Ivy Natural Resources Fund Price on April 27, 2023
INRSX Fund | USD 15.45 0.17 1.11% |
Below is the normalized historical share price chart for Ivy Natural Resources extending back to July 31, 2014. 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 Natural stands at 15.45, as last reported on the 23rd of December, with the highest price reaching 15.45 and the lowest price hitting 15.45 during the day.
If you're considering investing in Ivy Mutual Fund, it is important to understand the factors that can impact its price. Ivy Natural Resources holds Efficiency (Sharpe) Ratio of -0.17, which attests that the entity had a -0.17% return per unit of risk over the last 3 months. Ivy Natural Resources exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Ivy Natural's Risk Adjusted Performance of (0.11), market risk adjusted performance of (0.27), and Standard Deviation of 1.23 to validate the risk estimate we provide.
Ivy Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Ivy |
Sharpe Ratio = -0.1721
Best Portfolio | Best Equity | |||
Good Returns | ||||
Average Returns | ||||
Small Returns | ||||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns | INRSX |
Estimated Market Risk
1.21 actual daily | 10 90% of assets are more volatile |
Expected Return
-0.21 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.17 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Ivy Natural is not performing at its full potential. However, 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 Natural by adding Ivy Natural to a well-diversified portfolio.
Ivy Natural Valuation on April 27, 2023
It is possible to determine the worth of Ivy Natural on a given historical date. On April 27, 2023 Ivy was worth 15.93 at the beginning of the trading date compared to the closed value of 15.93. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Ivy Natural mutual fund. Still, in general, we apply an absolute valuation method to find Ivy Natural'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 Natural where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Ivy Natural's related companies.
Open | High | Low | Close | Volume | |
15.78 | 15.78 | 15.78 | 15.78 | 1.00 | |
04/27/2023 | 15.93 | 15.93 | 15.93 | 15.93 | 1.00 |
16.14 | 16.14 | 16.14 | 16.14 | 1.00 |
Backtest Ivy Natural | | | Ivy Natural History | | | Ivy Natural Valuation | Previous | Next |
Ivy Natural Trading Date Momentum on April 27, 2023
On April 28 2023 Ivy Natural Resources was traded for 16.14 at the closing time. The highest daily price throughout the period was 16.14 and the lowest price was 16.14 . There was no trading activity during the period 1.0. Lack of trading volume on 04/28/2023 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 1.32% . The trading delta at closing time to current closing price is 0.56% . |
Ivy Natural Resources Fundamentals Correlations and Trends
By evaluating Ivy Natural'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 Natural'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 Natural Mutual Fund history
Ivy Natural 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 Natural Resources 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 Natural stock prices may prove useful in developing a viable investing in Ivy Natural
The fund seeks to achieve its objective by investing, under normal circumstances, at least 80 percent of its net assets in equity securities of companies with operations throughout the world that own, explore or develop natural resources and other basic commodities or supply goods and services to such companies. Under normal circumstances, the manager anticipates that a significant portion of the funds portfolio will consist of issuers in the energy and materials sectors.
Ivy Natural Mutual Fund Technical Analysis
Ivy Natural 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 Natural Period Price Range
Low | December 23, 2024
| High |
0.00 | 0.00 |
Ivy Natural Resources 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 Natural December 23, 2024 Market Strength
Market strength indicators help investors to evaluate how Ivy Natural 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 Natural shares will generate the highest return on investment. By undertsting and applying Ivy Natural mutual fund market strength indicators, traders can identify Ivy Natural Resources entry and exit signals to maximize returns
Ivy Natural Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Ivy Natural'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 | (0.11) | |||
Jensen Alpha | (0.20) | |||
Total Risk Alpha | (0.22) | |||
Treynor Ratio | (0.28) |
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 Natural 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 Natural security.
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |