Quality Houses (Thailand) Market Value
| QHPF Fund | THB 4.74 0.00 0.00% |
| Symbol | Quality |
Quality Houses '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 Quality Houses' 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 Quality Houses.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Quality Houses on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Quality Houses Property or generate 0.0% return on investment in Quality Houses over 90 days. Quality Houses is related to or competes with LH Shopping, LH Hotel, and CPN Retail. Quality Houses Leasehold Property Fund is a fund of Land and Houses Fund Management Co., Ltd More
Quality Houses 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 Quality Houses' 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 Quality Houses Property upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.65 | |||
| Information Ratio | 0.0339 | |||
| Maximum Drawdown | 16.86 | |||
| Value At Risk | (1.96) | |||
| Potential Upside | 2.05 |
Quality Houses Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quality Houses' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quality Houses' standard deviation. In reality, there are many statistical measures that can use Quality Houses historical prices to predict the future Quality Houses' volatility.| Risk Adjusted Performance | 0.0847 | |||
| Jensen Alpha | 0.2477 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0413 | |||
| Treynor Ratio | (0.48) |
Quality Houses Property Backtested Returns
Quality Houses appears to be slightly risky, given 3 months investment horizon. Quality Houses Property maintains Sharpe Ratio (i.e., Efficiency) of 0.0986, which implies the entity had a 0.0986% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Quality Houses Property, which you can use to evaluate the volatility of the fund. Please evaluate Quality Houses' Risk Adjusted Performance of 0.0847, coefficient of variation of 973.55, and Semi Deviation of 0.713 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of -0.41, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Quality Houses are expected to decrease at a much lower rate. During the bear market, Quality Houses is likely to outperform the market.
Auto-correlation | -0.54 |
Good reverse predictability
Quality Houses Property has good reverse predictability. Overlapping area represents the amount of predictability between Quality Houses time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 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 Quality Houses Property price movement. The serial correlation of -0.54 indicates that about 54.0% of current Quality Houses price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Quality Houses Property lagged returns against current returns
Autocorrelation, which is Quality Houses 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 Quality Houses' fund expected returns. We can calculate the autocorrelation of Quality Houses returns to help us make a trade decision. For example, suppose you find that Quality Houses 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 |
Quality Houses 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 Quality Houses fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quality Houses fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quality Houses fund over time.
Current vs Lagged Prices |
| Timeline |
Quality Houses Lagged Returns
When evaluating Quality Houses' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quality Houses fund have on its future price. Quality Houses 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, Quality Houses autocorrelation shows the relationship between Quality Houses fund current value and its past values and can show if there is a momentum factor associated with investing in Quality Houses Property.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectOther Information on Investing in Quality Fund
Quality Houses financial ratios help investors to determine whether Quality 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 Quality with respect to the benefits of owning Quality Houses security.
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