# First American Financial Corporation (FAF)

first american title insurance company provides comprehensive title insurance protection and professional settlement services for homebuyers and sellers, real estate agents and brokers, mortgage lenders, commercial property professionals, homebuilders and developers, title agencies and legal professionals to facilitate real estate purchases, construction, refinances or equity loans. first american's thorough title searches, title clearance and title insurance policies help to produce clear property titles and enable the efficient transfer of real estate. as one of the largest title insurance companies in the nation, first american offers title insurance and settlement services through its direct operations and an extensive network of agents throughout the united states and internationally. first american title insurance company traces its history to 1889 and is the largest subsidiary of first american financial corporation (nyse: faf).

## Stock Price Trends

Stock price trends estimated using linear regression.

## Paying users area

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Unhide data and trends.

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 36.99% per annum.
• FAF price at the close of November 28, 2023 was \$58.65 and was lower than the bottom border of the primary price channel by \$72.91 (55.42%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is decreasing.
• The decline rate of the secondary trend is 9.93% per annum.
• FAF price at the close of November 28, 2023 was inside the secondary price channel.
• The direction of the secondary trend is opposite to the direction of the primary trend. This indicates a possible reversal in the direction of the primary trend.

### 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 FAF 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
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### April 22, 2021 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()
= \$

#### January 19, 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()
= \$

### Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### April 22, 2021 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()
= \$

#### November 28, 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()
= \$