Graham Stock Market Value

GHM Stock  USD 32.11  0.82  2.62%   
Graham's market value is the price at which a share of Graham trades on a public exchange. It measures the collective expectations of Graham investors about its performance. Graham is selling at 32.11 as of the 15th of March 2025; that is 2.62% increase since the beginning of the trading day. The stock's lowest day price was 30.57.
With this module, you can estimate the performance of a buy and hold strategy of Graham and determine expected loss or profit from investing in Graham over a given investment horizon. Check out Graham Correlation, Graham Volatility and Graham Alpha and Beta module to complement your research on Graham.
To learn how to invest in Graham Stock, please use our How to Invest in Graham guide.
Symbol

Graham Price To Book Ratio

Is Industrial Machinery & Supplies & Components 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 Graham. If investors know Graham 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 Graham 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
8.143
Earnings Share
0.83
Revenue Per Share
18.362
Quarterly Revenue Growth
0.073
Return On Assets
0.0278
The market value of Graham is measured differently than its book value, which is the value of Graham that is recorded on the company's balance sheet. Investors also form their own opinion of Graham's value that differs from its market value or its book value, called intrinsic value, which is Graham'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 Graham's market value can be influenced by many factors that don't directly affect Graham'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 Graham's value and its price as these two are different measures arrived at by different means. Investors typically determine if Graham is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Graham'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.

Graham '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 Graham'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 Graham.
0.00
12/15/2024
No Change 0.00  0.0 
In 2 months and 31 days
03/15/2025
0.00
If you would invest  0.00  in Graham on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Graham or generate 0.0% return on investment in Graham over 90 days. Graham is related to or competes with Luxfer Holdings, Enerpac Tool, Kadant, Omega Flex, Helios Technologies, Enpro Industries, and Hurco Companies. Graham Corporation, together with its subsidiaries, designs and manufactures fluid, power, heat transfer, and vacuum equ... More

Graham 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 Graham'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 Graham upside and downside potential and time the market with a certain degree of confidence.

Graham Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Graham's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Graham's standard deviation. In reality, there are many statistical measures that can use Graham historical prices to predict the future Graham's volatility.
Hype
Prediction
LowEstimatedHigh
28.3532.3636.37
Details
Intrinsic
Valuation
LowRealHigh
28.9040.5344.54
Details
3 Analysts
Consensus
LowTargetHigh
47.4752.1757.91
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.230.250.27
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Graham. Your research has to be compared to or analyzed against Graham's peers to derive any actionable benefits. When done correctly, Graham'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 Graham.

Graham Backtested Returns

Graham holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12 % return per unit of standard deviation over the last 3 months. Graham exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Graham's market risk adjusted performance of (0.19), and Risk Adjusted Performance of (0.08) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 2.13, which attests to 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, Graham will likely underperform. At this point, Graham has a negative expected return of -0.5%. Please make sure to check out Graham's treynor ratio, and the relationship between the standard deviation and kurtosis , to decide if Graham performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.47  

Modest reverse predictability

Graham has modest reverse predictability. Overlapping area represents the amount of predictability between Graham time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Graham price movement. The serial correlation of -0.47 indicates that about 47.0% of current Graham price fluctuation can be explain by its past prices.
Correlation Coefficient-0.47
Spearman Rank Test-0.27
Residual Average0.0
Price Variance34.58

Graham lagged returns against current returns

Autocorrelation, which is Graham 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 Graham's stock expected returns. We can calculate the autocorrelation of Graham returns to help us make a trade decision. For example, suppose you find that Graham 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  

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

Graham Lagged Returns

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

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When determining whether Graham is a strong investment it is important to analyze Graham's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Graham's future performance. For an informed investment choice regarding Graham Stock, refer to the following important reports:
Check out Graham Correlation, Graham Volatility and Graham Alpha and Beta module to complement your research on Graham.
To learn how to invest in Graham Stock, please use our How to Invest in Graham guide.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Graham 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 Graham technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Graham 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...