Ivy High Income Fund Price on June 20, 2023
| WHIAX Fund | USD 6.12 0.01 0.16% |
Below is the normalized historical share price chart for Ivy High Income extending back to November 22, 2000. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Ivy High stands at 6.12, as last reported on the 30th of November, with the highest price reaching 6.12 and the lowest price hitting 6.12 during the day.
If you're considering investing in Ivy Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Ivy Mutual Fund to be very steady. Ivy High Income 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-eight technical indicators for Ivy High Income, which you can use to evaluate the volatility of the entity. Please check out Ivy High's Downside Deviation of 0.2693, market risk adjusted performance of 0.2515, and Risk Adjusted Performance of 0.0838 to validate if the risk estimate we provide is consistent with the expected return of 0.0291%.
Ivy Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Ivy |
Sharpe Ratio = 0.1138
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | WHIAX |
Estimated Market Risk
| 0.26 actual daily | 2 98% of assets are more volatile |
Expected Return
| 0.03 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.11 actual daily | 8 92% of assets perform better |
Based on monthly moving average Ivy High is performing at about 8% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Ivy High by adding it to a well-diversified portfolio.
Ivy High Valuation on June 20, 2023
It is possible to determine the worth of Ivy High on a given historical date. On June 20, 2023 Ivy was worth 5.34 at the beginning of the trading date compared to the closed value of 5.34. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Ivy High mutual fund. Still, in general, we apply an absolute valuation method to find Ivy High's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Ivy High where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Ivy High's related companies.
| Open | High | Low | Close | Volume | |
| 5.34 | 5.34 | 5.34 | 5.34 | 1.00 | |
06/20/2023 | 5.34 | 5.34 | 5.34 | 5.34 | 1.00 |
| 5.35 | 5.35 | 5.35 | 5.35 | 1.00 |
| Backtest Ivy High | | | Ivy High History | | | Ivy High Valuation | Previous | Next |
Ivy High Trading Date Momentum on June 20, 2023
| On June 21 2023 Ivy High Income was traded for 5.35 at the closing time. The highest daily price throughout the period was 5.35 and the lowest price was 5.35 . There was no trading activity during the period 1.0. Lack of trading volume on 06/21/2023 added to the next day price jump. The trading price change to closing price of the next trading day was 0.19% . The trading delta at closing time to current closing price is 0.75% . |
Ivy High Income Fundamentals Correlations and Trends
By evaluating Ivy High's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Ivy High's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Ivy financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Ivy High Mutual Fund history
Ivy High investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Ivy is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Ivy High Income will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Ivy High stock prices may prove useful in developing a viable investing in Ivy High
The fund invests primarily in a diversified portfolio of high-yield, high-risk, fixed-income securities, including secured and unsecured loan assignments, loan participations and other loan instruments , of U.S. and foreign issuers, the risks of which are, in the judgment of the manager consistent with the funds objective. It may invest up to 100 percent of its total assets in foreign securities that are denominated in U.S. dollars or foreign currencies.
Ivy High Mutual Fund Technical Analysis
Ivy High technical mutual fund 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, fund market cycles, or different charting patterns.
Price Boundaries
Ivy High Period Price Range
Low | November 30, 2024
| High |
0.00 | 0.00 |
Ivy High Income cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Ivy High November 30, 2024 Market Strength
Market strength indicators help investors to evaluate how Ivy High mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ivy High shares will generate the highest return on investment. By undertsting and applying Ivy High mutual fund market strength indicators, traders can identify Ivy High Income entry and exit signals to maximize returns
Ivy High Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Ivy High's price direction in advance. Along with the technical and fundamental analysis of Ivy Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Ivy to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0838 | |||
| Jensen Alpha | 0.012 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | 0.2415 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Other Information on Investing in Ivy Mutual Fund
Ivy High financial ratios help investors to determine whether Ivy Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ivy with respect to the benefits of owning Ivy High security.
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |