Korea Closed Fund Market Value
KF Fund | USD 25.37 0.03 0.12% |
Symbol | Korea |
Korea Closed '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 Korea Closed's fund 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 Korea Closed.
01/28/2024 |
| 03/28/2024 |
If you would invest 0.00 in Korea Closed on January 28, 2024 and sell it all today you would earn a total of 0.00 from holding Korea Closed or generate 0.0% return on investment in Korea Closed over 60 days. Korea Closed is related to or competes with Ultrajapan Profund, Semiconductor Ultrasector, Ultrajapan Profund, Semiconductor Ultrasector, Monthly Rebalance, Monthly Rebalance, and Ultra Nasdaq. The Korea Fund, Inc. is a closed-ended equity mutual fund launched and managed by Allianz Global Investors U.S More
Korea Closed 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 Korea Closed's fund 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 Korea Closed upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.23 | |||
Information Ratio | 0.0274 | |||
Maximum Drawdown | 5.12 | |||
Value At Risk | (2.15) | |||
Potential Upside | 1.95 |
Korea Closed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Korea Closed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Korea Closed's standard deviation. In reality, there are many statistical measures that can use Korea Closed historical prices to predict the future Korea Closed's volatility.Risk Adjusted Performance | 0.0816 | |||
Jensen Alpha | 0.1598 | |||
Total Risk Alpha | (0.12) | |||
Sortino Ratio | 0.0272 | |||
Treynor Ratio | (9.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Korea Closed'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.
Korea Closed Backtested Returns
We consider Korea Closed very steady. Korea Closed has Sharpe Ratio of 0.11, which conveys 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 Korea Closed, which you can use to evaluate the volatility of the fund. Please verify Korea Closed's Mean Deviation of 0.9376, risk adjusted performance of 0.0816, and Downside Deviation of 1.23 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. The fund secures a Beta (Market Risk) of -0.0162, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Korea Closed are expected to decrease at a much lower rate. During the bear market, Korea Closed is likely to outperform the market.
Auto-correlation | 0.91 |
Excellent predictability
Korea Closed has excellent predictability. Overlapping area represents the amount of predictability between Korea Closed time series from 28th of January 2024 to 27th of February 2024 and 27th of February 2024 to 28th of March 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 Korea Closed price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current Korea Closed price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.91 | |
Spearman Rank Test | 0.85 | |
Residual Average | 0.0 | |
Price Variance | 0.34 |
Korea Closed lagged returns against current returns
Autocorrelation, which is Korea Closed fund'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 Korea Closed's fund expected returns. We can calculate the autocorrelation of Korea Closed returns to help us make a trade decision. For example, suppose you find that Korea Closed has exhibited high autocorrelation historically, and you observe that the fund 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 |
Korea Closed 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 Korea Closed fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Korea Closed fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Korea Closed fund over time.
Current vs Lagged Prices |
Timeline |
Korea Closed Lagged Returns
When evaluating Korea Closed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Korea Closed fund have on its future price. Korea Closed 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, Korea Closed autocorrelation shows the relationship between Korea Closed fund current value and its past values and can show if there is a momentum factor associated with investing in Korea Closed.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Korea Closed in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Korea Closed's short interest history, or implied volatility extrapolated from Korea Closed options trading.
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Try AI Portfolio ArchitectCheck out Korea Closed Correlation, Korea Closed Volatility and Korea Closed Alpha and Beta module to complement your research on Korea Closed. Note that the Korea Closed information on this page should be used as a complementary analysis to other Korea Closed's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Complementary Tools for Korea Fund analysis
When running Korea Closed's price analysis, check to measure Korea Closed's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Korea Closed is operating at the current time. Most of Korea Closed's value examination focuses on studying past and present price action to predict the probability of Korea Closed's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Korea Closed's price. Additionally, you may evaluate how the addition of Korea Closed to your portfolios can decrease your overall portfolio volatility.
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