KODEX 200LONGKOSDAQ150 (Korea) Market Value
| 360140 Etf | 9,365 30.00 0.32% |
| Symbol | KODEX |
KODEX 200LONGKOSDAQ150 '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 KODEX 200LONGKOSDAQ150'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 KODEX 200LONGKOSDAQ150.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in KODEX 200LONGKOSDAQ150 on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding KODEX 200LONGKOSDAQ150SHORT Futures or generate 0.0% return on investment in KODEX 200LONGKOSDAQ150 over 30 days.
KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150'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 KODEX 200LONGKOSDAQ150SHORT Futures upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.36 | |||
| Information Ratio | 0.0032 | |||
| Maximum Drawdown | 6.06 | |||
| Value At Risk | (2.14) | |||
| Potential Upside | 2.12 |
KODEX 200LONGKOSDAQ150 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KODEX 200LONGKOSDAQ150's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KODEX 200LONGKOSDAQ150's standard deviation. In reality, there are many statistical measures that can use KODEX 200LONGKOSDAQ150 historical prices to predict the future KODEX 200LONGKOSDAQ150's volatility.| Risk Adjusted Performance | 0.0272 | |||
| Jensen Alpha | 0.024 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0029 | |||
| Treynor Ratio | 0.2007 |
KODEX 200LONGKOSDAQ150 Backtested Returns
At this point, KODEX 200LONGKOSDAQ150 is very steady. KODEX 200LONGKOSDAQ150 has Sharpe Ratio of 0.0858, which conveys that the entity had a 0.0858% return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for KODEX 200LONGKOSDAQ150, which you can use to evaluate the volatility of the etf. Please verify KODEX 200LONGKOSDAQ150's Downside Deviation of 1.36, mean deviation of 0.9527, and Risk Adjusted Performance of 0.0272 to check out if the risk estimate we provide is consistent with the expected return of 0.11%. The etf secures a Beta (Market Risk) of 0.14, which conveys not very significant fluctuations relative to the market. As returns on the market increase, KODEX 200LONGKOSDAQ150's returns are expected to increase less than the market. However, during the bear market, the loss of holding KODEX 200LONGKOSDAQ150 is expected to be smaller as well.
Auto-correlation | 0.07 |
Virtually no predictability
KODEX 200LONGKOSDAQ150SHORT Futures has virtually no predictability. Overlapping area represents the amount of predictability between KODEX 200LONGKOSDAQ150 time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th 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 KODEX 200LONGKOSDAQ150 price movement. The serial correlation of 0.07 indicates that barely 7.0% of current KODEX 200LONGKOSDAQ150 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 5887.6 |
KODEX 200LONGKOSDAQ150 lagged returns against current returns
Autocorrelation, which is KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150's etf expected returns. We can calculate the autocorrelation of KODEX 200LONGKOSDAQ150 returns to help us make a trade decision. For example, suppose you find that KODEX 200LONGKOSDAQ150 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 |
KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KODEX 200LONGKOSDAQ150 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KODEX 200LONGKOSDAQ150 etf over time.
Current vs Lagged Prices |
| Timeline |
KODEX 200LONGKOSDAQ150 Lagged Returns
When evaluating KODEX 200LONGKOSDAQ150's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KODEX 200LONGKOSDAQ150 etf have on its future price. KODEX 200LONGKOSDAQ150 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, KODEX 200LONGKOSDAQ150 autocorrelation shows the relationship between KODEX 200LONGKOSDAQ150 etf current value and its past values and can show if there is a momentum factor associated with investing in KODEX 200LONGKOSDAQ150SHORT Futures.
Regressed Prices |
| Timeline |
Pair Trading with KODEX 200LONGKOSDAQ150
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 KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150 will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to KODEX 200LONGKOSDAQ150 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150 - 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 KODEX 200LONGKOSDAQ150SHORT Futures to buy it.
The correlation of KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KODEX 200LONGKOSDAQ150 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 KODEX 200LONGKOSDAQ150 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.