Ellington Credit EARN
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Ellington Credit (EARN) Business Model and Operations Summary
Ellington Credit Co is focused on corporate collateralized loan obligations (CLOs). It focuses on acquiring, investing in, and managing secondary CLO mezzanine debt and equity tranches. The company relies on risk management, including disciplined liquidity management and selective use of credit hedges, to preserve book value during times of stress. It also leverages Ellington's proprietary technology, analytics, and risk management systems to enhance underwriting and investment selection and to guide ongoing portfolio monitoring and surveillance.
Key Insights
Ellington Credit (EARN) Core Market Data and Business Metrics
Latest Closing Price
$5.62Market Cap
$215.21 MillionTotal Outstanding Shares
37.56 Million SharesTotal Employees
160IPO Date
May 1, 2013SIC Description
Real Estate Investment TrustsPrimary Exchange
New York Stock ExchangeHeadquarters
53 Forest Avenue, Old Greenwich, CT, 06870
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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