KBSTAR Battery (Korea) Market Value
| 446700 Etf | 9,910 155.00 1.54% |
| Symbol | KBSTAR |
KBSTAR Battery '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 KBSTAR Battery's etf 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 KBSTAR Battery.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in KBSTAR Battery on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding KBSTAR Battery Recycling or generate 0.0% return on investment in KBSTAR Battery over 30 days.
KBSTAR Battery 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 KBSTAR Battery's etf 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 KBSTAR Battery Recycling upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.56 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 12.35 | |||
| Value At Risk | (4.11) | |||
| Potential Upside | 3.83 |
KBSTAR Battery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KBSTAR Battery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KBSTAR Battery's standard deviation. In reality, there are many statistical measures that can use KBSTAR Battery historical prices to predict the future KBSTAR Battery's volatility.| Risk Adjusted Performance | 0.0207 | |||
| Jensen Alpha | 0.0637 | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.12) |
KBSTAR Battery Recycling Backtested Returns
At this point, KBSTAR Battery is very steady. KBSTAR Battery Recycling has Sharpe Ratio of 0.0151, which conveys that the etf had a 0.0151% return per unit of volatility over the last 3 months. We have found thirty technical indicators for KBSTAR Battery, which you can use to evaluate the volatility of the entity. Please verify KBSTAR Battery's Market Risk Adjusted Performance of (0.11), mean deviation of 1.9, and Downside Deviation of 2.56 to check out if the risk estimate we provide is consistent with the expected return of 0.0375%. The entity secures a Beta (Market Risk) of -0.28, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning KBSTAR Battery are expected to decrease at a much lower rate. During the bear market, KBSTAR Battery is likely to outperform the market.
Auto-correlation | -0.53 |
Good reverse predictability
KBSTAR Battery Recycling has good reverse predictability. Overlapping area represents the amount of predictability between KBSTAR Battery time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th of December 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 KBSTAR Battery Recycling price movement. The serial correlation of -0.53 indicates that about 53.0% of current KBSTAR Battery price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 45.3 K |
KBSTAR Battery Recycling lagged returns against current returns
Autocorrelation, which is KBSTAR Battery etf'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 KBSTAR Battery's etf expected returns. We can calculate the autocorrelation of KBSTAR Battery returns to help us make a trade decision. For example, suppose you find that KBSTAR Battery has exhibited high autocorrelation historically, and you observe that the etf 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 |
KBSTAR Battery 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 KBSTAR Battery etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KBSTAR Battery etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KBSTAR Battery etf over time.
Current vs Lagged Prices |
| Timeline |
KBSTAR Battery Lagged Returns
When evaluating KBSTAR Battery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KBSTAR Battery etf have on its future price. KBSTAR Battery 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, KBSTAR Battery autocorrelation shows the relationship between KBSTAR Battery etf current value and its past values and can show if there is a momentum factor associated with investing in KBSTAR Battery Recycling.
Regressed Prices |
| Timeline |
Pair Trading with KBSTAR Battery
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 KBSTAR Battery 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 KBSTAR Battery will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to KBSTAR Battery could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KBSTAR Battery 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 KBSTAR Battery - 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 KBSTAR Battery Recycling to buy it.
The correlation of KBSTAR Battery 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 KBSTAR Battery moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KBSTAR Battery Recycling 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 KBSTAR Battery 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.