| CGJIX Fund | | | USD 75.83 0.57 0.75% |
Calvert Large is trading at
75.83 as of the 30th of January 2026; that is
0.75 percent decrease since the beginning of the trading day. The fund's open price was
76.4. Calvert Large has about a
23 % chance of experiencing some form of
financial distress in the next two years of operation but has generated negative returns over the last 90 days. The
performance scores are derived for the period starting the
1st of November 2025 and ending today, the
30th of January 2026. Click
here to learn more.
The manager employs a passive management strategy designed to track, as closely as possible, the performance of the index. Calvert US is traded on NASDAQ Exchange in the United States.
More on Calvert Large CapCalvert Mutual Fund Highlights
| Update Date | 31st of December 2025 |
| Expense Ratio Date | 1st of February 2025 |
| Fiscal Year End | September |
Calvert Large Top Holders
Calvert Large Cap Risk Profiles
Calvert Large Against Markets
Calvert Mutual Fund Analysis Notes
The fund generated five year return of 12.0%. Calvert Large Cap holds 99.33% of assets under management (AUM) in equities. This fund last dividend was 0.22 per share. Large Growth For more info on Calvert Large Cap please contact the company at 800-368-2745.
Calvert Large Cap Investment Alerts
Top Calvert Large Cap Mutual Fund Constituents
Institutional Mutual Fund Holders for Calvert Large
Have you ever been surprised when a price of an equity instrument such as Calvert Large is soaring high
without any particular reason? This is usually happening because many institutional investors are aggressively trading Calvert Large Cap backward and forwards among themselves. Calvert Large's institutional investor refers to the entity that pools money to purchase Calvert Large's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
Note, although Calvert Large's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.
Calvert Large Outstanding Bonds
Calvert Large issues bonds to
finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Calvert Large Cap uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Calvert bonds can be classified according to their maturity, which is the date when Calvert Large Cap has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
Calvert Large Predictive Daily Indicators
Calvert Large intraday indicators are useful
technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Calvert Large mutual fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Calvert Large Forecast Models
Calvert Large's time-series forecasting models are one of many Calvert Large's mutual fund analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Calvert Large's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.