Publications by Nathan Foale
Retail Turnover Forecasting
Forecast retail trade volume in Queensland, specifically within the hardware, building, and garden supplies retailing sector utilising ETS (Error, Trend, Seasonality) and ARIMA (Auto-Regressive, Integrated, Moving Average) models. The data is sourced from the Australian Bureau of Statistics (ABS), which offers monthly and quarterly estimates of tur...
17506 sym Python (2256 sym/12 pcs) 11 img
Retail Project
Objective Forecast retail trade volume in Queensland, specifically within the hardware, building, and garden supplies retailing sector utilising ETS (Error, Trend, Seasonality) and ARIMA (Auto-Regressive, Integrated, Moving Average) models. The data is sourced from the Australian Bureau of Statistics (ABS), which offers monthly and quarterly estima...
8969 sym Python (3122 sym/19 pcs) 11 img
Financial Time Series Analysis of Industry Portfolios
Required Packages library(ggplot2) library(lmtest) ## Loading required package: zoo ## ## Attaching package: 'zoo' ## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric library(sandwich) library(xts) library(tseries) ## Registered S3 method overwritten by 'quantmod': ## method from ## as.zoo.da...
29008 sym R (19510 sym/40 pcs) 2 img 2 tbl
Econometrics_Loan_Data
library(haven) library(ggplot2) This paper will be looking to test for discrimination on the basis of race in the mortgage loan market. The binary variable to be explained is approve, which is equal to 1 if a mortgage loan to an individual was approved. The key explanatory variable is nonwhite, a dummy variable equal to 1 if the applicant was black...
11259 sym R (13697 sym/37 pcs)
Time Series Analysis
This paper will involve a comprehensive analysis of retail turnover data with the aim of preparing it for forecasting future trends.The primary objective of this analysis is to gain insights into the underlying patterns and structure of the data, identify any seasonal or trend components, and to apply appropriate pre-processing techniques to improv...
8804 sym R (2545 sym/13 pcs) 8 img
ETC3410 Tute 4
library(haven) Let grad be a dummy variable for whether a student-athlete at a large university graduates in five years. Let hsGPA and SAT be high school grade point average and SAT score, respectively. Let study be the number of hours spent per week in an organized study hall. Suppose that, using data on 520 student-athletes, the following probit ...
9328 sym R (14698 sym/45 pcs)