# CareTrust REIT, Inc. (CTRE)

caretrust reit, inc. is a publicly-traded real estate investment company engaged in the acquisition, ownership and leasing of seniors housing and healthcare-related properties. with 100 net-leased healthcare properties and three operated seniors housing properties in ten states, caretrust is acquiring and financing additional properties nationwide which will be operated by a diverse group of outstanding local, regional and national seniors housing operators, healthcare services providers, and other healthcare-related businesses. in 2014 caretrust was spun out of the ensign group, one of the country's premier post-acute care and seniors housing providers. founded in 1999 by a small group of leaders dedicated to changing the post-acute care industry "one facility at a time," ensign has written an impressive growth story during a period of change, headwinds, and uncertainty. caretrust carries this excellence-focused, operator-centric mentality in its dna, and seeks now to partner with ot

## Stock Price Trends

Stock price trends estimated using linear regression.

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#### Key facts

- The primary trend is increasing.
- The growth rate of the primary trend is 15.88% per annum.
- CTRE price at the close of March 1, 2024 was $22.80 and was inside the primary price channel.
- The secondary trend is increasing.
- The growth rate of the secondary trend is 21.76% per annum.
- CTRE price at the close of March 1, 2024 was inside the secondary price channel.

### Linear Regression Model

Model equation:

Y_{i} = α + β × X_{i} + ε_{i}

Top border of price channel:

Exp(Y_{i}) = Exp(a + b × X_{i} + 2 × s)

Bottom border of price channel:

Exp(Y_{i}) = Exp(a + b × X_{i} – 2 × s)

where:

i - observation number

Y_{i} - natural logarithm of CTRE price

X_{i} - time index, 1 day interval

σ - standard deviation of ε_{i}

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 23, 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()

= $

#### March 1, 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 15.88% per annum.
- CTRE price at the close of March 1, 2024 was $22.80 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

=

#### March 10, 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()

= $

#### March 1, 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 21.76% per annum.
- CTRE price at the close of March 1, 2024 was inside the secondary price channel.