Ishares Msci Hong Etf Market Value

EWH Etf  USD 14.74  0.09  0.61%   
IShares MSCI's market value is the price at which a share of IShares MSCI trades on a public exchange. It measures the collective expectations of iShares MSCI Hong investors about its performance. IShares MSCI is trading at 14.74 as of the 19th of April 2024. This is a 0.61 percent increase since the beginning of the trading day. The etf's open price was 14.65.
With this module, you can estimate the performance of a buy and hold strategy of iShares MSCI Hong and determine expected loss or profit from investing in IShares MSCI over a given investment horizon. Check out IShares MSCI Correlation, IShares MSCI Volatility and IShares MSCI Alpha and Beta module to complement your research on IShares MSCI.
Symbol

The market value of iShares MSCI Hong is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares MSCI's value that differs from its market value or its book value, called intrinsic value, which is IShares MSCI's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IShares MSCI's market value can be influenced by many factors that don't directly affect IShares MSCI's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IShares MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares MSCI's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
10/22/2023
No Change 0.00  0.0 
In 5 months and 30 days
04/19/2024
0.00
If you would invest  0.00  in IShares MSCI on October 22, 2023 and sell it all today you would earn a total of 0.00 from holding iShares MSCI Hong or generate 0.0% return on investment in IShares MSCI over 180 days. IShares MSCI is related to or competes with IShares MSCI, IShares MSCI, IShares MSCI, IShares MSCI, and IShares MSCI. The fund seeks to track the investment results of the index, which is a free float-adjusted market capitalization-weight... 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 Hong upside and downside potential and time the market with a certain degree of confidence.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares MSCI's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
13.4814.7315.98
Details
Intrinsic
Valuation
LowRealHigh
13.7414.9916.24
Details
Naive
Forecast
LowNextHigh
13.0914.3415.59
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.6314.7114.79
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as IShares MSCI. Your research has to be compared to or analyzed against IShares MSCI's peers to derive any actionable benefits. When done correctly, IShares MSCI's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in iShares MSCI Hong.

iShares MSCI Hong Backtested Returns

iShares MSCI Hong holds Efficiency (Sharpe) Ratio of -0.0461, which attests that the entity had a -0.0461% return per unit of risk over the last 3 months. iShares MSCI Hong exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares MSCI's Risk Adjusted Performance of (0.05), market risk adjusted performance of (0.12), and Standard Deviation of 1.31 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.99, which attests to possible diversification benefits within a given portfolio. IShares MSCI returns are very sensitive to returns on the market. As the market goes up or down, IShares MSCI is expected to follow.

Auto-correlation

    
  0.39  

Below average predictability

iShares MSCI Hong has below average predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 22nd of October 2023 to 20th of January 2024 and 20th of January 2024 to 19th of April 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 Hong price movement. The serial correlation of 0.39 indicates that just about 39.0% of current IShares MSCI price fluctuation can be explain by its past prices.
Correlation Coefficient0.39
Spearman Rank Test0.2
Residual Average0.0
Price Variance0.23

iShares MSCI Hong 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 Hong.
   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.
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 Hong 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 Hong 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.
Pair CorrelationCorrelation Matching
When determining whether iShares MSCI Hong offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares MSCI's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ishares Msci Hong Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Msci Hong Etf:
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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.
A focus of IShares MSCI technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IShares MSCI trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...