Highwoods Properties Stock Market Value
HIW Stock | USD 25.90 0.50 1.97% |
Symbol | Highwoods |
Highwoods Properties Price To Book Ratio
Is Highwoods Properties' 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 Highwoods Properties. If investors know Highwoods 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 Highwoods Properties 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 0.373 | Dividend Share 2 | Earnings Share 1.39 | Revenue Per Share 7.914 | Quarterly Revenue Growth (0.03) |
The market value of Highwoods Properties is measured differently than its book value, which is the value of Highwoods that is recorded on the company's balance sheet. Investors also form their own opinion of Highwoods Properties' value that differs from its market value or its book value, called intrinsic value, which is Highwoods Properties' 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 Highwoods Properties' market value can be influenced by many factors that don't directly affect Highwoods Properties' 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 Highwoods Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if Highwoods Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Highwoods Properties' 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.
Highwoods Properties '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 Highwoods Properties' 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 Highwoods Properties.
05/01/2023 |
| 04/25/2024 |
If you would invest 0.00 in Highwoods Properties on May 1, 2023 and sell it all today you would earn a total of 0.00 from holding Highwoods Properties or generate 0.0% return on investment in Highwoods Properties over 360 days. Highwoods Properties is related to or competes with Equity Commonwealth, Piedmont Office, and Hudson Pacific. Highwoods Properties, Inc., headquartered in Raleigh, is a publicly-traded real estate investment trust and a member of ... More
Highwoods Properties 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 Highwoods Properties' 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 Highwoods Properties upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.35 | |||
Information Ratio | 0.0575 | |||
Maximum Drawdown | 13.29 | |||
Value At Risk | (3.54) | |||
Potential Upside | 4.35 |
Highwoods Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Highwoods Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Highwoods Properties' standard deviation. In reality, there are many statistical measures that can use Highwoods Properties historical prices to predict the future Highwoods Properties' volatility.Risk Adjusted Performance | 0.0698 | |||
Jensen Alpha | 0.029 | |||
Total Risk Alpha | (0.09) | |||
Sortino Ratio | 0.0543 | |||
Treynor Ratio | 0.0988 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Highwoods Properties' 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.
Highwoods Properties Backtested Returns
Highwoods Properties appears to be very steady, given 3 months investment horizon. Highwoods Properties holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Highwoods Properties, which you can use to evaluate the volatility of the firm. Please utilize Highwoods Properties' Risk Adjusted Performance of 0.0698, downside deviation of 2.35, and Market Risk Adjusted Performance of 0.1088 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Highwoods Properties holds a performance score of 9. The company retains a Market Volatility (i.e., Beta) of 2.16, 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, Highwoods Properties will likely underperform. Please check Highwoods Properties' potential upside, and the relationship between the total risk alpha and kurtosis , to make a quick decision on whether Highwoods Properties' current trending patterns will revert.
Auto-correlation | 0.18 |
Very weak predictability
Highwoods Properties has very weak predictability. Overlapping area represents the amount of predictability between Highwoods Properties time series from 1st of May 2023 to 28th of October 2023 and 28th of October 2023 to 25th 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 Highwoods Properties price movement. The serial correlation of 0.18 indicates that over 18.0% of current Highwoods Properties price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.18 | |
Spearman Rank Test | -0.09 | |
Residual Average | 0.0 | |
Price Variance | 6.33 |
Highwoods Properties lagged returns against current returns
Autocorrelation, which is Highwoods Properties 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 Highwoods Properties' stock expected returns. We can calculate the autocorrelation of Highwoods Properties returns to help us make a trade decision. For example, suppose you find that Highwoods Properties 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 |
Highwoods Properties 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 Highwoods Properties stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Highwoods Properties stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Highwoods Properties stock over time.
Current vs Lagged Prices |
Timeline |
Highwoods Properties Lagged Returns
When evaluating Highwoods Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Highwoods Properties stock have on its future price. Highwoods Properties 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, Highwoods Properties autocorrelation shows the relationship between Highwoods Properties stock current value and its past values and can show if there is a momentum factor associated with investing in Highwoods Properties.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Highwoods Properties Correlation, Highwoods Properties Volatility and Highwoods Properties Alpha and Beta module to complement your research on Highwoods Properties. For more information on how to buy Highwoods Stock please use our How to Invest in Highwoods Properties guide.You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Complementary Tools for Highwoods Stock analysis
When running Highwoods Properties' price analysis, check to measure Highwoods Properties' 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 Highwoods Properties is operating at the current time. Most of Highwoods Properties' value examination focuses on studying past and present price action to predict the probability of Highwoods Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Highwoods Properties' price. Additionally, you may evaluate how the addition of Highwoods Properties to your portfolios can decrease your overall portfolio volatility.
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Highwoods Properties 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.