GOOD BUILDINGS (Switzerland) Market Value
| GOOD Fund | 155.00 2.00 1.27% |
| Symbol | GOOD |
GOOD BUILDINGS '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 GOOD BUILDINGS'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 GOOD BUILDINGS.
| 11/28/2024 |
| 12/28/2024 |
If you would invest 0.00 in GOOD BUILDINGS on November 28, 2024 and sell it all today you would earn a total of 0.00 from holding GOOD BUILDINGS Swiss or generate 0.0% return on investment in GOOD BUILDINGS over 30 days.
GOOD BUILDINGS 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 GOOD BUILDINGS'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 GOOD BUILDINGS Swiss upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.03 | |||
| Information Ratio | 0.1668 | |||
| Maximum Drawdown | 4.85 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 1.44 |
GOOD BUILDINGS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GOOD BUILDINGS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GOOD BUILDINGS's standard deviation. In reality, there are many statistical measures that can use GOOD BUILDINGS historical prices to predict the future GOOD BUILDINGS's volatility.| Risk Adjusted Performance | 0.1629 | |||
| Jensen Alpha | 0.1719 | |||
| Total Risk Alpha | 0.1454 | |||
| Sortino Ratio | 0.1438 | |||
| Treynor Ratio | (2.04) |
GOOD BUILDINGS Swiss Backtested Returns
At this stage we consider GOOD Fund to be very steady. GOOD BUILDINGS Swiss holds Efficiency (Sharpe) Ratio of 0.19, which attests that the entity had a 0.19% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for GOOD BUILDINGS Swiss, which you can use to evaluate the volatility of the entity. Please check out GOOD BUILDINGS's market risk adjusted performance of (2.03), and Risk Adjusted Performance of 0.1629 to validate if the risk estimate we provide is consistent with the expected return of 0.17%. The fund retains a Market Volatility (i.e., Beta) of -0.0834, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning GOOD BUILDINGS are expected to decrease at a much lower rate. During the bear market, GOOD BUILDINGS is likely to outperform the market.
Auto-correlation | -0.51 |
Good reverse predictability
GOOD BUILDINGS Swiss has good reverse predictability. Overlapping area represents the amount of predictability between GOOD BUILDINGS time series from 28th of November 2024 to 13th of December 2024 and 13th of December 2024 to 28th 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 GOOD BUILDINGS Swiss price movement. The serial correlation of -0.51 indicates that about 51.0% of current GOOD BUILDINGS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 1.63 |
GOOD BUILDINGS Swiss lagged returns against current returns
Autocorrelation, which is GOOD BUILDINGS 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 GOOD BUILDINGS's fund expected returns. We can calculate the autocorrelation of GOOD BUILDINGS returns to help us make a trade decision. For example, suppose you find that GOOD BUILDINGS 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 |
GOOD BUILDINGS 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 GOOD BUILDINGS fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GOOD BUILDINGS fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GOOD BUILDINGS fund over time.
Current vs Lagged Prices |
| Timeline |
GOOD BUILDINGS Lagged Returns
When evaluating GOOD BUILDINGS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GOOD BUILDINGS fund have on its future price. GOOD BUILDINGS 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, GOOD BUILDINGS autocorrelation shows the relationship between GOOD BUILDINGS fund current value and its past values and can show if there is a momentum factor associated with investing in GOOD BUILDINGS Swiss.
Regressed Prices |
| Timeline |
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