Matthews China Fund Technical Analysis
MCHFX Fund | USD 13.84 0.35 2.59% |
As of the 2nd of December, Matthews China secures the Downside Deviation of 2.61, mean deviation of 2.07, and Risk Adjusted Performance of 0.1039. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Matthews China, as well as the relationship between them.
Matthews China Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Matthews, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MatthewsMatthews |
Matthews China technical mutual fund 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, fund market cycles, or different charting patterns.
Matthews China Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Matthews China volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Matthews China Trend Analysis
Use this graph to draw trend lines for Matthews China Fund. You can use it to identify possible trend reversals for Matthews China as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Matthews China price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Matthews China Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Matthews China Fund applied against its price change over selected period. The best fit line has a slop of 0.04 , which means Matthews China Fund will continue generating value for investors. It has 122 observation points and a regression sum of squares at 63.34, which is the sum of squared deviations for the predicted Matthews China price change compared to its average price change.About Matthews China Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Matthews China Fund on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Matthews China Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Matthews China price pattern first instead of the macroeconomic environment surrounding Matthews China. By analyzing Matthews China's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Matthews China's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Matthews China specific price patterns or momentum indicators. Please read more on our technical analysis page.
Matthews China December 2, 2024 Technical Indicators
Most technical analysis of Matthews help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Matthews from various momentum indicators to cycle indicators. When you analyze Matthews charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.1039 | |||
Market Risk Adjusted Performance | 2.15 | |||
Mean Deviation | 2.07 | |||
Semi Deviation | 2.28 | |||
Downside Deviation | 2.61 | |||
Coefficient Of Variation | 792.79 | |||
Standard Deviation | 3.05 | |||
Variance | 9.28 | |||
Information Ratio | 0.081 | |||
Jensen Alpha | 0.352 | |||
Total Risk Alpha | (0.13) | |||
Sortino Ratio | 0.0945 | |||
Treynor Ratio | 2.14 | |||
Maximum Drawdown | 19.23 | |||
Value At Risk | (3.22) | |||
Potential Upside | 5.67 | |||
Downside Variance | 6.82 | |||
Semi Variance | 5.21 | |||
Expected Short fall | (2.73) | |||
Skewness | 0.329 | |||
Kurtosis | 2.72 |
Matthews China One Year Return
Based on the recorded statements, Matthews China Fund has an One Year Return of 11.9838%. This is 71.2% higher than that of the Matthews Asia Funds family and significantly higher than that of the China Region category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Other Information on Investing in Matthews Mutual Fund
Matthews China financial ratios help investors to determine whether Matthews Mutual Fund 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 Matthews with respect to the benefits of owning Matthews China security.
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |