# Radian Group Inc. (RDN)

about radian group inc. radian group inc. (nyse: rdn), headquartered in philadelphia, provides private mortgage insurance (mi) and related risk management products and services to mortgage lenders nationwide through its principal operating subsidiary, radian guaranty inc. these services help promote and preserve homeownership opportunities for homebuyers, while protecting lenders from default related losses on residential first mortgages and facilitating the sale of low-downpayment mortgages in the secondary market. connect with us! watch our videos on youtube at www.youtube.com/user/radiangroupinc. visit our facebook page at www.facebook.com/radianguaranty. follow our job postings and career information at www.radian.biz/page?name=careers. join our linkedin group: radian careers at www.linkedin.com/groups?mostpopular=&gid=2951815.

## Stock Price Trends

Stock price trends estimated using linear regression.

## Paying users area

#### Try for free

Stock pages available for free today:

The data is hidden behind and trends are not shown in the charts.
Unhide data and trends.

Get full access to the entire website.

This is a one-time payment. There is no automatic renewal.

#### Key facts

• The primary trend is increasing.
• The growth rate of the primary trend is 36.80% per annum.
• RDN price at the close of February 16, 2024 was \$27.76 and was inside the primary price channel.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 14.98% per annum.
• RDN price at the close of February 16, 2024 was inside the secondary price channel.

### Linear Regression Model

Model equation:
Yi = α + β × Xi + εi

Top border of price channel:
Exp(Yi) = Exp(a + b × Xi + 2 × s)

Bottom border of price channel:
Exp(Yi) = Exp(a + b × Xi – 2 × s)

where:

i - observation number
Yi - natural logarithm of RDN price
Xi - time index, 1 day interval
σ - standard deviation of εi
a - estimator of α
b - estimator of β
s - estimator of σ
Exp() - calculates the exponent of e

### Primary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### September 22, 2022 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= \$

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= \$

#### February 16, 2024 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= \$

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= \$

#### Description

• The primary trend is increasing.
• The growth rate of the primary trend is 36.80% per annum.
• RDN price at the close of February 16, 2024 was \$27.76 and was inside the primary price channel.

### Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### May 5, 2023 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= \$

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= \$

#### February 16, 2024 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= \$

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= \$

#### Description

• The secondary trend is increasing.
• The growth rate of the secondary trend is 14.98% per annum.
• RDN price at the close of February 16, 2024 was inside the secondary price channel.