Loomis Sayles Small Fund Price on May 16, 2023
| LSVAX Fund | USD 21.33 0.24 1.11% |
If you're considering investing in Loomis Mutual Fund, it is important to understand the factors that can impact its price. As of today, the current price of Loomis Sayles stands at 21.33, as last reported on the 27th of December, with the highest price reaching 21.33 and the lowest price hitting 21.33 during the day. At this stage we consider Loomis Mutual Fund to be very steady. Loomis Sayles Small has Sharpe Ratio of 0.0217, which conveys that the entity had a 0.0217% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Loomis Sayles, which you can use to evaluate the volatility of the fund. Please verify Loomis Sayles' Mean Deviation of 0.7787, risk adjusted performance of 0.0183, and Downside Deviation of 0.9766 to check out if the risk estimate we provide is consistent with the expected return of 0.0265%.
Loomis Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Loomis |
Sharpe Ratio = 0.0217
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | LSVAX |
Estimated Market Risk
| 1.22 actual daily | 10 90% of assets are more volatile |
Expected Return
| 0.03 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.02 actual daily | 1 99% of assets perform better |
Based on monthly moving average Loomis Sayles is performing at about 1% 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 Loomis Sayles by adding it to a well-diversified portfolio.
Loomis Sayles Valuation on May 16, 2023
It is possible to determine the worth of Loomis Sayles on a given historical date. On May 16, 2023 Loomis was worth 19.9 at the beginning of the trading date compared to the closed value of 19.9. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Loomis Sayles mutual fund. Still, in general, we apply an absolute valuation method to find Loomis Sayles' 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 Loomis Sayles where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Loomis Sayles' related companies.
| Open | High | Low | Close | Volume | |
| 20.11 | 20.11 | 20.11 | 20.11 | 1.00 | |
05/16/2023 | 19.90 | 19.90 | 19.90 | 19.90 | 1.00 |
| 20.28 | 20.28 | 20.28 | 20.28 | 1.00 |
| Backtest Loomis Sayles | | | Loomis Sayles History | | | Loomis Sayles Valuation | Previous | Next |
Loomis Sayles Trading Date Momentum on May 16, 2023
| On May 17 2023 Loomis Sayles Small was traded for 20.28 at the closing time. The highest daily price throughout the period was 20.28 and the lowest price was 20.28 . There was no trading activity during the period 1.0. Lack of trading volume on 05/17/2023 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 1.91% . The trading delta at closing time to current closing price is 2.71% . |
Loomis Sayles Small Fundamentals Correlations and Trends
By evaluating Loomis Sayles' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Loomis Sayles' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Loomis financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Loomis Sayles Mutual Fund history
Loomis Sayles 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 Loomis is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Loomis Sayles Small 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 Loomis Sayles stock prices may prove useful in developing a viable investing in Loomis Sayles
The fund normally will invest at least 80 percent of its net assets in the equity securities of small-cap companies, including preferred stocks, warrants, securities convertible into common or preferred stocks and other equity-like interests in an entity. Currently, the manager defines a small-cap company to be one whose market capitalization falls within the capitalization range of the Russell 2000 Index, an index that tracks stocks of 2,000 of the smallest U.S. companies.
Loomis Sayles Mutual Fund Technical Analysis
Loomis Sayles 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
Loomis Sayles Period Price Range
Low | December 27, 2024
| High |
0.00 | 0.00 |
Loomis Sayles Small 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.
Loomis Sayles December 27, 2024 Market Strength
Market strength indicators help investors to evaluate how Loomis Sayles 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 Loomis Sayles shares will generate the highest return on investment. By undertsting and applying Loomis Sayles mutual fund market strength indicators, traders can identify Loomis Sayles Small entry and exit signals to maximize returns
Loomis Sayles Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Loomis Sayles' price direction in advance. Along with the technical and fundamental analysis of Loomis Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Loomis 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 | 0.0183 | |||
| Jensen Alpha | 4.0E-4 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0449 |
| 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 Loomis Mutual Fund
Loomis Sayles financial ratios help investors to determine whether Loomis 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 Loomis with respect to the benefits of owning Loomis Sayles security.
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume |