Prime Office (Thailand) Market Value
| POPF Fund | THB 5.65 0.05 0.89% |
| Symbol | Prime |
Prime Office '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 Prime Office's fund 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 Prime Office.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Prime Office on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Prime Office Leasehold or generate 0.0% return on investment in Prime Office over 90 days. Prime Office is related to or competes with CPN Commercial, and LH Shopping. Prime Office Leasehold Property Fund specializes in real estate investments in the office market More
Prime Office 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 Prime Office's fund 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 Prime Office Leasehold upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 5.25 | |||
| Value At Risk | (2.30) | |||
| Potential Upside | 0.9091 |
Prime Office Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prime Office's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prime Office's standard deviation. In reality, there are many statistical measures that can use Prime Office historical prices to predict the future Prime Office's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | 0.005 | |||
| Treynor Ratio | 1.47 |
Prime Office Leasehold Backtested Returns
Prime Office Leasehold maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the entity had a -0.11 % return per unit of risk over the last 3 months. Prime Office Leasehold exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Prime Office's Variance of 0.9754, coefficient of variation of (908.38), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The fund holds a Beta of -0.0807, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Prime Office are expected to decrease at a much lower rate. During the bear market, Prime Office is likely to outperform the market.
Auto-correlation | -0.12 |
Insignificant reverse predictability
Prime Office Leasehold has insignificant reverse predictability. Overlapping area represents the amount of predictability between Prime Office time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Prime Office Leasehold price movement. The serial correlation of -0.12 indicates that less than 12.0% of current Prime Office price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Prime Office Leasehold lagged returns against current returns
Autocorrelation, which is Prime Office fund'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 Prime Office's fund expected returns. We can calculate the autocorrelation of Prime Office returns to help us make a trade decision. For example, suppose you find that Prime Office has exhibited high autocorrelation historically, and you observe that the fund 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 |
Prime Office 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 Prime Office fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prime Office fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Prime Office fund over time.
Current vs Lagged Prices |
| Timeline |
Prime Office Lagged Returns
When evaluating Prime Office's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Prime Office fund have on its future price. Prime Office 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, Prime Office autocorrelation shows the relationship between Prime Office fund current value and its past values and can show if there is a momentum factor associated with investing in Prime Office Leasehold.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectOther Information on Investing in Prime Fund
Prime Office financial ratios help investors to determine whether Prime Fund 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 Prime with respect to the benefits of owning Prime Office security.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |