Joinpoint Regression Analysis and an Application on Istanbul Stock-Exchange
Journal Title: Alphanumeric Journal - Year 2014, Vol 2, Issue 1
Abstract
Joinpoint Regression Analysis is one of the statistical methods used to identify the best-fitting points if there is a statistically significant change in the trend. The aim of this study is to apply joinpoint regression analysis in the stock market and compare the performance of this method according to actual data set and estimated values. For this purpose, we collected the data set from the National Istanbul Stock Exchange (ISE) 30 index for April-May 2013 and examined that data set via Joinpoint Regression Analysis. We applied linear and nonlinear techniques with the help of Joinpoint software and determined the best technique according to their Mean Square Errors (MSE). With the projection for the future months and the actual results, we see that the estimated values are a little higher than the actual values However, this shows that we may apply Joinpoint regression to a time series data set in order to forecast future values.
Authors and Affiliations
Huriye Telli, Sinan Saraçlı
Keywords
Related Articles
- EP ID EP195558
- DOI 10.17093/aj.56252
- Views 156
- Downloads 0
First and Second Order Confirmatory Factor Models With Service And Product Quality Perceptions of Supermarket Customers: An Empirical Investigation
There are various models proposed for conceptualization and measurement of customers’ perceptions of service quality in the marketing literature. This study presents an empirical evaluation of customers’ perceptions of s...
Optimization Of A Vehicle Routing Problem In A Logistics Company In Turkey
In this study, vehicle routing problem of a logistics firm has been considered. In content of the study, vehicle rotation procedure is applied that is about optimization of distribution operations which creates big part...
Joinpoint Regression Analysis and an Application on Istanbul Stock-Exchange
Joinpoint Regression Analysis is one of the statistical methods used to identify the best-fitting points if there is a statistically significant change in the trend. The aim of this study is to apply joinpoint regression...
The Investigation Of The Factors Affecting On The Prices Of Real Estates In Samsun Via Hedonic Price Model
The most important needs of people has been sheltering and feeding since the early ages. Today it has been made to different perspectives based on a budget satisfy the feeling of pleasure from these requirements. Beside...
A Comparison Of Artificial Neural Networks And Multiple Linear Regression Models As Predictors Of Discard Rates In Plastic Injection Molding
In today’s global competitive environment, it is important to be able to evaluate the efficient use of a firms’ resources. The aim of this study is to predict the discard rate for headlight frames before the project of a...