Macerich Company Stock Market Value
| MAC Stock | USD 17.40 0.03 0.17% |
| Symbol | Macerich |
Macerich Price To Book Ratio
Is Retail REITs 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 Macerich. If investors know Macerich 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 Macerich 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 39.711 | Dividend Share 0.68 | Earnings Share (0.88) | Revenue Per Share | Quarterly Revenue Growth 0.487 |
The market value of Macerich is measured differently than its book value, which is the value of Macerich that is recorded on the company's balance sheet. Investors also form their own opinion of Macerich's value that differs from its market value or its book value, called intrinsic value, which is Macerich'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 Macerich's market value can be influenced by many factors that don't directly affect Macerich'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 Macerich's value and its price as these two are different measures arrived at by different means. Investors typically determine if Macerich is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Macerich'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.
Macerich '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 Macerich'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 Macerich.
| 12/26/2024 |
| 03/26/2025 |
If you would invest 0.00 in Macerich on December 26, 2024 and sell it all today you would earn a total of 0.00 from holding Macerich Company or generate 0.0% return on investment in Macerich over 90 days. Macerich is related to or competes with Kimco Realty, Regency Centers, Site Centers, Federal Realty, Realty Income, National Retail, and Getty Realty. Macerich is a fully integrated, self-managed and self-administered real estate investment trust, which focuses on the ac... More
Macerich 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 Macerich'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 Macerich Company upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (5.25) | |||
| Potential Upside | 2.77 |
Macerich Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Macerich's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Macerich's standard deviation. In reality, there are many statistical measures that can use Macerich historical prices to predict the future Macerich's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.22) |
Macerich Backtested Returns
Macerich has Sharpe Ratio of -0.0995, which conveys that the firm had a -0.0995 % return per unit of risk over the last 3 months. Macerich exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Macerich's Standard Deviation of 2.39, mean deviation of 1.79, and Risk Adjusted Performance of (0.09) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.22, which conveys 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, Macerich will likely underperform. At this point, Macerich has a negative expected return of -0.23%. Please make sure to verify Macerich's skewness, day typical price, and the relationship between the maximum drawdown and daily balance of power , to decide if Macerich performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.45 |
Modest reverse predictability
Macerich Company has modest reverse predictability. Overlapping area represents the amount of predictability between Macerich time series from 26th of December 2024 to 9th of February 2025 and 9th of February 2025 to 26th 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 Macerich price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Macerich price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 2.38 |
Macerich lagged returns against current returns
Autocorrelation, which is Macerich 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 Macerich's stock expected returns. We can calculate the autocorrelation of Macerich returns to help us make a trade decision. For example, suppose you find that Macerich 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 |
Macerich 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 Macerich stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Macerich stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Macerich stock over time.
Current vs Lagged Prices |
| Timeline |
Macerich Lagged Returns
When evaluating Macerich's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Macerich stock have on its future price. Macerich 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, Macerich autocorrelation shows the relationship between Macerich stock current value and its past values and can show if there is a momentum factor associated with investing in Macerich Company.
Regressed Prices |
| Timeline |
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Check out Macerich Correlation, Macerich Volatility and Macerich Alpha and Beta module to complement your research on Macerich. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Macerich 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.