Schlumberger Nv Stock Market Value

SLB Stock  USD 43.75  0.48  1.09%   
Schlumberger's market value is the price at which a share of Schlumberger trades on a public exchange. It measures the collective expectations of Schlumberger NV investors about its performance. Schlumberger is trading at 43.75 as of the 26th of November 2024, a 1.09 percent down since the beginning of the trading day. The stock's open price was 44.23.
With this module, you can estimate the performance of a buy and hold strategy of Schlumberger NV and determine expected loss or profit from investing in Schlumberger over a given investment horizon. Check out Schlumberger Correlation, Schlumberger Volatility and Schlumberger Alpha and Beta module to complement your research on Schlumberger.
Symbol

Schlumberger NV Price To Book Ratio

Is Oil & Gas Equipment & Services 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 Schlumberger. If investors know Schlumberger 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 Schlumberger 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
0.064
Dividend Share
1.075
Earnings Share
3.11
Revenue Per Share
25.246
Quarterly Revenue Growth
0.102
The market value of Schlumberger NV is measured differently than its book value, which is the value of Schlumberger that is recorded on the company's balance sheet. Investors also form their own opinion of Schlumberger's value that differs from its market value or its book value, called intrinsic value, which is Schlumberger's 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 Schlumberger's market value can be influenced by many factors that don't directly affect Schlumberger's 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 Schlumberger's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schlumberger is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schlumberger's 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.

Schlumberger '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 Schlumberger's stock 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 Schlumberger.
0.00
10/27/2024
No Change 0.00  0.0 
In 30 days
11/26/2024
0.00
If you would invest  0.00  in Schlumberger on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Schlumberger NV or generate 0.0% return on investment in Schlumberger over 30 days. Schlumberger is related to or competes with Baker Hughes, NOV, Weatherford International, Tenaris SA, Halliburton, ChampionX, and TechnipFMC PLC. Schlumberger Limited provides technology for the energy industry worldwide More

Schlumberger 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 Schlumberger's stock 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 Schlumberger NV upside and downside potential and time the market with a certain degree of confidence.

Schlumberger Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Schlumberger's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schlumberger's standard deviation. In reality, there are many statistical measures that can use Schlumberger historical prices to predict the future Schlumberger's volatility.
Hype
Prediction
LowEstimatedHigh
41.8043.7545.70
Details
Intrinsic
Valuation
LowRealHigh
39.3853.7755.72
Details
Naive
Forecast
LowNextHigh
41.0943.0444.99
Details
30 Analysts
Consensus
LowTargetHigh
58.5864.3771.45
Details

Schlumberger NV Backtested Returns

At this point, Schlumberger is very steady. Schlumberger NV owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0149, which indicates the firm had a 0.0149% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schlumberger NV, which you can use to evaluate the volatility of the company. Please validate Schlumberger's Risk Adjusted Performance of 0.0188, semi deviation of 1.86, and Coefficient Of Variation of 6026.53 to confirm if the risk estimate we provide is consistent with the expected return of 0.0288%. Schlumberger has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 1.34, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Schlumberger will likely underperform. Schlumberger NV right now has a risk of 1.94%. Please validate Schlumberger total risk alpha, expected short fall, price action indicator, as well as the relationship between the value at risk and daily balance of power , to decide if Schlumberger will be following its existing price patterns.

Auto-correlation

    
  0.37  

Below average predictability

Schlumberger NV has below average predictability. Overlapping area represents the amount of predictability between Schlumberger time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Schlumberger NV price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Schlumberger price fluctuation can be explain by its past prices.
Correlation Coefficient0.37
Spearman Rank Test-0.32
Residual Average0.0
Price Variance0.18

Schlumberger NV lagged returns against current returns

Autocorrelation, which is Schlumberger stock'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 Schlumberger's stock expected returns. We can calculate the autocorrelation of Schlumberger returns to help us make a trade decision. For example, suppose you find that Schlumberger 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 price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Schlumberger 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 Schlumberger stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schlumberger stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schlumberger stock over time.
   Current vs Lagged Prices   
       Timeline  

Schlumberger Lagged Returns

When evaluating Schlumberger's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schlumberger stock have on its future price. Schlumberger 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, Schlumberger autocorrelation shows the relationship between Schlumberger stock current value and its past values and can show if there is a momentum factor associated with investing in Schlumberger NV.
   Regressed Prices   
       Timeline  

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When determining whether Schlumberger NV offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Schlumberger's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Schlumberger Nv Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Schlumberger Nv Stock:
Check out Schlumberger Correlation, Schlumberger Volatility and Schlumberger Alpha and Beta module to complement your research on Schlumberger.
You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Schlumberger technical stock 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, stock market cycles, or different charting patterns.
A focus of Schlumberger technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Schlumberger trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...