Max Zipper (Taiwan) Market Value
| 8932 Stock | TWD 114.00 1.50 1.30% |
| Symbol | Max |
Max Zipper '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 Max Zipper'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 Max Zipper.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Max Zipper on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Max Zipper Co or generate 0.0% return on investment in Max Zipper over 30 days. Max Zipper is related to or competes with Ruentex Industries, Grand Pacific, Formosa International, Jinli Group, and Sinbon Electronics. Max Zipper Co., Ltd. manufactures and markets zippers worldwide More
Max Zipper 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 Max Zipper'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 Max Zipper Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 13.35 | |||
| Value At Risk | (6.61) | |||
| Potential Upside | 3.6 |
Max Zipper Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Max Zipper's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Max Zipper's standard deviation. In reality, there are many statistical measures that can use Max Zipper historical prices to predict the future Max Zipper's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | (0.27) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Max Zipper'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.
Max Zipper Backtested Returns
Max Zipper appears to be very steady, given 3 months investment horizon. Max Zipper has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Max Zipper, which you can use to evaluate the volatility of the firm. Please exercise Max Zipper's Mean Deviation of 1.87, risk adjusted performance of (0.01), and Standard Deviation of 2.79 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Max Zipper holds a performance score of 8. The company secures a Beta (Market Risk) of 0.38, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Max Zipper's returns are expected to increase less than the market. However, during the bear market, the loss of holding Max Zipper is expected to be smaller as well. Please check Max Zipper's maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to make a quick decision on whether Max Zipper's current price movements will revert.
Auto-correlation | -0.17 |
Insignificant reverse predictability
Max Zipper Co has insignificant reverse predictability. Overlapping area represents the amount of predictability between Max Zipper time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Max Zipper price movement. The serial correlation of -0.17 indicates that over 17.0% of current Max Zipper price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 2.09 |
Max Zipper lagged returns against current returns
Autocorrelation, which is Max Zipper 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 Max Zipper's stock expected returns. We can calculate the autocorrelation of Max Zipper returns to help us make a trade decision. For example, suppose you find that Max Zipper 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 |
Max Zipper 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 Max Zipper stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Max Zipper stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Max Zipper stock over time.
Current vs Lagged Prices |
| Timeline |
Max Zipper Lagged Returns
When evaluating Max Zipper's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Max Zipper stock have on its future price. Max Zipper 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, Max Zipper autocorrelation shows the relationship between Max Zipper stock current value and its past values and can show if there is a momentum factor associated with investing in Max Zipper Co.
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 Max Zipper 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, Max Zipper's short interest history, or implied volatility extrapolated from Max Zipper options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Max Zipper Correlation, Max Zipper Volatility and Max Zipper Alpha and Beta module to complement your research on Max Zipper. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Complementary Tools for Max Stock analysis
When running Max Zipper's price analysis, check to measure Max Zipper'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 Max Zipper is operating at the current time. Most of Max Zipper's value examination focuses on studying past and present price action to predict the probability of Max Zipper's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Max Zipper's price. Additionally, you may evaluate how the addition of Max Zipper to your portfolios can decrease your overall portfolio volatility.
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Max Zipper 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.