Ishares Msci Singapore Etf Market Value

EWS Etf  USD 23.04  0.08  0.35%   
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 Singapore investors about its performance. IShares MSCI is selling for under 23.04 as of the 12th of December 2024; that is 0.35 percent increase since the beginning of the trading day. The etf's lowest day price was 22.95.
With this module, you can estimate the performance of a buy and hold strategy of iShares MSCI Singapore 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 Singapore 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
12/18/2023
No Change 0.00  0.0 
In 11 months and 26 days
12/12/2024
0.00
If you would invest  0.00  in IShares MSCI on December 18, 2023 and sell it all today you would earn a total of 0.00 from holding iShares MSCI Singapore or generate 0.0% return on investment in IShares MSCI over 360 days. IShares MSCI is related to or competes with IShares MSCI, IShares MSCI, and IShares MSCI. The fund generally will invest at least 80 percent of its assets in the component securities of its underlying index and... 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 Singapore 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
22.2423.0423.84
Details
Intrinsic
Valuation
LowRealHigh
22.0622.8623.66
Details
Naive
Forecast
LowNextHigh
22.1422.9423.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.4122.8523.28
Details

iShares MSCI Singapore Backtested Returns

Currently, iShares MSCI Singapore is very steady. iShares MSCI Singapore holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares MSCI Singapore, which you can use to evaluate the volatility of the entity. Please check out IShares MSCI's Market Risk Adjusted Performance of 0.7683, downside deviation of 0.7093, and Risk Adjusted Performance of 0.1267 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The etf retains a Market Volatility (i.e., Beta) of 0.17, 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

    
  0.78  

Good predictability

iShares MSCI Singapore has good predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 18th of December 2023 to 15th of June 2024 and 15th of June 2024 to 12th 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 Singapore price movement. The serial correlation of 0.78 indicates that around 78.0% of current IShares MSCI price fluctuation can be explain by its past prices.
Correlation Coefficient0.78
Spearman Rank Test0.74
Residual Average0.0
Price Variance1.74

iShares MSCI Singapore 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 Singapore.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
When determining whether iShares MSCI Singapore is a strong investment it is important to analyze IShares MSCI's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact IShares MSCI's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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...