Kossan Rubber Industries Stock Market Value
| KSRBF Stock | USD 0.27 0.00 0.00% |
| Symbol | Kossan |
Kossan Rubber '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 Kossan Rubber's 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 Kossan Rubber.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Kossan Rubber on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Kossan Rubber Industries or generate 0.0% return on investment in Kossan Rubber over 30 days. Kossan Rubber is related to or competes with GlucoTrack, Sharps Technology, Utah Medical, Innovative Eyewear, Microbot Medical, Meihua International, and Intuitive Surgical. Kossan Rubber Industries Bhd., an investment holding company, manufactures and sells latex disposable gloves in Malaysia... More
Kossan Rubber 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 Kossan Rubber's 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 Kossan Rubber Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0534 | |||
| Maximum Drawdown | 8.0 |
Kossan Rubber Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kossan Rubber's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kossan Rubber's standard deviation. In reality, there are many statistical measures that can use Kossan Rubber historical prices to predict the future Kossan Rubber's volatility.| Risk Adjusted Performance | 0.0798 | |||
| Jensen Alpha | 0.1264 | |||
| Total Risk Alpha | 0.0179 | |||
| Treynor Ratio | (0.43) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kossan Rubber'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.
Kossan Rubber Industries Backtested Returns
We consider Kossan Rubber extremely dangerous. Kossan Rubber Industries has Sharpe Ratio of 0.13, which conveys that the firm had a 0.13% return per unit of risk over the last 3 months. We have found sixteen technical indicators for Kossan Rubber, which you can use to evaluate the volatility of the firm. Please verify Kossan Rubber's Standard Deviation of 0.9847, risk adjusted performance of 0.0798, and Mean Deviation of 0.2388 to check out if the risk estimate we provide is consistent with the expected return of 0.13%. Kossan Rubber has a performance score of 9 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.26, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Kossan Rubber are expected to decrease at a much lower rate. During the bear market, Kossan Rubber is likely to outperform the market. Kossan Rubber Industries right now secures a risk of 1.02%. Please verify Kossan Rubber Industries coefficient of variation and the relationship between the information ratio and day median price , to decide if Kossan Rubber Industries will be following its current price movements.
Auto-correlation | 0.00 |
No correlation between past and present
Kossan Rubber Industries has no correlation between past and present. Overlapping area represents the amount of predictability between Kossan Rubber time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Kossan Rubber Industries price movement. The serial correlation of 0.0 indicates that just 0.0% of current Kossan Rubber 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 |
Kossan Rubber Industries lagged returns against current returns
Autocorrelation, which is Kossan Rubber 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 Kossan Rubber's pink sheet expected returns. We can calculate the autocorrelation of Kossan Rubber returns to help us make a trade decision. For example, suppose you find that Kossan Rubber 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 |
Kossan Rubber 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 Kossan Rubber pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kossan Rubber pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kossan Rubber pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Kossan Rubber Lagged Returns
When evaluating Kossan Rubber's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kossan Rubber pink sheet have on its future price. Kossan Rubber 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, Kossan Rubber autocorrelation shows the relationship between Kossan Rubber pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Kossan Rubber Industries.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Kossan Rubber Correlation, Kossan Rubber Volatility and Kossan Rubber Alpha and Beta module to complement your research on Kossan Rubber. Note that the Kossan Rubber Industries information on this page should be used as a complementary analysis to other Kossan Rubber's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for Kossan Pink Sheet analysis
When running Kossan Rubber's price analysis, check to measure Kossan Rubber'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 Kossan Rubber is operating at the current time. Most of Kossan Rubber's value examination focuses on studying past and present price action to predict the probability of Kossan Rubber's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kossan Rubber's price. Additionally, you may evaluate how the addition of Kossan Rubber to your portfolios can decrease your overall portfolio volatility.
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Kossan Rubber 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.