Kang Yong (Thailand) Market Value
| KYE Stock | THB 287.00 1.00 0.35% |
| Symbol | Kang |
Kang Yong '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 Kang Yong'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 Kang Yong.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Kang Yong on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Kang Yong Electric or generate 0.0% return on investment in Kang Yong over 540 days. Kang Yong is related to or competes with Hwa Fong, Hana Microelectronics, KGI Securities, and Haad Thip. Kang Yong Electric Public Company Limited manufactures and distributes household electrical appliances in Thailand More
Kang Yong 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 Kang Yong'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 Kang Yong Electric upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5048 | |||
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 2.41 | |||
| Value At Risk | (0.68) | |||
| Potential Upside | 0.6993 |
Kang Yong Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kang Yong's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kang Yong's standard deviation. In reality, there are many statistical measures that can use Kang Yong historical prices to predict the future Kang Yong's volatility.| Risk Adjusted Performance | 0.003 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.24) | |||
| Treynor Ratio | (0.13) |
Kang Yong Electric Backtested Returns
Kang Yong is out of control given 3 months investment horizon. Kang Yong Electric 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 were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 14.53% are justified by taking the suggested risk. Use Kang Yong Electric Mean Deviation of 0.2695, risk adjusted performance of 0.003, and Downside Deviation of 0.5048 to evaluate company specific risk that cannot be diversified away. Kang Yong holds a performance score of 8 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 0.0298, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kang Yong's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kang Yong is expected to be smaller as well. Use Kang Yong Electric sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to analyze future returns on Kang Yong Electric.
Auto-correlation | -0.01 |
Very weak reverse predictability
Kang Yong Electric has very weak reverse predictability. Overlapping area represents the amount of predictability between Kang Yong time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th of November 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 Kang Yong Electric price movement. The serial correlation of -0.01 indicates that just 1.0% of current Kang Yong price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 589.19 |
Kang Yong Electric lagged returns against current returns
Autocorrelation, which is Kang Yong 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 Kang Yong's stock expected returns. We can calculate the autocorrelation of Kang Yong returns to help us make a trade decision. For example, suppose you find that Kang Yong 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 |
Kang Yong 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 Kang Yong stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kang Yong stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kang Yong stock over time.
Current vs Lagged Prices |
| Timeline |
Kang Yong Lagged Returns
When evaluating Kang Yong's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kang Yong stock have on its future price. Kang Yong 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, Kang Yong autocorrelation shows the relationship between Kang Yong stock current value and its past values and can show if there is a momentum factor associated with investing in Kang Yong Electric.
Regressed Prices |
| Timeline |
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Kang Yong financial ratios help investors to determine whether Kang 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 Kang with respect to the benefits of owning Kang Yong security.