Nmi NMIH
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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
Nmi (NMIH) Business Model and Operations Summary
NMI Holdings Inc through its subsidiaries provides private mortgage guaranty insurance. The company offers mortgage insurance, reinsurance on loans, and outsourced loan review services to mortgage loan originators. It serves national and regional mortgage banks, money center banks, credit unions, community banks, builder-owned mortgage lenders, Internet-sourced lenders, and other non-bank lenders. It protects lenders and investors from default-related losses on a portion of the unpaid principal balance of a covered mortgage.
Key Insights
Nmi (NMIH) Core Market Data and Business Metrics
Latest Closing Price
$39.72Market Cap
$3.06 BillionTotal Outstanding Shares
78.12 Million SharesTotal Employees
230IPO Date
November 8, 2013SIC Description
Surety InsurancePrimary Exchange
NASDAQHeadquarters
2100 Powell Street, 12th Floor, Emeryville, CA, 94608
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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