NC Housing (Thailand) Market Value
| NCH Stock | THB 0.71 0.01 1.39% |
| Symbol | NCH |
NC Housing '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 NC Housing'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 NC Housing.
| 01/03/2023 |
| 12/23/2024 |
If you would invest 0.00 in NC Housing on January 3, 2023 and sell it all today you would earn a total of 0.00 from holding NC Housing Public or generate 0.0% return on investment in NC Housing over 720 days. NC Housing is related to or competes with Bangkok Bank, Siam Cement, PTT Public, SCB X, and Krung Thai. Housing Public Company Limited operates as a property development company in Thailand More
NC Housing 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 NC Housing'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 NC Housing Public upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 12.45 | |||
| Value At Risk | (1.39) | |||
| Potential Upside | 1.37 |
NC Housing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NC Housing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NC Housing's standard deviation. In reality, there are many statistical measures that can use NC Housing historical prices to predict the future NC Housing's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 21.91 |
NC Housing Public Backtested Returns
NC Housing Public retains Efficiency (Sharpe Ratio) of -0.12, which conveys that the company had a -0.12% return per unit of price deviation over the last 3 months. NC Housing exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify NC Housing's Mean Deviation of 0.843, market risk adjusted performance of 21.92, and Information Ratio of (0.08) to check out the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.0046, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning NC Housing are expected to decrease at a much lower rate. During the bear market, NC Housing is likely to outperform the market. At this point, NC Housing Public has a negative expected return of -0.18%. Please make sure to verify NC Housing's mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if NC Housing Public performance from the past will be repeated sooner or later.
Auto-correlation | 0.79 |
Good predictability
NC Housing Public has good predictability. Overlapping area represents the amount of predictability between NC Housing time series from 3rd of January 2023 to 29th of December 2023 and 29th of December 2023 to 23rd 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 NC Housing Public price movement. The serial correlation of 0.79 indicates that around 79.0% of current NC Housing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
NC Housing Public lagged returns against current returns
Autocorrelation, which is NC Housing 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 NC Housing's stock expected returns. We can calculate the autocorrelation of NC Housing returns to help us make a trade decision. For example, suppose you find that NC Housing 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 |
NC Housing 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 NC Housing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NC Housing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NC Housing stock over time.
Current vs Lagged Prices |
| Timeline |
NC Housing Lagged Returns
When evaluating NC Housing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NC Housing stock have on its future price. NC Housing 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, NC Housing autocorrelation shows the relationship between NC Housing stock current value and its past values and can show if there is a momentum factor associated with investing in NC Housing Public.
Regressed Prices |
| Timeline |
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NC Housing financial ratios help investors to determine whether NCH Stock 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 NCH with respect to the benefits of owning NC Housing security.