Hubbell Stock Market Value
| HUBB Stock | USD 485.53 1.47 0.30% |
| Symbol | Hubbell |
Is Electrical Components & Equipment 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 Hubbell. If investors know Hubbell 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 Hubbell 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 0.141 | Dividend Share 5.28 | Earnings Share 15.97 | Revenue Per Share | Quarterly Revenue Growth 0.041 |
The market value of Hubbell is measured differently than its book value, which is the value of Hubbell that is recorded on the company's balance sheet. Investors also form their own opinion of Hubbell's value that differs from its market value or its book value, called intrinsic value, which is Hubbell'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 Hubbell's market value can be influenced by many factors that don't directly affect Hubbell'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 Hubbell's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hubbell is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hubbell'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.
Hubbell '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 Hubbell'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 Hubbell.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Hubbell on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Hubbell or generate 0.0% return on investment in Hubbell over 90 days. Hubbell is related to or competes with Veralto, Dover, Equifax, NVent Electric, Curtiss Wright, AerCap Holdings, and EMCOR. Hubbell Incorporated, together with its subsidiaries, designs, manufactures, and sells electrical and electronic product... More
Hubbell 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 Hubbell'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 Hubbell upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.79 | |||
| Information Ratio | 0.0657 | |||
| Maximum Drawdown | 8.35 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.55 |
Hubbell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hubbell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hubbell's standard deviation. In reality, there are many statistical measures that can use Hubbell historical prices to predict the future Hubbell's volatility.| Risk Adjusted Performance | 0.0851 | |||
| Jensen Alpha | 0.0843 | |||
| Total Risk Alpha | 0.0171 | |||
| Sortino Ratio | 0.0682 | |||
| Treynor Ratio | 0.1227 |
Hubbell January 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0851 | |||
| Market Risk Adjusted Performance | 0.1327 | |||
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.64 | |||
| Downside Deviation | 1.79 | |||
| Coefficient Of Variation | 926.02 | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.44 | |||
| Information Ratio | 0.0657 | |||
| Jensen Alpha | 0.0843 | |||
| Total Risk Alpha | 0.0171 | |||
| Sortino Ratio | 0.0682 | |||
| Treynor Ratio | 0.1227 | |||
| Maximum Drawdown | 8.35 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.55 | |||
| Downside Variance | 3.2 | |||
| Semi Variance | 2.68 | |||
| Expected Short fall | (1.50) | |||
| Skewness | 0.17 | |||
| Kurtosis | (0.02) |
Hubbell Backtested Returns
Hubbell appears to be very steady, given 3 months investment horizon. Hubbell holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hubbell, which you can use to evaluate the volatility of the firm. Please utilize Hubbell's Risk Adjusted Performance of 0.0851, market risk adjusted performance of 0.1327, and Downside Deviation of 1.79 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hubbell holds a performance score of 8. The company retains a Market Volatility (i.e., Beta) of 1.55, 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, Hubbell will likely underperform. Please check Hubbell's treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to make a quick decision on whether Hubbell's current trending patterns will revert.
Auto-correlation | -0.63 |
Very good reverse predictability
Hubbell has very good reverse predictability. Overlapping area represents the amount of predictability between Hubbell time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th 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 Hubbell price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Hubbell price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 272.49 |
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.When determining whether Hubbell offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Hubbell'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 Hubbell Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Hubbell Stock:Check out Hubbell Correlation, Hubbell Volatility and Hubbell Alpha and Beta module to complement your research on Hubbell. For information on how to trade Hubbell Stock refer to our How to Trade Hubbell Stock guide.You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Hubbell 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.