Ishares Msci Kokusai Etf Market Value
| TOK Etf | USD 141.57 0.41 0.29% |
| Symbol | IShares |
Investors evaluate iShares MSCI Kokusai using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating IShares MSCI's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause IShares MSCI's market price to deviate significantly 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. Conversely, IShares MSCI's market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in IShares MSCI on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding iShares MSCI Kokusai or generate 0.0% return on investment in IShares MSCI over 90 days. IShares MSCI is related to or competes with IShares Morningstar, Invesco KBW, BlackRock World, Goldman Sachs, Global X, IShares MSCI, and Northern Lights. The fund generally will invest at least 80 percent of its assets in the component securities of the 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 Kokusai upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8225 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.05 |
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 | 0.0698 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0731 |
IShares MSCI February 11, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0698 | |||
| Market Risk Adjusted Performance | 0.0831 | |||
| Mean Deviation | 0.5673 | |||
| Semi Deviation | 0.7068 | |||
| Downside Deviation | 0.8225 | |||
| Coefficient Of Variation | 1135.3 | |||
| Standard Deviation | 0.7472 | |||
| Variance | 0.5584 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0731 | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.05 | |||
| Downside Variance | 0.6765 | |||
| Semi Variance | 0.4996 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.30) | |||
| Kurtosis | 0.4463 |
iShares MSCI Kokusai Backtested Returns
As of now, IShares Etf is very steady. iShares MSCI Kokusai holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares MSCI Kokusai, which you can use to evaluate the volatility of the entity. Please check out IShares MSCI's Downside Deviation of 0.8225, risk adjusted performance of 0.0698, and Market Risk Adjusted Performance of 0.0831 to validate if the risk estimate we provide is consistent with the expected return of 0.0796%. The etf retains a Market Volatility (i.e., Beta) of 0.76, which attests to possible diversification benefits within a given portfolio. 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 | 0.40 |
Average predictability
iShares MSCI Kokusai has average predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th of February 2026. 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 Kokusai price movement. The serial correlation of 0.4 indicates that just about 40.0% of current IShares MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
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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.