SIMON PROPERTY GROUP Market Value
| 828807DK0 | 84.25 5.55 6.18% |
| Symbol | SIMON |
SIMON '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 SIMON's bond 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 SIMON.
| 02/09/2023 |
| 11/30/2024 |
If you would invest 0.00 in SIMON on February 9, 2023 and sell it all today you would earn a total of 0.00 from holding SIMON PROPERTY GROUP or generate 0.0% return on investment in SIMON over 660 days. SIMON is related to or competes with 00108WAF7, 90331HPL1, Bank of America, GE Aerospace, Dupont De, International Business, and McDonalds. More
SIMON 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 SIMON's bond 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 SIMON PROPERTY GROUP upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 7.08 | |||
| Value At Risk | (1.52) | |||
| Potential Upside | 0.4503 |
SIMON Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SIMON's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SIMON's standard deviation. In reality, there are many statistical measures that can use SIMON historical prices to predict the future SIMON's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | 0.5501 |
SIMON PROPERTY GROUP Backtested Returns
SIMON PROPERTY GROUP owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the bond had a -0.12% return per unit of standard deviation over the last 3 months. SIMON PROPERTY GROUP exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SIMON's variance of 1.94, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The entity has a beta of -0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SIMON are expected to decrease at a much lower rate. During the bear market, SIMON is likely to outperform the market.
Auto-correlation | -0.57 |
Good reverse predictability
SIMON PROPERTY GROUP has good reverse predictability. Overlapping area represents the amount of predictability between SIMON time series from 9th of February 2023 to 5th of January 2024 and 5th of January 2024 to 30th of November 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 SIMON PROPERTY GROUP price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current SIMON price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.57 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 3.56 |
SIMON PROPERTY GROUP lagged returns against current returns
Autocorrelation, which is SIMON bond'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 SIMON's bond expected returns. We can calculate the autocorrelation of SIMON returns to help us make a trade decision. For example, suppose you find that SIMON has exhibited high autocorrelation historically, and you observe that the bond 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 |
SIMON 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 SIMON bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SIMON bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SIMON bond over time.
Current vs Lagged Prices |
| Timeline |
SIMON Lagged Returns
When evaluating SIMON's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SIMON bond have on its future price. SIMON 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, SIMON autocorrelation shows the relationship between SIMON bond current value and its past values and can show if there is a momentum factor associated with investing in SIMON PROPERTY GROUP.
Regressed Prices |
| Timeline |
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.Other Information on Investing in SIMON Bond
SIMON financial ratios help investors to determine whether SIMON Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SIMON with respect to the benefits of owning SIMON security.