Lazard Emerging Markets Fund Market Value
| LZEMX Fund | USD 18.26 0.11 0.61% |
| Symbol | Lazard |
Lazard 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 Lazard 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 Lazard Emerging.
| 04/07/2024 |
| 05/07/2024 |
If you would invest 0.00 in Lazard Emerging on April 7, 2024 and sell it all today you would earn a total of 0.00 from holding Lazard Emerging Markets or generate 0.0% return on investment in Lazard Emerging over 30 days. Lazard Emerging is related to or competes with Thornburg International, Harding Loevner, Wasatch Large, Harbor International, and Perkins Mid. The fund invests primarily in equity securities, principally common stocks, of non-U.S More
Lazard 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 Lazard 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 Lazard Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8463 | |||
| Information Ratio | 0.0749 | |||
| Maximum Drawdown | 3.83 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.25 |
Lazard Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lazard Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lazard Emerging's standard deviation. In reality, there are many statistical measures that can use Lazard Emerging historical prices to predict the future Lazard Emerging's volatility.| Risk Adjusted Performance | 0.1107 | |||
| Jensen Alpha | 0.0673 | |||
| Total Risk Alpha | 0.0429 | |||
| Sortino Ratio | 0.0669 | |||
| Treynor Ratio | 0.1457 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lazard 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.
Lazard Emerging Markets Backtested Returns
We consider Lazard Emerging very steady. Lazard Emerging Markets has Sharpe Ratio of 0.16, which conveys that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Lazard Emerging, which you can use to evaluate the volatility of the fund. Please verify Lazard Emerging's Mean Deviation of 0.5904, downside deviation of 0.8463, and Risk Adjusted Performance of 0.1107 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. The fund secures a Beta (Market Risk) of 0.84, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Lazard Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Lazard Emerging is expected to be smaller as well.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Lazard Emerging Markets has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Lazard Emerging time series from 7th of April 2024 to 22nd of April 2024 and 22nd of April 2024 to 7th of May 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 Lazard Emerging Markets price movement. The serial correlation of -0.73 indicates that around 73.0% of current Lazard Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Lazard Emerging Markets lagged returns against current returns
Autocorrelation, which is Lazard 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 Lazard Emerging's mutual fund expected returns. We can calculate the autocorrelation of Lazard Emerging returns to help us make a trade decision. For example, suppose you find that Lazard Emerging 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 |
Lazard 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 Lazard Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lazard 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 Lazard Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Lazard Emerging Lagged Returns
When evaluating Lazard Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lazard Emerging mutual fund have on its future price. Lazard 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, Lazard Emerging autocorrelation shows the relationship between Lazard Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Lazard Emerging Markets.
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 Lazard Emerging 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, Lazard Emerging's short interest history, or implied volatility extrapolated from Lazard Emerging options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Lazard Emerging Correlation, Lazard Emerging Volatility and Lazard Emerging Alpha and Beta module to complement your research on Lazard Emerging. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Lazard 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.