Sinotrans Limited Stock Market Value
| SNOTF Stock | USD 0.48 0.00 0.00% |
| Symbol | Sinotrans |
Sinotrans '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 Sinotrans' pink sheet 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 Sinotrans.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Sinotrans on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding Sinotrans Limited or generate 0.0% return on investment in Sinotrans over 30 days. Sinotrans is related to or competes with United Parcel, GXO Logistics, JB Hunt, Expeditors International, and CH Robinson. Sinotrans Limited provides integrated logistics services primarily in the Peoples Republic of China More
Sinotrans 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 Sinotrans' pink sheet 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 Sinotrans Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.099 | |||
| Maximum Drawdown | 20.0 |
Sinotrans Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sinotrans' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sinotrans' standard deviation. In reality, there are many statistical measures that can use Sinotrans historical prices to predict the future Sinotrans' volatility.| Risk Adjusted Performance | 0.0863 | |||
| Jensen Alpha | 0.2989 | |||
| Total Risk Alpha | 0.1033 | |||
| Treynor Ratio | (2.47) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sinotrans' 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.
Sinotrans Limited Backtested Returns
Sinotrans appears to be abnormally volatile, given 3 months investment horizon. Sinotrans Limited owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have found sixteen technical indicators for Sinotrans Limited, which you can use to evaluate the volatility of the company. Please review Sinotrans' Variance of 6.06, risk adjusted performance of 0.0863, and Coefficient Of Variation of 812.4 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sinotrans holds a performance score of 9. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sinotrans are expected to decrease at a much lower rate. During the bear market, Sinotrans is likely to outperform the market. Please check Sinotrans' treynor ratio and day median price , to make a quick decision on whether Sinotrans' existing price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Sinotrans Limited has no correlation between past and present. Overlapping area represents the amount of predictability between Sinotrans time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd 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 Sinotrans Limited price movement. The serial correlation of 0.0 indicates that just 0.0% of current Sinotrans price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sinotrans Limited lagged returns against current returns
Autocorrelation, which is Sinotrans pink sheet'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 Sinotrans' pink sheet expected returns. We can calculate the autocorrelation of Sinotrans returns to help us make a trade decision. For example, suppose you find that Sinotrans has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Sinotrans 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 Sinotrans pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sinotrans pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sinotrans pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sinotrans Lagged Returns
When evaluating Sinotrans' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sinotrans pink sheet have on its future price. Sinotrans 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, Sinotrans autocorrelation shows the relationship between Sinotrans pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sinotrans Limited.
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 Sinotrans 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, Sinotrans' short interest history, or implied volatility extrapolated from Sinotrans options trading.
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Check out Sinotrans Correlation, Sinotrans Volatility and Sinotrans Alpha and Beta module to complement your research on Sinotrans. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Sinotrans Pink Sheet analysis
When running Sinotrans' price analysis, check to measure Sinotrans' 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 Sinotrans is operating at the current time. Most of Sinotrans' value examination focuses on studying past and present price action to predict the probability of Sinotrans' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sinotrans' price. Additionally, you may evaluate how the addition of Sinotrans to your portfolios can decrease your overall portfolio volatility.
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Sinotrans technical pink sheet 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, pink sheet market cycles, or different charting patterns.