Lazard Developing Markets Fund Technical Analysis
| LDMIX Fund | USD 19.17 0.12 0.63% |
As of the 27th of January, Lazard Developing secures the Downside Deviation of 0.7591, risk adjusted performance of 0.1266, and Mean Deviation of 0.635. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Lazard Developing Markets, as well as the relationship between them.
Lazard Developing Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lazard, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LazardLazard |
Lazard Developing '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 Developing'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 Developing.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Lazard Developing on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Lazard Developing Markets or generate 0.0% return on investment in Lazard Developing over 90 days. Lazard Developing is related to or competes with Lazard Funds, Harbor Convertible, Rationalpier, Teton Convertible, and Absolute Convertible. The Portfolio invests primarily in equity securities, principally common stocks, of non-U.S More
Lazard Developing 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 Developing'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 Developing Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7591 | |||
| Information Ratio | 0.072 | |||
| Maximum Drawdown | 4.04 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.35 |
Lazard Developing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lazard Developing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lazard Developing's standard deviation. In reality, there are many statistical measures that can use Lazard Developing historical prices to predict the future Lazard Developing's volatility.| Risk Adjusted Performance | 0.1266 | |||
| Jensen Alpha | 0.0844 | |||
| Total Risk Alpha | 0.0508 | |||
| Sortino Ratio | 0.0774 | |||
| Treynor Ratio | 0.203 |
Lazard Developing January 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1266 | |||
| Market Risk Adjusted Performance | 0.213 | |||
| Mean Deviation | 0.635 | |||
| Semi Deviation | 0.5943 | |||
| Downside Deviation | 0.7591 | |||
| Coefficient Of Variation | 584.12 | |||
| Standard Deviation | 0.8161 | |||
| Variance | 0.6661 | |||
| Information Ratio | 0.072 | |||
| Jensen Alpha | 0.0844 | |||
| Total Risk Alpha | 0.0508 | |||
| Sortino Ratio | 0.0774 | |||
| Treynor Ratio | 0.203 | |||
| Maximum Drawdown | 4.04 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.35 | |||
| Downside Variance | 0.5763 | |||
| Semi Variance | 0.3532 | |||
| Expected Short fall | (0.70) | |||
| Skewness | 0.2272 | |||
| Kurtosis | 0.61 |
Lazard Developing Markets Backtested Returns
At this stage we consider Lazard Mutual Fund to be very steady. Lazard Developing Markets has Sharpe Ratio of 0.15, which conveys that the entity had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Lazard Developing, which you can use to evaluate the volatility of the fund. Please verify Lazard Developing's Mean Deviation of 0.635, risk adjusted performance of 0.1266, and Downside Deviation of 0.7591 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 0.64, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Lazard Developing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Lazard Developing is expected to be smaller as well.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
Lazard Developing Markets has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Lazard Developing time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 2026. 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 Developing Markets price movement. The serial correlation of -0.78 indicates that around 78.0% of current Lazard Developing price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.46 |
Lazard Developing 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.
Lazard Developing Markets Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Lazard Developing Markets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Lazard Developing 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 Lazard Developing Markets 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 Lazard Developing Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Lazard Developing Markets price pattern first instead of the macroeconomic environment surrounding Lazard Developing Markets. By analyzing Lazard Developing'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 Lazard Developing'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 Lazard Developing specific price patterns or momentum indicators. Please read more on our technical analysis page.
Lazard Developing January 27, 2026 Technical Indicators
Most technical analysis of Lazard 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 Lazard from various momentum indicators to cycle indicators. When you analyze Lazard 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 | 0.1266 | |||
| Market Risk Adjusted Performance | 0.213 | |||
| Mean Deviation | 0.635 | |||
| Semi Deviation | 0.5943 | |||
| Downside Deviation | 0.7591 | |||
| Coefficient Of Variation | 584.12 | |||
| Standard Deviation | 0.8161 | |||
| Variance | 0.6661 | |||
| Information Ratio | 0.072 | |||
| Jensen Alpha | 0.0844 | |||
| Total Risk Alpha | 0.0508 | |||
| Sortino Ratio | 0.0774 | |||
| Treynor Ratio | 0.203 | |||
| Maximum Drawdown | 4.04 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.35 | |||
| Downside Variance | 0.5763 | |||
| Semi Variance | 0.3532 | |||
| Expected Short fall | (0.70) | |||
| Skewness | 0.2272 | |||
| Kurtosis | 0.61 |
Lazard Developing January 27, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Lazard stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 19.17 | ||
| Day Typical Price | 19.17 | ||
| Price Action Indicator | 0.06 |
Other Information on Investing in Lazard Mutual Fund
Lazard Developing financial ratios help investors to determine whether Lazard 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 Lazard with respect to the benefits of owning Lazard Developing security.
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Global Correlations Find global opportunities by holding instruments from different markets |