| PACEX Fund | | | USD 9.42 0.01 0.11% |
T Rowe is trading at
9.42 as of the 18th of February 2026; that is
0.11 percent up since the beginning of the trading day. The fund's open price was
9.41. T Rowe has less than a
16 % chance of experiencing some
financial distress in the next two years of operation and had a
solid performance during the last 90 days. The
performance scores are derived for the period starting the
20th of November 2025 and ending today, the
18th of February 2026. Click
here to learn more.
The fund will normally invest at least 80 percent of its net assets in bonds that are issued by companies that are located or listed in, or conduct the predominant part of their business activities in, the emerging market countries of Latin America, Asia, Europe, Africa, and the Middle East.
More on T Rowe PricePACEX Mutual Fund Highlights
| Update Date | 31st of December 2025 |
T Rowe Price [PACEX] is traded in USA and was established 18th of February 2026. T Rowe is listed under T. Rowe Price category by Fama And French industry classification. The fund is listed under Emerging Markets Bond category and is part of
T. Rowe Price family. The entity is thematically classified as
Corporate Bonds Funds. This fund at this time has accumulated 245.76
M in
assets with minimum initial investment of 2.5
K. T Rowe Price is currently producing year-to-date (YTD) return of 0.92% with the current yeild of 0.06%, while the total return for the last 3 years was 6.95%.
Check T Rowe Probability Of Bankruptcy
T Rowe Price Risk Profiles
T Rowe Against Markets
PACEX Mutual Fund Analysis Notes
The fund maintains about 9.65% of assets in cash. T Rowe Price last dividend was 0.03 per share. Large To find out more about T Rowe Price contact the company at 800-638-5660.
T Rowe Price Investment Alerts
T Rowe Thematic Classifications
In addition to having T Rowe mutual fund in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
T Rowe Outstanding Bonds
T Rowe 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. T Rowe Price 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 PACEX bonds can be classified according to their maturity, which is the date when T Rowe Price 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.
T Rowe Predictive Daily Indicators
T Rowe 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 T Rowe 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.
T Rowe Forecast Models
T Rowe's time-series forecasting models are one of many T Rowe'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 T Rowe'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.
