Genworth Financial GNW
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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
Genworth Financial (GNW) Business Model and Operations Summary
Genworth Financial Inc is a diversified insurance holding company that provides various mortgage and life insurance products. The company has three main operating business segments: Enact, Life and Annuities segment and Long-Term Care Insurance. The company's product portfolio includes various financial products such as traditional life insurance, mortgage insurance, fixed annuities, and variable annuities. Majority of the revenue is generated by the Enact segment. The company earns maximum of its revenue in the United States.
Key Insights
Genworth Financial (GNW) Core Market Data and Business Metrics
Latest Closing Price
$7.05Market Cap
$2.89 BillionTotal Outstanding Shares
414.46 Million SharesTotal Employees
2,960IPO Date
May 25, 2004SIC Description
Life InsurancePrimary Exchange
New York Stock ExchangeHeadquarters
11011 West Broad Street, Glen Allen, VA, 23060
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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