Brandes Emerging Markets Fund Market Value
| BEMCX Fund | USD 7.94 0.06 0.76% |
| Symbol | Brandes |
Brandes Emerging '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 Brandes Emerging'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 Brandes Emerging.
| 11/02/2023 |
| 12/02/2023 |
If you would invest 0.00 in Brandes Emerging on November 2, 2023 and sell it all today you would earn a total of 0.00 from holding Brandes Emerging Markets or generate 0.0% return on investment in Brandes Emerging over 30 days. Brandes Emerging is related to or competes with Vanguard Diversified, Franklin Conservative, Jhancock Diversified, The Hartford, and Fidelity Advisor. Under normal market conditions, the fund invests at least 80 percent of its net assets measured at the time of purchase ... More
Brandes Emerging 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 Brandes Emerging'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 Brandes Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7787 | |||
| Information Ratio | 0.0135 | |||
| Maximum Drawdown | 3.79 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.54 |
Brandes Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Brandes Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Brandes Emerging's standard deviation. In reality, there are many statistical measures that can use Brandes Emerging historical prices to predict the future Brandes Emerging's volatility.| Risk Adjusted Performance | 0.018 | |||
| Jensen Alpha | 0.0097 | |||
| Total Risk Alpha | 0.0125 | |||
| Sortino Ratio | 0.0155 | |||
| Treynor Ratio | 0.0683 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Brandes Emerging'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. Please use the tools below to analyze the current value of Brandes Emerging in the context of predictive analytics.
Brandes Emerging Markets Backtested Returns
We consider Brandes Emerging relatively risky. Brandes Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0387, which signifies that the fund had 0.0387% of return per unit of standard deviation over the last 3 months. Our philosophy in foreseeing the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-six technical indicators for Brandes Emerging Markets, which you can use to evaluate the future volatility of the entity. Please confirm Brandes Emerging Markets mean deviation of 0.6889, and Risk Adjusted Performance of 0.018 to double-check if the risk estimate we provide is consistent with the expected return of 0.0341%. The fund shows a Beta (market volatility) of 0.1375, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Brandes Emerging returns are expected to increase less than the market. However, during the bear market, the loss on holding Brandes Emerging will be expected to be smaller as well. Although it is important to respect Brandes Emerging Markets historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. Our main philosophy in foreseeing future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By analyzing Brandes Emerging Markets technical indicators, you can presently evaluate if the expected return of 0.0341% will be sustainable into the future.
Auto-correlation | -0.26 |
Weak reverse predictability
Brandes Emerging Markets has weak reverse predictability. Overlapping area represents the amount of predictability between Brandes Emerging time series from 2nd of November 2023 to 17th of November 2023 and 17th of November 2023 to 2nd of December 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Brandes Emerging Markets price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Brandes Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Brandes Emerging Markets lagged returns against current returns
Autocorrelation, which is Brandes Emerging 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 Brandes Emerging's mutual fund expected returns. We can calculate the autocorrelation of Brandes Emerging returns to help us make a trade decision. For example, suppose you find that Brandes Emerging mutual fund 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 stock movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Brandes Emerging 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 Brandes Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Brandes Emerging mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Brandes Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Brandes Emerging Lagged Returns
When evaluating Brandes Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Brandes Emerging mutual fund have on its future price. Brandes Emerging 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, Brandes Emerging autocorrelation shows the relationship between Brandes Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Brandes Emerging Markets.
Regressed Prices |
| Timeline |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Brandes Emerging without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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| All Next | Launch Module |
Pair Trading with Brandes Emerging
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Brandes Emerging position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Brandes Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Brandes Mutual Fund
| + | 0.69 | BSCRX | Brandes Small Cap | PairCorr | ||
| + | 0.68 | BSCMX | Brandes Small Cap | PairCorr | ||
| + | 0.83 | BCPRX | Brandes Core Plus | PairCorr | ||
| + | 0.83 | BCPIX | Brandes Core Plus | PairCorr | ||
| + | 0.86 | BEMIX | Brandes Emerging Markets | PairCorr |
The ability to find closely correlated positions to Brandes Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Brandes Emerging when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Brandes Emerging - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Brandes Emerging Markets to buy it.
The correlation of Brandes Emerging is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Brandes Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Brandes Emerging Markets moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Brandes Emerging can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Brandes Emerging Correlation, Brandes Emerging Volatility and Brandes Emerging Alpha and Beta module to complement your research on Brandes Emerging. Note that the Brandes Emerging Markets information on this page should be used as a complementary analysis to other Brandes Emerging's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Brandes Mutual Fund analysis
When running Brandes Emerging's price analysis, check to measure Brandes Emerging's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Brandes Emerging is operating at the current time. Most of Brandes Emerging's value examination focuses on studying past and present price action to predict the probability of Brandes Emerging's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Brandes Emerging's price. Additionally, you may evaluate how the addition of Brandes Emerging to your portfolios can decrease your overall portfolio volatility.
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Brandes Emerging 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.