Kmw (Korea) Market Value
| 032500 Stock | KRW 8,600 30.00 0.35% |
| Symbol | Kmw |
Kmw '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 Kmw'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 Kmw.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Kmw on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Kmw Inc or generate 0.0% return on investment in Kmw over 30 days. Kmw is related to or competes with Daou Data, Busan Industrial, Finebesteel, Shinhan Inverse, Fine Besteel, Hyundai Heavy, and Hanwha Aerospace. KMW Inc. designs, develops, manufactures, and sells RF and air interface solutions for SI and communications service companies worldwide. More
Kmw 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 Kmw'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 Kmw Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 16.63 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 7.1 |
Kmw Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kmw's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kmw's standard deviation. In reality, there are many statistical measures that can use Kmw historical prices to predict the future Kmw's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.80) | |||
| Treynor Ratio | (0.85) |
Kmw Inc Backtested Returns
Kmw appears to be very steady, given 3 months investment horizon. Kmw Inc has Sharpe Ratio of 0.0841, which conveys that the firm had a 0.0841% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Kmw, which you can use to evaluate the volatility of the firm. Please exercise Kmw's Risk Adjusted Performance of (0.04), mean deviation of 2.71, and Standard Deviation of 3.61 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Kmw holds a performance score of 6. The company secures a Beta (Market Risk) of 0.28, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kmw's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kmw is expected to be smaller as well. Please check Kmw's treynor ratio, value at risk, skewness, as well as the relationship between the maximum drawdown and potential upside , to make a quick decision on whether Kmw's current price movements will revert.
Auto-correlation | 0.58 |
Modest predictability
Kmw Inc has modest predictability. Overlapping area represents the amount of predictability between Kmw time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Kmw Inc price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Kmw price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 53.6 K |
Kmw Inc lagged returns against current returns
Autocorrelation, which is Kmw 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 Kmw's stock expected returns. We can calculate the autocorrelation of Kmw returns to help us make a trade decision. For example, suppose you find that Kmw 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 |
Kmw 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 Kmw stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kmw stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kmw stock over time.
Current vs Lagged Prices |
| Timeline |
Kmw Lagged Returns
When evaluating Kmw's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kmw stock have on its future price. Kmw 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, Kmw autocorrelation shows the relationship between Kmw stock current value and its past values and can show if there is a momentum factor associated with investing in Kmw Inc.
Regressed Prices |
| Timeline |
Pair Trading with Kmw
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 Kmw 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 Kmw will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Kmw could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kmw 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 Kmw - 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 Kmw Inc to buy it.
The correlation of Kmw 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 Kmw moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kmw Inc 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 Kmw 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 Kmw Stock
Kmw financial ratios help investors to determine whether Kmw 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 Kmw with respect to the benefits of owning Kmw security.