SOL KTB (Korea) Market Value
| 438560 Etf | 101,885 55.00 0.05% |
| Symbol | SOL |
SOL KTB '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 SOL KTB'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 SOL KTB.
| 01/03/2025 |
| 02/02/2025 |
If you would invest 0.00 in SOL KTB on January 3, 2025 and sell it all today you would earn a total of 0.00 from holding SOL KTB 3Y or generate 0.0% return on investment in SOL KTB over 30 days.
SOL KTB 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 SOL KTB'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 SOL KTB 3Y upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1565 | |||
| Information Ratio | (0.35) | |||
| Maximum Drawdown | 0.6819 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.245 |
SOL KTB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SOL KTB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SOL KTB's standard deviation. In reality, there are many statistical measures that can use SOL KTB historical prices to predict the future SOL KTB's volatility.| Risk Adjusted Performance | 0.0952 | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | 0.003 | |||
| Sortino Ratio | (0.34) | |||
| Treynor Ratio | (1.89) |
SOL KTB 3Y Backtested Returns
At this point, SOL KTB is very steady. SOL KTB 3Y owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the etf had a 0.17 % return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SOL KTB 3Y, which you can use to evaluate the volatility of the etf. Please validate SOL KTB's standard deviation of 0.1529, and Risk Adjusted Performance of 0.0952 to confirm if the risk estimate we provide is consistent with the expected return of 0.026%. The entity has a beta of -0.0082, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SOL KTB are expected to decrease at a much lower rate. During the bear market, SOL KTB is likely to outperform the market.
Auto-correlation | -0.43 |
Modest reverse predictability
SOL KTB 3Y has modest reverse predictability. Overlapping area represents the amount of predictability between SOL KTB time series from 3rd of January 2025 to 18th of January 2025 and 18th of January 2025 to 2nd 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 SOL KTB 3Y price movement. The serial correlation of -0.43 indicates that just about 43.0% of current SOL KTB price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 2678.57 |
SOL KTB 3Y lagged returns against current returns
Autocorrelation, which is SOL KTB 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 SOL KTB's etf expected returns. We can calculate the autocorrelation of SOL KTB returns to help us make a trade decision. For example, suppose you find that SOL KTB 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 |
SOL KTB 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 SOL KTB etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SOL KTB etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SOL KTB etf over time.
Current vs Lagged Prices |
| Timeline |
SOL KTB Lagged Returns
When evaluating SOL KTB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SOL KTB etf have on its future price. SOL KTB 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, SOL KTB autocorrelation shows the relationship between SOL KTB etf current value and its past values and can show if there is a momentum factor associated with investing in SOL KTB 3Y.
Regressed Prices |
| Timeline |
Pair Trading with SOL KTB
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 SOL KTB 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 SOL KTB will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to SOL KTB could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SOL KTB 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 SOL KTB - 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 SOL KTB 3Y to buy it.
The correlation of SOL KTB 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 SOL KTB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SOL KTB 3Y 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 SOL KTB 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.