Kosy JSC (Vietnam) Market Value
| KOS Stock | 39,350 50.00 0.13% |
| Symbol | Kosy |
Kosy JSC '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 Kosy JSC'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 Kosy JSC.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in Kosy JSC on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding Kosy JSC or generate 0.0% return on investment in Kosy JSC over 30 days. Kosy JSC is related to or competes with Vietnam Petroleum, Pha Lai, Tin Nghia, Fecon Mining, and Ducgiang Chemicals. More
Kosy JSC 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 Kosy JSC'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 Kosy JSC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3629 | |||
| Information Ratio | 0.0882 | |||
| Maximum Drawdown | 0.6517 | |||
| Value At Risk | (0.39) | |||
| Potential Upside | 0.2601 |
Kosy JSC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kosy JSC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kosy JSC's standard deviation. In reality, there are many statistical measures that can use Kosy JSC historical prices to predict the future Kosy JSC's volatility.| Risk Adjusted Performance | 0.0944 | |||
| Jensen Alpha | 0.0211 | |||
| Total Risk Alpha | 0.02 | |||
| Sortino Ratio | 0.045 | |||
| Treynor Ratio | 0.4373 |
Kosy JSC Backtested Returns
As of now, Kosy Stock is very steady. Kosy JSC has Sharpe Ratio of 0.17, which conveys that the firm had a 0.17 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Kosy JSC, which you can use to evaluate the volatility of the firm. Please verify Kosy JSC's Mean Deviation of 0.1339, risk adjusted performance of 0.0944, and Downside Deviation of 0.3629 to check out if the risk estimate we provide is consistent with the expected return of 0.0289%. Kosy JSC has a performance score of 13 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0487, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kosy JSC's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kosy JSC is expected to be smaller as well. Kosy JSC right now secures a risk of 0.17%. Please verify Kosy JSC expected short fall, and the relationship between the value at risk and daily balance of power , to decide if Kosy JSC will be following its current price movements.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Kosy JSC has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Kosy JSC time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 Kosy JSC price movement. The serial correlation of -0.74 indicates that around 74.0% of current Kosy JSC price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 5510.2 |
Kosy JSC lagged returns against current returns
Autocorrelation, which is Kosy JSC 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 Kosy JSC's stock expected returns. We can calculate the autocorrelation of Kosy JSC returns to help us make a trade decision. For example, suppose you find that Kosy JSC 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 |
Kosy JSC 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 Kosy JSC stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kosy JSC stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kosy JSC stock over time.
Current vs Lagged Prices |
| Timeline |
Kosy JSC Lagged Returns
When evaluating Kosy JSC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kosy JSC stock have on its future price. Kosy JSC 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, Kosy JSC autocorrelation shows the relationship between Kosy JSC stock current value and its past values and can show if there is a momentum factor associated with investing in Kosy JSC.
Regressed Prices |
| Timeline |
Pair Trading with Kosy JSC
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Kosy JSC position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Kosy JSC will appreciate offsetting losses from the drop in the long position's value.Moving against Kosy Stock
The ability to find closely correlated positions to Kosy JSC could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kosy JSC when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Kosy JSC - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Kosy JSC to buy it.
The correlation of Kosy JSC is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Kosy JSC moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kosy JSC moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Kosy JSC can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Kosy Stock
Kosy JSC financial ratios help investors to determine whether Kosy 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 Kosy with respect to the benefits of owning Kosy JSC security.