Industrial Securities (China) Market Value
| 601377 Stock | 6.11 0.14 2.35% |
| Symbol | Industrial |
Industrial Securities '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 Industrial Securities' 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 Industrial Securities.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Industrial Securities on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Industrial Securities Co or generate 0.0% return on investment in Industrial Securities over 90 days. Industrial Securities is related to or competes with Elite Color, Fangda Special, Cabio Biotech, Hangzhou Guotai, Bengang Steel, Hang Xiao, and Northking Information. More
Industrial Securities 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 Industrial Securities' 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 Industrial Securities Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0248 | |||
| Maximum Drawdown | 6.54 | |||
| Value At Risk | (2.18) | |||
| Potential Upside | 2.0 |
Industrial Securities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Industrial Securities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Industrial Securities' standard deviation. In reality, there are many statistical measures that can use Industrial Securities historical prices to predict the future Industrial Securities' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | 0.0949 | |||
| Treynor Ratio | 0.3239 |
Industrial Securities Backtested Returns
Industrial Securities holds Efficiency (Sharpe) Ratio of -0.0481, which attests that the entity had a -0.0481 % return per unit of risk over the last 3 months. Industrial Securities exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Industrial Securities' Risk Adjusted Performance of (0.04), market risk adjusted performance of 0.3339, and Standard Deviation of 1.36 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.23, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Industrial Securities are expected to decrease at a much lower rate. During the bear market, Industrial Securities is likely to outperform the market. At this point, Industrial Securities has a negative expected return of -0.0654%. Please make sure to check out Industrial Securities' coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if Industrial Securities performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.49 |
Average predictability
Industrial Securities Co has average predictability. Overlapping area represents the amount of predictability between Industrial Securities time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Industrial Securities price movement. The serial correlation of 0.49 indicates that about 49.0% of current Industrial Securities price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Industrial Securities lagged returns against current returns
Autocorrelation, which is Industrial Securities 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 Industrial Securities' stock expected returns. We can calculate the autocorrelation of Industrial Securities returns to help us make a trade decision. For example, suppose you find that Industrial Securities 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 |
Industrial Securities 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 Industrial Securities stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Industrial Securities stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Industrial Securities stock over time.
Current vs Lagged Prices |
| Timeline |
Industrial Securities Lagged Returns
When evaluating Industrial Securities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Industrial Securities stock have on its future price. Industrial Securities 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, Industrial Securities autocorrelation shows the relationship between Industrial Securities stock current value and its past values and can show if there is a momentum factor associated with investing in Industrial Securities Co.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Industrial Stock
Industrial Securities financial ratios help investors to determine whether Industrial 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 Industrial with respect to the benefits of owning Industrial Securities security.