Ishares Msci Emerging Etf Market Value
| XEM Etf | CAD 34.57 0.18 0.52% |
| Symbol | IShares |
IShares MSCI '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 IShares MSCI'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 IShares MSCI.
| 09/12/2024 |
| 12/11/2024 |
If you would invest 0.00 in IShares MSCI on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding iShares MSCI Emerging or generate 0.0% return on investment in IShares MSCI over 90 days. IShares MSCI is related to or competes with IShares SPTSX, IShares MSCI, IShares Small, IShares MSCI, and IShares India. The investment seeks to replicate, net of expenses, the MSCI Emerging Markets Index More
IShares MSCI 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 IShares MSCI'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 iShares MSCI Emerging upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | 0.0203 | |||
| Maximum Drawdown | 5.91 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 1.98 |
IShares MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares MSCI's standard deviation. In reality, there are many statistical measures that can use IShares MSCI historical prices to predict the future IShares MSCI's volatility.| Risk Adjusted Performance | 0.1021 | |||
| Jensen Alpha | 0.1125 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0201 | |||
| Treynor Ratio | 0.6585 |
iShares MSCI Emerging Backtested Returns
As of now, IShares Etf is very steady. iShares MSCI Emerging holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares MSCI Emerging, which you can use to evaluate the volatility of the entity. Please check out IShares MSCI's Downside Deviation of 1.08, risk adjusted performance of 0.1021, and Market Risk Adjusted Performance of 0.6685 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The etf retains a Market Volatility (i.e., Beta) of 0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares MSCI is expected to be smaller as well.
Auto-correlation | -0.66 |
Very good reverse predictability
iShares MSCI Emerging has very good reverse predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 12th of September 2024 to 27th of October 2024 and 27th of October 2024 to 11th 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 iShares MSCI Emerging price movement. The serial correlation of -0.66 indicates that around 66.0% of current IShares MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
iShares MSCI Emerging lagged returns against current returns
Autocorrelation, which is IShares MSCI 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 IShares MSCI's etf expected returns. We can calculate the autocorrelation of IShares MSCI returns to help us make a trade decision. For example, suppose you find that IShares MSCI 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 |
IShares MSCI 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 IShares MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
IShares MSCI Lagged Returns
When evaluating IShares MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares MSCI etf have on its future price. IShares MSCI 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, IShares MSCI autocorrelation shows the relationship between IShares MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in iShares MSCI Emerging.
Regressed Prices |
| Timeline |
Pair Trading with IShares MSCI
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 IShares MSCI 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 IShares MSCI will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
| 0.97 | VEE | Vanguard FTSE Emerging | PairCorr |
| 0.82 | ZEM | BMO MSCI Emerging | PairCorr |
| 0.71 | XEC | iShares Core MSCI | PairCorr |
| 0.76 | ZLE | BMO Low Volatility | PairCorr |
Moving against IShares Etf
| 0.49 | TCLB | TD Canadian Long | PairCorr |
| 0.32 | ZAG | BMO Aggregate Bond | PairCorr |
| 0.31 | XBB | iShares Canadian Universe | PairCorr |
The ability to find closely correlated positions to IShares MSCI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares MSCI 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 IShares MSCI - 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 iShares MSCI Emerging to buy it.
The correlation of IShares MSCI 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 IShares MSCI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares MSCI Emerging 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 IShares MSCI 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.Check out IShares MSCI Correlation, IShares MSCI Volatility and IShares MSCI Alpha and Beta module to complement your research on IShares MSCI. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
IShares MSCI technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.