Great Wall (Taiwan) Market Value
| 1210 Stock | TWD 57.00 0.40 0.70% |
| Symbol | Great |
Great Wall '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 Great Wall'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 Great Wall.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Great Wall on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding Great Wall Enterprise or generate 0.0% return on investment in Great Wall over 30 days. Great Wall is related to or competes with Charoen Pokphand, Uni President, Lien Hwa, Standard Foods, and Taiwan Cement. Great Wall Enterprise Co., Ltd. procures, produces, processes, imports, markets, sells, distributes, wholesales, retails... More
Great Wall 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 Great Wall'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 Great Wall Enterprise upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 8.84 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 1.75 |
Great Wall Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Great Wall's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Great Wall's standard deviation. In reality, there are many statistical measures that can use Great Wall historical prices to predict the future Great Wall's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 0.4657 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Great Wall's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Great Wall Enterprise Backtested Returns
Great Wall Enterprise holds Efficiency (Sharpe) Ratio of -0.0248, which attests that the entity had a -0.0248% return per unit of risk over the last 3 months. Great Wall Enterprise exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Great Wall's Market Risk Adjusted Performance of 0.4757, risk adjusted performance of (0.01), and Standard Deviation of 1.24 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.0877, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Great Wall are expected to decrease at a much lower rate. During the bear market, Great Wall is likely to outperform the market. Great Wall Enterprise has an expected return of -0.0308%. Please make sure to check out Great Wall coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if Great Wall Enterprise performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.53 |
Good reverse predictability
Great Wall Enterprise has good reverse predictability. Overlapping area represents the amount of predictability between Great Wall time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 Great Wall Enterprise price movement. The serial correlation of -0.53 indicates that about 53.0% of current Great Wall price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.34 |
Great Wall Enterprise lagged returns against current returns
Autocorrelation, which is Great Wall 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 Great Wall's stock expected returns. We can calculate the autocorrelation of Great Wall returns to help us make a trade decision. For example, suppose you find that Great Wall 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 |
Great Wall 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 Great Wall stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Great Wall stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Great Wall stock over time.
Current vs Lagged Prices |
| Timeline |
Great Wall Lagged Returns
When evaluating Great Wall's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Great Wall stock have on its future price. Great Wall 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, Great Wall autocorrelation shows the relationship between Great Wall stock current value and its past values and can show if there is a momentum factor associated with investing in Great Wall Enterprise.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Great Wall in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Great Wall's short interest history, or implied volatility extrapolated from Great Wall options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Great Wall Correlation, Great Wall Volatility and Great Wall Alpha and Beta module to complement your research on Great Wall. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary Tools for Great Stock analysis
When running Great Wall's price analysis, check to measure Great Wall's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Great Wall is operating at the current time. Most of Great Wall's value examination focuses on studying past and present price action to predict the probability of Great Wall's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Great Wall's price. Additionally, you may evaluate how the addition of Great Wall to your portfolios can decrease your overall portfolio volatility.
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Great Wall technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.