# Euronet Worldwide, Inc. (EEFT)

euronet worldwide (nasdaq:eeft) is a global leader in processing secure electronic financial and payment transactions. our service segments include financial institutions, mobile operators, merchants, and money transfer sending and receiving agents. we operate one of the largest independent atm networks in europe and the largest shared atm network in india. our proprietary software offers comprehensive software solutions to leading financial institutions around the world. we are the world's largest processor of prepaid mobile airtime and we are the third-largest global money transfer company. our global focus is supported by extensive in-country operations across the united states, europe, middle east and asia-pacific. so whether you are transacting around the corner or around the globe, we are committed to extending the convenience and simplicity of our electronic payment solutions to our customers in emerging and developed markets.

## Stock Price Trends

Stock price trends estimated using linear regression.

#### Key facts

- The primary trend is decreasing.
- The decline rate of the primary trend is 24.45% per annum.
- EEFT price at the close of December 8, 2023 was $90.82 and was higher than the top border of the primary price channel by $7.74 (9.32%). This indicates a possible reversal in the primary trend direction.
- The secondary trend is increasing.
- The growth rate of the secondary trend is 345.20% per annum.
- EEFT price at the close of December 8, 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:

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 EEFT 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: December 15, 2020

End date: January 6, 2023

a = 5.6334

b = -0.0008

s = 0.0936

Annual growth rate:

Exp(365 × b) – 1

= Exp(365 × -0.0008) – 1

= -24.45%

Price channel spread:

Exp(4 × s) – 1

= Exp(4 × 0.0936) – 1

= 45.44%

#### December 15, 2020 calculations

Top border of price channel:

Exp(Y_{508})

= Exp(a + b × X_{508} + 2 × s)

= Exp(a + b × 736 + 2 × s)

= Exp(5.6334 + -0.0008 × 736 + 2 × 0.0936)

= Exp(5.2554)

= $191.60

Bottom border of price channel:

Exp(Y_{508})

= Exp(a + b × X_{508} – 2 × s)

= Exp(a + b × 736 – 2 × s)

= Exp(5.6334 + -0.0008 × 736 – 2 × 0.0936)

= Exp(4.8809)

= $131.74

#### January 6, 2023 calculations

Top border of price channel:

Exp(Y_{1,026})

= Exp(a + b × X_{1,026} + 2 × s)

= Exp(a + b × 1,488 + 2 × s)

= Exp(5.6334 + -0.0008 × 1,488 + 2 × 0.0936)

= Exp(4.6779)

= $107.54

Bottom border of price channel:

Exp(Y_{1,026})

= Exp(a + b × X_{1,026} – 2 × s)

= Exp(a + b × 1,488 – 2 × s)

= Exp(5.6334 + -0.0008 × 1,488 – 2 × 0.0936)

= Exp(4.3033)

= $73.94

### Secondary Trend

Start date: October 27, 2023

End date: December 8, 2023

a = -2.9492

b = 0.0041

s = 0.0152

Annual growth rate:

Exp(365 × b) – 1

= Exp(365 × 0.0041) – 1

= 345.20%

Price channel spread:

Exp(4 × s) – 1

= Exp(4 × 0.0152) – 1

= 6.26%

#### October 27, 2023 calculations

Top border of price channel:

Exp(Y_{1,229})

= Exp(a + b × X_{1,229} + 2 × s)

= Exp(a + b × 1,782 + 2 × s)

= Exp(-2.9492 + 0.0041 × 1,782 + 2 × 0.0152)

= Exp(4.3720)

= $79.20

Bottom border of price channel:

Exp(Y_{1,229})

= Exp(a + b × X_{1,229} – 2 × s)

= Exp(a + b × 1,782 – 2 × s)

= Exp(-2.9492 + 0.0041 × 1,782 – 2 × 0.0152)

= Exp(4.3114)

= $74.54

#### December 8, 2023 calculations

Top border of price channel:

Exp(Y_{1,258})

= Exp(a + b × X_{1,258} + 2 × s)

= Exp(a + b × 1,824 + 2 × s)

= Exp(-2.9492 + 0.0041 × 1,824 + 2 × 0.0152)

= Exp(4.5439)

= $94.05

Bottom border of price channel:

Exp(Y_{1,258})

= Exp(a + b × X_{1,258} – 2 × s)

= Exp(a + b × 1,824 – 2 × s)

= Exp(-2.9492 + 0.0041 × 1,824 – 2 × 0.0152)

= Exp(4.4832)

= $88.52