Martin Currie Emerging Fund Market Value
| MCEIX Fund | USD 11.94 0.13 1.10% |
| Symbol | Martin |
Martin Currie '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 Martin Currie's mutual fund 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 Martin Currie.
| 06/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Martin Currie on June 28, 2023 and sell it all today you would earn a total of 0.00 from holding Martin Currie Emerging or generate 0.0% return on investment in Martin Currie over 300 days. Martin Currie is related to or competes with Templeton Foreign, Franklin Mutual, Templeton Growth, Franklin Small-mid, and Franklin Real. Under normal market conditions, the fund pursues its objective by investing at least 80 percent of its net assets plus b... More
Martin Currie 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 Martin Currie's mutual fund 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 Martin Currie Emerging upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.53 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.58 |
Martin Currie Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Martin Currie's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Martin Currie's standard deviation. In reality, there are many statistical measures that can use Martin Currie historical prices to predict the future Martin Currie's volatility.| Risk Adjusted Performance | 0.0443 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0614 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Martin Currie'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.
Martin Currie Emerging Backtested Returns
We consider Martin Currie very steady. Martin Currie Emerging has Sharpe Ratio of 0.0351, which conveys that the entity had a 0.0351% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Martin Currie, which you can use to evaluate the volatility of the fund. Please verify Martin Currie's Downside Deviation of 1.17, mean deviation of 0.625, and Risk Adjusted Performance of 0.0443 to check out if the risk estimate we provide is consistent with the expected return of 0.0311%. The fund secures a Beta (Market Risk) of 0.82, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Martin Currie's returns are expected to increase less than the market. However, during the bear market, the loss of holding Martin Currie is expected to be smaller as well.
Auto-correlation | -0.58 |
Good reverse predictability
Martin Currie Emerging has good reverse predictability. Overlapping area represents the amount of predictability between Martin Currie time series from 28th of June 2023 to 25th of November 2023 and 25th of November 2023 to 23rd of April 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 Martin Currie Emerging price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Martin Currie price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Martin Currie Emerging lagged returns against current returns
Autocorrelation, which is Martin Currie mutual fund'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 Martin Currie's mutual fund expected returns. We can calculate the autocorrelation of Martin Currie returns to help us make a trade decision. For example, suppose you find that Martin Currie has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Martin Currie 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 Martin Currie mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Martin Currie mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Martin Currie mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Martin Currie Lagged Returns
When evaluating Martin Currie's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Martin Currie mutual fund have on its future price. Martin Currie 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, Martin Currie autocorrelation shows the relationship between Martin Currie mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Martin Currie Emerging.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Martin Currie in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Martin Currie's short interest history, or implied volatility extrapolated from Martin Currie options trading.
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Martin Currie 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.