Haverty Furniture Companies Stock Market Value
| HVT Stock | USD 30.27 0.17 0.56% |
| Symbol | Haverty |
Haverty Furniture Price To Book Ratio
Is Haverty Furniture's industry 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 Haverty Furniture. If investors know Haverty 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 Haverty Furniture 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 (0.36) | Dividend Share 1.18 | Earnings Share 3.36 | Revenue Per Share 52.989 | Quarterly Revenue Growth (0.25) |
The market value of Haverty Furniture is measured differently than its book value, which is the value of Haverty that is recorded on the company's balance sheet. Investors also form their own opinion of Haverty Furniture's value that differs from its market value or its book value, called intrinsic value, which is Haverty Furniture'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 Haverty Furniture's market value can be influenced by many factors that don't directly affect Haverty Furniture'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 Haverty Furniture's value and its price as these two are different measures arrived at by different means. Investors typically determine if Haverty Furniture is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Haverty Furniture'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.
Haverty Furniture '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 Haverty Furniture'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 Haverty Furniture.
| 12/20/2023 |
| 04/18/2024 |
If you would invest 0.00 in Haverty Furniture on December 20, 2023 and sell it all today you would earn a total of 0.00 from holding Haverty Furniture Companies or generate 0.0% return on investment in Haverty Furniture over 120 days. Haverty Furniture Companies, Inc. operates as a specialty retailer of residential furniture and accessories in the Unite... More
Haverty Furniture 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 Haverty Furniture'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 Haverty Furniture Companies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 10.35 | |||
| Value At Risk | (4.10) | |||
| Potential Upside | 3.21 |
Haverty Furniture Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Haverty Furniture's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Haverty Furniture's standard deviation. In reality, there are many statistical measures that can use Haverty Furniture historical prices to predict the future Haverty Furniture's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (0.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Haverty Furniture's 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.
Haverty Furniture Backtested Returns
Haverty Furniture holds Efficiency (Sharpe) Ratio of -0.0668, which attests that the entity had a -0.0668% return per unit of risk over the last 3 months. Haverty Furniture exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Haverty Furniture's Risk Adjusted Performance of (0.05), standard deviation of 2.19, and Market Risk Adjusted Performance of (0.12) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.56, 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, Haverty Furniture will likely underperform. Haverty Furniture has an expected return of -0.15%. Please make sure to check out Haverty Furniture maximum drawdown, daily balance of power, as well as the relationship between the Daily Balance Of Power and period momentum indicator , to decide if Haverty Furniture performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Haverty Furniture Companies has no correlation between past and present. Overlapping area represents the amount of predictability between Haverty Furniture time series from 20th of December 2023 to 18th of February 2024 and 18th of February 2024 to 18th of April 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 Haverty Furniture price movement. The serial correlation of 0.0 indicates that just 0.0% of current Haverty Furniture price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 1.45 |
Haverty Furniture lagged returns against current returns
Autocorrelation, which is Haverty Furniture 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 Haverty Furniture's stock expected returns. We can calculate the autocorrelation of Haverty Furniture returns to help us make a trade decision. For example, suppose you find that Haverty Furniture 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 |
Haverty Furniture 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 Haverty Furniture stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Haverty Furniture stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Haverty Furniture stock over time.
Current vs Lagged Prices |
| Timeline |
Haverty Furniture Lagged Returns
When evaluating Haverty Furniture's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Haverty Furniture stock have on its future price. Haverty Furniture 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, Haverty Furniture autocorrelation shows the relationship between Haverty Furniture stock current value and its past values and can show if there is a momentum factor associated with investing in Haverty Furniture Companies.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Haverty Furniture in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Haverty Furniture's short interest history, or implied volatility extrapolated from Haverty Furniture options trading.
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Complementary Tools for Haverty Stock analysis
When running Haverty Furniture's price analysis, check to measure Haverty Furniture's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Haverty Furniture is operating at the current time. Most of Haverty Furniture's value examination focuses on studying past and present price action to predict the probability of Haverty Furniture's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Haverty Furniture's price. Additionally, you may evaluate how the addition of Haverty Furniture to your portfolios can decrease your overall portfolio volatility.
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Haverty Furniture 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.