predictability

M N C has insignificant predictability. Overlapping area represents the amount of predictability between M N time series from 27th of November 2024 to 12th of December 2024 and 12th of December 2024 to 27th 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 0.12 indicates that less than 12.0% of current M N price fluctuation can be explain by its past prices.
Correlation Coefficient0.12
Spearman Rank Test0.87
Residual Average0.0
Price Variance0.0

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  

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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.