Moelis Stock Forecast - Naive Prediction

MC Stock  USD 74.64  1.26  1.72%   
The Naive Prediction forecasted value of Moelis Co on the next trading day is expected to be 71.00 with a mean absolute deviation of 1.96 and the sum of the absolute errors of 121.53. Moelis Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Moelis stock prices and determine the direction of Moelis Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Moelis' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Moelis' Asset Turnover is projected to slightly decrease based on the last few years of reporting. . As of November 22, 2024, Common Stock Shares Outstanding is expected to decline to about 42 M. In addition to that, Net Income Applicable To Common Shares is expected to decline to about 166.6 M.

Open Interest Against 2024-12-20 Moelis Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Moelis' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Moelis' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Moelis stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Moelis' open interest, investors have to compare it to Moelis' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Moelis is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Moelis. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Moelis Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Moelis' financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2012-12-31
Previous Quarter
151.2 M
Current Value
145.3 M
Quarterly Volatility
80 M
 
Yuan Drop
 
Covid
A naive forecasting model for Moelis is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Moelis Co value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Moelis Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Moelis Co on the next trading day is expected to be 71.00 with a mean absolute deviation of 1.96, mean absolute percentage error of 5.93, and the sum of the absolute errors of 121.53.
Please note that although there have been many attempts to predict Moelis Stock 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 Moelis' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Moelis Stock Forecast Pattern

Backtest MoelisMoelis Price PredictionBuy or Sell Advice 

Moelis Forecasted Value

In the context of forecasting Moelis' Stock 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. Moelis' downside and upside margins for the forecasting period are 68.09 and 73.92, respectively. We have considered Moelis' 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
74.64
71.00
Expected Value
73.92
Upside

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 Moelis stock data series using in forecasting. Note that when a statistical model is used to represent Moelis stock, 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 Criteria121.729
BiasArithmetic mean of the errors None
MADMean absolute deviation1.9601
MAPEMean absolute percentage error0.0282
SAESum of the absolute errors121.5268
This model is not at all useful as a medium-long range forecasting tool of Moelis Co. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Moelis. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Moelis

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Moelis. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Moelis' 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.
Hype
Prediction
LowEstimatedHigh
71.9674.8577.74
Details
Intrinsic
Valuation
LowRealHigh
53.2256.1182.10
Details
Bollinger
Band Projection (param)
LowMiddleHigh
67.2574.6782.10
Details
9 Analysts
Consensus
LowTargetHigh
35.6739.2043.51
Details

Other Forecasting Options for Moelis

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

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

Moelis Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Moelis' 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 Moelis' current price.

Moelis Market Strength Events

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

Moelis Risk Indicators

The analysis of Moelis' 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 Moelis' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting moelis stock 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Historical Fundamental Analysis of Moelis to cross-verify your projections.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Is Investment Banking & Brokerage space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Moelis. If investors know Moelis will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Moelis listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
3.276
Dividend Share
2.4
Earnings Share
0.53
Revenue Per Share
13.755
Quarterly Revenue Growth
0.006
The market value of Moelis is measured differently than its book value, which is the value of Moelis that is recorded on the company's balance sheet. Investors also form their own opinion of Moelis' value that differs from its market value or its book value, called intrinsic value, which is Moelis' 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 Moelis' market value can be influenced by many factors that don't directly affect Moelis' 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 Moelis' value and its price as these two are different measures arrived at by different means. Investors typically determine if Moelis is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Moelis' 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.