Schwager (Chile) Market Value
| SCHWAGER | CLP 1.08 0.00 0.00% |
| Symbol | Schwager |
Schwager '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 Schwager'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 Schwager.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Schwager on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Schwager or generate 0.0% return on investment in Schwager over 30 days. Schwager is related to or competes with Aguas Andinas, Parq Arauco, Enel Generacin, Sociedad Matriz, and Empresa Nacional. Schwager Energy S.A. engages in the mining and renewable energy businesses in Chile More
Schwager 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 Schwager'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 Schwager upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.77 | |||
| Information Ratio | 0.0138 | |||
| Maximum Drawdown | 10.8 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 2.88 |
Schwager Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwager's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwager's standard deviation. In reality, there are many statistical measures that can use Schwager historical prices to predict the future Schwager's volatility.| Risk Adjusted Performance | 0.0844 | |||
| Jensen Alpha | 0.2094 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0076 | |||
| Treynor Ratio | (0.31) |
Schwager Backtested Returns
Schwager owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0304, which indicates the firm had a -0.0304% return per unit of risk over the last 3 months. Schwager exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schwager's Risk Adjusted Performance of 0.0844, semi deviation of 0.8114, and Coefficient Of Variation of 963.0 to confirm the risk estimate we provide. The entity has a beta of -0.48, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Schwager are expected to decrease at a much lower rate. During the bear market, Schwager is likely to outperform the market. At this point, Schwager has a negative expected return of -0.028%. Please make sure to validate Schwager's expected short fall, day median price, as well as the relationship between the value at risk and total risk alpha , to decide if Schwager performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.48 |
Modest reverse predictability
Schwager has modest reverse predictability. Overlapping area represents the amount of predictability between Schwager time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 Schwager price movement. The serial correlation of -0.48 indicates that about 48.0% of current Schwager price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Schwager lagged returns against current returns
Autocorrelation, which is Schwager 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 Schwager's stock expected returns. We can calculate the autocorrelation of Schwager returns to help us make a trade decision. For example, suppose you find that Schwager 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 |
Schwager 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 Schwager stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwager stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwager stock over time.
Current vs Lagged Prices |
| Timeline |
Schwager Lagged Returns
When evaluating Schwager's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwager stock have on its future price. Schwager 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, Schwager autocorrelation shows the relationship between Schwager stock current value and its past values and can show if there is a momentum factor associated with investing in Schwager.
Regressed Prices |
| Timeline |
Pair Trading with Schwager
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Schwager position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Schwager will appreciate offsetting losses from the drop in the long position's value.Moving against Schwager Stock
The ability to find closely correlated positions to Schwager could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Schwager when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Schwager - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Schwager to buy it.
The correlation of Schwager is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Schwager moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Schwager moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Schwager can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Schwager Stock
Schwager financial ratios help investors to determine whether Schwager 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 Schwager with respect to the benefits of owning Schwager security.