Data Driven Perspective on Stock Price - Macroeconomic Variables: Indonesia Economy 2016-2020

Abstract The use of a theory-driven perspective is very common, especially in economics research, and even becomes an inevitable approach. Problems arise when data, as a form of reality, does not synergize with theory. The resulting conclusion is very likely to be different from the theoretical stat...

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Bibliographic Details
Main Authors: Agung Nusantara, Sri Nawatmi, Agus Budi Santosa
Format: Article
Language:Indonesian
Published: Universitas 17 Agustus 1945 (UNTAG) Semarang 2022-07-01
Series:Media Ekonomi dan Manajemen
Subjects:
Online Access:http://jurnal.untagsmg.ac.id/index.php/fe/article/view/2818
Description
Summary:Abstract The use of a theory-driven perspective is very common, especially in economics research, and even becomes an inevitable approach. Problems arise when data, as a form of reality, does not synergize with theory. The resulting conclusion is very likely to be different from the theoretical statement. One method that refers to data-driven is the Vector Auto-Regressive (VAR) model, which puts all the variables involved in a position as endogenous variables. This study seeks to identify a statistically more accurate relationship in the relationship between variables, stock prices, consumer price index, Jakarta Inter-Bank Over rate, exchange rate, and Net Balance Trade. Observations were made from January 2016 to December 2020. This study found evidence that there is a recursive relationship between stock price variables and macroeconomic variables. The VAR model identifies the Net Balance Trade variable as an endogenous variable in 3 types of sectoral stocks and only manufacturing sector stocks that resemble it. These results have two theoretical consequences: first, setting stock prices without differentiating sectors carries the risk of generalization errors. Second, setting stock prices as the endogenous variable means assuming that the market is perfect, and efficient and market participants have rational behavior.
ISSN:0854-1442
2503-4464