Martin Currie Etf Forecast - Naive Prediction
| MCSE Etf | USD 13.83 0.00 0.00% |
Martin Etf outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Martin Currie stock prices and determine the direction of Martin Currie Sustainable's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Martin Currie's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, The relative strength momentum indicator of Martin Currie's share price is at 50. This indicates that the etf is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Martin Currie, making its price go up or down. Momentum 50
Impartial
Oversold | Overbought |
Using Martin Currie hype-based prediction, you can estimate the value of Martin Currie Sustainable from the perspective of Martin Currie response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Martin Currie Sustainable on the next trading day is expected to be 13.88 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.76. Martin Currie after-hype prediction price | USD 13.83 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population. Martin Currie Additional Predictive Modules
Most predictive techniques to examine Martin price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Martin using various technical indicators. When you analyze Martin charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Martin Currie Naive Prediction Price Forecast For the 29th of January
Given 90 days horizon, the Naive Prediction forecasted value of Martin Currie Sustainable on the next trading day is expected to be 13.88 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.76.Please note that although there have been many attempts to predict Martin Etf prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Martin Currie's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Martin Currie Etf Forecast Pattern
| Backtest Martin Currie | Martin Currie Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Martin Currie etf data series using in forecasting. Note that when a statistical model is used to represent Martin Currie etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 114.3222 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1109 |
| MAPE | Mean absolute percentage error | 0.0082 |
| SAE | Sum of the absolute errors | 6.7638 |
Predictive Modules for Martin Currie
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Martin Currie Sustainable. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 After-Hype Price Density Analysis
As far as predicting the price of Martin Currie at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Martin Currie or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of Martin Currie, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Martin Currie Estimiated After-Hype Price Volatility
In the context of predicting Martin Currie's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Martin Currie's historical news coverage. Martin Currie's after-hype downside and upside margins for the prediction period are 13.00 and 14.66, respectively. We have considered Martin Currie's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Martin Currie is very steady at this time. Analysis and calculation of next after-hype price of Martin Currie Sustainable is based on 3 months time horizon.
Martin Currie Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Martin Currie is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Martin Currie backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Martin Currie, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.01 | 0.83 | 0.00 | 0.00 | 3 Events / Month | 3 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
13.83 | 13.83 | 0.00 |
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Martin Currie Hype Timeline
Martin Currie Sustainable is now traded for 13.83. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Martin is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is now at 0.01%. %. The volatility of related hype on Martin Currie is about 370.54%, with the expected price after the next announcement by competition of 13.83. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next projected press release will be in about 3 days. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.Martin Currie Related Hype Analysis
Having access to credible news sources related to Martin Currie's direct competition is more important than ever and may enhance your ability to predict Martin Currie's future price movements. Getting to know how Martin Currie's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Martin Currie may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NUDV | Nushares ETF Trust | 0.15 | 3 per month | 0.44 | 0.04 | 1.15 | (0.98) | 3.37 | |
| ZHDG | ZEGA Buy and | 0.03 | 2 per month | 0.55 | (0.05) | 1.08 | (0.84) | 3.19 | |
| NXTI | Simplify Next Intangible | (0.13) | 1 per month | 0.00 | (0.10) | 1.23 | (1.69) | 3.08 | |
| BCIL | Exchange Listed Funds | 0.00 | 0 per month | 0.00 | (0.17) | 0.88 | (1.64) | 3.51 | |
| INRO | BlackRock Industry Rotation | 0.23 | 3 per month | 0.87 | (0.02) | 1.10 | (1.28) | 3.92 | |
| NITE | The Nightview ETF | (0.65) | 1 per month | 1.21 | 0.02 | 1.89 | (2.46) | 5.91 | |
| WBIF | WBI BullBear Value | 0.12 | 3 per month | 0.74 | (0.07) | 1.26 | (1.27) | 2.87 | |
| ROKT | SPDR SP Kensho | (2.01) | 4 per month | 1.43 | 0.20 | 3.95 | (2.58) | 7.47 | |
| IEDI | iShares Evolved Discretionary | 0.03 | 2 per month | 0.72 | (0.02) | 1.67 | (1.56) | 4.22 | |
| MART | Allianzim Large Cap | (0.01) | 6 per month | 0.27 | (0.07) | 0.56 | (0.55) | 1.93 |
Martin Currie Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Martin Currie etf to make a market-neutral strategy. Peer analysis of Martin Currie could also be used in its relative valuation, which is a method of valuing Martin Currie by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Martin Currie Market Strength Events
Market strength indicators help investors to evaluate how Martin Currie etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Martin Currie shares will generate the highest return on investment. By undertsting and applying Martin Currie etf market strength indicators, traders can identify Martin Currie Sustainable entry and exit signals to maximize returns.
Martin Currie Risk Indicators
The analysis of Martin Currie's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Martin Currie's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting martin etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.6449 | |||
| Semi Deviation | 0.8126 | |||
| Standard Deviation | 0.8279 | |||
| Variance | 0.6854 | |||
| Downside Variance | 0.9346 | |||
| Semi Variance | 0.6603 | |||
| Expected Short fall | (0.68) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Martin Currie
The number of cover stories for Martin Currie depends on current market conditions and Martin Currie's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Martin Currie is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Martin Currie's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
The market value of Martin Currie Sustainable is measured differently than its book value, which is the value of Martin that is recorded on the company's balance sheet. Investors also form their own opinion of Martin Currie's value that differs from its market value or its book value, called intrinsic value, which is Martin Currie's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Martin Currie's market value can be influenced by many factors that don't directly affect Martin Currie's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Martin Currie's value and its price as these two are different measures arrived at by different means. Investors typically determine if Martin Currie is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Martin Currie'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.