Lazard Global Fund Forecast - Polynomial Regression

LGI Fund  USD 16.76  0.09  0.53%   
The Polynomial Regression forecasted value of Lazard Global Total on the next trading day is expected to be 16.50 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.38. Lazard Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Lazard Global's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Lazard Global polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Lazard Global Total as well as the accuracy indicators are determined from the period prices.

Lazard Global Polynomial Regression Price Forecast For the 26th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Lazard Global Total on the next trading day is expected to be 16.50 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.06, and the sum of the absolute errors of 12.38.
Please note that although there have been many attempts to predict Lazard Fund 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 Lazard Global's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lazard Global Fund Forecast Pattern

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Lazard Global Forecasted Value

In the context of forecasting Lazard Global's Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Lazard Global's downside and upside margins for the forecasting period are 15.55 and 17.46, respectively. We have considered Lazard Global's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
16.76
16.50
Expected Value
17.46
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Lazard Global fund data series using in forecasting. Note that when a statistical model is used to represent Lazard Global fund, 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.
AICAkaike Information Criteria115.3373
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2029
MAPEMean absolute percentage error0.0119
SAESum of the absolute errors12.3781
A single variable polynomial regression model attempts to put a curve through the Lazard Global historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Lazard Global

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lazard Global Total. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.
Hype
Prediction
LowEstimatedHigh
15.8916.8517.81
Details
Intrinsic
Valuation
LowRealHigh
15.9616.9217.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.2216.6617.09
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Lazard Global. Your research has to be compared to or analyzed against Lazard Global's peers to derive any actionable benefits. When done correctly, Lazard Global's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Lazard Global Total.

Other Forecasting Options for Lazard Global

For every potential investor in Lazard, whether a beginner or expert, Lazard Global's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lazard Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lazard. Basic forecasting techniques help filter out the noise by identifying Lazard Global's price trends.

Lazard Global 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 Lazard Global fund to make a market-neutral strategy. Peer analysis of Lazard Global could also be used in its relative valuation, which is a method of valuing Lazard Global by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Lazard Global Total Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Lazard Global's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Lazard Global's current price.

Lazard Global Market Strength Events

Market strength indicators help investors to evaluate how Lazard Global fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lazard Global shares will generate the highest return on investment. By undertsting and applying Lazard Global fund market strength indicators, traders can identify Lazard Global Total entry and exit signals to maximize returns.

Lazard Global Risk Indicators

The analysis of Lazard Global'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 Lazard Global's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lazard fund 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.
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.

Currently Active Assets on Macroaxis

Other Information on Investing in Lazard Fund

Lazard Global financial ratios help investors to determine whether Lazard 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 Global security.
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