SOL IHS (Korea) Market Value
| 400590 Etf | 11,835 85.00 0.71% |
| Symbol | SOL |
SOL IHS '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 IHS'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 IHS.
| 12/23/2024 |
| 01/22/2025 |
If you would invest 0.00 in SOL IHS on December 23, 2024 and sell it all today you would earn a total of 0.00 from holding SOL IHS Markit or generate 0.0% return on investment in SOL IHS over 30 days.
SOL IHS 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 IHS'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 IHS Markit upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.22 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 5.48 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 2.04 |
SOL IHS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SOL IHS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SOL IHS's standard deviation. In reality, there are many statistical measures that can use SOL IHS historical prices to predict the future SOL IHS's volatility.| Risk Adjusted Performance | 0.0142 | |||
| Jensen Alpha | 0.0038 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0659 |
SOL IHS Markit Backtested Returns
At this point, SOL IHS is very steady. SOL IHS Markit owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0128, which indicates the etf had a 0.0128 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SOL IHS Markit, which you can use to evaluate the volatility of the etf. Please validate SOL IHS's coefficient of variation of 7812.77, and Risk Adjusted Performance of 0.0142 to confirm if the risk estimate we provide is consistent with the expected return of 0.0163%. The entity has a beta of 0.0953, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SOL IHS's returns are expected to increase less than the market. However, during the bear market, the loss of holding SOL IHS is expected to be smaller as well.
Auto-correlation | -0.28 |
Weak reverse predictability
SOL IHS Markit has weak reverse predictability. Overlapping area represents the amount of predictability between SOL IHS time series from 23rd of December 2024 to 7th of January 2025 and 7th of January 2025 to 22nd of January 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 IHS Markit price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current SOL IHS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 14.2 K |
SOL IHS Markit lagged returns against current returns
Autocorrelation, which is SOL IHS 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 IHS's etf expected returns. We can calculate the autocorrelation of SOL IHS returns to help us make a trade decision. For example, suppose you find that SOL IHS 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 IHS 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 IHS etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SOL IHS etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SOL IHS etf over time.
Current vs Lagged Prices |
| Timeline |
SOL IHS Lagged Returns
When evaluating SOL IHS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SOL IHS etf have on its future price. SOL IHS 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 IHS autocorrelation shows the relationship between SOL IHS etf current value and its past values and can show if there is a momentum factor associated with investing in SOL IHS Markit.
Regressed Prices |
| Timeline |
Pair Trading with SOL IHS
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 IHS 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 IHS will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to SOL IHS 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 IHS 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 IHS - 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 IHS Markit to buy it.
The correlation of SOL IHS 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 IHS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SOL IHS Markit 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 IHS 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.